Zhao, Han

105 publications

TMLR 2026 Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, Han Zhao

ICLR 2026 Spatial Forcing: Implicit Spatial Representation Alignment for Vision-Language-Action Model Fuhao Li, Wenxuan Song, Han Zhao, Jingbo Wang, Pengxiang Ding, Donglin Wang, Long Zeng, Haoang Li

ICLR 2026 Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process Jiayi Chen, Wenxuan Song, Pengxiang Ding, Ziyang Zhou, Han Zhao, Feilong Tang, Donglin Wang, Haoang Li

TMLR 2026 Weakly-Supervised Disentangled Representation Learning via Filter-Based Adaptive Swapping Zhenyu Zong, Qidi Wang, Simon Yu, Hongpeng Cao, Yanbing Mao, Han Zhao, Lui Sha, Huajie Shao

NeurIPS 2025 A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning Yuzheng Hu, Fan Wu, Haotian Ye, David Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

ICLR 2025 Accelerating Neural ODEs: A Variational Formulation-Based Approach Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao, Lui Sha, Huajie Shao

AAAI 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

NeurIPS 2025 Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery Shiji Zhou, Tianbai Yu, Zhi Zhang, Heng Chang, Xiao Zhou, Dong Wu, Han Zhao

NeurIPS 2025 GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection Pingbang Hu, Joseph Melkonian, Weijing Tang, Han Zhao, Jiaqi W. Ma

ICLR 2025 Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng, Sixian Du, Makoto Yamada, Han Zhao

TMLR 2025 Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic Yifei He, Yuzheng Hu, Yong Lin, Tong Zhang, Han Zhao

NeurIPS 2025 MergeBench: A Benchmark for Merging Domain-Specialized LLMs Yifei He, Siqi Zeng, Yuzheng Hu, Rui Yang, Tong Zhang, Han Zhao

UAI 2025 Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization Yuen Chen, Haozhe Si, Guojun Zhang, Han Zhao

ICML 2025 Multiobjective Distribution Matching Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang

ICML 2025 ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang

NeurIPS 2025 SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning Yang Liu, Ming Ma, Xiaomin Yu, Pengxiang Ding, Han Zhao, Mingyang Sun, Siteng Huang, Donglin Wang

NeurIPS 2025 Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi W. Ma

TMLR 2025 Understanding Emergent In-Context Learning from a Kernel Regression Perspective Chi Han, Ziqi Wang, Han Zhao, Heng Ji

NeurIPS 2025 Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits Weixin Chen, Han Zhao

ICLR 2025 VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation Wei Zhao, Pengxiang Ding, Zhang Min, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang

TMLR 2024 A General-Purpose Multi-Modal OOD Detection Framework Viet Quoc Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, WenLing Hsu, Han Zhao, Huajie Shao

ICLRW 2024 Accelerating Neural Differential Equations for Irregularly-Sampled Dynamical Systems Using Variational Formulation Hongjue Zhao, Yuchen Wang, Hairong Qi, Jiajia Li, Lui Sha, Han Zhao, Huajie Shao

ICML 2024 Differentially Private Post-Processing for Fair Regression Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao

AAAI 2024 Dynamic Reactive Spiking Graph Neural Network Han Zhao, Xu Yang, Cheng Deng, Junchi Yan

JMLR 2024 Efficient Modality Selection in Multimodal Learning Yifei He, Runxiang Cheng, Gargi Balasubramaniam, Yao-Hung Hubert Tsai, Han Zhao

TMLR 2024 Enhancing Compositional Generalization via Compositional Feature Alignment Haoxiang Wang, Haozhe Si, Huajie Shao, Han Zhao

ICLR 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

AAAI 2024 Fair and Optimal Prediction via Post-Processing Han Zhao

AISTATS 2024 Fast 1-Wasserstein Distance Approximations Using Greedy Strategies Guillaume Houry, Han Bao, Han Zhao, Makoto Yamada

