kdd2023

KDD2023

Track	Name	Theme	Type	Title	Paper	Slide	Video	Organization	Country
Workshop	OARS	Recommendation	Invited	Large Language Models for Generative Recommendation
Workshop	OARS	Recommendation	Contributed	Active Learning with a Budget to Rank Candidates Rated by Disjoint Assessors	link
Workshop	OARS	Recommendation	Contributed	Evaluating Federated Session-Based Recommender Systems	link
Workshop	OARS	Recommendation	Invited	Incremental Training, Session-based Recommendation, and System Level Approaches to Online Recommender Systems
Workshop	OARS	Recommendation	Invited	User Centric Recommender Systems
Workshop	OARS	Recommendation	Contributed	FLASH4Rec: A Lightweight and Sparsely Activated Transformer for User-Aware Sequential Recommendation	link
Workshop	OARS	Recommendation	Contributed	Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning	link			University of Galway Ireland
Workshop	OARS	Recommendation	Invited	Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs	link	link
Workshop	OARS	Recommendation	Contributed	Decision Layer: Enhancing Multi-model, Multi Timescale Decisions on the Fly with Online Feedback	link			Amazon Ads	India
Workshop	AdKDD	Recommendation		TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter	link			Twitter	USA
Workshop	AdKDD	Recommendation		Advancing Ad Auction Realism: Practical Insights & Modeling Implications	link			Amazon Ads	USA
Workshop	AdKDD	Recommendation		Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation	link			Yahoo Research	USA
Workshop	AdKDD	Recommendation	Keynote	YouTube Ad Recommendations			link	YouTube Ads	USA
Workshop	AdKDD	Recommendation		AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction	link			Credit Karma	USA
Workshop	AdKDD	Recommendation	Invited Talk	Measuring Incrementality in LinkedIn's Job Marketplace
Workshop	AdKDD	Recommendation		Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking	link			Meta Platforms, Inc.	USA
Workshop	AdKDD	Recommendation		Hierarchical Queries Optimization for the Attribution Reporting API
Workshop	AdKDD	Recommendation		Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search	link			eBay Inc.	USA
Workshop	AdKDD	Recommendation		Private Ad Modeling with DP-SGD	link			Google	USA
Workshop	AdKDD	Recommendation		Scaling Generative Pre-training for User Ad Activity Sequences	link			Amazon Ads
Workshop	EvalRS	Recommendation		Realistic but Non-Identifiable Synthetic User Data Generation	link			Google Research
Workshop	EvalRS	Recommendation		Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems	link
Workshop	EvalRS	Recommendation		Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders	link
Workshop	EvalRS	Recommendation		Evaluating Recommendation Systems Using the Power of Embeddings	link
Workshop	EvalRS	Recommendation		Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce	link			GrubHub	USA
ADS		Federated Learning and Marketing	Paper	Neural Insights for Digital Marketing Content Design	link			Amazon.com, Inc	USA
ADS		Federated Learning and Marketing		FedMultimodal: A Benchmark for Multimodal Federated Learning	link				USA
ADS		Federated Learning and Marketing		UA-FedRec: Untargeted Attack on Federated News Recommendation	link			Microsoft Research Asia	China
ADS		Federated Learning and Marketing		PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation	link				China
ADS		Federated Learning and Marketing		Explicit Feature Interaction-Aware Uplift Network for Online Marketing	link				China
ADS		Federated Learning and Marketing		FS-REAL: Towards Real-World Cross-Device Federated Learning	link			Alibaba Group	China
ADS		Federated Learning and Marketing		Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks	link			Alibaba Group	China
ADS		Graph Learning I		Binary Embedding-Based Retrieval at Tencent	link			Tencent	China
ADS		Graph Learning I		Learning Joint Relational Co-Evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction					China
ADS		Graph Learning I		LibAUC: A Deep Learning Library for X-Risk Optimization	link
ADS		Graph Learning I		HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline	link			Huawei Noah’s Ark Lab	China
ADS		Graph Learning I		Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency	link				Singapore
ADS		Graph Learning I		A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection	link
ADS		Graph Learning I		Robust Multimodal Failure Detection for Microservice Systems	link				China
ADS		Multi-Scenario and Multi-Task		Hierarchical Projection Enhanced Multi-behavior Recommendation	link			Huawei Noah’s Ark Lab	China
ADS		Multi-Scenario and Multi-Task	Best Paper Award	Improving Training Stability for Multitask Ranking Models in Recommender Systems	link			Google Deepmind	USA
ADS		Multi-Scenario and Multi-Task		Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction	link			Tencent	China
ADS		Multi-Scenario and Multi-Task		AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations	link			Meta AI	USA
ADS		Multi-Scenario and Multi-Task		Macular: a Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding
ADS		Multi-Scenario and Multi-Task		SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation			link	Ant Group	China
ADS		Multi-Scenario and Multi-Task		NEON: Living Needs Prediction System in Meituan	link			Meituan	China
ADS		Search and Information Retrieval		Multi-Label Learning to Rank through Multi-Objective Optimization	link			Amazon.com Inc
ADS		Search and Information Retrieval		PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay	link			Ant Group	China
ADS		Search and Information Retrieval		Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies	link			Baidu Inc
ADS		Search and Information Retrieval		Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force
ADS		Search and Information Retrieval		Learning Discrete Document Representations in Web Search			link	Baidu Inc
ADS		Search and Information Retrieval		Learning to Discover Various Simpson’s Paradoxes			link	Ant Group
ADS		Search and Information Retrieval		WebGLM: Towards an Efficient Web-Enhanced Question Answering System with Human Preference	link				China
ADS		Transportation I		CBLab: Supporting the Training of Large-Scale Traffic Control Policies with Scalable Traffic Simulation
