Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification. - Jingfeng Zhang; Laura Wynter (CoRR, 2018)

Towards Robust ResNet: A Small Step but a Giant Leap. - Jingfeng Zhang; Bo Han 003; Laura Wynter; Bryan Kian Hsiang Low; Mohan S. Kankanhalli (IJCAI, 2019)

Where is the Bottleneck of Adversarial Learning with Unlabeled Data? - Jingfeng Zhang; Bo Han 003; Gang Niu 001; Tongliang Liu; Masashi Sugiyama (CoRR, 2019)

Experimental and Numerical Investigation on the Ultimate Vertical Bearing Capacity of U-Shaped Girder with Damaged Web. - Jingfeng Zhang; Yuan Jing; Pandao Li; Wanshui Han; Nan Zhang; Yun-Lai Zhou (Sensors, 2019)

Facilitating HPC Operation and Administration via Cloud. - Chaoqun Sha; Jingfeng Zhang; Lei An; Yongsheng Zhang; Zhipeng Wang; Tomi Ilijas; Nejc Bat; Miha Verlic; Qing Ji (Supercomput. Front. Innov., 2019)

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. - Jingfeng Zhang; Xilie Xu; Bo Han 003; Gang Niu 001; Lizhen Cui; Masashi Sugiyama; Mohan S. Kankanhalli (ICML, 2020)

Hierarchically Fair Federated Learning. - Jingfeng Zhang; Cheng Li 003; Antonio Robles-Kelly; Mohan S. Kankanhalli (CoRR, 2020)

Robust Federated Recommendation System. - Chen Chen 043; Jingfeng Zhang; Anthony K. H. Tung; Mohan S. Kankanhalli; Gang Chen 001 (CoRR, 2020)

Maximum Mean Discrepancy is Aware of Adversarial Attacks. - Ruize Gao; Feng Liu 003; Jingfeng Zhang; Bo Han 003; Tongliang Liu; Gang Niu 001; Masashi Sugiyama (CoRR, 2020)

Disentangled Code Representation Learning for Multiple Programming Languages. - Jingfeng Zhang; Haiwen Hong; Yin Zhang 006; Yao Wan 001; Ye Liu 006; Yulei Sui (ACL/IJCNLP (Findings), 2021)

Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing. - Haiwen Hong; Jingfeng Zhang; Yin Zhang 006; Yao Wan 001; Yulei Sui (EMNLP (1), 2021)

Geometry-aware Instance-reweighted Adversarial Training. - Jingfeng Zhang; Jianing Zhu; Gang Niu 001; Bo Han 003; Masashi Sugiyama; Mohan S. Kankanhalli (ICLR, 2021)

Learning Diverse-Structured Networks for Adversarial Robustness. - Xuefeng Du; Jingfeng Zhang; Bo Han 003; Tongliang Liu; Yu Rong 001; Gang Niu 001; Junzhou Huang; Masashi Sugiyama (ICML, 2021)

Maximum Mean Discrepancy Test is Aware of Adversarial Attacks. - Ruize Gao; Feng Liu 003; Jingfeng Zhang; Bo Han 003; Tongliang Liu; Gang Niu 001; Masashi Sugiyama (ICML, 2021)

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. - Hanshu Yan; Jingfeng Zhang; Gang Niu 001; Jiashi Feng; Vincent Y. F. Tan; Masashi Sugiyama (ICML, 2021)

DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. - Haiwen Hong; Xuan Jin; Yin Zhang 006; Yunqing Hu; Jingfeng Zhang; Yuan He 011; Hui Xue 001 (ACM Multimedia, 2021)

RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. - Yunqing Hu; Xuan Jin; Yin Zhang 006; Haiwen Hong; Jingfeng Zhang; Yuan He 011; Hui Xue 001 (ACM Multimedia, 2021)

Understanding the Interaction of Adversarial Training with Noisy Labels. - Jianing Zhu; Jingfeng Zhang; Bo Han 003; Tongliang Liu; Gang Niu 001; Hongxia Yang; Mohan S. Kankanhalli; Masashi Sugiyama (CoRR, 2021)

Guided Interpolation for Adversarial Training. - Chen Chen 043; Jingfeng Zhang; Xilie Xu; Tianlei Hu; Gang Niu 001; Gang Chen 001; Masashi Sugiyama (CoRR, 2021)

NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? - Jingfeng Zhang; Xilie Xu; Bo Han 003; Tongliang Liu; Gang Niu 001; Lizhen Cui; Masashi Sugiyama (CoRR, 2021)

RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition. - Yunqing Hu; Xuan Jin; Yin Zhang 006; Haiwen Hong; Jingfeng Zhang; Yuan He 011; Hui Xue 001 (CoRR, 2021)

A Tapered Soft Robotic Oropharyngeal Swab for Throat Testing: A New Way to Collect Sputa Samples. - Zhexin Xie; Bohan Chen; Jiaqi Liu; Feiyang Yuan; Zhuyin Shao; Hui Yang; August G. Domel; Jingfeng Zhang; Li Wen (IEEE Robotics Autom. Mag., 2021)

Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block. - Xiaoxi Lu; Xingyue Wang; Jiansheng Fang; Na Zeng; Yao Xiang; Jingfeng Zhang; Jianjun Zheng; Jiang Liu 001 (ICCCV, 2022)

Reliable Adversarial Distillation with Unreliable Teachers. - Jianing Zhu; Jiangchao Yao; Bo Han 003; Jingfeng Zhang; Tongliang Liu; Gang Niu 001; Jingren Zhou 001; Jianliang Xu; Hongxia Yang (ICLR, 2022)

Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. - Yunqing Hu; Xuan Jin; Yin Zhang 006; Haiwen Hong; Jingfeng Zhang; Feihu Yan; Yuan He 011; Hui Xue 001 (ICME, 2022)

Adversarial Attack and Defense for Non-Parametric Two-Sample Tests. - Xilie Xu; Jingfeng Zhang; Feng Liu 003; Masashi Sugiyama; Mohan S. Kankanhalli (ICML, 2022)

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

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. - Xiong Peng; Feng Liu 003; Jingfeng Zhang; Long Lan; Junjie Ye; Tongliang Liu; Bo Han 003 (KDD, 2022)

Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. - Jianan Zhou 002; Jianing Zhu; Jingfeng Zhang; Tongliang Liu; Gang Niu 001; Bo Han 003; Masashi Sugiyama (NeurIPS, 2022)

Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. - Sen Cui; Jingfeng Zhang; Jian Liang 002; Bo Han 003; Masashi Sugiyama; Changshui Zhang (NeurIPS, 2022)

Improved Dynamic Contrast-Enhanced MRI Using Low Rank With Joint Sparsity. - Jichang Zhang; Faisal Najeeb; Xinpei Wang; Pengfei Xu; Hammad Omer; Jianjun Zheng; Jingfeng Zhang; Sue Francis; Paul Glover; Richard Bowtell; Chengbo Wang (IEEE Access, 2022)

Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests. - Xilie Xu; Jingfeng Zhang; Feng Liu 003; Masashi Sugiyama; Mohan S. Kankanhalli (CoRR, 2022)

WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice. - Yunjie Ge; Qian Wang 002; Jingfeng Zhang; Juntao Zhou; Yunzhu Zhang; Chao Shen 001 (CoRR, 2022)

Accelerating Score-based Generative Models for High-Resolution Image Synthesis. - Hengyuan Ma; Li Zhang 040; Xiatian Zhu; Jingfeng Zhang; Jianfeng Feng (CoRR, 2022)

FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. - Lichen Jia; Bowen Tang 001; Chenggang Wu 002; Zhe Wang 017; Zihan Jiang; Yuanming Lai; Yan Kang 002; Ning Liu; Jingfeng Zhang (CoRR, 2022)

Uncertainty-guided graph attention network for parapneumonic effusion diagnosis. - Jinkui Hao; Jiang Liu 001; Ella Pereira; Ri Liu; Jiong Zhang; Yangfan Zhang; Kun Yan; Yan Gong; Jianjun Zheng; Jingfeng Zhang; Yonghuai Liu; Yitian Zhao (Medical Image Anal., 2022)

NoiLin: Improving adversarial training and correcting stereotype of noisy labels. - Jingfeng Zhang; Xilie Xu; Bo Han 003; Tongliang Liu; Lizhen Cui; Gang Niu 001; Masashi Sugiyama (Trans. Mach. Learn. Res., 2022)

XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training. - Zehao Lin; Guodun Li; Jingfeng Zhang; Yue Deng; Xiangji Zeng; Yin Zhang 006; Yao Wan 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Distributional Language Models and Representing Multiple Kinds of Semantic Relations. - Jingfeng Zhang; Jon Willits (CogSci, 2023)

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

Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. - Xilie Xu; Jingfeng Zhang; Feng Liu 003; Masashi Sugiyama; Mohan S. Kankanhalli (NeurIPS, 2023)

Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. - Xilie Xu; Jingfeng Zhang; Feng Liu 003; Masashi Sugiyama; Mohan S. Kankanhalli (NeurIPS, 2023)

Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks. - Jingfeng Zhang; Bo Song; Bo Han 003; Lei Liu 003; Gang Niu 001; Masashi Sugiyama (CoRR, 2023)

AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework. - Xilie Xu; Jingfeng Zhang; Mohan S. Kankanhalli (CoRR, 2023)

Decision Boundary-Aware Data Augmentation for Adversarial Training. - Chen Chen 043; Jingfeng Zhang; Xilie Xu; Lingjuan Lyu; Chaochao Chen 001; Tianlei Hu; Gang Chen 001 (IEEE Trans. Dependable Secur. Comput., 2023)

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

Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants. - Lichen Jia; Chenggang Wu 002; Bowen Tang 001; Peihua Zhang; Zihan Jiang; Yang Yang; Ning Liu; Jingfeng Zhang; Zhe Wang 017 (EMNLP (Findings), 2024)

Accurate Forgetting for Heterogeneous Federated Continual Learning. - Abudukelimu Wuerkaixi; Sen Cui; Jingfeng Zhang; Kunda Yan; Bo Han 003; Gang Niu 001; Lei Fang; Changshui Zhang; Masashi Sugiyama (ICLR, 2024)

An LLM can Fool Itself: A Prompt-Based Adversarial Attack. - Xilie Xu; Keyi Kong; Ning Liu 014; Lizhen Cui; Di Wang 015; Jingfeng Zhang; Mohan S. Kankanhalli (ICLR, 2024)

AutoLoRa: An Automated Robust Fine-Tuning Framework. - Xilie Xu; Jingfeng Zhang; Mohan S. Kankanhalli (ICLR, 2024)

3D Nodule Content-Based Metric Learning for Evidence-Based Lung Cancer Screening. - Xiaoxi Lu; Xingyue Wang; Jiansheng Fang; Na Zeng; Jingqi Huang; Chuangguang Huang; Jingfeng Zhang; Jianjun Zheng; Heng Meng; Jiang Liu 001 (ICME, 2024)

Balancing Similarity and Complementarity for Federated Learning. - Kunda Yan; Sen Cui; Abudukelimu Wuerkaixi; Jingfeng Zhang; Bo Han 003; Gang Niu 001; Masashi Sugiyama; Changshui Zhang (ICML, 2024)

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. - Jiacheng Zhang; Feng Liu 003; Dawei Zhou 004; Jingfeng Zhang; Tongliang Liu (ICML, 2024)

ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning. - Zhongsheng Wang; Jiamou Liu; Qiming Bao 001; Hongfei Rong; Jingfeng Zhang (IJCNN, 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 015 (NeurIPS, 2024)

Perplexity-aware Correction for Robust Alignment with Noisy Preferences. - Keyi Kong; Xilie Xu; Di Wang 015; Jingfeng Zhang; Mohan S. Kankanhalli (NeurIPS, 2024)

