KDD 2022 ADS Poster Assignments

7:00 pm to 8:30 pm on August 15

Poster Position ID Paper ID Paper Title
1 20 Collborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
2 28 ChemicalX: A Deep Learning Library for Drug Pair Scoring
3 60 What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?
4 88 DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu Maps
5 118 Downscaling Earth System Models with Deep Learning
6 129 DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders
7 157 AutoShard: Automated Embedding Table Sharding for Recommender Systems
8 252 Profiling Deep Learning Workloads at Scale using Amazon SageMaker
9 309 Graph Neural Network Training and Data Tiering
10 430 NxtPost: User to Post Recommendations in Facebook Groups
11 443 DocLayNet: A Large Human-annotated Dataset for Document Layout Segmentation
12 447 CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation
13 451 Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator
14 503 CS-RAD: Conditional Member Status Refinement and Ability Discovery for Social Network Applications
15 523 Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch
16 534 Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising
17 549 Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
18 573 Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme
19 667 Affective Signals in a Social Media Recommender System
20 677 An Online Multi-task Learning Framework for Google Feed Ads Auction Models
21 683 HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
22 727 Predicting Bearings' Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry
23 733 Looper: an end-to-end ML platform for product decisions
24 786 Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning
25 890 A Meta Reinforcement Learning Approach for Predictive Autoscaling In the Cloud
26 918 Rax: Composable Learning-to-Rank using JAX
27 923 Large-Scale Acoustic Automobile Fault Detection: Diagnosing Engines Through Sound
28 931 Type Linking for Query Understanding and Semantic Search
29 944 Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph
30 945 COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
31 951 Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
32 955 Amazon StyleSnap: A Visual Search System for Fashion and Home
33 956 Scale Calibration of Deep Ranking Models
34 959 Surrogate for Long-Term User Experience in Recommender Systems
35 967 Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
36 975 T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling
37 983 Sparx: Distributed Outlier Detection at Scale
38 998 TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
39 1010 Fast Mining and Forecasting of Co-evolving Epidemiological Data Streams
40 1011 Representative Routes Discovery From Massive Trajectories
41 1020 TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation
42 1034 A Logic Aware Neural Generation Method for Explainable Data-to-text
43 1078 No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
44 1108 A Process-Aware Decision Support System for Business Processes
45 1121 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation
46 1166 Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
47 1196 Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks
48 1215 The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model Learning
49 1250 RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks
50 1274 Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction
51 1278 Rapid Regression Detection in Software Deployments through Sequential Testing
52 1280 AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks
53 1326 Generalized Deep Mixed Models
54 1339 EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain
55 1400 CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution
56 1420 Counterfactual Phenotyping with Censored Time-to-Events
57 1422 Dynamic Graph Segmentation For Deep Graph Neural Networks
58 1432 EasyFGL: Towards a Unified, Comprehensive and Efficient Platform for Federated Graph Learning
59 1445 DP-GAT: A Framework for Image-based Disease Progression Prediction
60 1467 Modeling the Effect of Persuasion Factor on User Decision for Recommendation
61 1471 Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks
62 1508 Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series
63 1514 Design Domain Specific Neural Network via Symbolic Testing
64 1546 FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling
65 1571 Automatically Discovering User Consumption Intents in Meituan
66 1590 User Behavior Pre-training for Online Fraud Detection
67 1613 NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
68 1620 Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
69 1626 Company-as-Tribe: Company Financial Risk Assessment On Tribe-Style Graph With Hierarchical Graph Neural Networks
70 1657 BE3R: BERT based Early-Exit using Expert Routing
71 1708 What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?
72 1777 Characterizing Covid waves via spatio-temporal decomposition
73 1804 Multi-Aspect Dense Retrieval
74 1820 Seq2Event: Learning the Language of Soccer using Transformer-based Match Event Prediction
75 1823 Towards Learning Disentangled Representations for Time Series
76 1830 Real-Time Rideshare Driver Supply Values using Online Reinforcement Learning
77 1849 Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits
78 1850 Generating Examples From CLI Usage: Can Transformers Help?
79 1852 Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power Perspectives
80 1869 Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models
81 1872 Towards reliable detection of dielectric hotspots in thermal images of the underground distribution network
82 1876 A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
83 1878 Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce
84 1907 Automatic Generation of Product-Image Sequence in E-commerce
85 1920 SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data
86 1921 CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval
87 1963 A Fully Differentiable Set Autoencoder
88 1966 Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks
89 1995 CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences
90 1996 PinnerFormer: Sequence Modeling for User Representation at Pinterest
91 2011 Structure-Aware Multilingual Language Model: Leveraging Graph Structures for Search Relevance in E-commerce
92 2013 Temporal Multimodal Multivariate Learning
93 2017 A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments
94 2044 Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
95 2292 Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
96 2048 Semantic Aware Answer Sentence Selection using Self-Learning based Domain Adaptation
97 2051 Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTM
98 2053 Semantic Retrieval at Walmart
99 2054 Greykite: Deploying Flexible Forecasting at Scale in LinkedIn
100 2065 Septor: Seismic Depth Estimation using Hierarchical Neural Network
101 2073 Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery
102 2088 SAMCNet for Spatial-configuration-based Classification: A Summary of Results
103 2090 Preventing Catastrophic Forgetting in Natural Language Tasks
104 2093 ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
105 2100 Automatic Controllable Product Copywriting for E-Commerce
106 2115 Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data
107 2127 Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
108 2130 ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
109 2137 Interpretable Personalized Experimentation
110 2143 Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
111 2166 Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs
112 2184 BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning
113 2227 CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming Platform
114 2228 Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand
115 2230 Device-Cloud Collaborative Recommendation via Meta Controller
116 2233 Generalizable floorplanner through Corner Block List representation and Hypergraph embedding
117 2238 RT-VeD: Real-Time VoI Detection on Edge Nodes with an Adaptive Model Selection Framework
118 2258 Crowdsourcing with Contextual Uncertainty
119 2296 TaxoTrans: Taxonomy-Guided Entity Translation
120 2298 Multilingual Taxonomic Web Page Classification for Contextual Targeting at Yahoo
121 2307 Perioperative Predictions with Interpretable Latent Representation
122 2312 A Graph Learning Based Framework for Billion-Scale Offline User Identification
123 2345 Multi-objective Optimization of Notifications Using Offline Reinforcement Learning
124 2370 Learning Backward Compatible Embeddings
125 2418 Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement Learning
126 2440 Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations
127 2441 ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference Framework
128 2489 Recommendation in offline stores: A gamification approach for learning the spatiotemporal representation of indoor shopping
129 2514 Pretraining Representations of Multi-modal Multi-query E-commerce Search
130 2604 GraphWorld: Fake Graphs Bring Real Insights for GNNs
131 2620 Ask to know more: Counterfactual Explanations for Fake Claims
132 2636 GradMask: Gradient-Guided Token Masking for Textual Adversarial Example Detection
133 2649 CERAM: Coverage Expansion for Recommendations by Associating Discarded Models
134 2669 Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction
135 2670 Duplex Conversation: Enable Human-like Interaction in Spoken Dialogue System
136 2693 OAG-LM: Towards A Unified Backbone Language Model For Academic Knowledge Services
137 2710 ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning
138 2733 Graph Neural Networks for Multimodal Single-Cell Data Integration
139 2786 Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora