Zhang, Jingfeng

40 publications

ICLR 2025 ACE: All-Round Creator and Editor Following Instructions via Diffusion Transformer Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou

IJCAI 2025 Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh

ICML 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

ICLRW 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

AAAI 2025 Fair Text-to-Image Diffusion via Fair Mapping Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

ICCV 2025 ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing Yulin Pan, Xiangteng He, Chaojie Mao, Zhen Han, Zeyinzi Jiang, Jingfeng Zhang, Yu Liu

ICML 2025 Learning Without Isolation: Pathway Protection for Continual Learning Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren

ICML 2025 MP-Nav: Enhancing Data Poisoning Attacks Against Multimodal Learning Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami

ICCV 2025 Make Me Happier: Evoking Emotions Through Image Diffusion Models Qing Lin, Jingfeng Zhang, Yew-Soon Ong, Mengmi Zhang

ICML 2025 One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu

AAAI 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang

NeurIPS 2025 Short-Length Adversarial Training Helps LLMs Defend Long-Length Jailbreak Attacks: Theoretical and Empirical Evidence Shaopeng Fu, Liang Ding, Jingfeng Zhang, Di Wang

ECML-PKDD 2025 Stable Vision Concept Transformers for Medical Diagnosis Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

ICCV 2025 VACE: All-in-One Video Creation and Editing Zeyinzi Jiang, Zhen Han, Chaojie Mao, Jingfeng Zhang, Yulin Pan, Yu Liu

ICLR 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama

ICLR 2024 An LLM Can Fool Itself: A Prompt-Based Adversarial Attack Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli

ICLR 2024 AutoLoRa: An Automated Robust Fine-Tuning Framework Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli

ICML 2024 Balancing Similarity and Complementarity for Federated Learning Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang

ICML 2024 Improving Accuracy-Robustness Trade-Off via Pixel Reweighted Adversarial Training Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu

NeurIPS 2024 Perplexity-Aware Correction for Robust Alignment with Noisy Preferences Keyi Kong, Xilie Xu, Di Wang, Jingfeng Zhang, Mohan Kankanhalli

CVPR 2024 SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang

NeurIPS 2024 Towards Multi-Dimensional Explanation Alignment for Medical Classification Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang

ICLRW 2024 Towards Personalized AI: Early-Stopping Low-Rank Adaptation of Foundation Models Zihao Luo, Di Wang, Yun Sing Koh, Jingfeng Zhang

NeurIPS 2023 Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S Kankanhalli

NeurIPS 2023 Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S Kankanhalli

ICML 2023 GAT: Guided Adversarial Training with Pareto-Optimal Auxiliary Tasks Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon

ICML 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli

NeurIPS 2022 Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama

NeurIPSW 2022 Model and Method: Training-Time Attack for Cooperative Multi-Agent Reinforcement Learning Siyang Wu, Tonghan Wang, Xiaoran Wu, Jingfeng Zhang, Yujing Hu, Changjie Fan, Chongjie Zhang

TMLR 2022 NoiLin: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama

NeurIPSW 2022 Pre-Training Robust Feature Extractor Against Clean-Label Data Poisoning Attacks Ting Zhou, Hanshu Yan, Lei Liu, Jingfeng Zhang, Bo Han

ICLR 2022 Reliable Adversarial Distillation with Unreliable Teachers Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang

NeurIPS 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang

IJCAI 2022 Towards Adversarially Robust Deep Image Denoising Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan

ICML 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-Wise Importance-Based Feature Selection Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Tan, Masashi Sugiyama

ICLR 2021 Geometry-Aware Instance-Reweighted Adversarial Training Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli

ICML 2021 Learning Diverse-Structured Networks for Adversarial Robustness Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

ICML 2021 Maximum Mean Discrepancy Test Is Aware of Adversarial Attacks Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama

ICML 2020 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli

IJCAI 2019 Towards Robust ResNet: A Small Step but a Giant Leap Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli