Chen, Jinghui

39 publications

ICML 2025 AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin

NeurIPS 2025 AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections Xin Yu, Yujia Wang, Jinghui Chen, Lingzhou Xue

ICML 2025 TruthFlow: Truthful LLM Generation via Representation Flow Correction Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen

ICLR 2024 Backdoor Contrastive Learning via Bi-Level Trigger Optimization Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin

NeurIPS 2024 Data Free Backdoor Attacks Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song

ICML 2024 FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen

NeurIPS 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

ICML 2024 Graph Adversarial Diffusion Convolution Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu

TMLR 2024 On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization Dongruo Zhou, Jinghui Chen, Yuan Cao, Ziyan Yang, Quanquan Gu

TMLR 2024 On the Data Heterogeneity in Adaptive Federated Learning Yujia Wang, Jinghui Chen

NeurIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-Directional Preference Optimization Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen

ICLR 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen

AAAI 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-Trained Models Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

NeurIPS 2023 A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu

UAI 2023 Benign Overfitting in Adversarially Robust Linear Classification Jinghui Chen, Yuan Cao, Quanquan Gu

NeurIPS 2023 Defending Pre-Trained Language Models as Few-Shot Learners Against Backdoor Attacks Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang

ICML 2023 Graph Contrastive Backdoor Attacks Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu

NeurIPS 2023 IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

AAAI 2023 On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang, Jinghui Chen

ICLR 2023 Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin, Jinghui Chen, Hongning Wang

ICMLW 2023 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen

NeurIPS 2023 UniT: A Unified Look at Certified Robust Training Against Text Adversarial Perturbation Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma

NeurIPS 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-Trained Models Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma

AISTATS 2022 Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization Yujia Wang, Lu Lin, Jinghui Chen

NeurIPSW 2022 Accelerating Adaptive Federated Optimization with Local Gossip Communications Yujia Wang, Pei Fang, Jinghui Chen

ICML 2022 Communication-Efficient Adaptive Federated Learning Yujia Wang, Lu Lin, Jinghui Chen

AAAI 2022 Efficient Robust Training via Backward Smoothing Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

NeurIPSW 2022 How Powerful Is Implicit Denoising in Graph Neural Networks Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu

ICLR 2022 Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng, Jinghui Chen

NeurIPSW 2022 On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang, Jinghui Chen

NeurIPS 2022 One-Shot Neural Backdoor Erasing via Adversarial Weight Masking Shuwen Chai, Jinghui Chen

NeurIPSW 2022 Spectrum Guided Topology Augmentation for Graph Contrastive Learning Lu Lin, Jinghui Chen, Hongning Wang

NeurIPS 2021 Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

AAAI 2020 A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu

IJCAI 2020 Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu

AISTATS 2020 Understanding the Intrinsic Robustness of Image Distributions Using Conditional Generative Models Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans

ICML 2018 Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu

NeurIPS 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization Pan Xu, Jinghui Chen, Difan Zou, Quanquan Gu

UAI 2016 Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization Jinghui Chen, Quanquan Gu