Zhang, Guojun

27 publications

TMLR 2026 FedLog: Personalized Federated Classification with Less Communication and More Flexibility Haolin Yu, Guojun Zhang, Hongliang Li, Pascal Poupart

TMLR 2025 Foundation Models Meet Federated Learning: A One-Shot Feature-Sharing Method with Privacy and Performance Guarantees Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang

TMLR 2025 MUC: Machine Unlearning for Contrastive Learning with Black-Box Evaluation Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao

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

ICMLW 2024 Alignment Calibration: Machine Unlearning for Contrastive Learning Under Auditing Yihan Wang, Yiwei Lu, Guojun Zhang, Franziska Boenisch, Adam Dziedzic, Yaoliang Yu, Xiao-Shan Gao

TMLR 2024 Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Soufiane Lamghari, Yasser H. Khalil, Xi Chen, Guojun Zhang

AAAI 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart

ICMLW 2024 Combining Pre-Trained LoRA Modules Improves Few-Shot Adaptation of Foundation Models to New Tasks Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen

TMLR 2024 DFML: Decentralized Federated Mutual Learning Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen

JMLR 2024 Label Alignment Regularization for Distribution Shift Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H.S. Torr, Yangchen Pan

ICMLW 2024 Leveraging Generative Foundation Models for Domain Generalization Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang

ICMLW 2024 On the Robustness of Neural Networks Quantization Against Data Poisoning Attacks Yiwei Lu, Yihan Wang, Guojun Zhang, Yaoliang Yu

AISTATS 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks Ahmad Rashid, Serena Hacker, Guojun Zhang, Agustinus Kristiadi, Pascal Poupart

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

IJCAI 2024 TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability Jiezhou He, Xue Zhao, Zhiming Luo, Songzhi Su, Shaozi Li, Guojun Zhang

TMLR 2024 Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

TMLR 2023 $f$-MICL: Understanding and Generalizing InfoNCE-Based Contrastive Learning Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu

TMLR 2023 Private GANs, Revisited Alex Bie, Gautam Kamath, Guojun Zhang

TMLR 2023 Proportional Fairness in Federated Learning Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu

ICCV 2023 Understanding Hessian Alignment for Domain Generalization Sobhan Hemati, Guojun Zhang, Amir Estiri, Xi Chen

ICLR 2022 Domain Adversarial Training: A Game Perspective David Acuna, Marc T Law, Guojun Zhang, Sanja Fidler

JMLR 2022 Optimality and Stability in Non-Convex Smooth Games Guojun Zhang, Pascal Poupart, Yaoliang Yu

NeurIPSW 2022 Private GANs, Revisited Alex Bie, Gautam Kamath, Guojun Zhang

ICML 2021 F-Domain Adversarial Learning: Theory and Algorithms David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler

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

ICLR 2020 Convergence of Gradient Methods on Bilinear Zero-Sum Games Guojun Zhang, Yaoliang Yu

UAI 2019 Comparing EM with GD in Mixture Models of Two Components Guojun Zhang, Pascal Poupart, George Trimponias