← Authors

Han Yu

83 papers · 2013–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (13) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (27) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam 🀝 Dynamic Duo (19) πŸ”¬ Deep Specialist (24) πŸ† Keyword Champion (8) πŸš€ Conference Pioneer ⚑ Prolific Year (21) πŸ—ƒοΈ Keyword Collector (341) πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club (78) πŸ”₯ Unstoppable (9)

Conferences

AAAI (32) IJCAI (21) ICML (7) CVPR (6) ICCV (4) NIPS (4) ICLR (3) EMNLP (2) ACL (1) MICCAI (1) MLHC (1) NAACL (1)

Top co-authors

Chunyan Miao (19) Xiaoxiao Li (14) Xiaoli Tang (11) Peng Cui (10) Xingxuan Zhang (9) Lizhen Cui (8) Qiang Yang (7) Yue He (7) Renzhe Xu (7) Anxiang Zeng (7)

Research topics

Computer Vision (1) Differential Privacy (1)

Keywords

federated learning (22) privacy preservation (8) multi-agent system (6) communication efficiency (4) incentive mechanism (4) causal inference (4) representation learning (4) auction-based federated learning (4) domain generalization (4) model compression (3) distribution shift (3) recommender system (3) transfer learning (3) model aggregation (3) domain adaptation (3) explainable ai (2) knowledge transfer (2) combinatorial optimization (2) knowledge distillation (2) game theory (2)

Papers

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