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Jingfeng Zhang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

38

Venues

12

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

38 indexed papers, newest first.

YearVenueTitleAuthors
2026WACVOvercoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment.Yihao Wu, Di Zhao, Yuzhuo Li, Matthew Alajas, Alistair S. Glen, Jingfeng Zhang, Gillian Dobbie, Daniel Wilson, Yun Sing Koh
2025AAAIFair Text-to-Image Diffusion via Fair Mapping.Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang
2025AAAIPrivacy-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
2025ACLAdversarial Preference Learning for Robust LLM Alignment.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
2025ICCVStyleBooth: Image Style Editing with Multimodal Instruction.Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang
2025ICCVVACE: All-in-One Video Creation and Editing.Zeyinzi Jiang, Zhen Han, Chaojie Mao, Jingfeng Zhang, Yulin Pan, Yu Liu
2025ICCVMake Me Happier: Evoking Emotions through Image Diffusion Models.Qing Lin, Jingfeng Zhang, Yew-Soon Ong, Mengmi Zhang
2025ICCVACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.Chaojie Mao, Jingfeng Zhang, Yulin Pan, Zeyinzi Jiang, Zhen Han, Yu Liu, Jingren Zhou
2025ICCVICE-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
2025ICLRACE: 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
2025ICMLLearning 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
2025ICMLEditable Concept Bottleneck Models.Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang
2025ICMLMP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning.Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami
2025ICMLOne Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy.Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu
2025IJCAIBalancing 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
2024CogSciDistributional Language Models and the Representation of Multiple Kinds of Semantic Relations.Jingfeng Zhang, Jon Willits
2024CVPRSCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing.Zeyinzi Jiang, Chaojie Mao, Yulin Pan, Zhen Han, Jingfeng Zhang
2024EMNLPEnhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants.Lichen Jia, Chenggang Wu, Bowen Tang, Peihua Zhang, Zihan Jiang, Yang Yang, Ning Liu, Jingfeng Zhang, Zhe Wang
2024ICLRAccurate Forgetting for Heterogeneous Federated Continual Learning.Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama
2024ICLRAn LLM can Fool Itself: A Prompt-Based Adversarial Attack.Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan S. Kankanhalli
2024ICLRAutoLoRa: An Automated Robust Fine-Tuning Framework.Xilie Xu, Jingfeng Zhang, Mohan S. Kankanhalli
2024ICMLBalancing Similarity and Complementarity for Federated Learning.Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi, Jingfeng Zhang, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang
2024ICMLImproving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training.Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
2024IJCNNChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning.Zhongsheng Wang, Jiamou Liu, Qiming Bao, Hongfei Rong, Jingfeng Zhang
2023CogSciDistributional Language Models and Representing Multiple Kinds of Semantic Relations.Jingfeng Zhang, Jon Willits
2023ICMLGAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks.Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
2022ICLRReliable Adversarial Distillation with Unreliable Teachers.Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
2022ICMLAdversarial Attack and Defense for Non-Parametric Two-Sample Tests.Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli
2022IJCAITowards Adversarially Robust Deep Image Denoising.Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
2022KDDBilateral Dependency Optimization: Defending Against Model-inversion Attacks.Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han
2021ACLDisentangled Code Representation Learning for Multiple Programming Languages.Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui
2021EMNLPFix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing.Haiwen Hong, Jingfeng Zhang, Yin Zhang, Yao Wan, Yulei Sui
2021ICLRGeometry-aware Instance-reweighted Adversarial Training.Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan S. Kankanhalli
2021ICMLLearning Diverse-Structured Networks for Adversarial Robustness.Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021ICMLMaximum Mean Discrepancy Test is Aware of Adversarial Attacks.Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama
2021ICMLCIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection.Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
2020ICMLAttacks Which Do Not Kill Training Make Adversarial Learning Stronger.Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan S. Kankanhalli
2019IJCAITowards Robust ResNet: A Small Step but a Giant Leap.Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli