Jingfeng Zhang

140 papers A* 33A 3B 3Journal 91Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D Deployment of UAV-BSs in Semantic Communication Networks: Mean-Field Multi-Agent Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. Hui Li, Kun Zhu, Tianxu Li, Heng Zhu, Jingfeng Zhang
2026	J	`jnl`	Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models. CoRR Siqi Wen, Shu Yang, Shaopeng Fu, Jingfeng Zhang, Lijie Hu, Di Wang
2026	J	`jnl`	Controllable Concept Bottleneck Models. CoRR Hongbin Lin, Chenyang Ren, Juangui Xu, Zhengyu Hu, Cheng-Long Wang, Yao Shu, Hui Xiong, Jingfeng Zhang, Di Wang, Lijie Hu
2026	J	`jnl`	Determinants of healthcare professionals' acceptance of DeepSeek-assisted clinical decision support applications: a cross-sectional study. BMC Medical Informatics Decis. Mak. Honglin Shao, Shengrong Zhu, Chen Zhang, Hong Ji, Wei Li, Jingfeng Zhang, Wei Fu
2026	J	`jnl`	Prediction of maximum impact displacement of reinforced concrete columns based on interpretable machine learning. Eng. Appl. Artif. Intell. Jingfeng Zhang, Jiaxin Luo, Yifan Jing, Shizhi Chen, Hang Li
2026	J	`jnl`	Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training. CoRR Jinbo Xing, Zeyinzi Jiang, Yuxiang Tuo, Chaojie Mao, Xiaotang Gai, Xi Chen, Jingfeng Zhang, Yulin Pan, Zhen Han, Jie Xiao, Keyu Yan, Xie Chen, Chongyang Zhong, Kai Zhu, Tong Shen, Lianghua Huang, Yu Liu, Yujiu Yang
2025	J	`jnl`	A tutorial note on collecting simulated data for vision-language-action models. CoRR Heran Wu, Zirun Zhou, Jingfeng Zhang
2025	—	`conf`	ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling. ICCVW Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, Jingren Zhou
2025	J	`jnl`	ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling. CoRR Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, Jingren Zhou
2025	A*	`conf`	ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. ICLR Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chen-Wei Xie, Yu Liu, Jingren Zhou
2025	J	`jnl`	Accurate Forgetting for Heterogeneous Federated Continual Learning. CoRR Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama
2025	J	`jnl`	Active Learning Based on Temporal Difference of Gradient Flow in Thoracic Disease Diagnosis. IEEE J. Biomed. Health Informatics Jiayi Chen, Benteng Ma, Hengfei Cui, Jingfeng Zhang, Yong Xia
2025	—	`conf`	Adversarial Preference Learning for Robust LLM Alignment. ACL (Findings) Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang
2025	J	`jnl`	Adversarial Preference Learning for Robust LLM Alignment. CoRR Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang
2025	A*	`conf`	Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation. IJCAI Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh
2025	J	`jnl`	Comprehensive gradient-free optimization plugin with kernel density estimation-based cyclical learning rate and dynamic bandwidth adaptation. Expert Syst. Appl. Hu Yu, Weiping Yan, Xiaoyu Che, Wenzheng Liu, Rupeng Zhu, Weifang Chen, Xiaodong Miao, Jingfeng Zhang
2025	J	`jnl`	Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Jingfeng Zhang, Yong Xia
2025	J	`jnl`	DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy. CoRR Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu
2025	A*	`conf`	Editable Concept Bottleneck Models. ICML Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang
2025	A	`conf`	Enhancing Hateful Meme Detection via Modality Enhancement and Multi-View Fusion. ICME Ying Zeng, Meiling Liu, Jiyun Zhou, Jingfeng Zhang
2025	A*	`conf`	Fair Text-to-Image Diffusion via Fair Mapping. AAAI Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang
2025	J	`jnl`	FedMDD: Multi-deliberation based calibration for federated long-tailed learning. Knowl. Based Syst. Yiwen Wang, Jiaxin Li, Heye Zhang, Jingfeng Zhang, Feng Wan, Anqi Qiu, Zhifan Gao
2025	J	`jnl`	Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects. CoRR Zirun Zhou, Zhengyang Xiao, Haochuan Xu, Jing Sun, Di Wang, Jingfeng Zhang
2025	J	`jnl`	Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images. IEEE Access Wenting Lan, Jinkui Hao, Shengjun Zhou, Jingfeng Zhang, Shaodong Ma, Yitian Zhao
2025	J	`jnl`	Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. IEEE J. Biomed. Health Informatics Yang Hu, Yuanyuan Chen, Xiaohan Xing, Jingfeng Zhang, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia
2025	J	`jnl`	ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing. CoRR Yulin Pan, Xiangteng He, Chaojie Mao, Zhen Han, Zeyinzi Jiang, Jingfeng Zhang, Yu Liu
2025	J	`jnl`	Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting. IEEE Access Jichang Zhang, Faisal Najeeb, Yulin Wang, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Thomas Meersmann, Chengbo Wang
2025	—	`conf`	Improving Story Visualization via Attribute Encoding and Adaptive Attention. ICIC (21) Meiling Liu, Yameng Zhen, Jiyun Zhou, Jingfeng Zhang
2025	J	`jnl`	InstructAttribute: Fine-grained Object Attributes editing with Instruction. CoRR Xingxi Yin, Jingfeng Zhang, Zhi Li, Yicheng Li, Yin Zhang
2025	A*	`conf`	Learning without Isolation: Pathway Protection for Continual Learning. ICML 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
2025	J	`jnl`	Learning without Isolation: Pathway Protection for Continual Learning. CoRR 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
2025	A*	`conf`	MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning. ICML Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami
2025	J	`jnl`	Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models. CoRR Haochuan Xu, Yun Sing Koh, Shuhuai Huang, Zirun Zhou, Di Wang, Jun Sakuma, Jingfeng Zhang
2025	A*	`conf`	One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy. ICML Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu
2025	A*	`conf`	Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models. AAAI Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
2025	J	`jnl`	Robust Learning of Diffusion Models with Extremely Noisy Conditions. CoRR Xin Chen, Gillian Dobbie, Xinyu Wang, Feng Liu, Di Wang, Jingfeng Zhang
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety. Found. Trends Priv. Secur. Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	—	`conf`	Stable Vision Concept Transformers for Medical Diagnosis. ECML/PKDD (3) Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang
2025	J	`jnl`	Stable Vision Concept Transformers for Medical Diagnosis. CoRR Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang
2025	—	`conf`	StyleBooth: Image Style Editing with Multimodal Instruction. ICCVW Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang
2025	J	`jnl`	VACE: All-in-One Video Creation and Editing. CoRR Zeyinzi Jiang, Zhen Han, Chaojie Mao, Jingfeng Zhang, Yulin Pan, Yu Liu
2025	J	`jnl`	Wan: Open and Advanced Large-Scale Video Generative Models. CoRR 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, Jingren Zhou, Jinkai Wang, Jixuan Chen, Kai Zhu, Kang Zhao, Keyu Yan, Lianghua Huang, Xiaofeng Meng, Ningyi Zhang, Pandeng Li, Pingyu Wu, Ruihang Chu, Ruili Feng, Shiwei Zhang, Siyang Sun, Tao Fang, Tianxing Wang, Tianyi Gui, Tingyu Weng, Tong Shen, Wei Lin, Wei Wang, Wei Wang, Wenmeng Zhou, Wente Wang, Wenting Shen, Wenyuan Yu, Xianzhong Shi, Xiaoming Huang, Xin Xu, Yan Kou, Yangyu Lv, Yifei Li, Yijing Liu, Yiming Wang, Yingya Zhang, Yitong Huang, Yong Li, You Wu, Yu Liu, Yulin Pan, Yun Zheng, Yuntao Hong, Yupeng Shi, Yutong Feng, Zeyinzi Jiang, Zhen Han, Zhi-Fan Wu, Ziyu Liu
2024	A	`conf`	3D Nodule Content-Based Metric Learning for Evidence-Based Lung Cancer Screening. ICME Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Jingqi Huang, Chuangguang Huang, Jingfeng Zhang, Jianjun Zheng, Heng Meng, Jiang Liu
2024	J	`jnl`	ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer. CoRR Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, Jingren Zhou
2024	A*	`conf`	Accurate Forgetting for Heterogeneous Federated Continual Learning. ICLR Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama
2024	J	`jnl`	An Individual Identity-Driven Framework for Animal Re-Identification. CoRR Yihao Wu, Di Zhao, Jingfeng Zhang, Yun Sing Koh
2024	A*	`conf`	An LLM can Fool Itself: A Prompt-Based Adversarial Attack. ICLR Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
2024	A*	`conf`	AutoLoRa: An Automated Robust Fine-Tuning Framework. ICLR Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli
2024	J	`jnl`	BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
2024	A*	`conf`	Balancing Similarity and Complementarity for Federated Learning. ICML Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
