Clustering Spatial Data with Obstacles Constraints by PSO. - Xueping Zhang; Fen Qin; Jiayao Wang; Yongheng Fu; Jinghui Chen (FSKD (3), 2007)

The study of network layer topology discovery algorithm for optimization problem based on SNMP. - Xiaoping Li; Jinghui Chen; Yinxing Li; Qiong Xu (NCM, 2010)

Depth map compression via edge-based inpainting. - Jinghui Chen; Feng Ye; Jinhong Di; Chun Liu; Aidong Men (PCS, 2012)

Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. - Florian Baumann; Jinghui Chen; Karsten Vogt; Bodo Rosenhahn (CRV, 2015)

Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization. - Jinghui Chen; Quanquan Gu (UAI, 2016)

Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization. - Jinghui Chen; Quanquan Gu (KDD, 2017)

Outlier Detection with Autoencoder Ensembles. - Jinghui Chen; Saket Sathe 001; Charu C. Aggarwal; Deepak S. Turaga (SDM, 2017)

Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. - Jinghui Chen; Lingxiao Wang 001; Xiao Zhang 016; Quanquan Gu (CoRR, 2017)

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization. - Pan Xu 002; Jinghui Chen; Quanquan Gu (CoRR, 2017)

Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. - Jinghui Chen; Pan Xu 002; Lingxiao Wang 001; Jian Ma 004; Quanquan Gu (ICML, 2018)

How do practitioners perceive assurance cases in safety-critical software systems? - Jinghui Chen; Micayla Goodrum; Ronald A. Metoyer; Jane Cleland-Huang (CHASE@ICSE, 2018)

Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization. - Pan Xu 002; Jinghui Chen; Difan Zou; Quanquan Gu (NeurIPS, 2018)

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. - Jinghui Chen; Quanquan Gu (CoRR, 2018)

A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. - Jinghui Chen; Jinfeng Yi; Quanquan Gu (CoRR, 2018)

A method for indoor Wi-Fi location based on improved back propagation neural network. - Jinghui Chen; Chen Dong 002; Guorong He; Xiaoyu Zhang (Turkish J. Electr. Eng. Comput. Sci., 2019)

A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things. - Chen Dong 002; Jinghui Chen; Wenzhong Guo; Jian Zou (Int. J. Distributed Sens. Networks, 2019)

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

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. - Xiao Zhang 016; Jinghui Chen; Quanquan Gu; David Evans 001 (AISTATS, 2020)

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. - Jinghui Chen; Dongruo Zhou; Yiqi Tang; Ziyan Yang; Yuan Cao 006; Quanquan Gu (IJCAI, 2020)

RayS: A Ray Searching Method for Hard-label Adversarial Attack. - Jinghui Chen; Quanquan Gu (KDD, 2020)

An Unsupervised Detection Approach for Hardware Trojans. - Chen Dong 002; Yulin Liu; Jinghui Chen; Ximeng Liu; Wenzhong Guo; Yuzhong Chen (IEEE Access, 2020)

Does Network Width Really Help Adversarial Robustness? - Boxi Wu; Jinghui Chen; Deng Cai 001; Xiaofei He 001; Quanquan Gu (CoRR, 2020)

Do Wider Neural Networks Really Help Adversarial Robustness? - Boxi Wu; Jinghui Chen; Deng Cai 001; Xiaofei He 001; Quanquan Gu (NeurIPS, 2021)

Evaluating and Understanding Adversarial Robustness in Deep Learning. - Jinghui Chen (2021)

Efficient Robust Training via Backward Smoothing. - Jinghui Chen; Yu Cheng 001; Zhe Gan; Quanquan Gu; Jingjing Liu 001 (AAAI, 2022)

Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. - Yujia Wang; Lu Lin 001; Jinghui Chen (AISTATS, 2022)

Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. - Weiqi Peng; Jinghui Chen (ICLR, 2022)

Communication-Efficient Adaptive Federated Learning. - Yujia Wang; Lu Lin 001; Jinghui Chen (ICML, 2022)

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. - Muchao Ye; Jinghui Chen; Chenglin Miao; Ting Wang 006; Fenglong Ma (KDD, 2022)

One-shot Neural Backdoor Erasing via Adversarial Weight Masking. - Shuwen Chai; Jinghui Chen (NeurIPS, 2022)

RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. - Hangzhi Guo; Feiran Jia; Jinghui Chen; Anna Cinzia Squicciarini; Amulya Yadav (CoRR, 2022)

How Powerful is Implicit Denoising in Graph Neural Networks. - Songtao Liu; Rex Ying; Hanze Dong; Lu Lin 001; Jinghui Chen; Dinghao Wu (CoRR, 2022)

On the Vulnerability of Backdoor Defenses for Federated Learning. - Pei Fang; Jinghui Chen (AAAI, 2023)

RoCourseNet: Robust Training of a Prediction Aware Recourse Model. - Hangzhi Guo; Feiran Jia; Jinghui Chen; Anna Cinzia Squicciarini; Amulya Yadav (CIKM, 2023)

Spectral Augmentation for Self-Supervised Learning on Graphs. - Lu Lin 001; Jinghui Chen; Hongning Wang (ICLR, 2023)

Graph Contrastive Backdoor Attacks. - Hangfan Zhang; Jinghui Chen; Lu Lin 001; Jinyuan Jia 001; Dinghao Wu (ICML, 2023)

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. - Muchao Ye; Jinghui Chen; Chenglin Miao; Han Liu 008; Ting Wang 006; Fenglong Ma (KDD, 2023)

