ADS Track Papers Schedule

SESSION 1

Tuesday, August 8, 10:00 AM-12:00 PM, Room 101B, (Federated Learning and Marketing). Session Chair: Yang Cao
Neural Insights for Digital Marketing Content Design

Fanjie Kong (Duke University), Yuan Li (Amazon.com, Inc.), Houssam Nassif (Meta), Tanner Fiez (Amazon.com, Inc.), Ricardo Henao (Duke University; KAUST), Shreya Chakrabarti (Amazon.com, Inc.)

FedMultimodal: A Benchmark for Multimodal Federated Learning

Tiantian Feng (University of Southern California), Digbalay Bose (University of Southern California), Tuo Zhang (University of Southern California), Rajat Hebbar (University of Southern California), Anil Ramakrishna (Amazon Alexa AI), Rahul Gupta (Amazon Alexa AI), Mi Zhang (The Ohio State University), Salman Avestimehr (University of Southern California), Shrikanth Narayanan (University of Southern California)

UA-FedRec: Untargeted Attack on Federated News Recommendation

Jingwei Yi (University of Science and Technology of China), Fangzhao Wu (Microsoft Research Asia), Bin Zhu (Microsoft Research Asia), Jing Yao (Microsoft Research Asia), Zhulin Tao (Communication University of China), Guangzhong Sun (University of Science and Technology of China), Xin Xie (Microsoft Research Asia)

PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation

Ruixuan Liu (Renmin University of China), Yang Cao (Hokkaido University), Yanlin Wang (Sun Yat-sun University), Lingjuan Lyu (Sony AI), Yun Chen (Shanghai University of Finance and Economics), Hong Chen (Renmin University of China)

Explicit Feature Interaction-Aware Uplift Network for Online Marketing

Dugang Liu (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University), Xing Tang (FiT, Tencent), Han Gao (FiT, Tencent), Fuyuan Lyu (McGill University), Xiuqiang He (FiT, Tencent)

FS-REAL: Towards Real-World Cross-Device Federated Learning

Daoyuan Chen (Alibaba Group), Dawei Gao (Alibaba Group), Yuexiang Xie (Alibaba Group), Xuchen Pan (Alibaba Group), Zitao Li (Alibaba Group), Yaliang Li (Alibaba Group), Bolin Ding (Alibaba Group), Jingren Zhou (Alibaba Group)

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

Zeyu Qin (Hong Kong University of Science and Technology), Liuyi Yao (Alibaba Group), Daoyuan Chen (Alibaba Group), Yaliang Li (Alibaba Group), Bolin Ding (Alibaba Group), Minhao Cheng (Hong Kong University of Science and Technology)

Tuesday, August 8, 10:00 AM-12:00 PM, Room 102A, (Graph Learning I). Session Chair: Jing Ma
Binary Embedding-Based Retrieval at Tencent

Yukang Gan (Tencent), Yixiao Ge (Tencent), Chang Zhou (Tencent), Shupeng Su (Tencent), Zhouchuan Xu (Tencent), Xuyuan Xu (Tencent), Quanchao Hui (Tencent), Xiang Chen (Tencent), Yexin Wang (Tencent), Ying Shan (Tencent)

Learning Joint Relational Co-Evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction

Youru Li (Beijing Jiaotong University), Zhenfeng Zhu (Beijing Jiaotong University), Xiaobo Guo (Beijing Jiaotong University; MYBank, Ant Group), Linxun Chen (MYBank, Ant Group), Zhouyin Wang (MYBank, Ant Group), Yinmeng Wang (MYBank, Ant Group), Bing Han (MYBank, Ant Group), Yao Zhao (Beijing Jiaotong University)

LibAUC: A Deep Learning Library for X-Risk Optimization

Zhuoning Yuan (University of Iowa), Dixian Zhu (University of Iowa), Zi-Hao Qiu (Nanjing University), Gang Li (University of Iowa), Xuanhui Wang (Google Research), Tianbao Yang (Texas AM University)

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

Yang Li (Shanghai Jiao Tong University), Xinyan Chen (Shanghai Jiao Tong University), Wenxuan Guo (Shanghai Jiao Tong University), Xijun Li (Huawei Noah’s Ark Lab), Wanqian Luo (Huawei Noah’s Ark Lab), Junhua Huang (Huawei Noah’s Ark Lab), Hui-Ling Zhen (Huawei Noah’s Ark Lab), Mingxuan Yuan (Huawei Noah’s Ark Lab), Junchi Yan (Shanghai Jiao Tong University)

Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency

Ling Cheng (Singapore Management University), Feida Zhu (Singapore Management University), Yong Wang (Singapore Management University), Ruicheng Liang (Hefei University of Technology), Huiwen Liu (Singapore Management University)

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection

Jing Ma (University of Virginia), Chen Chen (University of Virginia), Anil Vullikanti (University of Virginia), Ritwick Mishra (University of Virginia), Gregory Madden (University of Virginia), Daniel Borrajo (J.P. Morgan AI Research), Jundong Li (University of Virginia)

Robust Multimodal Failure Detection for Microservice Systems

Chenyu Zhao (Nankai University), Minghua Ma (Microsoft), Zhenyu Zhong (Nankai University), Shenglin Zhang (Nankai University), Zhiyuan Tan (Nankai University), Xiao Xiong (Nankai University), LuLu Yu (Nankai University), Jiayi Feng (Nankai University), Yongqian Sun (Nankai University), Yuzhi Zhang (Nankai University), Dan Pei (Tsinghua University), Qingwei Lin (Microsoft), Dongmei Zhang (Microsoft)

Tuesday, August 8, 10:00 AM-12:00 PM, Room 102B, (Multi-Scenario and Multi-Task). Session Chair: Jiayu Zhou
Hierarchical Projection Enhanced Multi-behavior Recommendation

Chang Meng (Tsinghua University), Hengyu Zhang (Tsinghua University), Wei Guo (Huawei Singapore Research Center), Huifeng Guo (Huawei Noah’s Ark Lab), Haotian Liu (Tsinghua University), Yingxue Zhang (Huawei Technologies Canada), Hongkun Zheng (Huawei Technologies Co Ltd), Ruiming Tang (Huawei Noah’s Ark Lab), Xiu Li (Tsinghua University), Rui Zhang (ruizhang.info)

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Jiaxi Tang (Google Deepmind), Yoel Drori (Google Research), Daryl Chang (Google Inc), Maheswaran Sathiamoorthy (Google Deepmind), Justin Gilmer (Google Deepmind), Li Wei (Google Inc), Xinyang Yi (Google Deepmind), Lichan Hong (Google Deepmind), Ed H. Chi (Google Deepmind)

Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction

Erxue Min (Independent Researcher), Da Luo (Weixin Open Platform, Tencent), Kangyi Lin (Weixin Open Platform, Tencent), Chunzhen Huang (Weixin Open Platform, Tencent), Yang Liu (The Hong Kong University of Science and Technology)

AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations

Danwei Li (Meta AI), Zhengyu Zhang (Meta Platforms, Inc.), Siyang Yuan (Meta AI), Mingze Gao (Meta Platforms, Inc.), Weilin Zhang (Meta AI), Chaofei Yang (Meta AI), Xi Liu (Meta AI), Jiyan Yang (Meta AI)

Macular: a Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding

Haoyu Wang (Purdue University), Yaqing Wang (Purdue University), Feijie Wu (Purdue University), Hongfei Xue (University at Buffalo), Jing Gao (Purdue University)

SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation

Zhaoxin Huan (Ant Group), Ang Li (Ant Group), Xiaolu Zhang (Ant Group), Xu Min (Ant Group), Jieyu Yang (Ant Group), Yong He (Ant Group), Jun Zhou (Ant Group)

NEON: Living Needs Prediction System in Meituan

Xiaochong Lan (Tsinghua University), Chen Gao (Tsinghua University), Shiqi Wen (Meituan), Xiuqi Chen (Meituan), Yingge Che (Meituan), Han Zhang (Meituan), Huazhou Wei (Meituan), Hengliang Luo (Tsinghua University), Yong Li (Tsinghua University)

Tuesday, August 8, 10:00 AM-12:00 PM, Room 104B, (Search and Information Retrieval). Session Chair: Bing Xue
Multi-Label Learning to Rank through Multi-Objective Optimization

Debabrata Mahapatra (National University of Singapore), Chaosheng Dong (Amazon), Yetian Chen (Amazon), Michinari Momma (Amazon)

PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay

Jun Zhou (Zhejiang University; Ant Group), Yang Bao (Ant Group), Daohong Jian (Ant Group), Hua Wu (Ant Group)

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

Yubao Tang (ICT, CAS; University of Chinese Academy of Sciences), Ruqing Zhang (ICT, CAS; University of Chinese Academy of Sciences), Jiafeng Guo (ICT, CAS; University of Chinese Academy of Sciences), Jiangui Chen (ICT, CAS; University of Chinese Academy of Sciences), Zuowei Zhu (Baidu Inc.), Shuaiqiang Wang (Baidu Inc.), Dawei Yin (Baidu Inc.), Xueqi Cheng (ICT, CAS; University of Chinese Academy of Sciences)

Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force

Ritika Pandey (Indiana University – Purdue University Indianapolis), Jeremy Carter (Indiana University – Purdue University Indianapolis), James Hill (Indiana University – Purdue University Indianapolis), George Mohler (Boston College)

Learning Discrete Document Representations in Web Search

Rong Huang (Peking University), Danfeng Zhang (Baidu Inc.), Weixue Lu (Baidu Inc.), Han Li (Baidu Inc.), Meng Wang (Baidu Inc.), Daiting Shi (Baidu Inc.), Jun Fan (Baidu Inc.), Zhicong Cheng (Baidu Inc.), Simiu Gu (Baidu Inc.), Dawei Yin (Baidu Inc.)

Learning to Discover Various Simpson’s Paradoxes

Jingwei Wang (Ant Group), Jianshan He (Ant Group), Weidi Xu (Ant Group), Ruopeng Li (Ant Group), Wei Chu (Ant Group)

WebGLM: Towards an Efficient Web-Enhanced Question Answering System with Human Preference

Xiao Liu (Tsinghua University), Hanyu Lai (Tsinghua University), Hao Yu (Beihang University), Yifan Xu (Tsinghua University), Aohan Zeng (Tsinghua University), Zhengxiao Du (Tsinghua University), Peng Zhang (Zhipu.AI), Yuxiao Dong (Tsinghua University), Jie Tang (Tsinghua University)

Tuesday, August 8, 10:00 AM-12:00 PM, Room 104C, (Transportation I). Session Chair: Wei Cheng
CBLab: Supporting the Training of Large-Scale Traffic Control Policies with Scalable Traffic Simulation

Chumeng Liang (Shanghai Jiao Tong University), Zherui Huang (Shanghai Jiao Tong University), Yicheng Liu (Shanghai Jiao Tong University), Zhanyu Liu (Shanghai Jiao Tong University), Guanjie Zheng (Shanghai Jiao Tong University), Hanyuan Shi (Independent Researchers), Kan Wu (Research Center for Intelligent Transportation, Zhejiang Lab), Yuhao Du (Independent Researchers), FULIANG LI (Baidu), Zhenhui Jessie Li (Yunqi Academy of Engineering)

M3PT: A Multi-Modal Model for POI Tagging

Jingsong Yang (Fudan University), Guanzhou Han (Alibaba Group), Deqing Yang (Fudan University), Jingping Liu (East China University of Science and Technology), Yanghua Xiao (Fudan University), Xiang Xu (Alibaba Group), Baohua Wu (Alibaba Group), Shenghua Ni (Alibaba Group)

Understanding the Semantics of GPS-Based Trajectories for Road Closure Detection

Jiasheng Zhang (University of Electronic Science and Technology of China), Kaiqiang An (Didi Chuxing Technology Co.), Guoping Liu (Didi Chuxing Technology Co.), Xiang Wen (Didi Chuxing Technology Co.), Runbo Hu (Didi Chuxing Technology Co.), Jie Shao (University of Electronic Science and Technology of China)

A Data-Driven Region Generation Framework for Spatiotemporal Transportation Service Management

Liyue Chen (Peking University), Jiangyi Fang (Huazhong University of Science and Technology), Zhe Yu (DiDi Chuxing), Yongxin Tong (Beihang University), Shaosheng Cao (DiDi Chuxing), Leye Wang (Peking University)

Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections

Qian Sun (The Hong Kong University of Science and Technology), Le Zhang (Baidu Research), Huan Yu (The Hong Kong University of Science and Technology(Guangzhou); The Hong Kong University of Science and Technology), Weijia Zhang (The Hong Kong University of Science and Technology(Guangzhou)), Yu Mei (Baidu Inc.), Hui Xiong (The Hong Kong University of Science and Technology(Guangzhou); The Hong Kong University of Science and Technology)

Road Planning for Slums via Deep Reinforcement Learning

Yu Zheng (Department of Electronic Engineering, BNRist, Tsinghua University), Hongyuan Su (Department of Electronic Engineering, BNRist, Tsinghua University), Jingtao Ding (Department of Electronic Engineering, BNRist, Tsinghua University), Depeng Jin (Department of Electronic Engineering, BNRist, Tsinghua University), Yong Li (Department of Electronic Engineering, BNRist, Tsinghua University)

Large-Scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns

Shuodi Hui (Tsinghua University), Huandong Wang (Tsinghua University), Tong Li (Tsinghua University), Xinghao Yang (Tsinghua University), Xing Wang (China Mobile Research Institute), Junlan Feng (China Mobile Research Institute), Lin Zhu (China Mobile Research Institute), Chao Deng (China Mobile Research Institute), Pan Hui (Hong Kong University of Science and Technology), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)

SESSION 2

Tuesday, August 8, 1:30 PM-3:30 PM, Room 101B, (Finance). Session Chair: Dawei Zhou
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics

Youssef Elmougy (Georgia Institute of Technology), Ling Liu (Georgia Institute of Technology)

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning

Shuo Yu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Hongyan Xue (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Xiang Ao (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Feiyang Pan (Huawei EI Innovation Lab), Jia He (Huawei EI Innovation Lab), Dandan Tu (Huawei EI Innovation Lab), Qing He (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)

Commonsense Knowledge Graph towards Supper APP and Its Applications in Alipay

Xiaoling Zang (Ant Group), Binbin Hu (Ant Group), Chu Jun (Ant Group), Zhiqiang Zhang (Ant Group), Guannan Zhang (Ant Group), Jun Zhou (Ant Group), Wenliang Zhong (Ant Group)

NFT-Based Data Marketplace with Digital Watermarking

Saeed Ranjbar Alvar (Huawei Technologies Canada Co., Ltd.), Mohammad Akbari (Huawei Technologies Canada Co., Ltd.), David (Ming Xuan) Yue (Huawei Technologies Canada Co., Ltd.), Yong Zhang (Huawei Technologies Canada Co., Ltd.)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance

Yuchen Fang (Shanghai Jiao Tong University), Zhenggang Tang (University of Illinois Urbana-Champaign), Kan Ren (Microsoft Research Asia), Weiqing Liu (Microsoft Research Asia), Li Zhao (Microsoft Research Asia), Jiang Bian (Microsoft Research Asia), Dongsheng Li (Microsoft Research Asia), Weinan Zhang (Shanghai Jiao Tong University), Yong Yu (Shanghai Jiao Tong University), Tie-Yan Liu (Microsoft)

Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering

Xujia Li (Hong Kong University of Science and Technology), Yuan Li (WeBank), Xueying Mo (WeBank), Hebing Xiao (WeBank), Yanyan Shen (Shanghai Jiao Tong University), Lei Chen (Hong Kong University of Science and Technology (Guangzhou); Hong Kong University of Science and Technology)

Tuesday, August 8, 1:30 PM-3:30 PM, Room 102A, (Graph Learning 2). Session Chair: Yinglong Xia
DNet: Distributional Network for Distributional Individualized Treatment Effects

Guojun Wu (Bytedance), Ge Song (Bytedance), Xiaoxiang Lv (Bytedance), Shikai Luo (Bytedance), Chengchun Shi (London School of Economics and Political Science), Hongtu Zhu (University of North Carolina at Chapel Hill)

DGI: An Easy and Efficient Framework for GNN Model Evaluation

Peiqi Yin (AWS Shanghai AI Lab; Southern University of Science and Technology; The Chinese University of Hong Kong), Xiao Yan (Southern University of Science and Technology), Jinjing Zhou (TensorChord), Qiang Fu (George Washington University), Zhenkun Cai (AWS), James Cheng (The Chinese University of Hong Kong), Bo Tang (Southern University of Science and Technology), Minjie Wang (AWS)

Learning Multivariate Hawkes Process via Graph Recurrent Neural Network

Kanghoon Yoon (KAIST ISysE), Youngjun Im (KAIST AI), Jingyu Choi (Shinhan Card), Taehwan Jeong (Shinhan Card), Jinkyoo Park (KAIST AI; ISysE)

HUGE: Huge Unsupervised Graph Embeddings with TPUs

Brandon A. Mayer (Google Research), Anton Tsitsulin (Google Research), Hendrik Fichtenberger (Google Research), Jonathan Halcrow (Google Research), Bryan Perozzi (Google Research)

Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs

Yuankai Luo (Beihang University), Lei Shi (Beihang University), Mufan Xu (Beihang University), Yuwen Ji (Beihang University), Fengli Xiao (Beihang University), Chunming Hu (Beihang University), Zhiguang Shan (State Information Center)

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research

Arpandeep Khatua (UIUC), Vikram Sharma Mailthody (NVIDIA), Bhagyashree Taleka (UIUC), Tengfei Ma (IBM Research), Xiang Song (AWS AI), Wen-mei Hwu (NVIDIA; UIUC)

Tuesday, August 8, 1:30 PM-3:30 PM, Room 102B, (Online Games, Sports Analytics and Algorithmic Music). Session Chair: Hua Wei
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis

Wei-Yao Wang (National Yang Ming Chiao Tung University), Yung-Chang Huang (National Yang Ming Chiao Tung University), Tsi-Ui Ik (National Yang Ming Chiao Tung University), Wen-Chih Peng (National Yang Ming Chiao Tung University)

A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games

Yu Xiong (Fuxi AI Lab, NetEase Inc.), Runze Wu (Fuxi AI Lab, NetEase Inc.), Shiwei Zhao (Fuxi AI Lab, NetEase Inc.), Jianrong Tao (Fuxi AI Lab, NetEase Inc.), Xudong Shen (Fuxi AI Lab, NetEase Inc.), Tangjie Lv (Fuxi AI Lab, NetEase Inc.), Changjie Fan (Fuxi AI Lab, NetEase Inc.), Peng Cui (Tsinghua University)

Automatic Music Playlist Generation via Simulation-Based Reinforcement Learning

Federico Tomasi (Spotify), Joseph Cauteruccio (Spotify), Surya Kanoria (Spotify), Kamil Ciosek (Spotify), Matteo Rinaldi (Spotify), Zhenwen Dai (Spotify)

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Hyunsung Kim (Fitogether Inc.), Han-Jun Choi (Kangwon National University), Chang Jo Kim (Fitogether Inc.), Jinsung Yoon (Fitogether Inc.), Sang-Ki Ko (Kangwon National University; Fitogether Inc.)

un-xPass: Measuring Soccer Player’s Creativity

Pieter Robberechts (KU Leuven), Maaike Van Roy (KU Leuven), Jesse Davis (KU Leuven)

An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation

Stephen Hahn (Duke University), Rico Zhu (Duke University), Simon Mak (Duke University), Cynthia Rudin (Duke University), Yue Jiang (Duke University)

Tuesday, August 8, 1:30 PM-3:30 PM, Room 104B, (Search Engine). Session Chair: Denghui Zhang
Optimizing Airbnb Search Journey with Multi-Task Learning

Chun How Tan (Airbnb Inc.), Austin Chan (Airbnb Inc.), Malay Haldar (Airbnb Inc.), Jie Tang (Airbnb Inc.), Xin Liu (Airbnb Inc.), Mustafa Abdool (Airbnb Inc.), Huiji Gao (Airbnb Inc.), Liwei He (Airbnb Inc.), Sanjeev Katariya (Airbnb Inc.)

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank

Yunan Zhang (University of Illinois at Urbana-Champaign), Le Yan (Google Research), Zhen Qin (Google Research), Honglei Zhuang (Google Research), Jiaming Shen (Google Research), Xuanhui Wang (Google Research), Michael Bendersky (Google), Marc Najork (Google Research)

Balancing Approach for Causal Inference at Scale

Sicheng Lin (Snap Inc.), Meng Xu (Snap Inc.), Xi Zhang (Snap Inc.), Shih-Kang Chao (University of Missouri), Ying-Kai Huang (Realtor.com), Xiaolin Shi (Snap Inc.)

RankFormer: Listwise Learning-to-Rank using Listwide Labels

Maarten Buyl (Amazon; Ghent University), Paul Missault (Amazon), Pierre-Antoine Sondag (Amazon)

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data

Yuchen Li (Shanghai Jiao Tong University), Haoyi Xiong (Baidu Inc.), Linghe Kong (Shanghai Jiao Tong University), Qingzhong Wang (Baidu Inc.), Shuaiqiang Wang (Baidu Inc.), Guihai Chen (Shanghai Jiao Tong University), Dawei Yin (Baidu Inc.)

Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit

Bo Chen (Tsinghua University), Jing Zhang (Renmin University of China), Fanjin Zhang (Tsinghua University), Tianyi Han (Zhipu.AI), Yuqing Cheng (Zhipu.AI), Xiaoyan Li (Zhipu.AI), Yuxiao Dong (Tsinghua University), Jie Tang (Tsinghua University)

SESSION 3

Tuesday, August 8, 4:00 PM-6:00 PM, Room 102A, (Graph Learning III). Session Chair: Jian Kang
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification

Wen Zheng (Institute of Computing Technology, University of Chinese Academy of Sciences), Bingbing Xu (Institute of Computing Technology, Chinese Academy of Sciences), Emiao Lu (Wechat Pay, Tencent), Yang Li (Institute of Computing Technology, Chinese Academy of Sciences), Qi Cao (Institute of Computing Technology, Chinese Academy of Sciences), Xuan Zong (Wechat Pay, Tencent), Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences)

Removing Camouflage and Revealing Collusion: Leveraging Gang-Crime Pattern in Fraudster Detection

Lewen Wang (Microsoft), Haozhe Zhao (Peking University), Cunguang Feng (Peking University), Weiqing Liu (Microsoft), Congrui Huang (Microsoft), Marco Santoni (Flowe), Manuel Cristofaro (Flowe), Paola Jafrancesco (Flowe), Jiang Bian (Microsoft)

Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network

Jinzhu Mao (Tsinghua University), Liu Cao (Tsinghua University), Chen Gao (Tsinghua University), Huandong Wang (Tsinghua University), Fan Hangyu (Tsinghua University), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)

Graph Learning in Physical-Informed Mesh-Reduced Space for Real-World Dynamic Systems

Yeping Hu (Lawrence Livermore National Laboratory), Bo Lei (Lawrence Livermore National Laboratory), Victor M. Castillo (Lawrence Livermore National Laboratory)

A Multi-Stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection

Chao Wang (Meituan Group), Xiaowei Shi (Meituan Group), Shuai Xu (Meituan Group), Zhe Wang (Meituan Group), Zhiqiang Fan (Meituan Group), Yan Feng (Meituan Group), An You (Meituan Group), Yu Chen (Meituan Group)

Knowledge Based Prohibited Item Detection on Heterogeneous Risk Graphs

Tingyan Xiang (Alibaba Group), Ao Li (Alibaba Group), Yugang Ji (Alibaba Group), Dong Li (Alibaba Group)

Tuesday, August 8, 4:00 PM-6:00 PM, Room 102B, (Personalization). Session Chair: Balaji Krishnapuram
A Personalized Automated Bidding Framework for Fairness-Aware Online Advertising

Haoqi Zhang (Shanghai Jiao Tong University), Lvyin Niu (Alibaba Group), Zhenzhe Zheng (Shanghai Jiao Tong University), Zhilin Zhang (Alibaba Group), Shan Gu (Alibaba Group), Fan Wu (Shanghai Jiao Tong University), Chuan Yu (Alibaba Group), Jian Xu (Alibaba Group), Guihai Chen (Shanghai Jiao Tong University), Bo Zheng (Alibaba Group)

A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-Tag Profile Modeling

Xianghui Zhu (Shanghai Jiao Tong University), Peng Du (Alibaba Group), Shuo Shao (Shanghai Jiao Tong University), Chenxu Zhu (Shanghai Jiao Tong University), Weinan Zhang (Shanghai Jiao Tong University), Yang Wang (East China Normal University), Yang Cao (Alibaba Group)

PASS: Personalized Advertiser-Aware Sponsored Search

Zhoujin Tian (Microsoft), Chaozhuo Li (Microsoft Research Asia), Zhiqiang Zuo (Microsoft), Zengxuan Wen (Microsoft), Lichao Sun (Lehigh University), Xinyue Hu (Microsoft), Wen Zhang (Microsoft), Haizhen Huang (Microsoft), Senzhang Wang (Central South University), Weiwei Deng (Microsoft), Xing Xie (Microsoft Research Asia), Qi Zhang (Microsoft)

PlanRanker: Towards Personalized Ranking of Train Transfer Plans

Jia Xu (Guangxi University), Wanjie Tao (Alibaba Group), Zulong Chen (Alibaba Group), Jin Huang (Alibaba Group), Huihui Liu (Alibaba Group), Hong Wen (Alibaba Group), Shenghua Ni (Alibaba Group), Qun Dai (Nanjing University of Aeronautics and Astronautics), Yu Gu (Northeastern University)

TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

Xue Xia (Pinterest), Pong Eksombatchai (Pinterest), Nikil Pancha (Pinterest), Dhruvil Deven Badani (Pinterest), Po-Wei Wang (Pinterest), Neng Gu (Pinterest), Saurabh Vishwas Joshi (Pinterest), Nazanin Farahpour (Pinterest), Zhiyuan Zhang (Pinterest), Andrew Zhai (Pinterest)

PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information

Jianxin Chang (Kuaishou Technology), Chenbin Zhang (Kuaishou Technology), Yiqun Hui (Kuaishou Technology), Dewei Leng (Kuaishou Technology), Yanan Niu (Kuaishou Technology), Yang Song (Kuaishou Technology), Kun Gai (Unaffiliated)

Tuesday, August 8, 4:00 PM-6:00 PM, Room 104B, (Social Media). Session Chair: Xuan Lu
MUSER: A Multi-Step Evidence Retrieval Enhancement Framework for Fake News Detection

Hao Liao (Shenzhen University), Jiahao Peng (Shenzhen University), Zhanyi Huang (Shenzhen University), Wei Zhang (Shenzhen University), Guanghua Li (Shenzhen University), Kai Shu (Illinois Institute of Technology), Xing Xie (Microsoft Research Asia)

TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation

Wenxin Tai (University of Electronic Science and Technology of China), Bin Chen (University of Electronic Science and Technology of China), Fan Zhou (University of Electronic Science and Technology of China), Ting Zhong (University of Electronic Science and Technology of China), Goce Trajcevski (Iowa State University), Yong Wang (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology)

TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter

Xinyang Zhang (The University of Illinois at Urbana-Champaign), Yury Malkov (Twitter Cortex), Omar Florez (Twitter Cortex), Serim Park (Twitter Cortex), Brian McWilliams (Twitter Cortex), Jiawei Han (The University of Illinois at Urbana-Champaign), Ahmed El-Kishky (Twitter Cortex)

Fair Multilingual Vandalism Detection System for Wikipedia

Mykola Trokhymovych (Pompeu Fabra University), Muniza Aslam (Wikimedia Foundation), Ai-Jou Chou (Wikimedia Foundation), Ricardo Baeza-Yates (EAI, Northeastern University), Diego Saez-Trumper (Wikimedia Foundation)

Analysis of COVID-19 Offensive Tweets and Their Targets

Song Liao (Clemson University), Ebuka Okpala (Clemson University), Long Cheng (Clemson University), Mingqi Li (Clemson University), Nishant Vishwamitra (University of Texas at San Antonio), Hongxin Hu (University at Buffalo, The State University of New York), Feng Luo (Clemson University), Matthew Coste (Clemson University)

SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding

Vasilisa Bashlovkina (Google Research), Riley Matthews (Google Research), Zhaobin Kuang (Google Research), Simon Baumgartner (Google Research), Michael Bendersky (Google Research)

Constrained Social Community Recommendation

Xingyi Zhang (The Chinese University of Hong Kong), Shuliang Xu (Tencent ), Wenqing Lin (Tencent ), Sibo Wang (The Chinese University of Hong Kong)

SESSION 4

Wednesday, August 9, 10:00 AM-12:00 PM, Room 101A, (Advertising I). Session Chair: Haokai Lu
Off-Policy Learning-to-Bid with AuctionGym

Olivier Jeunen (ShareChat), Sean Murphy (Amazon), Ben Allison (Amazon)

Multi-Factor Sequential Re-Ranking with Perception-Aware Diversification

Yue Xu (Alibaba Group), Hao Chen (The Hong Kong Polytechnic University), Zefan Wang (Jinan University), Jianwen Yin (Alibaba Group), Qijie Shen (Alibaba Group), Dimin Wang (Alibaba Group), Feiran Huang (Jinan University), Lixiang Lai (Alibaba Group), Tao Zhuang (Alibaba Group), Junfeng Ge (Alibaba Group), Xia Hu (Rice University)

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Xiang-Rong Sheng (Alibaba Group), Jingyue Gao (Alibaba Group), Yueyao Cheng (Alibaba Group), Siran Yang (Alibaba Group), Shuguang Han (Alibaba Group), Hongbo Deng (Alibaba Group), Yuning Jiang (Alibaba Group), Jian Xu (Alibaba Group), Bo Zheng (Alibaba Group)

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach

Zhangming Chan (Alibaba Group), Yu Zhang (Alibaba Group), Shuguang Han (Alibaba Group), Yong Bai (Nanjing University), Xiang-Rong Sheng (Alibaba Group), Siyuan Lou (Alibaba Group), Jiacen Hu Hu (University of Science and Technology Beijing), Baolin Liu (University of Science and Technology Beijing), Yuning Jiang (Alibaba Group), Jian Xu (Alibaba Group), Bo Zheng (Alibaba Group)

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads

Penghui Wei (Alibaba Group), Yongqiang Chen (Alibaba Group), ShaoGuo Liu (Alibaba Group), Liang Wang (Alibaba Group), Bo Zheng (Alibaba Group)

TWIN: Two-Stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou

Jianxin Chang (Kuaishou Technology), Chenbin Zhang (Kuaishou Technology), Zhiyi Fu (Kuaishou Technology), Xiaoxue Zang (Kuaishou Technology), Lin Guan (Kuaishou Technology), Jing Lu (Kuaishou Technology), Yiqun Hui (Kuaishou Technology), Dewei Leng (Kuaishou Technology), Yanan Niu (Kuaishou Technology), Yang Song (Kuaishou Technology), Kun Gai (Unaffiliated)

Towards Fairness in Personalized Ads Using Impression Variance aware Reinforcement Learning

Aditya Srinivas Timmaraju (Meta), Mehdi Mashayekhi (Meta), Mingliang Chen (Meta), Qi Zeng (Meta), Quintin Fettes (Meta), Wesley Cheung (Meta), Yihan Xiao (Meta), Manojkumar Rangasamy Kannadasan (Meta), Pushkar Tripathi (Meta), Sean Gahagan (Meta), Miranda Bogen (Meta), Rob Roudani (Meta)

Wednesday, August 9, 10:00 AM-12:00 PM, Room 102A, (Health Care and Medicine). Session Chair: Xiaoli Li
Multimodal Indoor Localisation in Parkinson’s Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting

Ferdian Jovan (University of Bristol), Catherine Morgan (Bristol Medical School), Ryan McConville (University of Bristol), Emma L. Tonkin (University of Bristol), Ian Craddock (University of Bristol), Alan Whone (Southmead Hospital)

Doctor Specific Tag Recommendation for Online Medical Record Management

Yejing Wang (City University of Hong Kong), Shen Ge (Tencent Jarvis Lab), Xiangyu Zhao (City University of Hong Kong), Xian Wu (Tencent Jarvis Lab), Tong Xu (University of Science and Technology of China), Chen Ma (City University of Hong Kong), Zhi Zheng (University of Science and Technology of China)

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering

Xinyue Hu (The University of Texas at Arlington), Lin Gu (RIKEN; The University of Tokyo ), Qiyuan An (The University of Texas at Arlington), Zhang Mengliang (The University of Texas at Arlington), Liangchen Liu (National Institutes of Health Clinical Center), Kazuma Kobayashi (National Cancer Center Research Institute), Tatsuya Harada (The University of Tokyo; RIKEN ), Ronald M. Summers (National Institutes of Health Clinical Center), Yingying Zhu (The University of Texas at Arlington)

Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation

Bing Xue (Washington University in St. Louis), Ahmed Sameh Said (Washington University in St. Louis), Ziqi Xu (Washington University in St. Louis), Hanyang Liu (Washington University in St. Louis), Neel Shah (Washington University in St. Louis), Hanqing Yang (Washington University in St. Louis), Philip Payne (Washington University in St. Louis), Chenyang Lu (Washington University in St. Louis)

Identifying Complicated Contagion Scenarios from Cascade Data

Galen Harrison (University of Virginia), Amro Alabsi Aljundi (University of Virginia), Jiangzhuo Chen (University of Virginia), S.S. Ravi (University of Virginia), Anil Kumar Vullikanti (University of Virginia), Madhav Marathe (University of Virginia), Abhijin Adiga (University of Virginia)

The Missing Indicator Method: From Low to High Dimensions

Mike Van Ness (Stanford University), Tomas M Bosschieter (Stanford University), Roberto Halpin-Gregorio (Cornell University), Madeleine Udell (Stanford University)

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

Daeun Lee (Sungkyunkwan University), Sejung Son (Sungkyunkwan University), Hyolim Jeon (Sungkyunkwan University), Seungbae Kim (University of South Florida), Jinyoung Han (Sungkyunkwan University)

Wednesday, August 9, 10:00 AM-12:00 PM, Room 102B, (Recommendation Systems I). Session Chair: Wei Cheng
Controllable Multi-Objective Re-ranking with Policy Hypernetworks

Sirui Chen (Renmin University of China), Yuan Wang (Alibaba Group), Zijing Wen (Alibaba Group), Zhiyu Li (Alibaba Group), Changshuo Zhang (Renmin University of China), Xiao Zhang (Renmin University of China), Quan Lin (Alibaba Group), Cheng Zhu (Alibaba Group), Jun Xu (Renmin University of China)

M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation

Pengyu Zhao (Hulu Beijing), Xin Gao (Hulu Beijing), Chunxu Xu (Hulu Beijing), Liang Chen (Hulu Beijing)

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation

Liu Chong (Tencent Inc.), Xiaoyang Liu (OPPO Inc.), Rongqin Zheng (Tencent Inc.), Lixin Zhang (Tencent Inc.), Xiaobo Liang (Soochow University), Juntao Li (Soochow University), Lijun Wu (Microsoft Research Asia), Min Zhang (Soochow University), Leyu Lin (Tencent Inc.)

Multi-Channel Integrated Recommendation with Exposure Constraints

Yue Xu (Alibaba Group.), Qijie Shen (Alibaba Group.), Jianwen Yin (Alibaba Group.), Zengde Deng (Cainiao Network.), Dimin Wang (Alibaba Group.), Hao Chen (The Hong Kong Polytechnic University.), Lixiang Lai (Alibaba Group.), Tao Zhuang (Alibaba Group.), Junfeng Ge (Alibaba Group.)

Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems

Xiaohui Chen (Tufts University), Jiankai Sun (ByteDance Inc.), Taiqing Wang (ByteDance Inc.), Ruocheng Guo (ByteDance Research), Li-Ping Liu (Tufts University), Aonan Zhang (Apple Inc.)

On-Device Integrated Re-Ranking with Heterogeneous Behavior Modeling

Yunjia Xi (Shanghai Jiao Tong University), Weiwen Liu (Huawei Noah’s Ark Lab), Yang Wang (East China Normal University), Ruiming Tang (Huawei Noah’s Ark Lab), Weinan Zhang (Shanghai Jiao Tong University), Yue Zhu (Consumer Business Group, Huawei), Rui Zhang (ruizhang.info), Yong Yu (Shanghai Jiao Tong University)

SESSION 5

Wednesday, August 9, 1:30 PM-3:30 PM, Room 101A, (Advertising II). Session Chair: Liang Tang
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

Liyao Jiang (University of Alberta), Chenglin Li (University of Alberta), Haolan Chen (Platform and Content Group, Tencent), Xiaodong Gao (Platform and Content Group, Tencent), Xinwang Zhong (Platform and Content Group, Tencent), Yang Qiu (Platform and Content Group, Tencent), Shani Ye (Platform and Content Group, Tencent), Di Niu (University of Alberta)

An Empirical Study of Selection Bias in Pinterest Ads Retrieval

Yuan Wang (Santa Clara University), Peifeng Yin (Pinterest), Zhiqiang Tao Tao (Rochester Institute of Technology), Hari Venkatesan (Pinterest), Jin Lai (Pinterest), Yi Fang (Santa Clara University), PJ XIAO (Pinterest)

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

Weitong Ou (Shanghai Jiao Tong University), Bo Chen (Huawei Noah’s Ark Lab), Yingxuan Yang (Shanghai Jiao Tong University), Xinyi Dai (Shanghai Jiao Tong University), Weiwen Liu (Huawei Noah’s Ark Lab), Weinan Zhang (Shanghai Jiao Tong University), Ruiming Tang (Huawei Noah’s Ark Lab), Yong Yu (Shanghai Jiao Tong University)

Extreme Multi-Label Classification for Ad Targeting using Factorization Machines

Martin Pavlovski (Yahoo Research), Srinath Ravindran (Yahoo Research), Djordje Gligorijevic (eBay), Shubham Agrawal (Yahoo Research), Ivan Stojkovic (Yahoo Research), Nelson Segura-Nunez (Yahoo Inc.), Jelena Gligorijevic (Yahoo Research)

A Collaborative Transfer Learning Framework for Cross-Domain Recommendation

Wei Zhang (Meituan), Pengye Zhang (Meituan), Bo Zhang (Meituan), Xingxing Wang (Meituan), Dong Wang (Meituan)

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

Jieming Zhu (Huawei Noah’s Ark Lab), Guohao Cai (Huawei Noah’s Ark Lab), Junjie Huang (Shanghai Jiao Tong University), Zhenhua Dong (Huawei Noah’s Ark Lab), Ruiming Tang (Huawei Noah’s Ark Lab), Weinan Zhang (Shanghai Jiao Tong University)

FairCod: A Fairness-Aware Concurrent Dispatch System for Large-scale Instant Delivery Services

Lin Jiang (Southeast University), Shuai Wang (Southeast University), Baoshen Guo (Southeast University), Hai Wang (Southeast University), Desheng Zhang (Rutgers University), Guang Wang (Florida State University)

Wednesday, August 9, 1:30 PM-3:30 PM, Room 102A, (Language Models I). Session Chair: Gabor Melli
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-Textual Features for CTR Prediction

Dong Wang (STCA, Microsoft Corporation), Kav Salamatian (University of Savoie), Yunqing Xia (STCA, Microsoft Corporation), Weiwei Deng (STCA, Microsoft Corporation), Qi Zhang (STCA, Microsoft Corporation)

QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search

Jian Xie (Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University), Yidan Liang (Alibaba Group), Jingping Liu (School of Information Science and Engineering, East China University of Science and Technology), Yanghua Xiao (Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University), Baohua Wu (Alibaba Group), Shenghua Ni (Alibaba Group)

GLM-Dialog: Noise-tolerant Pre-Training for Knowledge-Grounded Dialogue Generation

Jing Zhang (Renmin University of China), Xiaokang Zhang (Renmin University of China), Daniel Zhang-Li (Tsinghua University), Jifan Yu (Tsinghua University), Zijun Yao (Tsinghua University), Zeyao Ma (Beijing University of Posts and Telecommunications), Yiqi Xu (Renmin University of China), Haohua Wang (Tsinghua University), Xiaohan Zhang (ZHIPU.AI), Nianyi Lin (Tsinghua University), Sunrui Lu (Tsinghua University), Juanzi Li (Tsinghua University), Jie Tang (Tsinghua University)

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

Xin Zhao (Gaoling School of Artificial Intelligence, Renmin University of China), Kun Zhou (School of Information, Renmin University of China), Beichen Zhang (Gaoling School of Artificial Intelligence, Renmin University of China), Zheng Gong (Gaoling School of Artificial Intelligence, Renmin University of China), Zhipeng Chen (Gaoling School of Artificial Intelligence, Renmin University of China), Yuanhang Zhou (School of Information, Renmin University of China), Ji-Rong Wen (Gaoling School of Artificial Intelligence, Renmin University of China), Jing Sha (iFLYTEK Research, State Key Laboratory of Cognitive Intelligence), Shijin Wang (iFLYTEK AI Research (Central China), iFLYTEK Research, State Key Laboratory of Cognitive Intelligence), Cong Liu (iFLYTEK Research), Guoping Hu (iFLYTEK Research)

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams

Iddo Drori (MIT, Columbia University, Boston University), Sarah J. Zhang (MIT), Reece Shuttleworth (MIT), Sarah Zhang (MIT), Keith Tyser (Boston University), Zad Chin (Harvard University), Pedro Lantigua (MIT), Saisamrit Surbehera (Columbia University), Gregory Hunter (Columbia University), Derek Austin (Columbia University), Leonard Tang (Harvard University), Yann Hicke (Cornell University), Sage Simhon (MIT), Sathwik Karnik (MIT), Darnell Granberry (MIT), Madeleine Udell (Stanford University)

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications

Han Xie (Emory University), Da Zheng (Amazon AWS AI), Jun Ma (Walgreens AI Lab), Houyu Zhang (Amazon Search AI), Vassilis N. Ioannidis (Amazon Search AI), Xiang Song (Amazon AWS AI), Qing Ping (Amazon Search AI), Sheng Wang (Amazon Scholar), Carl Yang (Emory University), Yi Xu (Amazon Search AI), Belinda Zeng (Amazon Search AI), Trishul Chilimbi (Amazon Search AI)

Wednesday, August 9, 1:30 PM-3:30 PM, Room 102B, (Recommendation Systems II). Session Chair: Yinglong Xia
Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes

Alex Deng (Airbnb), Michelle Du (Airbnb), Anna Matlin (Airbnb), Qing Zhang (Airbnb)

Fresh Content Needs More Attention: Multi-Funnel Fresh Content Recommendation

Jianling Wang (Google), Haokai Lu (Google), Sai Zhang (Google), Bart Locanthi (Google), Haoting Wang (Google), Dylan Greaves (Google), Benjamin Lipshitz (Google), Sriraj Badam (Google), Ed Chi (Google), Cristos Goodrow (Google), Su-Lin Wu (Google), Lexi Baugher (Google), Minmin Chen (Google)

VRDU: A Benchmark for Visually-Rich Document Understanding

Zilong Wang (University of California, San Diego), Yichao Zhou (Google), Wei Wei (Google), Chen-Yu Lee (Google), Sandeep Tata (Google)

PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation

Xuewu Jiao (Baidu Inc.), Weibin Li (Baidu Inc.), Xinxuan Wu (Baidu Inc.), Wei Hu (Baidu Inc.), Miao Li (Baidu Inc.), Jiang Bian (Baidu Inc.), Siming Dai (Baidu Inc.), Xinsheng Luo (Baidu Inc.), Mingqing Hu (Baidu Inc.), Zhengjie Huang (Baidu Inc.), Danlei Feng (Baidu Inc.), Junchao Yang (Baidu Inc.), Shikun Feng (Baidu Inc.), Haoyi Xiong (Baidu Inc.), Dianhai Yu (Baidu Inc.), Shuanglong Li (Baidu Inc.), Jingzhou He (Baidu Inc.), Yanjun Ma (Baidu Inc.), Lin Liu (Baidu Inc.)

Counterfactual Video Recommendation for Duration Debiasing

Shisong Tang (Tsinghua University ), Qing Li (Peng Cheng Laboratory), Dingmin Wang (University of Oxford), Ci Gao (Jilin university), Wentao Xiao (Tsinghua University ), Dan Zhao (Peng Cheng Laboratory), Yong Jiang (Tsinghua University), Qian Ma (ByteDance Inc.), Aoyang Zhang (ByteDance Inc.)

Exploiting Intent Evolution in E-commercial Query Recommendation

Yu Wang (University of Illinois Chicago), Zhengyang Wang (Amazon), Hengrui Zhang (University of Illinois Chicago), Qingyu Yin (Amazon), Xianfeng Tang (Amazon), Yinghan Wang (Amazon), Danqing Zhang (Amazon), Limeng Cui (Amazon), Monica Cheng (Amazon), Bing Yin (Amazon), Suhang Wang (Amazon), Philip S. Yu (University of Illinois Chicago)

Workplace Recommendation with Temporal Network Objectives

Kiran Tomlinson (Cornell University), Jennifer Neville (Microsoft), Longqi Yang (Microsoft), Mengting Wan (Microsoft), Cao Lu (Microsoft)

SESSION 6

Wednesday, August 9, 4:00 PM-6:00 PM, Room 101A, (Big Data and Machine Learning). Session Chair: Yan Liang
Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments

Ha Xuan Tran (University of South Australia), Thuc Duy Le (University of South Australia), Jiuyong Li (University of South Australia), Lin Liu (University of South Australia), Xiaomei Li (University of South Australia; CSIRO), Jixue Liu (University of South Australia), Tony Waters (Maxima Training Group (Aust) Ltd.)

Influence Maximization with Fairness at Scale

Yuting FENG (University Paris-Saclay; CNRS LISN), Ankitkumar Patel (University of California – Berkeley), Bogdan Cautis (University Paris-Saclay; CNRS IPAL Singapore), Hossein Vahabi (University of California – Berkeley)

Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning

Yu Shen (Peking University; ByteDance Inc.), Xinyuyang Ren (ByteDance Inc.), Yupeng Lu (Peking University; ByteDance Inc.), Huaijun Jiang (Peking University; ByteDance Inc.), Huanyong Xu (ByteDance Inc.), Di Peng (ByteDance Inc.), Yang Li (Peking University), Wentao Zhang (Mila – Québec AI Institute), Bin Cui (Peking University; Peking University (Qingdao))

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library

Mathieu Guillame-Bert (Google), Sebastian Bruch (Pinecone), Richard Stotz (Google), Jan Pfeifer (Google)

Time-to-Event Modeling with Hypernetwork based Hawkes Process

Manisha Dubey (IIT Hyderabad), Srijith P K (IIT Hyderabad), Maunendra Desarkar (IIT Hyderabad)

Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning

Jacob Brown (Princeton University), Xi Jiang (University of Chicago), Van Tran (University of Chicago), Arjun Nitin Bhagoji (University of Chicago), Nguyen Phong Hoang (University of Chicago), Nick Feamster (University of Chicago), Prateek Mittal (Princeton University), Vinod Yegneswaran (SRI International)

Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines

Dezhan Tu (University of California, Los Angeles), Yeye He (Microsoft Research), Weiwei Cui (Microsoft Research), Song Ge (Microsoft Research), Haidong Zhang (Microsoft Research), Shi Han (Microsoft Research), Dongmei Zhang (Microsoft Research), Surajit Chaudhuri (Microsoft Research)

Wednesday, August 9, 4:00 PM-6:00 PM, Room 102A, (Language Models II). Session Chair: Krishnaram Kenthapadi
End-to-End Query Term Weighting

Karan Samel (Georgia Tech), Cheng Li (Google), Weize Kong (Google), Tao Chen (Google), Mingyang Zhang (Google), Shaleen Gupta (Google), Swaraj Khadanga (Google), Wensong Xu (Google), Xingyu Wang (Google), Kashyap Kolipaka (Google), Michael Bendersky (Google), Marc Najork (Google)

UnifieR: A Unified Retriever for Large-Scale Retrieval

Tao Shen (University of Technology Sydney), Xiubo Geng (Microsoft), Chongyang Tao (Microsoft), Can Xu (Microsoft), Guodong Long (University of Technology Sydney), Kai Zhang (The Ohio State University), Daxin Jiang (Microsoft)

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment

Chuyu Fang (Beihang University; BOSS Zhipin), Chuan Qin (BOSS Zhipin), Qi Zhang (Shanghai Artificial Intelligence Laboratory), Kaichun Yao (Institute of Software, Chinese Academy of Sciences), Jingshuai Zhang (Baidu Inc.), Hengshu Zhu (BOSS Zhipin), Fuzhen Zhuang (Beihang University), Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou); HKUST)

Binary Classifier Evaluation on Unlabeled Segments using Inverse Distance Weighting with Distance Learning

Xu Chen (Meta), Katerina Marazopoulou (Meta), Wesley Lee (Meta), Christine Agarwal (Meta), Jason Sukumaran (Meta), Aude Hofleitner (Meta)

Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment

Atharva Kulkarni (Carnegie Mellon University), Sarah Masud (IIIT-Delhi), Vikram Goyal (IIIT-Delhi), Tanmoy Chakraborty (IIT Delhi)

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Qinkai Zheng (Tsinghua University), Xiao Xia (Tsinghua University), Xu Zou (Tsinghua University), Yuxiao Dong (Tsinghua University), Shan Wang (Tsinghua University), Yufei Xue (Tsinghua University), Lei Shen (Tsinghua University), Zihan Wang (Tsinghua University), Andi WANG (Tsinghua University), Yang Li (Tsinghua University), Teng Su (Huawei), Zhilin Yang (Tsinghua University), Jie Tang (Tsinghua University)

Wednesday, August 9, 4:00 PM-6:00 PM, Room 102B, (Recommendation Systems III). Session Chair: Jiayu Zhou
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification

Kevin Fauvel (Huawei Technologies Co., Ltd), Fuxing Chen (Huawei Technologies Co., Ltd), Dario Rossi (Huawei Technologies Co., Ltd)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation

Yuting Zhang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Yiqing Wu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Ran Le (Meituan), Yongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University), Ruidong Han (Meituan), Xiang Li (Unaffiliated), Wei Lin (Unaffiliated), Zhulin An (Institute of Computing Technology, Chinese Academy of Sciences), Yongjun Xu (Institute of Computing Technology, Chinese Academy of Sciences)

SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and its Evaluation

Md. Ekramul Islam (Giga Tech Limited), Labib Chowdhury (Giga Tech Limited), Faisal Ahamed Khan (Giga Tech Limited), Shazzad Hossain (Giga Tech Limited), Md Sourave Hossain (Giga Tech Limited), Mohammad Mamun Or Rashid (Bangladesh Computer Council), Nabeel Mohammed (North South University), Mohammad Ruhul Amin (Fordham University)

Empowering Long-Tail Item Recommendation through Cross Decoupling Network

Yin Zhang (Google Research, Brain Team), Ruoxi Wang (Google Research, Brain Team), Derek Zhiyuan Cheng (Google Research, Brain Team), Tiansheng Yao (Google Research, Brain Team), Xinyang Yi (Google Research, Brain Team), Lichan Hong (Google Research, Brain Team), James Caverlee (Texas AM University), Ed H. Chi (Google Research, Brain Team)

Stationary Algorithmic Balancing Over Dynamic Email Re-Ranking Problem

Jiayi Liu (Purdue University), Jennifer Neville (Purdue University; Microsoft Research)

Revisiting Neural Retrieval on Accelerators

Jiaqi Zhai (Meta Platforms, Inc.), Zhaojie Gong (Meta Platforms, Inc.), Yueming Wang (Meta Platforms, Inc.), Xiao Sun (Meta Platforms, Inc.), Zheng Yan (Meta Platforms, Inc.), Fu Li (Meta Platforms, Inc.), Xing Liu (Meta Platforms, Inc.)

