Yu, Han

100 publications

NeurIPS 2025 A Reinforcement Learning-Based Bidding Strategy for Data Consumers in Auction-Based Federated Learning Xiaoli Tang, Han Yu, Xiaoxiao Li
TMLR 2025 Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang, Han Yu, Peikun Guo, Khadija Zanna, Xiaoxue Yang, Akane Sano
ICLR 2025 Can Textual Gradient Work in Federated Learning? Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li
NeurIPS 2025 Class-Wise Balancing Data Replay for Federated Class-Incremental Learning Zhuang Qi, Ying-Peng Tang, Lei Meng, Han Yu, Xiaoxiao Li, Xiangxu Meng
ICML 2025 Commute Graph Neural Networks Wei Zhuo, Han Yu, Guang Tan, Xiaoxiao Li
CHIL 2025 Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys Zeyu Yang, Han Yu, Akane Sano
NeurIPS 2025 CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning Yifei Zhang, Hao Zhu, Junhao Dong, Haoran Shi, Ziqiao Meng, Piotr Koniusz, Han Yu
ICML 2025 Efficient Heterogeneity-Aware Federated Active Data Selection Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu
AAAI 2025 Federated Causally Invariant Feature Learning Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li
IJCAI 2025 Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi, Sijin Zhou, Lei Meng, Han Hu, Han Yu, Xiangxu Meng
ICCV 2025 Federated Representation Angle Learning Liping Yi, Han Yu, Gang Wang, Xiaoguang Liu, Xiaoxiao Li
NeurIPS 2025 Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning Zhuang Qi, Yu Pan, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng
AAAI 2025 IMQC: A Large Language Model Platform for Medical Quality Control Qi Ye, Guangya Yu, Jingping Liu, Erzhen Chen, Chenjie Dong, Xiaosheng Lin, Zelei Liu, Han Yu, Tong Ruan
ICLR 2025 In Vivo Cell-Type and Brain Region Classification via Multimodal Contrastive Learning Han Yu, Hanrui Lyu, YiXun Xu, Charlie Windolf, Eric Kenji Lee, Fan Yang, Andrew M Shelton, Olivier Winter, International Brain Laboratory, Eva L Dyer, Chandramouli Chandrasekaran, Nicholas A. Steinmetz, Liam Paninski, Cole Lincoln Hurwitz
MLHC 2025 LEAVES: Learning Views for Time-Series Biobehavioral Data in Contrastive Learning Han Yu, Huiyuan Yang, Akane Sano
ICML 2025 Multi-Session Budget Optimization for Forward Auction-Based Federated Learning Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
ICCV 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction Han Yu, Kehan Li, Dongbai Li, Yue He, Xingxuan Zhang, Peng Cui
ICCV 2025 Personalized Federated Learning Under Local Supervision Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, Han Yu
NeurIPS 2025 Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Wei Zhuo, Zhaohuan Zhan, Han Yu
AAAI 2025 Reputation-Aware Revenue Allocation for Auction-Based Federated Learning Xiaoli Tang, Han Yu
NeurIPS 2025 Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario Under Weaker Assumptions Weixin An, Yuanyuan Liu, Fanhua Shang, Han Yu, Junkang Liu, Hongying Liu
ICLR 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui
ICML 2025 Voronoi-Grid-Based Pareto Front Learning and Its Application to Collaborative Federated Learning Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
AAAI 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li
CVPR 2025 pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation Yifei Zhang, Hao Zhu, Alysa Ziying Tan, Dianzhi Yu, Longtao Huang, Han Yu
IJCAI 2024 A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
TMLR 2024 AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis Han Yu, Peikun Guo, Akane Sano
ICML 2024 Domain-Wise Data Acquisition to Improve Performance Under Distribution Shift Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui
IJCAI 2024 Dual Calibration-Based Personalised Federated Learning Xiaoli Tang, Han Yu, Run Tang, Chao Ren, Anran Li, Xiaoxiao Li
TMLR 2024 ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text Han Yu, Peikun Guo, Akane Sano
CPAL 2024 FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie
ICML 2024 FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler Hongyi Peng, Han Yu, Xiaoli Tang, Xiaoxiao Li
AAAI 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao
IJCAI 2024 FedSSA: Semantic Similarity-Based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi, Han Yu, Zhuan Shi, Gang Wang, Xiaoguang Liu, Lizhen Cui, Xiaoxiao Li
NeurIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li
ICML 2024 Federated Neuro-Symbolic Learning Pengwei Xing, Songtao Lu, Han Yu
NeurIPS 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
AAAI 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu
AAAI 2024 IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung
IJCAI 2024 Intelligent Agents for Auction-Based Federated Learning: A Survey Xiaoli Tang, Han Yu, Xiaoxiao Li, Sarit Kraus
AAAI 2024 LR-XFL: Logical Reasoning-Based Explainable Federated Learning Yanci Zhang, Han Yu
NeurIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, Xi Zhang
AAAI 2024 Multi-Dimensional Fair Federated Learning Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu
CVPR 2024 Rethinking the Evaluation Protocol of Domain Generalization Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
IJCAI 2024 Sample Quality Heterogeneity-Aware Federated Causal Discovery Through Adaptive Variable Space Selection Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li
IJCAI 2024 Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification Kai Chen, Ye Wang, Xin Song, Siwei Chen, Han Yu, Aiping Li
AAAI 2024 Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-Commerce Chang Liu, Peng Hou, Anxiang Zeng, Han Yu
IJCAI 2023 Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-Based Federated Learning Xiaoli Tang, Han Yu
AAAI 2023 Efficient Training of Large-Scale Industrial Fault Diagnostic Models Through Federated Opportunistic Block Dropout Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