ADS		Transportation I		M3PT: A Multi-Modal Model for POI Tagging	link			Alibaba Group	China
ADS		Transportation I		Understanding the Semantics of GPS-Based Trajectories for Road Closure Detection
ADS		Transportation I		A Data-Driven Region Generation Framework for Spatiotemporal Transportation Service Management
ADS		Transportation I		Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections
ADS		Transportation I		Road Planning for Slums via Deep Reinforcement Learning
ADS		Transportation I		Large-Scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns
ADS		Finance		Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
ADS		Finance		Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
ADS		Finance		Commonsense Knowledge Graph towards Supper APP and Its Applications in Alipay
ADS		Finance		NFT-Based Data Marketplace with Digital Watermarking
ADS		Finance		Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
ADS		Finance		Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering
ADS		Graph Learning 2		DNet: Distributional Network for Distributional Individualized Treatment Effects
ADS		Graph Learning 2		DGI: An Easy and Efficient Framework for GNN Model Evaluation
ADS		Graph Learning 2		Learning Multivariate Hawkes Process via Graph Recurrent Neural Network
ADS		Graph Learning 2		HUGE: Huge Unsupervised Graph Embeddings with TPUs
ADS		Graph Learning 2		Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
ADS		Graph Learning 2		IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
ADS		Online Games		ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis
ADS		Online Games		A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games
ADS		Online Games		Automatic Music Playlist Generation via Simulation-Based Reinforcement Learning
ADS		Online Games		Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
ADS		Online Games		un-xPass: Measuring Soccer Player’s Creativity
ADS		Online Games		An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody Generation
ADS		Search Engine		Optimizing Airbnb Search Journey with Multi-Task Learning	link			Airbnb Inc.	USA
ADS		Search Engine		Towards Disentangling Relevance and Bias in Unbiased Learning to Rank	link			Google Research	USA
ADS		Search Engine		Balancing Approach for Causal Inference at Scale
ADS		Search Engine		RankFormer: Listwise Learning-to-Rank using Listwide Labels	link			Amazon	USA
ADS		Search Engine		S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data	link		link	Baidu Inc	China
ADS		Search Engine		Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit	link			Zhipu.AI	China
ADS		Graph Learning III		MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification
ADS		Graph Learning III		Removing Camouflage and Revealing Collusion: Leveraging Gang-Crime Pattern in Fraudster Detection
ADS		Graph Learning III		Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
ADS		Graph Learning III		Graph Learning in Physical-Informed Mesh-Reduced Space for Real-World Dynamic Systems
ADS		Graph Learning III		A Multi-Stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection	link			Meituan Group	China
ADS		Graph Learning III		Knowledge Based Prohibited Item Detection on Heterogeneous Risk Graphs			link	Alibaba Group
ADS		Personalization		A Personalized Automated Bidding Framework for Fairness-Aware Online Advertising	link		link	Alibaba Group
ADS		Personalization		A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-Tag Profile Modeling
ADS		Personalization		PASS: Personalized Advertiser-Aware Sponsored Search
ADS		Personalization		PlanRanker: Towards Personalized Ranking of Train Transfer Plans	link		link	Alibaba Group	China
ADS		Personalization		TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest	link			Pinterest	USA
ADS		Personalization		PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information	link			Kuaishou Technology	China
ADS		Social Media		MUSER: A Multi-Step Evidence Retrieval Enhancement Framework for Fake News Detection	link
ADS		Social Media		TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP Geolocation
ADS		Social Media		TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
ADS		Social Media		Fair Multilingual Vandalism Detection System for Wikipedia
ADS		Social Media		Analysis of COVID-19 Offensive Tweets and Their Targets
ADS		Social Media		SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding
ADS		Social Media		Constrained Social Community Recommendation	link			Tencent	China
ADS		Advertising I		Off-Policy Learning-to-Bid with AuctionGym			link	Amazon	UK
ADS		Advertising I		Multi-Factor Sequential Re-Ranking with Perception-Aware Diversification	link			Alibaba Group
ADS		Advertising I		Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model	link			Alibaba Group
ADS		Advertising I		Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach	link			Alibaba Group
ADS		Advertising I		RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads	link			Alibaba Group
ADS		Advertising I		TWIN: Two-Stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou	link			Kuaishou Technology
ADS		Advertising I		Towards Fairness in Personalized Ads Using Impression Variance aware Reinforcement Learning	link			Meta
ADS		Health Care and Medicine		Multimodal Indoor Localisation in Parkinson’s Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
ADS		Health Care and Medicine		Doctor Specific Tag Recommendation for Online Medical Record Management
ADS		Health Care and Medicine		Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
ADS		Health Care and Medicine		Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
ADS		Health Care and Medicine		Identifying Complicated Contagion Scenarios from Cascade Data
ADS		Health Care and Medicine		The Missing Indicator Method: From Low to High Dimensions
ADS		Health Care and Medicine		Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning
ADS		Recommendation Systems I		Controllable Multi-Objective Re-ranking with Policy Hypernetworks	link			Alibaba Group
ADS		Recommendation Systems I		M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation	link			Hulu Beijing	China
ADS		Recommendation Systems I		CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation	link			Tencent Inc.
ADS		Recommendation Systems I		Multi-Channel Integrated Recommendation with Exposure Constraints	link			Alibaba Group.
ADS		Recommendation Systems I		Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems	link			ByteDance
ADS		Recommendation Systems I		On-Device Integrated Re-Ranking with Heterogeneous Behavior Modeling	link		link	Huawei Noah’s Ark Lab
ADS		Advertising II		AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
ADS		Advertising II		An Empirical Study of Selection Bias in Pinterest Ads Retrieval	link			Pinterest
ADS		Advertising II		Deep Landscape Forecasting in Multi-Slot Real-Time Bidding	link		link	Huawei Noah’s Ark Lab
ADS		Advertising II		Extreme Multi-Label Classification for Ad Targeting using Factorization Machines	link		link	Yahoo Research
ADS		Advertising II		A Collaborative Transfer Learning Framework for Cross-Domain Recommendation	link			Meituan
ADS		Advertising II		ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop	link			Huawei Noah’s Ark Lab
ADS		Language Models I		BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-Textual Features for CTR Prediction	link		link	STCA, Microsoft Corporation
ADS		Language Models I		QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
ADS		Language Models I		GLM-Dialog: Noise-tolerant Pre-Training for Knowledge-Grounded Dialogue Generation
ADS		Language Models I		JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving
ADS		Language Models I		From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams
ADS		Language Models I		Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications
ADS		Recommendation Systems II		Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes	link			Airbnb
ADS		Recommendation Systems II		Fresh Content Needs More Attention: Multi-Funnel Fresh Content Recommendation	link		link	Google
ADS		Recommendation Systems II		VRDU: A Benchmark for Visually-Rich Document Understanding	link		link	Google
ADS		Recommendation Systems II		PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation			link	Baidu Inc.
ADS		Recommendation Systems II		Counterfactual Video Recommendation for Duration Debiasing	link
ADS		Recommendation Systems II		Exploiting Intent Evolution in E-commercial Query Recommendation	link		link	Amazon
ADS		Recommendation Systems II		Workplace Recommendation with Temporal Network Objectives	link		link	Microsoft
ADS		Big Data and Machine Learning		Stabilising Job Survival Analysis for Disability Employment Services in Unseen Environments
ADS		Big Data and Machine Learning		Influence Maximization with Fairness at Scale
ADS		Big Data and Machine Learning		Rover: An Online Spark SQL Tuning Service via Generalized Transfer Learning
ADS		Big Data and Machine Learning		Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library
ADS		Big Data and Machine Learning		Time-to-Event Modeling with Hypernetwork based Hawkes Process
ADS		Big Data and Machine Learning		Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
ADS		Big Data and Machine Learning		Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines
ADS		Language Models II		End-to-End Query Term Weighting
ADS		Language Models II		UnifieR: A Unified Retriever for Large-Scale Retrieval
ADS		Language Models II		RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment
ADS		Language Models II		Binary Classifier Evaluation on Unlabeled Segments using Inverse Distance Weighting with Distance Learning
ADS		Language Models II		Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
ADS		Language Models II		CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
ADS		Recommendation Systems III		A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification	link			Huawei Technologies Co., Ltd
ADS		Recommendation Systems III		Modeling Dual Period-Varying Preferences for Takeaway Recommendation	link		link
ADS		Recommendation Systems III		SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and its Evaluation	link		link	Giga Tech Limited
ADS		Recommendation Systems III		Empowering Long-Tail Item Recommendation through Cross Decoupling Network	link		link	Google Research
ADS		Recommendation Systems III		Stationary Algorithmic Balancing Over Dynamic Email Re-Ranking Problem	link			Microsoft Research	USA
ADS		Recommendation Systems III		Revisiting Neural Retrieval on Accelerators	link		link	Meta Platforms, Inc
ADS		E-Commerce		Group-based Fraud Detection Network on E-Commerce Platforms
ADS		E-Commerce		CADENCE: Offline Category Constrained and Diverse Query Generation for E-Commerce Autosuggest
ADS		E-Commerce		Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement
ADS		E-Commerce		Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile Logistics
ADS		E-Commerce		Sequence As Genes: A User Behavior Modeling Framework for Fraud Transaction Detection in E-Commerce
ADS		E-Commerce		Entity-Aware Multi-Task Learning for Query Understanding at Walmart
ADS		Manufacturing		Towards A Generic Framework for Mechanism-Guided Deep Learning for Manufacturing Applications
ADS		Manufacturing		Taming the Domain Shift in Multi-Source Learning for Energy Disaggregation
ADS		Manufacturing		Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning
ADS		Manufacturing		Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry
ADS		Manufacturing		Multi Datasource LTV User Representation
ADS		Manufacturing		Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting
ADS		Recommendation Systems IV		Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress Detection	link		link
ADS		Recommendation Systems IV		Fusing Multimodal Signals on Hyper-Complex Space for Extreme Abstractive Text Summarization of Scientific Contents	link				India
ADS		Recommendation Systems IV		Adaptive Graph Contrastive Learning for Recommendation	link
ADS		Recommendation Systems IV		BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment	link		link	BOSS Zhipin	China
ADS		Recommendation Systems IV		Tree-Based Progressive Regression Model for Watch-Time Prediction in Short-Video Recommendation	link			Kuaishou Technology	China
ADS		Recommendation Systems IV		PIER: Permutation-Level Interest-Based End-to-End Re-Ranking Framework in E-Commerce	link			Meituan	China
ADS		Time-Series and Anomalies		DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery
ADS		Time-Series and Anomalies		Interdependent Causal Networks for Root Cause Localization
ADS		Time-Series and Anomalies		Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19
ADS		Time-Series and Anomalies		Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics
ADS		Time-Series and Anomalies		ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection
ADS		Time-Series and Anomalies		AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn
ADS		Time-Series and Anomalies		Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales
ADS		Miscellaneous		C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery Platform
ADS		Miscellaneous		Real Time Index and Search Across Large Quantities of GNN Experts For Low Latency Online Learning
ADS		Miscellaneous		Discovering Novel Biological Traits from Images using Phylogeny-Guided Neural Networks
ADS		Miscellaneous		From Labels to Decisions: A Mapping-Aware Annotator Model
ADS		Miscellaneous		ILRoute: A Graph-based Imitation Learning Method to Unveil Riders’ Routing Strategies in Food Delivery Service
ADS		Miscellaneous		Online Few-Shot Time Series Classification for Aftershock Detection
ADS		Miscellaneous		Contextual Self-Attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets
ADS		Reinforcement Learning		Efficient Continuous Space Policy Optimization for High-frequency Trading
ADS		Reinforcement Learning		Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning
ADS		Reinforcement Learning		Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
ADS		Reinforcement Learning		Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback
ADS		Reinforcement Learning		Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications
ADS		Reinforcement Learning		DRL4Route: A Deep Reinforcement Learning Framework for Pick-Up and Delivery Route Prediction
ADS		Reinforcement Learning		A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-Mile Logistics
ADS		Transportation II		SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records
ADS		Transportation II		Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi
ADS		Transportation II		QTNet: Theory-Based Queue Length Prediction for Urban Traffic
ADS		Transportation II		iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation
ADS		Transportation II		A Preference-Aware Meta-Optimization Framework for Personalized Vehicle Energy Consumption Estimation
ADS		Transportation II		Deep Transfer Learning for City-Scale Cellular Traffic Generation through Urban Knowledge Graph
ADS		Transportation II		Practical Synthetic Human Trajectories Generation Based on Variational Point Processes
Research		Anomaly Detection		Anomaly Detection with Score Distribution Discrimination
Research		Anomaly Detection		Data-Efficient and Interpretable Tabular Anomaly Detection
Research		Anomaly Detection		DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Research		Anomaly Detection		Deep Weakly-Supervised Anomaly Detection
Research		Anomaly Detection		Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection
Research		Anomaly Detection		Precursor-of-Anomaly Detection for Irregular Time Series
Research		NLP I		MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer
Research		NLP I		CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning
Research		NLP I		MetricPrompt: Prompting Model as a Relevance Metric for Few-Shot Text Classification
Research		NLP I		Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler
Research		NLP I		A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation and Segment Labeling
Research		NLP I		Open-Set Semi-Supervised Text Classification with Latent Outlier Softening
Research		Efficient ML		Constraint-Aware and Ranking-Distilled Token Pruning for Efficient Transformer Inference
Research		Efficient ML		COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
Research		Efficient ML		Kernel Ridge Regression-Based Graph Dataset Distillation
Research		Efficient ML		Efficient Coreset Selection with Cluster-Based Methods
Research		Efficient ML		The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles
Research		Ranking		Off-Policy Evaluation of Ranking Policies under Diverse User Behavior	link		link	Yahoo Japan Corporation	Japan
Research		Ranking		Generative Flow Network for Listwise Recommendation	link			Kuaishou	China
Research		Ranking		Rank-heterogeneous Preference Models for School Choice
Research		Ranking		Querywise Fair Learning to Rank through Multi-Objective Optimization	link		link	Amazon	USA
Research		Ranking		PSLOG: Pretraining with Search Logs for Document Ranking	link		link		China
Research		Graph Mining I		Reducing Exposure to Harmful Content via Graph Rewiring
Research		Graph Mining I		Efficient Approximation Algorithms for Spanning Centrality
Research		Graph Mining I		A Higher-Order Temporal H-Index for Evolving Networks
Research		Graph Mining I		Quantifying Node Importance over Network Structural Stability
Research		Graph Mining I		Efficient Centrality Maximization with Rademacher Averages
Research		Graph Mining I		Accelerating Personalized PageRank Vector Computation	link		link
Research		Social Computing		Community-based Dynamic Graph Learning for Popularity Prediction
Research		Social Computing		Fair Allocation Over Time, with Applications to Content Moderation
Research		Social Computing		A Sublinear Time Algorithm for Opinion Optimization in Directed Social Networks via Edge Recommendation	link
Research		Social Computing		Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
Research		Social Computing		How Transitive Are Real-World Group Interactions? Measurement and Reproduction
Research		Social Computing		Predicting Information Pathways Across Online Communities
Research		AutoML		Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data
Research		AutoML		Deep Pipeline Embeddings for AutoML
Research		AutoML		Dependence and Model Selection in LLP: The Problem of Variants
Research		AutoML		Rapid Image Labeling via Neuro-Symbolic Learning
Research		AutoML		Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
Research		NLP II		CFGL-LCR: A Counterfactual Graph Learning framework for Legal Case Retrieval
Research		NLP II		Dense Representation Learning and Retrieval for Tabular Data Prediction
Research		NLP II		LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias
Research		NLP II		LightToken: A Task and Model-Agnostic Lightweight Token Embedding Framework for Pre-trained Language Models
Research		NLP II		DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Research		NLP II		GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network
Research		Explainable AI		Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
Research		Explainable AI		MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
Research		Explainable AI		CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations
Research		Explainable AI		Fire: An Optimization Approach for Fast Interpretable Rule Extraction
Research		Explainable AI		ESSA: Explanation Iterative Supervision via Saliency-Guided Data Augmentation
Research		Explainable AI		A Causality Inspired Framework for Model Interpretation
Research		Graph Representation Learning		Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-Scale Disentangled Representations
Research		Graph Representation Learning		What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
Research		Graph Representation Learning		Efficient and Effective Edge-Wise Graph Representation Learning
Research		Graph Representation Learning		Towards Graph-Level Anomaly Detection via Deep Evolutionary Mapping
Research		Graph Representation Learning		VQNE: Variational Quantum Network Embedding with Application to Network Alignment
Research		Graph Representation Learning		CARL-G: Clustering-Accelerated Representation Learning on Graphs
Research		Graph Mining II		Optimal Dynamic Subset Sampling: Theory and Applications
Research		Graph Mining II		Capacity Constrained Influence Maximization in Social Networks
Research		Graph Mining II		On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms
Research		Graph Mining II		Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
Research		Graph Mining II		Minimizing Hitting Time between Disparate Groups with Shortcut Edges
Research		Graph Mining II		Sequential Learning Algorithms for Contextual Model-Free Influence Maximization
Research		Spatiotemporal Data		Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
Research		Spatiotemporal Data		Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
Research		Spatiotemporal Data		Localised Adaptive Spatial-Temporal Graph Neural Network
Research		Spatiotemporal Data		Spatio-Temporal Diffusion Point Processes
Research		Spatiotemporal Data		ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM
Research		Spatiotemporal Data		On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness
Research		Weakly-Supervised Learning		Complementary Classifier Induced Partial Label Learning
Research		Weakly-Supervised Learning		Deep Encoders with Auxiliary Parameters for Extreme Classification
Research		Weakly-Supervised Learning		Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction
Research		Weakly-Supervised Learning		To Aggregate or Not? Learning with Separate Noisy Labels
Research		Weakly-Supervised Learning		Partial-label Learning with Mixed Closed-Set and Open-Set Out-of-Candidate Examples
Research		Weakly-Supervised Learning		Local Boosting for Weakly-Supervised Learning
Research		ML for System		One for All: Unified Workload Prediction for Dynamic Multi-Tenant Edge Cloud Platforms
Research		ML for System		GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction
Research		ML for System		Learning Autoregressive Model in LSM-Tree based Store
Research		ML for System		PERT-GNN: Latency Prediction for Microservice-Based Cloud-Native Applications via Graph Neural Networks
Research		ML for System		IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems
Research		ML for System		A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning
Research		Causal Inference		Treatment Effect Estimation with Adjustment Feature Selection
Research		Causal Inference		Specify Robust Causal Representation from Mixed Observations
Research		Causal Inference		CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems
Research		Causal Inference		Detecting Interference in Online Controlled Experiments with Increasing Allocation
Research		Causal Inference		Causal Effect Estimation on Hierarchical Spatial Graph Data
Research		Optimization		Communication Efficient Distributed Newton Method with Fast Convergence Rates
Research		Optimization		Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint
Research		Optimization		Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term
Research		Optimization		Fragility Index: A New Approach for Binary Classification
Research		Optimization		Approximation Algorithms for Size-Constrained Non-Monotone Submodular Maximization in Deterministic Linear Time
Research		Optimization		Efficient Sparse Linear Bandits under High Dimensional Data
Research		Expressiveness of Graph Neural Network		Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information
Research		Expressiveness of Graph Neural Network		A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
Research		Expressiveness of Graph Neural Network		On Structural Expressive Power of Graph Transformers
Research		Expressiveness of Graph Neural Network		MGNN: Graph Neural Networks Inspired by Distance Geometry Problem
Research		Expressiveness of Graph Neural Network		Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Research		Recommendation Systems		Text Is All You Need: Learning Language Representations for Sequential Recommendation	link		link	Amazon	USA
Research		Recommendation Systems		MAP: A Model-agnostic Pretraining Framework for Click-Through Rate Prediction	link		link	Huawei Noah’s Ark Lab	China
Research		Recommendation Systems		Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction	link				China
Research		Recommendation Systems		PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-Term User Engagement	link		link	Kuaishou	China
Research		Recommendation Systems		Efficient Bi-Level Optimization for Recommendation Denoising	link		link		China
Research		Recommendation Systems		Adaptive Disentangled Transformer for Sequential Recommendation	link		link	Tsinghua University	China
Research		Graph Neural Networks		Learning Strong Graph Neural Networks with Weak Information
Research		Graph Neural Networks		Clenshaw Graph Neural Networks
Research		Graph Neural Networks	Best Paper Award	All in One: Multi-Task Prompting for Graph Neural Networks
Research		Graph Neural Networks		Certified Edge Unlearning for Graph Neural Networks
Research		Graph Neural Networks		Augmenting Recurrent Graph Neural Networks with a Cache
Research		Graph Neural Networks		Narrow the Input Mismatch in Deep Graph Neural Network Distillation
Research		Streaming Data		Finding Favourite Tuples on Data Streams with Provably Few Comparisons
Research		Streaming Data		SketchPolymer: Estimate Per-Item Tail Quantile Using One Sketch
Research		Streaming Data		Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream
Research		Streaming Data		Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors – Algorithm and Application
Research		Streaming Data		MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming
Research		Streaming Data		Sketch-Based Anomaly Detection in Streaming Graphs
Research		Knowledge and Reasoning II		Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge
Research		Knowledge and Reasoning II		Knowledge Graph Reasoning over Entities and Numerical Values
Research		Knowledge and Reasoning II		Exploiting Relation-Aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning
Research		Knowledge and Reasoning II		AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning
Research		Knowledge and Reasoning II		Context-Aware Event Forecasting via Graph Disentanglement
Research		Knowledge and Reasoning II		Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Research		Causal Structure Learning		GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Research		Causal Structure Learning		Generative Causal Interpretation Model for Spatio-Temporal Representation Learning
Research		Causal Structure Learning		MM-DAG: Multi-task DAG Learning for Multi-Modal Data with Application for Traffic Congestion Analysis
Research		Causal Structure Learning		Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Research		Causal Structure Learning		Discovering Dynamic Causal Space for DAG Structure Learning
Research		Node Classification I		Node Classification Beyond Homophily: Towards a General Solution
Research		Node Classification I		Grace: Graph Self-Distillation and Completion to Mitigate Degree-Relatednesses
Research		Node Classification I		GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Research		Node Classification I		Classification of Edge-Dependent Labels of Nodes in Hypergraphs
Research		Node Classification I		Enhancing Graph Representations Learning with Decorrelated Propagation
Research		Node Classification I		HGCN: Tree-Likeness Modeling via Continuous and Discrete Curvature Learning
Research		Fairness		Path-Specific Counterfactual Fairness for Recommender Systems
Research		Fairness		SURE: Robust, Explainable, and Fair Classification without Sensitive Attributes
Research		Fairness		Learning for Counterfactual Fairness from Observational Data
Research		Fairness		Online Fairness Auditing through Iterative Refinement
Research		Fairness		Towards Fair Disentangled Online Learning for Changing Environments
Research		Recommendation with Graph		Meta Graph Learning for Long-Tail Recommendation	link		link	Alibaba Group	China
Research		Recommendation with Graph		Graph Neural Bandits	link			ETH Zurich	Switzerland
Research		Recommendation with Graph		E-commerce Search via Content Collaborative Graph Neural Network	link		link	Alibaba Group	China
Research		Recommendation with Graph		Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation	link			Yonsei University	Korea
Research		Recommendation with Graph		Knowledge Graph Self-Supervised Rationalization for Recommendation	link		link		China
Research		Recommendation with Graph		On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering	link			Microsoft Research Asia	China
Research		KDD for Security		Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks
Research		KDD for Security		Incremental Causal Graph Learning for Online Root Cause Analysis
Research		KDD for Security		Cracking White-Box DNN Watermarks via Invariant Neuron Transforms
Research		KDD for Security		Machine Unlearning in Gradient Boosting Decision Trees
Research		KDD for Security		3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
Research		Time Series I		Transferable Graph Structure Learning for Graph-Based Traffic Forecasting Across Cities
Research		Time Series I		TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Research		Time Series I		Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Research		Time Series I		FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework
Research		Time Series I		When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
Research		Time Series I		Warpformer: A Multi-Scale Modeling Approach for Irregular Clinical Time Series
Research		Knowledge and Reasoning II		CampER: An Effective Framework for Privacy-Aware Deep Entity Resolution
Research		Knowledge and Reasoning II		Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-Source Knowledge Graphs
Research		Knowledge and Reasoning II		Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Research		Knowledge and Reasoning II		Few-Shot Low-Resource Knowledge Graph Completion with Multi-view Task Representation Generation
Research		Knowledge and Reasoning II		Multi-Grained Multimodal Interaction Network for Entity Linking
Research		Clustering		Prescriptive PCA: Dimensionality Reduction for Two-Stage Stochastic Optimization
Research		Clustering		Online Level-Wise Hierarchical Clustering
Research		Clustering		Connecting the Dots: Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering
Research		Clustering		Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures
Research		Clustering		Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic Tree
Research		Node Classification II		PROSE: Graph Structure Learning via Progressive Strategy
Research		Node Classification II		Contrastive Meta-Learning for Few-Shot Node Classification
Research		Node Classification II		Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining
Research		Node Classification II		Virtual Node Tuning for Few-Shot Node Classification
Research		Node Classification II		Task-Equivariant Graph Few-Shot Learning
Research		Federated Learning & Distributed Learning I		FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity
Research		Federated Learning & Distributed Learning I		DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization
Research		Federated Learning & Distributed Learning I		FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Research		Federated Learning & Distributed Learning I		Personalized Federated Learning with Parameter Propagation
Research		Federated Learning & Distributed Learning I		Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Research		Reinforcement Learning		HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy
Research		Reinforcement Learning		GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
Research		Reinforcement Learning		Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Research		Reinforcement Learning		Internal Logical Induction for Pixel-Symbolic Reinforcement Learning
Research		Reinforcement Learning		Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay	link			Spotify	United Kingdom