2024	J	`jnl`	Balancing Similarity and Complementarity for Federated Learning. CoRR Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
2024	B	`conf`	ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning. IJCNN Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang
2024	J	`jnl`	ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning. CoRR Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang
2024	J	`jnl`	ColorEdit: Training-free Image-Guided Color editing with diffusion model. CoRR Xingxi Yin, Zhi Li, Jingfeng Zhang, Chenglin Li, Yin Zhang
2024	J	`jnl`	DewaterGAN: A Physics-Guided Unsupervised Image Water Removal for UAV in Coastal Zone. IEEE Trans. Geosci. Remote. Sens. Fengqin Yao, Fuzhi Tang, Xiandong Wang, Yuzhen Wang, Shengke Wang, Guoqiang Zhong, Jingfeng Zhang
2024	J	`jnl`	Dissecting Misalignment of Multimodal Large Language Models via Influence Function. CoRR Lijie Hu, Chenyang Ren, Huanyi Xie, Khouloud Saadi, Shu Yang, Jingfeng Zhang, Di Wang
2024	B	`conf`	Distributional Language Models and the Representation of Multiple Kinds of Semantic Relations. CogSci Jingfeng Zhang, Jon Willits
2024	J	`jnl`	Enhance Adversarial Robustness via Geodesic Distance. IEEE Trans. Artif. Intell. Jun Yan, Huilin Yin, Ziming Zhao, Wancheng Ge, Jingfeng Zhang
2024	—	`conf`	Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants. EMNLP (Findings) Lichen Jia, Chenggang Wu, Bowen Tang, Peihua Zhang, Zihan Jiang, Yang Yang, Ning Liu, Jingfeng Zhang, Zhe Wang
2024	J	`jnl`	Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. IEEE J. Biomed. Health Informatics Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia
2024	A*	`conf`	Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. ICML Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
2024	J	`jnl`	Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. CoRR Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
2024	J	`jnl`	Land Classification Research Based on the Improved Deeplabv3+ Model and the AI Earth Remote Sensing Cloud Platform. IEEE Access Songyue He, Bin Zhou, Ben Wang, Zhipeng Ding, Jingfeng Zhang
2024	J	`jnl`	Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. Neural Networks Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang
2024	J	`jnl`	Locate, Assign, Refine: Taming Customized Image Inpainting with Text-Subject Guidance. CoRR Yulin Pan, Chaojie Mao, Zeyinzi Jiang, Zhen Han, Jingfeng Zhang
2024	J	`jnl`	Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang
2024	J	`jnl`	On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Trans. Neural Networks Learn. Syst. Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
2024	A*	`conf`	Perplexity-aware Correction for Robust Alignment with Noisy Preferences. NeurIPS Keyi Kong, Xilie Xu, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
2024	—	`conf`	Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data. CAI Yukai Xu, Jingfeng Zhang, Yujie Gu
2024	J	`jnl`	Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data. CoRR Yukai Xu, Jingfeng Zhang, Yujie Gu
2024	J	`jnl`	Privacy-Preserving Low-Rank Adaptation for Latent Diffusion Models. CoRR Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
2024	A*	`conf`	SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing. CVPR Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang
2024	J	`jnl`	StyleBooth: Image Style Editing with Multimodal Instruction. CoRR Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang
2024	J	`jnl`	Text Guided Image Editing with Automatic Concept Locating and Forgetting. CoRR Jia Li, Lijie Hu, Zhixian He, Jingfeng Zhang, Tianhang Zheng, Di Wang
2024	A*	`conf`	Towards Multi-dimensional Explanation Alignment for Medical Classification. NeurIPS Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang
2024	J	`jnl`	Towards Multi-dimensional Explanation Alignment for Medical Classification. CoRR Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang
2023	J	`jnl`	An LLM can Fool Itself: A Prompt-Based Adversarial Attack. CoRR Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
2023	J	`jnl`	Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks. CoRR Jingfeng Zhang, Bo Song, Bo Han, Lei Liu, Gang Niu, Masashi Sugiyama
2023	J	`jnl`	AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework. CoRR Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli
2023	J	`jnl`	BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning. CoRR Jingfeng Zhang, Bo Song, Haohan Wang, Bo Han, Tongliang Liu, Lei Liu, Masashi Sugiyama
2023	J	`jnl`	Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
2023	B	`conf`	Distributional Language Models and Representing Multiple Kinds of Semantic Relations. CogSci Jingfeng Zhang, Jon Willits
2023	A*	`conf`	Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. NeurIPS Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2023	J	`jnl`	Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection. CoRR Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2023	A*	`conf`	Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. NeurIPS Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2023	J	`jnl`	Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. CoRR Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2023	J	`jnl`	Fair Text-to-Image Diffusion via Fair Mapping. CoRR Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang
2023	A*	`conf`	GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
2023	J	`jnl`	GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
2023	J	`jnl`	SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing. CoRR Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang
2022	J	`jnl`	Accelerating Score-based Generative Models for High-Resolution Image Synthesis. CoRR Hengyuan Ma, Li Zhang, Xiatian Zhu, Jingfeng Zhang, Jianfeng Feng
2022	A*	`conf`	Adversarial Attack and Defense for Non-Parametric Two-Sample Tests. ICML Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2022	J	`jnl`	Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests. CoRR Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2022	A*	`conf`	Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. NeurIPS Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama
2022	J	`jnl`	Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. CoRR Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama
2022	A*	`conf`	Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. KDD Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han
2022	A	`conf`	Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. ICME Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue
2022	J	`jnl`	Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. CoRR Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue
2022	J	`jnl`	FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. CoRR Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang
2022	J	`jnl`	Improved Dynamic Contrast-Enhanced MRI Using Low Rank With Joint Sparsity. IEEE Access Jichang Zhang, Faisal Najeeb, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Chengbo Wang
2022	J	`jnl`	NoiLin: Improving adversarial training and correcting stereotype of noisy labels. Trans. Mach. Learn. Res. Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama
2022	J	`jnl`	On the Effectiveness of Adversarial Training against Backdoor Attacks. CoRR Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama
2022	—	`conf`	Pulmonary Nodule Detection Based on RPN with Squeeze-and-Excitation Block. ICCCV Xiaoxi Lu, Xingyue Wang, Jiansheng Fang, Na Zeng, Yao Xiang, Jingfeng Zhang, Jianjun Zheng, Jiang Liu
2022	A*	`conf`	Reliable Adversarial Distillation with Unreliable Teachers. ICLR Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2022	A*	`conf`	Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang
2022	A*	`conf`	Towards Adversarially Robust Deep Image Denoising. IJCAI Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
2022	J	`jnl`	Towards Adversarially Robust Deep Image Denoising. CoRR Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
2022	J	`jnl`	Uncertainty-guided graph attention network for parapneumonic effusion diagnosis. Medical Image Anal. Jinkui Hao, Jiang Liu, Ella Pereira, Ri Liu, Jiong Zhang, Yangfan Zhang, Kun Yan, Yan Gong, Jianjun Zheng, Jingfeng Zhang, Yonghuai Liu, Yitian Zhao
2022	J	`jnl`	WaveFuzz: A Clean-Label Poisoning Attack to Protect Your Voice. CoRR Yunjie Ge, Qian Wang, Jingfeng Zhang, Juntao Zhou, Yunzhu Zhang, Chao Shen