IJCAI 2023 FedOBD: Opportunistic Block Dropout for Efficiently Training Large-Scale Neural Networks Through Federated Learning Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu
ICCV 2023 Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
CVPR 2023 Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui
CVPR 2023 NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
NeurIPS 2023 Recurrent Temporal Revision Graph Networks Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou
AAAI 2023 Stable Learning via Sparse Variable Independence Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
AAAI 2022 Automatic Product Copywriting for E-Commerce Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang
AAAI 2022 CrowdFL: A Marketplace for Crowdsourced Federated Learning Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao
AAAI 2022 Dynamic Incentive Mechanism Design for COVID-19 Social Distancing Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao
NeurIPSW 2022 Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang, Han Yu, Akane Sano
AAAI 2022 Intelligent Online Selling Point Extraction for E-Commerce Recommendation Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu
ECCVW 2022 NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui
NeurIPSW 2022 PiRL: Participant-Invariant Representation Learning for Healthcare Zhaoyang Cao, Han Yu, Huiyuan Yang, Akane Sano
AAAI 2022 Prior-Guided Transfer Learning for Enhancing Item Representation in E-Commerce Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao
NeurIPSW 2022 Semi-Supervised Learning and Data Augmentation for Wearable-Based Health Monitoring System in the Wild Han Yu, Akane Sano
IJCAI 2022 Towards Verifiable Federated Learning Yanci Zhang, Han Yu
AAAI 2021 AI-Empowered Decision Support for COVID-19 Social Distancing Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao
FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
AAAI 2021 Enhancing E-Commerce Recommender System Adaptability with Online Deep Controllable Learning-to-Rank Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao
AAAI 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao
CVPR 2021 Noise-Resistant Deep Metric Learning with Ranking-Based Instance Selection Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
IJCAI 2021 Predictive Analytics for COVID-19 Social Distancing Harold Ze Chie Teng, Hongchao Jiang, Xuan Rong Zane Ho, Wei Yang Bryan Lim, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao
IJCAI 2020 A Multi-Player Game for Studying Federated Learning Incentive Schemes Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang
IJCAI 2020 A Testbed for Studying COVID-19 Spreading in Ride-Sharing Systems Harrison Jun Yong Wong, Zichao Deng, Han Yu, Jianqiang Huang, Cyril Leung, Chunyan Miao
AAAI 2020 Accelerating Ranking in E-Commerce Search Engines Through Contextual Factor Selection Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao
IJCAI 2020 An AI-Empowered Visual Storyline Generator Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
AAAI 2020 Efficient Spatial-Temporal Rebalancing of Shareable Bikes (Student Abstract) Zichao Deng, Anqi Tu, Zelei Liu, Han Yu
AAAI 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang
AAAI 2020 Generating Engaging Promotional Videos for E-Commerce Platforms (Student Abstract) Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao
AAAI 2020 PIDS: An Intelligent Electric Power Management Platform Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao
IJCAI 2019 Agent-Based Decision Support for Pain Management in Primary Care Settings Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen
IJCAI 2019 An Online Intelligent Visual Interaction System Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao
AAAI 2019 Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang
IJCAI 2019 Fair and Explainable Dynamic Engagement of Crowd Workers Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng
IJCAI 2019 Intelligent Decision Support for Improving Power Management Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao
IJCAI 2019 Multi-Agent Visualization for Explaining Federated Learning Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang
IJCAI 2018 Building Ethics into Artificial Intelligence Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang
AAAI 2018 SmartHS: An AI Platform for Improving Government Service Provision Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang
AAAI 2017 A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung
AAAI 2017 Crowdsensing Air Quality with Camera-Enabled Mobile Devices Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung
CVPR 2017 Surveillance Video Parsing with Single Frame Supervision Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, Yao Sun
AAAI 2016 A Fraud Resilient Medical Insurance Claim System Yuliang Shi, Chenfei Sun, Qingzhong Li, Lizhen Cui, Han Yu, Chunyan Miao
AAAI 2016 Efficient Collaborative Crowdsourcing Zhengxiang Pan, Han Yu, Chunyan Miao, Cyril Leung
AAAI 2016 Infusing Human Factors into Algorithmic Crowdsourcing Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang
AAAI 2016 Multi-Agent System Development MADE Easy Zhiqi Shen, Han Yu, Chunyan Miao, Siyao Li, Yiqiang Chen
AAAI 2016 Productive Aging Through Intelligent Personalized Crowdsourcing Han Yu, Chunyan Miao, Siyuan Liu, Zhengxiang Pan, Nur Syahidah Bte Khalid, Zhiqi Shen, Cyril Leung
AAAI 2015 Efficient Task Sub-Delegation for Crowdsourcing Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang
AAAI 2014 RepRev: Mitigating the Negative Effects of Misreported Ratings Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao
AAAI 2014 Reputation-Aware Continuous Double Auction Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao
IJCAI 2013 A Reputation Management Approach for Resource Constrained Trustee Agents Han Yu, Chunyan Miao, Bo An, Cyril Leung, Victor R. Lesser