Research		Reinforcement Learning		Towards Variance Reduction for Reinforcement Learning of Industrial Decision-Making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach
Research		KDD for Drug Discovery and Development		Dual-view Molecular Pre-training
Research		KDD for Drug Discovery and Development		Shift-Robust Molecular Relational Learning with Causal Substructure
Research		KDD for Drug Discovery and Development		Accelerating Antimicrobial Peptide Discovery with Latent Structure
Research		KDD for Drug Discovery and Development		ExplainableFold: Understanding AlphaFold Prediction with Explainable AI
Research		KDD for Drug Discovery and Development		Automated 3D Pre-Training for Molecular Property Prediction
Research		KDD for Drug Discovery and Development		Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design
Research		Time Series II		WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis
Research		Time Series II		Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
Research		Time Series II		Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
Research		Time Series II		Sparse Binary Transformers for Multivariate Time Series Modeling
Research		Time Series II		Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models
Research		Time Series II		An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series
Research		Misinformation and Disinformation		Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers
Research		Misinformation and Disinformation		Rumor Detection with Diverse Counterfactual Evidence
Research		Misinformation and Disinformation		Adversaries with Limited Information in the Friedkin-Johnsen Model
Research		Misinformation and Disinformation		Shilling Black-Box Review-Based Recommender Systems through Fake Review Generation	link		link		Taiwan
Research		Misinformation and Disinformation		Maximizing Neutrality in News Ordering
Research		Misinformation and Disinformation		DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection
Research		Conversational AI		Improving Conversational Recommendation Systems via Counterfactual Data Simulation	link		link		China
Research		Conversational AI		Improving Search Clarification with Structured Information Extracted from Search Results
Research		Conversational AI		LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation	link		link		Korea
Research		Conversational AI		Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-Turn Conversations
Research		Conversational AI		Learning to Relate to Previous Turns in Conversational Search
Research		Conversational AI		User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback	link		link	Adobe Research	USA
Research		Out-of-Distribution		Domain-Specific Risk Minimization for Domain Generalization
Research		Out-of-Distribution		Causal Inference via Style Transfer for Out-of-Distribution Generalisation
Research		Out-of-Distribution		FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
Research		Out-of-Distribution		Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Research		Out-of-Distribution		A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability
Research		Federated Learning & Distributed Learning II		CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning
Research		Federated Learning & Distributed Learning II		Federated Few-Shot Learning
Research		Federated Learning & Distributed Learning II		FedDefender: Client-Side Attack-Tolerant Federated Learning
Research		Federated Learning & Distributed Learning II		Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
Research		Federated Learning & Distributed Learning II		Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity
Research		Federated Learning & Distributed Learning II		ShapleyFL: Robust Federated Learning Based on Shapley Value
Research		Responsible Recommendation		Hierarchical Invariant Learning for Domain Generalization Recommendation	link		link	Siemens AG
Research		Responsible Recommendation		UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation	link		link	University of California, San Diego	USA
Research		Responsible Recommendation		Debiasing Recommendation by Learning Identifiable Latent Confounders	link		link	ByteDance Research	China
Research		Responsible Recommendation		Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective	link
Research		Responsible Recommendation		Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation	link				China
Research		Responsible Recommendation		Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction	link			Huawei Noah’s Ark Lab	China
Research		KDD for Finance		Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts
Research		KDD for Finance		Financial Default Prediction via Motif-Preserving Graph Neural Network with Curriculum Learning
Research		KDD for Finance		DoubleAdapt: A Meta-Learning Approach to Incremental Learning for Stock Trend Forecasting
Research		KDD for Finance		Towards Reliable Rare Category Analysis on Graphs via Individual Calibration
Research		KDD for Finance		QTIAH-GNN: Quantity and Topology Imbalance-Aware Heterogeneous Graph Neural Network for Bankruptcy Prediction
Research		KDD for Finance		Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning
Research		User Modeling, Web and E-commerce		Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
Research		User Modeling, Web and E-commerce		End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising
Research		User Modeling, Web and E-commerce		Contrastive Learning for User Sequence Representation in Personalized Product Search
Research		User Modeling, Web and E-commerce		Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
Research		User Modeling, Web and E-commerce		Task Relation-aware Continual User Representation Learning
Research		User Modeling, Web and E-commerce		Learning-Based Ad Auction Design with Externalities: The Framework and a Matching-Based Approach
Research		Large Scale Data		Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems
Research		Large Scale Data		Efficient Single-Source SimRank Query by Path Aggregation	link		link		China
Research		Large Scale Data		DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication
Research		Large Scale Data		OPORP: One Permutation + One Random Projection
Research		Large Scale Data		Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest
Research		Large Scale Data		Learning Balanced Tree Indexes for Large-Scale Vector Retrieval
Research		Dynamic and Heterogenous Network		Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
Research		Dynamic and Heterogenous Network		Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks
Research		Dynamic and Heterogenous Network		DyTed: Disentangled Representation Learning for Discrete-Time Dynamic Graph
Research		Dynamic and Heterogenous Network		Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks
Research		Dynamic and Heterogenous Network		Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation
Research		Dynamic and Heterogenous Network		WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window
Research		Patterns and Motifs		EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation
Research		Patterns and Motifs		Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation
Research		Patterns and Motifs		Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns
Research		Patterns and Motifs		Using Motif Transitions for Temporal Graph Generation
Research		Patterns and Motifs		MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches
Research		Patterns and Motifs		Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation
Research		Geometric and Brain Data		3D-Polishing for Triangular Mesh Compression of Point Cloud Data
Research		Geometric and Brain Data		Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation
Research		Geometric and Brain Data		Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks
Research		Geometric and Brain Data		One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data
Research		Geometric and Brain Data		MBrain: A Multi-Channel Self-Supervised Learning Framework for Brain Signals
Research		Robust ML I		PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text
Research		Robust ML I		Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks
Research		Robust ML I		Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space
Research		Robust ML I		Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph Models
Research		Robust ML I		Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware
Research		Robust ML I		A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Research		KDD for Healthcare		Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
Research		KDD for Healthcare		TWIN: Personalized Clinical Trial Digital Twin Generation
Research		KDD for Healthcare		R-Mixup: Riemannian Mixup for Biological Networks
Research		KDD for Healthcare		Web-Based Long-Term Spine Treatment Outcome Forecasting
Research		KDD for Healthcare		FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis
Research		Urban Data I		Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Research		Urban Data I		Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction
Research		Urban Data I		TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer
Research		Urban Data I		Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Research		Urban Data I		Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning
Research		Urban Data I		Spatial Heterophily Aware Graph Neural Networks
Research		Multi-Task and Transfer Learning		MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning
Research		Multi-Task and Transfer Learning		Leveraging Relational Graph Neural Network for Transductive Model Ensemble
Research		Multi-Task and Transfer Learning		Automatic Temporal Relation in Multi-Task Learning
Research		Multi-Task and Transfer Learning		When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Research		Multi-Task and Transfer Learning		Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
Research		Dynamic Process		Graph Neural Processes for Spatio-Temporal Extrapolation
Research		Dynamic Process		Reconstructing Graph Diffusion History from a Single Snapshot
Research		Dynamic Process		Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations
Research		Dynamic Process		Learning to Schedule in Diffusion Probabilistic Models
Research		Dynamic Process		Generalizing Graph ODE for Learning Complex System Dynamics across Environments
Research		Dynamic Process		Deep Bayesian Active Learning for Accelerating Stochastic Simulation
Research		Privacy	Best Student Paper	Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Research		Privacy		Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting
Research		Privacy		Unbiased Locally Private Estimator for Polynomials of Laplacian Variables
Research		Privacy		Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation	link		link	Tencent AI Lab	China
Research		Privacy		FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation
Research		Graph Contrastive Learning		B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning
Research		Graph Contrastive Learning		Similarity Preserving Adversarial Graph Contrastive Learning
Research		Graph Contrastive Learning		HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Research		Graph Contrastive Learning		Contrastive Cross-scale Graph Knowledge Synergy
Research		Graph Contrastive Learning		Graph Contrastive Learning with Generative Adversarial Network
Research		Graph Contrastive Learning		BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
Research		Robust ML II		How does the Memorization of Neural Networks Impact Adversarial Robust Models?
Research		Robust ML II		Enhance Diffusion to Improve Robust Generalization
Research		Robust ML II		Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
Research		Robust ML II		Doubly Robust AUC Optimization against Noisy and Adversarial Samples
Research		Robust ML II		Robust Positive-Unlabeled Learning via Noise Negative Sample Self-Correction
Research		Robust ML II		Self-Adaptive Perturbation Radii for Adversarial Training
Research		KDD for Science and Education		Learning Behavior-Oriented Knowledge Tracing
Research		KDD for Science and Education		IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Research		KDD for Science and Education		GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing
Research		KDD for Science and Education		Semi-Supervised Graph Imbalanced Regression
Research		KDD for Science and Education		Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Research		KDD for Science and Education		Meta Multi-Agent Exercise Recommendation: A Game Application Perspective	link		link		China
Research		Urban Data II		LightPath: Lightweight and Scalable Path Representation Learning
Research		Urban Data II		Urban Region Representation Learning with OpenStreetMap Building Footprints
Research		Urban Data II		Multi-Temporal Relationship Inference in Urban Areas
Research		Urban Data II		A Study of Situational Reasoning for Traffic Understanding
Research		Urban Data II		Frigate: Frugal Spatio-temporal Forecasting on Road Networks