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2020 – today
- 2024
[j13]Ting Zhou
, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang:
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. Neural Networks 169: 756-763 (2024)- [j12]Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama:
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4398-4409 (2024) - [j11]Jun Yan, Huilin Yin, Ziming Zhao, Wancheng Ge, Jingfeng Zhang:
Enhance Adversarial Robustness via Geodesic Distance. IEEE Trans. Artif. Intell. 5(8): 4202-4216 (2024) - [j10]Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia:
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. IEEE J. Biomed. Health Informatics 28(10): 6117-6129 (2024) - [j9]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14878-14888 (2024) - [c30]Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang:
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing. CVPR 2024: 8995-9004 - [c29]Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama:
Accurate Forgetting for Heterogeneous Federated Continual Learning. ICLR 2024 - [c28]Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli:
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR 2024 - [c27]Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli:
AutoLoRa: An Automated Robust Fine-Tuning Framework. ICLR 2024 - [c26]Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Jingqi Huang, Chuangguang Huang, Jingfeng Zhang, Jianjun Zheng, Heng Meng, Jiang Liu:
3D Nodule Content-Based Metric Learning for Evidence-Based Lung Cancer Screening. ICME 2024: 1-7 - [c25]Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang:
Balancing Similarity and Complementarity for Federated Learning. ICML 2024 - [c24]Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu:
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. ICML 2024 - [c23]Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang:
ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning. IJCNN 2024: 1-8 - [i43]Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang:
Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models. CoRR abs/2402.11989 (2024) - [i42]Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang:
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR abs/2403.08255 (2024) - [i41]Yulin Pan, Chaojie Mao, Zeyinzi Jiang, Zhen Han, Jingfeng Zhang:
Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance. CoRR abs/2403.19534 (2024) - [i40]Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang:
StyleBooth: Image Style Editing with Multimodal Instruction. CoRR abs/2404.12154 (2024) - [i39]Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang:
Balancing Similarity and Complementarity for Federated Learning. CoRR abs/2405.09892 (2024) - [i38]Jia Li, Lijie Hu, Zhixian He, Jingfeng Zhang, Tianhang Zheng, Di Wang:
Text Guided Image Editing with Automatic Concept Locating and Forgetting. CoRR abs/2405.19708 (2024) - [i37]Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu:
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. CoRR abs/2406.00685 (2024) - [i36]Yukai Xu, Jingfeng Zhang, Yujie Gu:
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data. CoRR abs/2406.10563 (2024) - [i35]Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang:
ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning. CoRR abs/2407.10162 (2024) - [i34]Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, Jingren Zhou:
ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. CoRR abs/2410.00086 (2024) - 2023
- [j8]Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen:
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20(3): 1882-1894 (2023) - [c22]Jingfeng Zhang, Jon Willits:
Distributional Language Models and Representing Multiple Kinds of Semantic Relations. CogSci 2023 - [c21]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML 2023: 11255-11282 - [c20]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. NeurIPS 2023 - [c19]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. NeurIPS 2023 - [i33]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR abs/2302.02907 (2023) - [i32]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. CoRR abs/2302.03857 (2023) - [i31]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. CoRR abs/2305.00374 (2023) - [i30]Jingfeng Zhang, Bo Song, Bo Han, Lei Liu, Gang Niu, Masashi Sugiyama:
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks. CoRR abs/2305.00399 (2023) - [i29]Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama:
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning. CoRR abs/2305.18377 (2023) - [i28]Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli:
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework. CoRR abs/2310.01818 (2023) - [i27]Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli:
An LLM can Fool Itself: A Prompt-Based Adversarial Attack. CoRR abs/2310.13345 (2023) - [i26]Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang:
Fair Text-to-Image Diffusion via Fair Mapping. CoRR abs/2311.17695 (2023) - [i25]Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang:
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing. CoRR abs/2312.11392 (2023) - 2022
- [j7]Jichang Zhang, Faisal Najeeb, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Chengbo Wang:
Improved Dynamic Contrast-Enhanced MRI Using Low Rank With Joint Sparsity. IEEE Access 10: 121193-121203 (2022) - [j6]Jinkui Hao, Jiang Liu, Ella Pereira, Ri Liu, Jiong Zhang, Yangfan Zhang, Kun Yan, Yan Gong, Jianjun Zheng, Jingfeng Zhang, Yonghuai Liu, Yitian Zhao:
Uncertainty-guided graph attention network for parapneumonic effusion diagnosis. Medical Image Anal. 75: 102217 (2022) - [j5]Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama:
NoiLin: Improving adversarial training and correcting stereotype of noisy labels. Trans. Mach. Learn. Res. 2022 (2022) - [j4]Zehao Lin, Guodun Li, Jingfeng Zhang, Yue Deng, Xiangji Zeng, Yin Zhang, Yao Wan:
XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training. ACM Trans. Softw. Eng. Methodol. 31(3): 52:1-52:44 (2022) - [c18]Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Yao Xiang, Jingfeng Zhang, Jianjun Zheng, Jiang Liu:
Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block. ICCCV 2022: 85-92 - [c17]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. ICLR 2022 - [c16]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue:
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. ICME 2022: 1-6 - [c15]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests. ICML 2022: 24743-24769 - [c14]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. IJCAI 2022: 1516-1522 - [c13]Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han:
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. KDD 2022: 1358-1367 - [c12]Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. NeurIPS 2022 - [c11]Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang:
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS 2022 - [i24]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. CoRR abs/2201.04397 (2022) - [i23]Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests. CoRR abs/2202.03077 (2022) - [i22]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training against Backdoor Attacks. CoRR abs/2202.10627 (2022) - [i21]Yunjie Ge, Qian Wang, Jingfeng Zhang, Juntao Zhou, Yunzhu Zhang, Chao Shen:
WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice. CoRR abs/2203.13497 (2022) - [i20]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue:
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. CoRR abs/2204.10731 (2022) - [i19]Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng:
Accelerating Score-based Generative Models for High-Resolution Image Synthesis. CoRR abs/2206.04029 (2022) - [i18]Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang:
FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. CoRR abs/2208.14191 (2022) - [i17]Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. CoRR abs/2211.00269 (2022) - 2021
- [j3]Zhexin Xie, Bohan Chen, Jiaqi Liu, Feiyang Yuan, Zhuyin Shao, Hui Yang, August G. Domel, Jingfeng Zhang, Li Wen:
A Tapered Soft Robotic Oropharyngeal Swab for Throat Testing: A New Way to Collect Sputa Samples. IEEE Robotics Autom. Mag. 28(1): 90-100 (2021) - [c10]Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui:
Disentangled Code Representation Learning for Multiple Programming Languages. ACL/IJCNLP (Findings) 2021: 4454-4466 - [c9]Haiwen Hong, Jingfeng Zhang, Yin Zhang, Yao Wan, Yulei Sui:
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing. EMNLP (1) 2021: 3495-3504 - [c8]Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli:
Geometry-aware Instance-reweighted Adversarial Training. ICLR 2021 - [c7]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. ICML 2021: 2880-2891 - [c6]Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama:
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks. ICML 2021: 3564-3575 - [c5]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML 2021: 11693-11703 - [c4]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue:
RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. ACM Multimedia 2021: 4239-4248 - [c3]Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue:
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. ACM Multimedia 2021: 5591-5599 - [i16]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. CoRR abs/2102.01886 (2021) - [i15]Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama:
Understanding the Interaction of Adversarial Training with Noisy Labels. CoRR abs/2102.03482 (2021) - [i14]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR abs/2102.05311 (2021) - [i13]Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama:
Guided Interpolation for Adversarial Training. CoRR abs/2102.07327 (2021) - [i12]Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama:
NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? CoRR abs/2105.14676 (2021) - [i11]Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang:
Reliable Adversarial Distillation with Unreliable Teachers. CoRR abs/2106.04928 (2021) - [i10]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue:
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition. CoRR abs/2107.08192 (2021) - [i9]Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue:
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. CoRR abs/2107.09909 (2021) - 2020
- [c2]Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. ICML 2020: 11278-11287 - [i8]Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli:
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. CoRR abs/2002.11242 (2020) - [i7]Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan S. Kankanhalli:
Hierarchically Fair Federated Learning. CoRR abs/2004.10386 (2020) - [i6]Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan S. Kankanhalli, Gang Chen:
Robust Federated Recommendation System. CoRR abs/2006.08259 (2020) - [i5]Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli:
Geometry-aware Instance-reweighted Adversarial Training. CoRR abs/2010.01736 (2020) - [i4]Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama:
Maximum Mean Discrepancy is Aware of Adversarial Attacks. CoRR abs/2010.11415 (2020)
2010 – 2019
- 2019
- [j2]Jingfeng Zhang, Yuan Jing, Pandao Li, Wanshui Han, Nan Zhang, Yun-Lai Zhou:
Experimental and Numerical Investigation on the Ultimate Vertical Bearing Capacity of U-Shaped Girder with Damaged Web. Sensors 19(17): 3735 (2019) - [j1]Chaoqun Sha, Jingfeng Zhang, Lei An, Yongsheng Zhang, Zhipeng Wang, Tomi Ilijas, Nejc Bat, Miha Verlic, Qing Ji:
Facilitating HPC Operation and Administration via Cloud. Supercomput. Front. Innov. 6(1): 23-35 (2019) - [c1]Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli:
Towards Robust ResNet: A Small Step but a Giant Leap. IJCAI 2019: 4285-4291 - [i3]Jingfeng Zhang, Bo Han, Laura Wynter, Kian Hsiang Low, Mohan S. Kankanhalli:
Towards Robust ResNet: A Small Step but A Giant Leap. CoRR abs/1902.10887 (2019) - [i2]Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama:
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? CoRR abs/1911.08696 (2019) - 2018
- [i1]Jingfeng Zhang, Laura Wynter:
Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification. CoRR abs/1809.10315 (2018)
Coauthor Index
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