Land Classification Research Based on the Improved Deeplabv3+ Model and the AI Earth Remote Sensing Cloud Platform. - Songyue He; Bin Zhou; Ben Wang; Zhipeng Ding; Jingfeng Zhang (IEEE Access, 2024)

Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models. - Zihao Luo; Xilie Xu; Feng Liu; Yun Sing Koh; Di Wang 015; Jingfeng Zhang (CoRR, 2024)

Make Me Happier: Evoking Emotions Through Image Diffusion Models. - Qing Lin; Jingfeng Zhang; Yew Soon Ong; Mengmi Zhang (CoRR, 2024)

Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance. - Yulin Pan; Chaojie Mao; Zeyinzi Jiang; Zhen Han; Jingfeng Zhang (CoRR, 2024)

StyleBooth: Image Style Editing with Multimodal Instruction. - Zhen Han; Chaojie Mao; Zeyinzi Jiang; Yulin Pan; Jingfeng Zhang (CoRR, 2024)

Text Guided Image Editing with Automatic Concept Locating and Forgetting. - Jia Li 053; Lijie Hu; Zhixian He; Jingfeng Zhang; Tianhang Zheng; Di Wang 015 (CoRR, 2024)

Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data. - Yukai Xu; Jingfeng Zhang; Yujie Gu (CoRR, 2024)

ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. - Zhen Han; Zeyinzi Jiang; Yulin Pan; Jingfeng Zhang; Chaojie Mao; Chenwei Xie; Yu Liu 063; Jingren Zhou 001 (CoRR, 2024)

An Individual Identity-Driven Framework for Animal Re-Identification. - Yihao Wu; Di Zhao; Jingfeng Zhang; Yun Sing Koh (CoRR, 2024)

ColorEdit: Training-free Image-Guided Color editing with diffusion model. - Xingxi Yin; Zhi Li; Jingfeng Zhang; Chenglin Li; Yin Zhang (CoRR, 2024)

Dissecting Misalignment of Multimodal Large Language Models via Influence Function. - Lijie Hu; Chenyang Ren; Huanyi Xie; Khouloud Saadi; Shu Yang 010; Jingfeng Zhang; Di Wang 015 (CoRR, 2024)

DewaterGAN: A Physics-Guided Unsupervised Image Water Removal for UAV in Coastal Zone. - Fengqin Yao; Fuzhi Tang; Xiandong Wang; Yuzhen Wang; Shengke Wang; Guoqiang Zhong 001; Jingfeng Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. - Ting Zhou; Hanshu Yan; Bo Han 003; Lei Liu 003; Jingfeng Zhang (Neural Networks, 2024)

BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning. - Jingfeng Zhang; Bo Song; Haohan Wang; Bo Han 003; Tongliang Liu; Lei Liu 003; Masashi Sugiyama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhance Adversarial Robustness via Geodesic Distance. - Jun Yan 009; Huilin Yin; Ziming Zhao 006; Wancheng Ge; Jingfeng Zhang (IEEE Trans. Artif. Intell., 2024)

Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. - Xiaoyu Bai; Geng Chen 001; Benteng Ma; Changyang Li; Jingfeng Zhang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2024)

On the Effectiveness of Adversarial Training Against Backdoor Attacks. - Yinghua Gao; Dongxian Wu; Jingfeng Zhang; Guanhao Gan; Shu-Tao Xia; Gang Niu 001; Masashi Sugiyama (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fair Text-to-Image Diffusion via Fair Mapping. - Jia Li 053; Lijie Hu; Jingfeng Zhang; Tianhang Zheng; Hua Zhang; Di Wang 015 (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 015; Jingfeng Zhang (AAAI, 2025)

Adversarial Preference Learning for Robust LLM Alignment. - Yuanfu Wang; Pengyu Wang; Chenyang Xi; Bo Tang 011; Junyi Zhu 015; Wenqiang Wei; Chen Chen; Chao Yang; Jingfeng Zhang; Chaochao Lu; Yijun Niu; Keming Mao; et al. (ACL (Findings), 2025)

Improving Story Visualization via Attribute Encoding and Adaptive Attention. - Meiling Liu; Yameng Zhen; Jiyun Zhou; Jingfeng Zhang (ICIC (21), 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 063; Jingren Zhou 001 (ICLR, 2025)

Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images. - Wenting Lan; Jinkui Hao; Shengjun Zhou; Jingfeng Zhang; Shaodong Ma; Yitian Zhao (IEEE Access, 2025)

Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting. - Jichang Zhang; Faisal Najeeb; Yulin Wang; Xinpei Wang; Pengfei Xu; Hammad Omer; Jianjun Zheng; Jingfeng Zhang; Sue Francis; Paul Glover; Richard Bowtell; Thomas Meersmann; et al. (IEEE Access, 2025)

Comprehensive gradient-free optimization plugin with kernel density estimation-based cyclical learning rate and dynamic bandwidth adaptation. - Hu Yu; Weiping Yan; Xiaoyu Che; Wenzheng Liu; Rupeng Zhu; Weifang Chen; Xiaodong Miao; Jingfeng Zhang (Expert Syst. Appl., 2025)

FedMDD: Multi-deliberation based calibration for federated long-tailed learning. - Yiwen Wang; Jiaxin Li; Heye Zhang; Jingfeng Zhang; Feng Wan; Anqi Qiu; Zhifan Gao (Knowl. Based Syst., 2025)

ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling. - Chaojie Mao; Jingfeng Zhang; Yulin Pan; Zeyinzi Jiang; Zhen Han; Yu Liu 063; Jingren Zhou 001 (CoRR, 2025)

Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation. - Qingjie Zeng; Yutong Xie 001; Zilin Lu; Mengkang Lu; Jingfeng Zhang; Yong Xia 001 (IEEE Trans. Medical Imaging, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy. - Jiacheng Zhang; Benjamin I. P. Rubinstein; Jingfeng Zhang; Feng Liu (CoRR, 2025)

VACE: All-in-One Video Creation and Editing. - Zeyinzi Jiang; Zhen Han; Chaojie Mao; Jingfeng Zhang; Yulin Pan; Yu Liu 063 (CoRR, 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 063 (CoRR, 2025)

Wan: Open and Advanced Large-Scale Video Generative Models. - Ang Wang; Baole Ai; Bin Wen; Chaojie Mao; Chen-Wei Xie; Di Chen; Feiwu Yu; Haiming Zhao; Jianxiao Yang; Jianyuan Zeng; Jiayu Wang; Jingfeng Zhang; et al. (CoRR, 2025)

Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. - Yang Hu; Yuanyuan Chen; Xiaohan Xing; Jingfeng Zhang; Bolysbek Murat Yerzhanuly; Bazargul Matkerim; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2025)

InstructAttribute: Fine-grained Object Attributes editing with Instruction. - Xingxi Yin; Jingfeng Zhang; Zhi Li; Yicheng Li; Yin Zhang (CoRR, 2025)

Learning without Isolation: Pathway Protection for Continual Learning. - Zhikang Chen; Abudukelimu Wuerkaixi; Sen Cui; Haoxuan Li 001; Ding Li; Jingfeng Zhang; Bo Han 003; Gang Niu 001; Houfang Liu; Yi Yang 039; Sifan Yang; Changshui Zhang; et al. (CoRR, 2025)

Stable Vision Concept Transformers for Medical Diagnosis. - Lijie Hu; Songning Lai; Yuan Hua; Shu Yang; Jingfeng Zhang; Di Wang (CoRR, 2025)

A tutorial note on collecting simulated data for vision-language-action models. - Heran Wu; Zirun Zhou; Jingfeng Zhang (CoRR, 2025)

Active Learning Based on Temporal Difference of Gradient Flow in Thoracic Disease Diagnosis. - Jiayi Chen; Benteng Ma; Hengfei Cui; Jingfeng Zhang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2025)