Guan, Haibing

16 publications

NeurIPS 2025 $\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Xijun Li, Jiexiang Yang, Jinghao Wang, Bo Peng, Jianguo Yao, Haibing Guan

AISTATS 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-Based Supervised Causal Learning Jiaru Zhang, Rui Ding, Qiang Fu, Huang Bojun, Zizhen Deng, Yang Hua, Haibing Guan, Shi Han, Dongmei Zhang

ICCV 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-Wise Gradient Alignment Qingqian Yang, Peishen Yan, Xiaoyu Wu, Jiaru Zhang, Tao Song, Yang Hua, Hao Wang, Liangliang Wang, Haibing Guan

CVPR 2024 CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion Xiaoyu Wu, Yang Hua, Chumeng Liang, Jiaru Zhang, Hao Wang, Tao Song, Haibing Guan

ECCV 2024 SkyMask: Attack-Agnostic Robust Federated Learning with Fine-Grained Learnable Masks Peishen Yan, Hao Wang, Tao Song, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan

ICML 2023 Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

NeurIPS 2023 Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

AAAI 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

ICCV 2023 GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan

AAAI 2022 Improving Bayesian Neural Networks by Adversarial Sampling Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

CVPR 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan

ICCV 2021 Self-Supervised Vessel Segmentation via Adversarial Learning Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan

IJCAI 2021 Themis: A Fair Evaluation Platform for Computer Vision Competitions Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan

ECCV 2020 Dual Adversarial Network for Deep Active Learning Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng

ECCV 2020 FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Shenggan Cheng, James Lin

AAAI 2020 Reinforcing Neural Network Stability with Attractor Dynamics Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan