Han Yu

TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems AAAI 2026 Generating Risky Samples with Conformity Constraints via Diffusion Models AAAI 2026 Error Slice Discovery via Manifold Compactness AAAI 2026 Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026 Federated Learning Playground AAAI 2026 Federated Causally Invariant Feature Learning AAAI 2025 Reputation-aware Revenue Allocation for Auction-based Federated Learning AAAI 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025 IMQC: A Large Language Model Platform for Medical Quality Control AAAI 2025 Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization IJCAI 2025 pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation CVPR 2025 Commute Graph Neural Networks ICML 2025 Multi-Session Budget Optimization for Forward Auction-based Federated Learning ICML 2025 Efficient Heterogeneity-Aware Federated Active Data Selection ICML 2025 Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning ICML 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study ICLR 2025 Can Textual Gradient Work in Federated Learning? ICLR 2025 In vivo cell-type and brain region classification via multimodal contrastive learning ICLR 2025 Personalized Federated Learning under Local Supervision ICCV 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 Federated Representation Angle Learning ICCV 2025 LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning MLHC 2025 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning NIPS 2024 Multi-Dimensional Fair Federated Learning AAAI 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024 LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024 Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce AAAI 2024 IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024 A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation ACL 2024 Rethinking the Evaluation Protocol of Domain Generalization CVPR 2024 Domain-wise Data Acquisition to Improve Performance under Distribution Shift ICML 2024 FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler ICML 2024 Federated Neuro-Symbolic Learning ICML 2024 Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification IJCAI 2024 Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 2024 Dual Calibration-based Personalised Federated Learning IJCAI 2024 A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning IJCAI 2024 Intelligent Agents for Auction-based Federated Learning: A Survey IJCAI 2024 A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis MICCAI 2024 Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection EMNLP 2023 Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization CVPR 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 Recurrent Temporal Revision Graph Networks NIPS 2023 Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning IJCAI 2023 FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning IJCAI 2023 Flatness-Aware Minimization for Domain Generalization ICCV 2023 Stable Learning via Sparse Variable Independence AAAI 2023 Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout AAAI 2023 Dynamic Incentive Mechanism Design for COVID-19 Social Distancing AAAI 2022 CrowdFL: A Marketplace for Crowdsourced Federated Learning AAAI 2022 Automatic Product Copywriting for E-commerce AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce AAAI 2022 Intelligent Online Selling Point Extraction for E-commerce Recommendation AAAI 2022 Towards Verifiable Federated Learning IJCAI 2022 Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation EMNLP 2022 AI-Empowered Decision Support for COVID-19 Social Distancing AAAI 2021 Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021 Predictive Analytics for COVID-19 Social Distancing IJCAI 2021 Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection NAACL 2021 Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection CVPR 2021 A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020 A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems IJCAI 2020 Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract) AAAI 2020 Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract) AAAI 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020 PIDS: An Intelligent Electric Power Management Platform AAAI 2020 Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection AAAI 2020 An AI-empowered Visual Storyline Generator IJCAI 2020 An Online Intelligent Visual Interaction System IJCAI 2019 Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes AAAI 2019 Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019 Agent-based Decision Support for Pain Management in Primary Care Settings IJCAI 2019 Fair and Explainable Dynamic Engagement of Crowd Workers IJCAI 2019 Intelligent Decision Support for Improving Power Management IJCAI 2019 Building Ethics into Artificial Intelligence IJCAI 2018 Surveillance Video Parsing With Single Frame Supervision CVPR 2017 A Reputation Management Approach for Resource Constrained Trustee Agents IJCAI 2013