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2025

Trustworthy Machine Learning: From Data to ModelsBo Han 0003, Jiangchao Yao, Tongliang Liu, Bo Li, Sanmi Koyejo, Feng Liu. ftsec, 7(2-3):74-246, 2025. [doi]

A Robust Method to Discover Causal or Anticausal RelationYu Yao 0005, Yang Zhou, Bo Han 0003, Mingming Gong, Kun Zhang 0001, Tongliang Liu. iclr 2025: [doi]

Noisy Test-Time Adaptation in Vision-Language ModelsChentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu 0018, Kun Zhang 0001, Bo Han 0003. iclr 2025: [doi]

InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneckHui Fang, Haishuai Wang, Yang Gao 0024, Yonggang Zhang 0003, Jiajun Bu, Bo Han 0003, Hui Lin. inffus, 119:102997, 2025. [doi]

Alignclip: navigating the misalignments for robust vision-language generalizationZhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han 0003, Mingming Gong, Kun Zhang 0001, Tongliang Liu. ml, 114(3):58, March 2025. [doi]

Towards Out-of-Modal Generalization without Instance-level Modal CorrespondenceZhuo Huang, Gang Niu 0001, Bo Han 0003, Masashi Sugiyama, Tongliang Liu. iclr 2025: [doi]

Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution GeneralizationZhuo Huang, Muyang Li, Li Shen 0008, Jun Yu 0001, Chen Gong 0002, Bo Han 0003, Tongliang Liu. ijcv, 133(1):456-474, January 2025. [doi]

Characterizing Submanifold Region for Out-of-Distribution DetectionXuhui Li, Zhen Fang 0001, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han 0003, Haishuai Wang. tkde, 37(1):130-147, January 2025. [doi]

Understanding and Enhancing the Transferability of Jailbreaking AttacksRunqi Lin, Bo Han 0003, Fengwang Li, Tongliang Liu. iclr 2025: [doi]

Estimating Per-Class Statistics for Label Noise LearningWenshui Luo, Shuo Chen 0003, Tongliang Liu, Bo Han 0003, Gang Niu 0001, Masashi Sugiyama, Dacheng Tao, Chen Gong 0002. pami, 47(1):305-322, January 2025. [doi]

A Robust Co-Training Framework to Handle Noisy Labels for Remote Sensing Image SegmentationMitsuyoshi Otsu, Jun Zhou 0001, Bo Han 0003, Arnon Accad, Shirui Pan. tgrs, 63:1-14, 2025. [doi]

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language ModelsXinyu Pang, Ruixin Hong, Zhanke Zhou, Fangrui Lv, Xinwei Yang, Zhilong Liang, Bo Han 0003, Changshui Zhang. COLING 2025: 11274-11289 [doi]

Unknown-Aware Bilateral Dependency Optimization for Defending Against Model Inversion AttacksXiong Peng, Feng Liu 0003, Nannan Wang 0001, Long Lan, Tongliang Liu, Yiu-ming Cheung, Bo Han 0003. pami, 47(8):6382-6395, August 2025. [doi]

Federated Generalized Novel Category Discovery with Prompts TuningLei Shen, Nan Pu, Zhun Zhong, Mingming Gong, Dianhai Yu, Chengqi Zhang, Bo Han 0003. tmlr, 2025, 2025. [doi]

Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic SelectionLei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang 0003, Xiaowen Chu 0001, Tao Qin, Bo Han 0003. iclr 2025: [doi]

Federated Noisy Client LearningKahou Tam, Li Li 0064, Bo Han 0003, Cheng-Zhong Xu 0001, Huazhu Fu. tnn, 36(1):1799-1812, January 2025. [doi]

Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go BeyondQizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han 0003, Kilian Q. Weinberger. iclr 2025: [doi]

W-DOE: Wasserstein Distribution-Agnostic Outlier ExposureQizhou Wang, Bo Han 0003, Yang Liu 0007, Chen Gong 0002, Tongliang Liu, Jiming Liu 0001. pami, 47(5):3530-3545, May 2025. [doi]

Towards Effective Evaluations and Comparisons for LLM Unlearning MethodsQizhou Wang, Bo Han 0003, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama. iclr 2025: [doi]

Robust Learning under Hybrid NoiseYang Wei, Shuo Chen 0003, Shanshan Ye, Bo Han 0003, Chen Gong 0002. tist, 16(2), April 2025. [doi]

Trustworthy AI under Imperfect Web DataJiangchao Yao, Feng Liu, Bo Han 0003. WWW 2025: 65-68 [doi]

Instance-dependent Early StoppingSuqin Yuan, Runqi Lin, Lei Feng 0006, Bo Han 0003, Tongliang Liu. iclr 2025: [doi]

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and GenerationYikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han 0003, Long-Kai Huang, Jianhua Yao 0001, Wei Liu 0005, Yu Rong 0001. iclr 2025: [doi]

Fast and Accurate Blind Flexible DockingZizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han 0003. iclr 2025: [doi]

Provable Discriminative Hyperspherical Embedding for Out-of-Distribution DetectionZhipeng Zou, Sheng Wan, Guangyu Li, Bo Han 0003, Tongliang Liu, Lin Zhao 0003, Chen Gong 0002. AAAI 2025: 13483-13491 [doi]

2024

On the Learnability of Out-of-distribution DetectionZhen Fang 0001, Yixuan Li, Feng Liu 0003, Bo Han 0003, Jie Lu 0001. jmlr, 25, 2024. [doi]

How Interpretable Are Interpretable Graph Neural Networks?Yongqiang Chen 0002, Yatao Bian, Bo Han 0003, James Cheng. icml 2024: [doi]

Trustworthy Machine Learning under Imperfect DataBo Han 0003. IJCAI 2024: 8535-8540 [doi]

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution DetectionChentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu 0018, Tongliang Liu, Bo Han 0003. icml 2024: [doi]

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?Haoang Chi, He Li, Wenjing Yang 0002, Feng Liu 0003, Long Lan, Xiaoguang Ren, Tongliang Liu, Bo Han 0003. nips 2024: [doi]

Does Confusion Really Hurt Novel Class Discovery?Haoang Chi, Wenjing Yang 0002, Feng Liu 0003, Long Lan, Tao Qin, Bo Han 0003. ijcv, 132(8):3191-3207, August 2024. [doi]

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-BoostingRong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han 0003. iclr 2024: [doi]

Negative Label Guided OOD Detection with Pretrained Vision-Language ModelsXue Jiang, Feng Liu 0003, Zhen Fang 0001, Hong Chen 0004, Tongliang Liu, Feng Zheng, Bo Han 0003. iclr 2024: [doi]

Efficient private SCO for heavy-tailed data via averaged clippingChenhan Jin, Kaiwen Zhou, Bo Han 0003, James Cheng, Tieyong Zeng. ml, 113(11):8487-8532, December 2024. [doi]

Towards Realistic Model Selection for Semi-supervised LearningMuyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu 0001, Bo Han 0003, Tongliang Liu. icml 2024: [doi]

Class-Wise Contrastive Prototype Learning for Semi-Supervised Classification Under Intersectional Class MismatchMingyu Li, Tao Zhou 0002, Bo Han 0003, Tongliang Liu, Xinkai Liang, Jiajia Zhao, Chen Gong 0002. tmm, 26:8145-8156, 2024. [doi]

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication ChannelXuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han 0003. iclr 2024: [doi]

On the Over-Memorization During Natural, Robust and Catastrophic OverfittingRunqi Lin, Chaojian Yu, Bo Han 0003, Tongliang Liu. iclr 2024: [doi]

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut DependencyRunqi Lin, Chaojian Yu, Bo Han 0003, Hang Su 0006, Tongliang Liu. icml 2024: [doi]

MCM: Multi-condition Motion Synthesis FrameworkZeyu Ling, Bo Han 0003, Yongkang Wong, Han Lin, Mohan S. Kankanhalli, Weidong Geng. IJCAI 2024: 1083-1091 [doi]

Revive Re-weighting in Imbalanced Learning by Density Ratio EstimationJiaan Luo, Feng Hong 0004, Jiangchao Yao, Bo Han 0003, Ya Zhang 0002, Yanfeng Wang 0001. nips 2024: [doi]

Server-Client Collaborative Distillation for Federated Reinforcement LearningWeiming Mai, Jiangchao Yao, Chen Gong 0002, Ya Zhang 0002, Yiu-ming Cheung, Bo Han 0003. tkdd, 18(1), January 2024. [doi]

Out-of-Distribution Detection with Negative PromptsJun Nie, Yonggang Zhang, Zhen Fang 0001, Tongliang Liu, Bo Han 0003, Xinmei Tian 0001. iclr 2024: [doi]

Pseudo-Private Data Guided Model Inversion AttacksXiong Peng, Bo Han 0003, Feng Liu 0003, Tongliang Liu, Mingyuan Zhou. nips 2024: [doi]

Online binary classification from similar and dissimilar dataSenlin Shu, Haobo Wang, Zhuowei Wang 0003, Bo Han 0003, Tao Xiang 0001, Bo An 0001, Lei Feng 0006. ml, 113(6):3463-3484, June 2024. [doi]

FedImpro: Measuring and Improving Client Update in Federated LearningZhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian 0001, Tongliang Liu, Bo Han 0003, Xiaowen Chu 0001. iclr 2024: [doi]

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model FusionZhenheng Tang, Yonggang Zhang 0003, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han 0003, Xiaowen Chu 0001. nips 2024: [doi]

Mind the Gap Between Prototypes and Images in Cross-domain FinetuningHongduan Tian, Feng Liu 0003, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han 0003. nips 2024: [doi]

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel DependenceHongduan Tian, Feng Liu 0003, Tongliang Liu, Bo Du 0001, Yiu-ming Cheung, Bo Han 0003. icml 2024: [doi]

A Sober Look at the Robustness of CLIPs to Spurious FeaturesQizhou Wang, Yong Lin, Yongqiang Chen 0002, Ludwig Schmidt, Bo Han 0003, Tong Zhang 0001. nips 2024: [doi]

Tackling Noisy Labels With Network Parameter Additive DecompositionJingyi Wang, Xiaobo Xia, Long Lan, Xinghao Wu, Jun Yu 0001, Wenjing Yang 0002, Bo Han 0003, Tongliang Liu. pami, 46(9):6341-6354, September 2024. [doi]

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled LearningYuhao Wu, Jiangchao Yao, Bo Han 0003, Lina Yao 0001, Tongliang Liu. icml 2024: [doi]

A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy LabelsSonghua Wu, Tianyi Zhou 0001, Yuxuan Du, Jun Yu 0001, Bo Han 0003, Tongliang Liu. pami, 46(7):4830-4842, 2024. [doi]

Accurate Forgetting for Heterogeneous Federated Continual LearningAbudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han 0003, Gang Niu 0001, Lei Fang, Changshui Zhang, Masashi Sugiyama. iclr 2024: [doi]

Regularly Truncated M-Estimators for Learning With Noisy LabelsXiaobo Xia, Pengqian Lu, Chen Gong 0002, Bo Han 0003, Jun Yu 0001, Jun Yu 0002, Tongliang Liu. pami, 46(5):3522-3536, May 2024. [doi]

Enhancing Neural Subset Selection: Integrating Background Information into Set RepresentationsBinghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen 0002, Peilin Zhao, Bo Han 0003, Wei Meng 0001, James Cheng. iclr 2024: [doi]

Balancing Similarity and Complementarity for Federated LearningKunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han 0003, Gang Niu 0001, Masashi Sugiyama, Changshui Zhang. icml 2024: [doi]

Searching to Exploit Memorization Effect in Deep Learning With Noisy LabelsHansi Yang, Quanming Yao, Bo Han 0003, James T. Kwok. pami, 46(12):7833-7849, December 2024. [doi]

Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic SegmentationWankou Yang, Jiren Mai, Fei Zhang, Tongliang Liu, Bo Han 0003. tmlr, 2024, 2024. [doi]

Understanding Fairness Surrogate Functions in Algorithmic FairnessWei Yao, Zhanke Zhou, Zhicong Li, Bo Han 0003, Yong Liu. tmlr, 2024, 2024. [doi]

Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution DetectionGeng Yu, Jianing Zhu, Jiangchao Yao, Bo Han 0003. nips 2024: [doi]

USN: A Robust Imitation Learning Method against Diverse Action NoiseXingrui Yu, Bo Han 0003, Ivor W. Tsang. jair, 79:1237-1280, 2024. [doi]

Exploiting counter-examples for active learning with partial labelsFei Zhang, Yunjie Ye, Lei Feng 0006, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han 0003. ml, 113(6):3849-3868, June 2024. [doi]

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise LearningJingfeng Zhang, Bo Song, Haohan Wang, Bo Han 0003, Tongliang Liu, Lei Liu 0003, Masashi Sugiyama. pami, 46(6):4398-4409, June 2024. [doi]

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean DiscrepancyShuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li 0001, Bo Han 0003, Mingkui Tan. iclr 2024: [doi]

Robust Training of Federated Models with Extremely Label DeficiencyYonggang Zhang, Zhiqin Yang, Xinmei Tian 0001, Nannan Wang 0001, Tongliang Liu, Bo Han 0003. iclr 2024: [doi]

What If the Input is Expanded in OOD Detection?Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du 0001, Bo Han 0003. nips 2024: [doi]

Mitigating Noisy Correspondence by Geometrical Structure Consistency LearningZihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo Han 0003, Ya Zhang, Yanfeng Wang. cvpr 2024: 27371-27380 [doi]

NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear InterpolationPengfei Zheng, Yonggang Zhang, Zhen Fang 0001, Tongliang Liu, Defu Lian, Bo Han 0003. iclr 2024: [doi]

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data AugmentationJiyang Zheng, Yu Yao, Bo Han 0003, Dadong Wang, Tongliang Liu. iclr 2024: [doi]

HiFE: Hierarchical Feature Ensemble Framework for Few-shot Hypotheses AdaptationYongfeng Zhong, Haoang Chi, Feng Liu 0003, Xiao-Ming Wu, Bo Han 0003. tmlr, 2024, 2024. [doi]

Few-Shot Adversarial Prompt Learning on Vision-Language ModelsYiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han 0003, Tongliang Liu. nips 2024: [doi]

Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge GraphsZhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han 0003. iclr 2024: [doi]

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han 0003. nips 2024: [doi]

2023

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution GeneralizationYongqiang Chen 0002, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma 0001, Han Yang 0002, Peilin Zhao, Bo Han 0003, James Cheng. iclr 2023: [doi]

Class-Wise Denoising for Robust Learning Under Label NoiseChen Gong 0002, Yongliang Ding, Bo Han 0003, Gang Niu 0001, Jian Yang 0003, Jane You, Dacheng Tao, Masashi Sugiyama. pami, 45(3):2835-2848, March 2023. [doi]

A Parametrical Model for Instance-Dependent Label NoiseShuo Yang 0006, Songhua Wu, Erkun Yang, Bo Han 0003, Yang Liu 0018, Min Xu 0001, Gang Niu 0001, Tongliang Liu. pami, 45(12):14055-14068, December 2023. [doi]

Moderately Distributional Exploration for Domain GeneralizationRui Dai, Yonggang Zhang, Zhen Fang, Bo Han 0003, Xinmei Tian 0001. icml 2023: 6786-6817 [doi]