SESSION 7

Thursday, August 10, 10:00 AM-12:00 PM, Room 101A, (E-Commerce). Session Chair: Yan Liang
Group-based Fraud Detection Network on E-Commerce Platforms

Jianke Yu (Zhejiang Gongshang University), Hanchen Wang (Zhejiang Gongshang University; University of Technology Sydney), Xiaoyang Wang (University of New South Wales), Zhao Li (Zhejiang University), Lu Qin (University of Technology Sydney), Wenjie Zhang (University of New South Wales), Jian Liao (Alibaba Group), Ying Zhang (Zhejiang Gongshang University; University of Technology Sydney)

CADENCE: Offline Category Constrained and Diverse Query Generation for E-Commerce Autosuggest

Abhinav Anand (Flipkart Internet Pvt. Ltd.), Surender Kumar (Flipkart Internet Pvt. Ltd.), Nandeesh Kumar (Indian Institute Of Science), Samir Shah (Flipkart Internet Pvt. Ltd.)

Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement

Samik Datta (Amazon), Anshuman Mourya (Amazon), Anirban Majumder (Amazon), Vineet Chaoji (Amazon)

Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile Logistics

Baoshen Guo (Southeast University; JD Logistics), Shuai Wang (Southeast University ), Haotian Wang (JD Logistics), Yunhuai Liu (Peking University; JD Logistics), Fanshuo Kong (JD Logistics), Desheng Zhang (Rutgers University), Tian He (JD Logistics)

Sequence As Genes: A User Behavior Modeling Framework for Fraud Transaction Detection in E-Commerce

Ziming Wang (Alibaba Group), Qianru Wu (Alibaba Group), Baolin Zheng (Alibaba Group), Junjie Wang (Alibaba Group), Kaiyu Huang (Alibaba Group), Yanjie Shi (Alibaba Group)

Entity-Aware Multi-Task Learning for Query Understanding at Walmart

Zhiyuan Peng (Santa Clara University), Vachik Dave (Walmart Global Tech), Nicole McNabb (Walmart Global Tech), Rahul Sharnagat (Walmart Global Tech), Alessandro Magnani (Walmart Global Tech), Ciya Liao (Walmart Global Tech), Yi Fang (Santa Clara University), Sravanthi Rajanala (Walmart Global Tech)

Thursday, August 10, 10:00 AM-12:00 PM, Room 102A, (Manufacturing). Session Chair: Guixiang Ma
Towards A Generic Framework for Mechanism-Guided Deep Learning for Manufacturing Applications

Hanbo Zhang (Fudan University), Jiangxin Li (Fudan University), Shen Liang (Universit Paris Cit), Peng Wang (Fudan University), Themis Palpanas (Universit Paris Cit; French University Institute (IUF)), Chen Wang (Tsinghua University), Wei Wang (Fudan University), Haoxuan Zhou (Xi’an Jiaotong University; Politecnico di Milano), Jianwei Song (Hudong-Zhonghua Shipbuilding (Group) Co,Ltd.), Wen Lu (Hudong-Zhonghua Shipbuilding (Group) Co,Ltd.)

Taming the Domain Shift in Multi-Source Learning for Energy Disaggregation

Xiaomin Chang (University of Sydney), Wei Li (University of Sydney), Yunchuan Shi (University of Sydney), Albert Y. Zomaya (University of Sydney)

Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning

Hasan Tercan (University of Wuppertal), Tobias Meisen (University of Wuppertal)

Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry

Wenxuan Ao (Tsinghua University), Guozhen Zhang (Tsinghua University; TsingRoc), Yong Li (Tsinghua University), Depeng Jin (Tsinghua University)

Multi Datasource LTV User Representation

Junwoo Yun (Bagelcode), Wonryeol Kwak (Bagelcode), Joohyun Kim (Bagelcode)

Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting

Linxiao Yang (DAMO Academy, Alibaba Group), Rui Ren (DAMO Academy, Alibaba Group), Xinyue Gu (DAMO Academy, Alibaba Group), Liang Sun (DAMO Academy, Alibaba Group)

Thursday, August 10, 10:00 AM-12:00 PM, Room 102B, (Recommendation Systems IV). Session Chair: Ruocheng Guo
Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress Detection

Xin Wang (Tsinghua University), Huijun Zhang (Tsinghua University), Lei Cao (Beijing Normal University), Kaisheng Zeng (Tsinghua University), Qi Li (Beijing Normal University), Ningyun Li (Tsinghua University), Ling Feng (Tsinghua University)

Fusing Multimodal Signals on Hyper-Complex Space for Extreme Abstractive Text Summarization of Scientific Contents

Yash Kumar Atri (IIIT Delhi), Vikram Goyal (IIIT Delhi), Tanmoy Chakraborty (IIIT Delhi)

Adaptive Graph Contrastive Learning for Recommendation

Yangqin Jiang (University of Hong Kong), Chao Huang (University of Hong Kong), Lianghao Xia (University of Hong Kong)

BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment

Xiao Hu (BOSS Zhipin), Yuan Cheng (BOSS Zhipin), Zhi Zheng (University of Science and Technology of China; BOSS Zhipin), Yue Wang (BOSS Zhipin), Xinxin Chi (BOSS Zhipin), Hengshu Zhu (BOSS Zhipin)

Tree-Based Progressive Regression Model for Watch-Time Prediction in Short-Video Recommendation

Xiao Lin (Kuaishou Technology), Xiaokai Chen (Kuaishou Technology), LInfeng Song (Kuaishou Technology), Jingwei Liu (Kuaishou Technology), Biao Li (Kuaishou Technology), Peng Jiang (Kuaishou Technology)

PIER: Permutation-Level Interest-Based End-to-End Re-Ranking Framework in E-Commerce

Xiaowen Shi (Meituan), Fan Yang (Meituan), Ze Wang (Meituan), Xiaoxu Wu (Meituan), Muzhi Guan (Meituan), Guogang Liao (Meituan), Wang Yongkang (Meituan), Xingxing Wang (Meituan), Dong Wang (Meituan)

Thursday, August 10, 10:00 AM-12:00 PM, Room 104B, (Time-Series and Anomalies). Session Chair: Xiaoli Li
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery

Xuechun Li (SUNY at Stony Brook), Paula M. Burgi (U.S. Geological Survey), Wei Ma (Hong Kong Polytechnic University), Hae Young Noh (Stanford University), David Jay Wald (U.S. Geological Survey), Susu Xu (SUNY at Stony Brook)

Interdependent Causal Networks for Root Cause Localization

Dongjie Wang (University of Central Florida), Zhengzhang Chen (NEC Laboratories America Inc), Jingchao Ni (AWS AI Labs, Amazon), Liang Tong (NEC Laboratories America Inc), Zheng Wang (University of Utah), Yanjie Fu (University of Central Florida ), Haifeng Chen (NEC Laboratories America Inc)

Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19

Ting Dang (University of Cambridge), Jing Han (University of Cambridge), Tong Xia (University of Cambridge), Erika Bondareva (University of Cambridge), Chlo Siegele-Brown (University of Southampton), Jagmohan Chauhan (University of Southampton), Andreas Grammenos (University of Cambridge), Dimitris Spathis (University of Cambridge), Pietro Cicuta (University of Cambridge), Cecilia Mascolo (University of Cambridge)

Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics

Yakir Yehuda (Technion-Israel Institute of Technology), Daniel Freedman (Verily Research), Kira Radinsky (Technion-Israel Institute of Technology)

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection

Huazhang Wang (Beijing Institute of Technology), Zhaojing Luo (National University of Singapore), James W.L. Yip (National University Heart Centre), Chuyang Ye (Beijing Institute of Technology), Meihui Zhang (Beijing Institute of Technology)

AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn

Zhentao Xu (LinkedIn Corporation), Ruoying Wang (LinkedIn Corporation), Girish Balaji (LinkedIn Corporation), Manas Bundele (LinkedIn Corporation), Xiaofei Liu (LinkedIn Corporation), Leo Liu (LinkedIn Corporation), Tie Wang (LinkedIn Corporation)

Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales

Ruikun Li (Tsinghua University), Huandong Wang (Tsinghua University), Yong Li (Tsinghua University)