NeurIPS 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic

JMLR 2024 Gradual Domain Adaptation: Theory and Algorithms Yifei He, Haoxiang Wang, Bo Li, Han Zhao

NeurIPS 2024 Learning Structured Representations with Hyperbolic Embeddings Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao

NeurIPS 2024 LibMOON: A Gradient-Based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

NeurIPS 2024 Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma

NeurIPS 2024 On the Expressive Power of Tree-Structured Probabilistic Circuits Lang Yin, Han Zhao

ICMLW 2024 On the Expressive Power of Tree-Structured Probabilistic Circuits Lang Yin, Han Zhao

ICML 2024 Pairwise Alignment Improves Graph Domain Adaptation Shikun Liu, Deyu Zou, Han Zhao, Pan Li

TMLR 2024 Personalized Federated Learning with Spurious Features: An Adversarial Approach Xiaoyang Wang, Han Zhao, Klara Nahrstedt, Sanmi Koyejo

ECCV 2024 PiTe: Pixel-Temporal Alignment for Large Video-Language Model Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang

ECCV 2024 QUAR-VLA: Vision-Language-Action Model for Quadruped Robots Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang

TMLR 2024 RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

ICML 2024 Robust Multi-Task Learning with Excess Risks Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao

AISTATS 2024 Towards Practical Non-Adversarial Distribution Matching Ziyu Gong, Ben Usman, Han Zhao, David I Inouye

CVPR 2024 Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation Fuli Wan, Han Zhao, Xu Yang, Cheng Deng

JMLR 2023 Adaptation Augmented Model-Based Policy Optimization Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang

ALT 2023 Adaptive Power Method: Eigenvector Estimation from Sampled Data Seiyun Shin, Han Zhao, Ilan Shomorony

TMLR 2023 Costs and Benefits of Fair Regression Han Zhao

NeurIPS 2023 Efficient Learning of Linear Graph Neural Networks via Node Subsampling Seiyun Shin, Ilan Shomorony, Han Zhao

NeurIPSW 2023 FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Arash Nourian, Han Zhao, Bo Li

ICML 2023 Fair and Optimal Classification via Post-Processing Ruicheng Xian, Lang Yin, Han Zhao

NeurIPS 2023 Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky

NeurIPSW 2023 Learning Multiplex Embeddings on Text-Rich Networks with One Text Encoder Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han

ICLR 2023 Learning Structured Representations by Embedding Class Hierarchy Siqi Zeng, Remi Tachet des Combes, Han Zhao

NeurIPS 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao

ICCVW 2023 SC2GAN: Rethinking Entanglement by Self-Correcting Correlated GAN Space Zikun Chen, Han Zhao, Parham Aarabi, Ruowei Jiang

ICML 2023 Structural Re-Weighting Improves Graph Domain Adaptation Shikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao, Qiang Qiu, Pan Li

ECML-PKDD 2023 Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs Costas Mavromatis, Vassilis N. Ioannidis, Shen Wang, Da Zheng, Soji Adeshina, Jun Ma, Han Zhao, Christos Faloutsos, George Karypis

CVPR 2023 Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi

ICML 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao

AISTATS 2022 Online Continual Adaptation with Active Self-Training Shiji Zhou, Han Zhao, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu

AISTATS 2022 Towards Return Parity in Markov Decision Processes Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao

TMLR 2022 Algorithms and Theory for Supervised Gradual Domain Adaptation Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao

ICLR 2022 Conditional Contrastive Learning with Kernel Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov

ICLR 2022 Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations Ruicheng Xian, Heng Ji, Han Zhao

ECCV 2022 Exploring Gradient-Based Multi-Directional Controls in GANs Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi

JMLR 2022 Fundamental Limits and Tradeoffs in Invariant Representation Learning Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar

UAI 2022 Greedy Modality Selection via Approximate Submodular Maximization Runxiang Cheng, Gargi Balasubramaniam, Yifei He, Yao-Hung Hubert Tsai, Han Zhao

JMLR 2022 Inherent Tradeoffs in Learning Fair Representations Han Zhao, Geoffrey J. Gordon

NeurIPSW 2022 Invariant Feature Subspace Recovery for Multi-Class Classification Gargi Balasubramaniam, Haoxiang Wang, Han Zhao

AAAI 2022 Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

ICML 2022 Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao

CVPR 2022 Rethinking Controllable Variational Autoencoders Huajie Shao, Yifei Yang, Haohong Lin, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao

ICML 2022 Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond Haoxiang Wang, Bo Li, Han Zhao

ICML 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang, Han Zhao, Bo Li

IJCAI 2021 Graph Debiased Contrastive Learning with Joint Representation Clustering Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng

ICML 2021 Information Obfuscation of Graph Neural Networks Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov

CVPR 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

ICLR 2021 On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections Peizhao Li, Yifei Wang, Han Zhao, Pengyu Hong, Hongfu Liu

NeurIPS 2021 Quantifying and Improving Transferability in Domain Generalization Guojun Zhang, Han Zhao, Yaoliang Yu, Pascal Poupart

ICLR 2021 Self-Supervised Representation Learning with Relative Predictive Coding Yao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Han Zhao, Louis-Philippe Morency, Ruslan Salakhutdinov

ICML 2021 Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao

ICLR 2020 Conditional Learning of Fair Representations Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon

ICLR 2020 Continual Learning with Adaptive Weights (CLAW) Tameem Adel, Han Zhao, Richard E. Turner

CVPR 2020 Deep Fair Clustering for Visual Learning Peizhao Li, Han Zhao, Hongfu Liu

NeurIPS 2020 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon

NeurIPS 2020 Model-Based Policy Optimization with Unsupervised Model Adaptation Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

NeurIPS 2020 Neural Methods for Point-Wise Dependency Estimation Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov

ICML 2020 On Learning Language-Invariant Representations for Universal Machine Translation Han Zhao, Junjie Hu, Andrej Risteski

NeurIPS 2020 Trade-Offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon

UAI 2019 Efficient Multitask Feature and Relationship Learning Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon

NeurIPS 2019 Inherent Tradeoffs in Learning Fair Representations Han Zhao, Geoff Gordon

NeurIPS 2019 Learning Neural Networks with Adaptive Regularization Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon

ICML 2019 On Learning Invariant Representations for Domain Adaptation Han Zhao, Remi Tachet Des Combes, Kun Zhang, Geoffrey Gordon

IJCAI 2019 On Strategyproof Conference Peer Review Yichong Xu, Han Zhao, Xiaofei Shi, Nihar B. Shah

NeurIPS 2018 Adversarial Multiple Source Domain Adaptation Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, Joao P. Costeira, Geoffrey J. Gordon

UAI 2018 Frank-Wolfe Optimization for Symmetric-NMF Under Simplicial Constraint Han Zhao, Geoffrey J. Gordon

NeurIPS 2017 Linear Time Computation of Moments in Sum-Product Networks Han Zhao, Geoffrey J. Gordon

AAAI 2017 Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption Tameem Adel, Han Zhao, Alexander Wong

NeurIPS 2016 A Unified Approach for Learning the Parameters of Sum-Product Networks Han Zhao, Pascal Poupart, Geoffrey J. Gordon

ICML 2016 Collapsed Variational Inference for Sum-Product Networks Han Zhao, Tameem Adel, Geoff Gordon, Brandon Amos

PGM 2016 Online Algorithms for Sum-Product Networks with Continuous Variables Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart

AISTATS 2016 Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks Abdullah Rashwan, Han Zhao, Pascal Poupart

ICML 2015 On the Relationship Between Sum-Product Networks and Bayesian Networks Han Zhao, Mazen Melibari, Pascal Poupart

IJCAI 2015 Self-Adaptive Hierarchical Sentence Model Han Zhao, Zhengdong Lu, Pascal Poupart

AAAI 2015 SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin Lysy