Diversity-enhancing Generative Network for Few-shot Hypothesis AdaptationRuijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu 0001, Masashi Sugiyama, Bo Han 0003. icml 2023: 8260-8275 [doi]

Noise-robust Graph Learning by Estimating and Leveraging Pairwise InteractionsXuefeng Du, Tian Bian, Yu Rong, Bo Han 0003, Tongliang Liu, Tingyang Xu, Wenbing Huang 0001, Yixuan Li 0001, JunZhou Huang. tmlr, 2023, 2023. [doi]

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic DimensionXin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka-Chun Cheung, Simon See, Bo Han 0003, Xiaowen Chu. AAAI 2023: 7839-7847 [doi]

GRACE: A General Graph Convolution Framework for Attributed Graph ClusteringBarakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma 0001, James Cheng, Bo Li 0001, Bo Han 0003. tkdd, 17(3), April 2023. [doi]

Hard Sample Matters a Lot in Zero-Shot QuantizationHuantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han 0003, Mingkui Tan. cvpr 2023: 24417-24426 [doi]

InstanT: Semi-supervised Learning with Instance-dependent ThresholdsMuyang Li, Runze Wu, Haoyu Liu, Jun Yu, Xun Yang, Bo Han 0003, Tongliang Liu. nips 2023: [doi]

A Holistic View of Label Noise Transition Matrix in Deep Learning and BeyondYong Lin, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han 0003. iclr 2023: [doi]

Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase HypothesisKe Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han 0003. iccv 2023: 5451-5460 [doi]

Out-of-distribution Detection with Implicit Outlier TransformationQizhou Wang, Junjie Ye, Feng Liu 0003, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han 0003. iclr 2023: [doi]

SODA: Robust Training of Test-Time Data AdaptorsZige Wang, Yonggang Zhang, Zhen Fang, Long Lan, Wenjing Yang 0002, Bo Han 0003. nips 2023: [doi]

Deep Learning From Multiple Noisy Annotators as A UnionHongxin Wei, Renchunzi Xie, Lei Feng 0006, Bo Han 0003, Bo An 0001. tnn, 34(12):10552-10562, December 2023. [doi]

Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep LearningXiaobo Xia, Jiale Liu, Jun Yu 0001, Xu Shen, Bo Han 0003, Tongliang Liu. iclr 2023: [doi]

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy ExamplesXiaobo Xia, Bo Han 0003, Yibing Zhan, Jun Yu 0001, Mingming Gong, Chen Gong 0002, Tongliang Liu. iccv 2023: 1833-1843 [doi]

FedFed: Feature Distillation against Data Heterogeneity in Federated LearningZhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian 0001, Hao Peng, Tongliang Liu, Bo Han 0003. nips 2023: [doi]

Latent Class-Conditional Noise ModelJiangchao Yao, Bo Han 0003, Zhihan Zhou 0002, Ya Zhang 0002, Ivor W. Tsang. pami, 45(8):9964-9980, August 2023. [doi]

AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph ReasoningYongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu 0001, Bo Han 0003. kdd 2023: 3446-3457 [doi]

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation ScoreShuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han 0003, Mingkui Tan. icml 2023: 41429-41451 [doi]

Out-of-distribution Detection Learning with Unreliable Out-of-distribution SourcesHaotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han 0003. nips 2023: [doi]

KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic SegmentationChenhong Zhou, Feng Liu 0003, Chen Gong 0002, Rongfei Zeng, Tongliang Liu, Kwok-Wai Cheung 0001, Bo Han 0003. tmlr, 2023, 2023. [doi]

Combating Bilateral Edge Noise for Robust Link PredictionZhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng 0007, Bo Han 0003. nips 2023: [doi]

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection CapabilityJianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han 0003. icml 2023: 43068-43104 [doi]

Combating Exacerbated Heterogeneity for Robust Models in Federated LearningJianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han 0003. iclr 2023: [doi]

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