SESSION 8

Thursday, August 10, 1:30 PM-3:30 PM, Room 102A, (Miscellaneous). Session Chair: Chen Zhao
C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery Platform

Yida Zhu (Meituan), Liying Chen (Meituan), Daping Xiong (Meituan), Shuiping Chen (Meituan), Fangxiao Du (Meituan), Jinghua Hao (Meituan), Renqing He (Meituan), Zhizhao Sun (Meituan)

Real Time Index and Search Across Large Quantities of GNN Experts For Low Latency Online Learning

Johan Zhi Kang Kok (National University of Singapore), Sien Yi Tan (GrabTaxi Holdings), Bingsheng He (National University of Singapore), Zhen Zhang (National University of Singapore)

Discovering Novel Biological Traits from Images using Phylogeny-Guided Neural Networks

Mohannad Elhamod (Virginia Tech), Mridul Khurana (Virginia Tech), Harish Babu Manogaran (Virginia Tech), Josef C. Uyeda (Virginia Tech), Meghan A. Balk (Battelle), Wasila Dahdul (University of California, Irvine), Yasin Bakis (Tulane University), Henry L. Bart (Tulane University), Paula M. Mabee (Battelle), Hilmar Lapp (Duke University), James P. Balhoff (University of North Carolina at Chapel Hill), Caleb Charpentier (Virginia Tech), David Carlyn (The Ohio State University), Wei-Lun Chao (The Ohio State University), Charles V. Stewart (Rensselaer Polytechnic Institute), Daniel I. Rubenstein (Princeton University), Tanya Berger-Wolf (The Ohio State University), Anuj Karpatne (Virginia Tech)

From Labels to Decisions: A Mapping-Aware Annotator Model

Evan Yao (Massachusetts Institute of Technology), Jagdish Ramakrishnan (Meta), Xu Chen (Meta), Viet-An Nguyen (Meta), Udi Weinsberg (Meta)

ILRoute: A Graph-based Imitation Learning Method to Unveil Riders’ Routing Strategies in Food Delivery Service

Tao Feng (Tsinghua University), Huan Yan (Tsinghua University), Huandong Wang (Tsinghua University), Wenzhen Huang (Tsinghua University), Yuyang Han (Tsinghua University), Hongsen Liao (Tsinghua University), Jinghua Hao (Tsinghua University), Yong Li (Tsinghua University)

Online Few-Shot Time Series Classification for Aftershock Detection

Sheng Zhong (The University of New Mexico), Vinicius M.A. Souza (Pontifical Catholic University of Paran), Glenn Eli Baker (The Air Force Research Laboratory), Abdullah Mueen (The University of New Mexico)

Contextual Self-Attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets

Fangkai Yang (Microsoft), Jue Zhang (Microsoft), Lu Wang (Microsoft), Bo Qiao (Microsoft), Di Weng (Microsoft), Xiaoting Qin (Microsoft), Gregory Weber (Microsoft), Durgesh Nandini Das (Microsoft), Srinivasan Rakhunathan (Microsoft), Ranganathan Srikanth (Microsoft), Qingwei Lin (Microsoft), Dongmei Zhang (Microsoft)

Thursday, August 10, 1:30 PM-3:30 PM, Room 102B, (Reinforcement Learning). Session Chair: Yanjie Fu
Efficient Continuous Space Policy Optimization for High-frequency Trading

Li Han (East China Normal University), Nan Ding (East China Normal University), Guoxuan Wang (Tongji University), Dawei Cheng (Tongji University; Shanghai Artificial Intelligence Laboratory), Yuqi Liang (Emoney Inc.)

Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning

Weiguang Han (Wuhan University), Boyi Zhang (Wuhan University), Qianqian Xie (Wuhan University), Min Peng (Wuhan University), Yanzhao Lai (Southwest Jiaotong University), Jimin Huang (Chancefocus AMC)

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring

Runzhe Wan (Amazon), Yu Liu (Amazon), James McQueen (Amazon), Doug Hains (Amazon), Rui Song (Amazon)

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback

Lu Wang (Microsoft), Chaoyun Zhang (Microsoft), Ruomeng Ding (Georgia Tech), Yong Xu (Microsoft), Qihang Chen (Peking University), Wentao Zou (Microsoft), Qingjun Chen (Microsoft), Meng Zhang (Microsoft), Xuedong Gao (Microsoft), Hao Fan (Microsoft), Saravan Rajmohan (Microsoft 365), Qingwei Lin (Microsoft), Dongmei Zhang (Microsoft)

Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications

Mila Nambiar (Institute for Infocomm Research (I2R), A*STAR), Supriyo Ghosh (Institute for Infocomm Research (I2R), A*STAR), Priscilla Ong (Institute for Infocomm Research (I2R), A*STAR), Yu En Chan (Institute for Infocomm Research (I2R), A*STAR), Yong Mong Bee (Singapore General Hospital), Pavitra Krishnaswamy (Institute for Infocomm Research (I2R), A*STAR)

DRL4Route: A Deep Reinforcement Learning Framework for Pick-Up and Delivery Route Prediction

Xiaowei Mao (Beijing Jiaotong University; Cainiao Network), Haomin Wen (Beijing Jiaotong University; Cainiao Network), Hengrui Zhang (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining), Huaiyu Wan (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining), Lixia Wu (Cainiao Network), Jianbin Zheng (Cainiao Network), Haoyuan Hu (Cainiao Network), Youfang Lin (Beijing Jiaotong University; Beijing Key Laboratory of Traffic Data Analysis and Mining)

A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-Mile Logistics

Kaiwen Xia (Southeast University; JD Logistics), Li Lin (Southeast University), Shuai Wang (Southeast University), Haotian Wang (JD Logistics), Desheng Zhang (Rutgers University), Tian He (JD Logistics)

Thursday, August 10, 1:30 PM-3:30 PM, Room 104B, (Transportation II). Session Chair: Jian Kang
SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records

Zhipeng Ma (Southwest Jiaotong University; JD iCity, JD Technology), Chuishi Meng (JD iCity, JD Technology), Huimin Ren (JD iCity, JD Technology), Sijie Ruan (Beijing Institute of Technology), Jie Bao (JD iCity, JD Technology), Xiaoting Wang (JD iCity, JD Technology), Tianrui Li (Southwest Jiaotong University), Yu Zheng (JD iCity, JD Technology)

Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi

Hao Liu (The Hong Kong University of Science and Technology (Guangzhou)), Wenzhao Jiang (The Hong Kong University of Science and Technology (Guangzhou)), Shui Liu (Didichuxing Co. Ltd), Xi Chen (Didichuxing Co. Ltd)

QTNet: Theory-Based Queue Length Prediction for Urban Traffic

Ryu Shirakami (Sumitomo Electric System Solutions, Co., Ltd.), Toshiya Kitahara (Sumitomo Electric System Solutions, Co., Ltd.), Koh Takeuchi (Kyoto University), Hisashi Kashima (Kyoto University)

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation

Jindong Han (The Hong Kong University of Science and Technology), Hao Liu (The Hong Kong University of Science and Technology (Guangzhou); Guangzhou HKUST Fok Ying Tung Research Institute), Shui Liu (Didichuxing Co. Ltd.), Xi Chen (Didichuxing Co. Ltd.), Naiqiang Tan (Didichuxing Co. Ltd.), Hua Chai (Didichuxing Co. Ltd.), Hui Xiong (The Hong Kong University of Science and Technology (Guangzhou) ; Guangzhou HKUST Fok Ying Tung Research Institute)

A Preference-Aware Meta-Optimization Framework for Personalized Vehicle Energy Consumption Estimation

Siqi Lai (The Hong Kong University of Science and Technology (Guangzhou)), Weijia Zhang (The Hong Kong University of Science and Technology (Guangzhou)), Hao Liu (The Hong Kong University of Science and Technology (Guangzhou))

Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph

Zhang Shiyuan (Tsinghua University), Tong Li (Tsinghua University), Shuodi Hui (Tsinghua University), Guangyu Li (China Mobile Research Institute), Yanping Liang (China Mobile Research Institute), Li Yu (China Mobile Research Institute), Depeng Jin (Tsinghua University), Yong Li (Tsinghua University)

Practical Synthetic Human Trajectories Generation Based on Variational Point Processes

Qingyue Long (Department of Electronic Engineering, Tsinghua University), Huandong Wang (Department of Electronic Engineering, Tsinghua University), Tong Li (Department of Electronic Engineering, Tsinghua University), Lisi Huang (China Mobile Research Institute), Kun Wang (China Mobile Research Institute), Qiong Wu (China Mobile Research Institute), Guangyu Li (China Mobile Research Institute), Yanping Liang (China Mobile Research Institute), Li Yu (China Mobile Research Institute), Yong Li (Department of Electronic Engineering, Tsinghua University)