2022	J	`jnl`	XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training. ACM Trans. Softw. Eng. Methodol. Zehao Lin, Guodun Li, Jingfeng Zhang, Yue Deng, Xiangji Zeng, Yin Zhang, Yao Wan
2021	J	`jnl`	A Tapered Soft Robotic Oropharyngeal Swab for Throat Testing: A New Way to Collect Sputa Samples. IEEE Robotics Autom. Mag. Zhexin Xie, Bohan Chen, Jiaqi Liu, Feiyang Yuan, Zhuyin Shao, Hui Yang, August G. Domel, Jingfeng Zhang, Li Wen
2021	A*	`conf`	CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
2021	J	`jnl`	CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
2021	A*	`conf`	DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. ACM Multimedia Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue
2021	J	`jnl`	DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. CoRR Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue
2021	—	`conf`	Disentangled Code Representation Learning for Multiple Programming Languages. ACL/IJCNLP (Findings) Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui
2021	—	`conf`	Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing. EMNLP (1) Haiwen Hong, Jingfeng Zhang, Yin Zhang, Yao Wan, Yulei Sui
2021	A*	`conf`	Geometry-aware Instance-reweighted Adversarial Training. ICLR Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli
2021	J	`jnl`	Guided Interpolation for Adversarial Training. CoRR Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama
2021	A*	`conf`	Learning Diverse-Structured Networks for Adversarial Robustness. ICML Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021	J	`jnl`	Learning Diverse-Structured Networks for Adversarial Robustness. CoRR Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021	A*	`conf`	Maximum Mean Discrepancy Test is Aware of Adversarial Attacks. ICML Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama
2021	J	`jnl`	NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? CoRR Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Gang Niu, Lizhen Cui, Masashi Sugiyama
2021	A*	`conf`	RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. ACM Multimedia Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue
2021	J	`jnl`	RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition. CoRR Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue
2021	J	`jnl`	Reliable Adversarial Distillation with Unreliable Teachers. CoRR Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2021	J	`jnl`	Understanding the Interaction of Adversarial Training with Noisy Labels. CoRR Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan S. Kankanhalli, Masashi Sugiyama
2020	A*	`conf`	Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. ICML Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli
2020	J	`jnl`	Attacks Which Do Not Kill Training Make Adversarial Learning Stronger. CoRR Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli
2020	J	`jnl`	Geometry-aware Instance-reweighted Adversarial Training. CoRR Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli
2020	J	`jnl`	Hierarchically Fair Federated Learning. CoRR Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan S. Kankanhalli
2020	J	`jnl`	Maximum Mean Discrepancy is Aware of Adversarial Attacks. CoRR Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama
2020	J	`jnl`	Robust Federated Recommendation System. CoRR Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan S. Kankanhalli, Gang Chen
2019	J	`jnl`	Experimental and Numerical Investigation on the Ultimate Vertical Bearing Capacity of U-Shaped Girder with Damaged Web. Sensors Jingfeng Zhang, Yuan Jing, Pandao Li, Wanshui Han, Nan Zhang, Yun-Lai Zhou
2019	J	`jnl`	Facilitating HPC Operation and Administration via Cloud. Supercomput. Front. Innov. Chaoqun Sha, Jingfeng Zhang, Lei An, Yongsheng Zhang, Zhipeng Wang, Tomi Ilijas, Nejc Bat, Miha Verlic, Qing Ji
2019	J	`jnl`	Towards Robust ResNet: A Small Step but A Giant Leap. CoRR Jingfeng Zhang, Bo Han, Laura Wynter, Kian Hsiang Low, Mohan S. Kankanhalli
2019	A*	`conf`	Towards Robust ResNet: A Small Step but a Giant Leap. IJCAI Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli
2019	J	`jnl`	Where is the Bottleneck of Adversarial Learning with Unlabeled Data? CoRR Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama
2018	J	`jnl`	Smooth Inter-layer Propagation of Stabilized Neural Networks for Classification. CoRR Jingfeng Zhang, Laura Wynter