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Tianyu Du; Jinguo Zhu; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (NeurIPS, 2023)

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. - Bochuan Cao; Changjiang Li; Ting Wang 006; Jinyuan Jia 001; Bo Li 026; Jinghui Chen (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 006 (NeurIPS, 2023)

UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. - Muchao Ye; Ziyi Yin 003; Tianrong Zhang; Tianyu Du; Jinghui Chen; Ting Wang 006; Fenglong Ma (NeurIPS, 2023)

A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. - Hangfan Zhang; Jinyuan Jia 001; Jinghui Chen; Lu Lin 001; Dinghao Wu (NeurIPS, 2023)

Benign Overfitting in Adversarially Robust Linear Classification. - Jinghui Chen; Yuan Cao 006; Quanquan Gu (UAI, 2023)

Do Language Models Plagiarize? - Jooyoung Lee; Thai Le; Jinghui Chen; Dongwon Lee 001 (WWW, 2023)

On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? - Hangfan Zhang; Zhimeng Guo; Huaisheng Zhu; Bochuan Cao; Lu Lin 001; Jinyuan Jia 001; Jinghui Chen; Dinghao Wu (CoRR, 2023)

Federated Learning with Projected Trajectory Regularization. - Tiejin Chen; Yuanpu Cao; Yujia Wang; Cho-Jui Hsieh; Jinghui Chen (CoRR, 2023)

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Jiaqi Wang 002; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (AAAI, 2024)

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. - Bochuan Cao; Yuanpu Cao; Lu Lin 001; Jinghui Chen (ACL (1), 2024)

Jailbreak Open-Sourced Large Language Models via Enforced Decoding. - Hangfan Zhang; Zhimeng Guo; Huaisheng Zhu; Bochuan Cao; Lu Lin 001; Jinyuan Jia 001; Jinghui Chen; Dinghao Wu (ACL (1), 2024)

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. - Xiaochen Wang 002; Jiaqi Wang 002; Houping Xiao; Jinghui Chen; Fenglong Ma (EMNLP, 2024)

Backdoor Contrastive Learning via Bi-level Trigger Optimization. - Weiyu Sun; Xinyu Zhang; Hao Lu 009; Ying-Cong Chen; Ting Wang; Jinghui Chen; Lu Lin 001 (ICLR, 2024)

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

Graph Adversarial Diffusion Convolution. - Songtao Liu; Jinghui Chen; Tianfan Fu; Lu Lin 001; Marinka Zitnik; Dinghao Wu (ICML, 2024)

FADAS: Towards Federated Adaptive Asynchronous Optimization. - Yujia Wang; Shiqiang Wang; Songtao Lu; Jinghui Chen (ICML, 2024)

Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. - Yuanpu Cao; Bochuan Cao; Jinghui Chen (NAACL-HLT, 2024)

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. - Tianrong Zhang; Zhaohan Xi; Ting Wang; Prasenjit Mitra; Jinghui Chen (NAACL-HLT, 2024)

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. - Jiaqi Wang 002; Xiaochen Wang 002; Lingjuan Lyu; Jinghui Chen; Fenglong Ma (NeurIPS, 2024)

Data Free Backdoor Attacks. - Bochuan Cao; Jinyuan Jia 001; Chuxuan Hu; Wenbo Guo 002; Zhen Xiang; Jinghui Chen; Bo Li 026; Dawn Song (NeurIPS, 2024)

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. - Yuanpu Cao; Tianrong Zhang; Bochuan Cao; Ziyi Yin 003; Lu Lin 001; Fenglong Ma; Jinghui Chen (NeurIPS, 2024)

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. - Changjiang Li; Ren Pang; Bochuan Cao; Zhaohan Xi; Jinghui Chen; Shouling Ji; Ting Wang 006 (USENIX Security Symposium, 2024)

Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? - Yuanxin Zhuang; Chuan Shi 001; Mengmei Zhang; Jinghui Chen; Lingjuan Lyu; Pan Zhou 001; Lichao Sun 001 (USENIX Security Symposium, 2024)

XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution. - Yurui Chang; Bochuan Cao; Yujia Wang; Jinghui Chen; Lu Lin 001 (CoRR, 2024)

PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. - Tianrong Zhang; Zhaohan Xi; Ting Wang 006; Prasenjit Mitra; Jinghui Chen (CoRR, 2024)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. - Changjiang Li; Ren Pang; Bochuan Cao; Jinghui Chen; Fenglong Ma; Shouling Ji; Ting Wang 006 (CoRR, 2024)

Adversarially Robust Industrial Anomaly Detection Through Diffusion Model. - Yuanpu Cao; Lu Lin; Jinghui Chen (CoRR, 2024)

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models. - Yaopei Zeng; Yuanpu Cao; Bochuan Cao; Yurui Chang; Jinghui Chen; Lu Lin 001 (CoRR, 2024)

Analyzing political party positions through multi-language twitter text embeddings. - Jinghui Chen; Takayuki Mizuno; Shohei Doi (Frontiers Big Data, 2024)

Challenges of COVID-19 Case Forecasting in the US, 2020-2021. - Velma K. Lopez; Estee Y. Cramer; Robert Pagano; John M. Drake; Eamon B. O'Dea; Madeline Adee; Turgay Ayer; Jagpreet Chhatwal; Ozden O. Dalgic; Mary A. Ladd; Benjamin P. Linas; Peter P. Mueller; et al. (PLoS Comput. Biol., 2024)

On the Data Heterogeneity in Adaptive Federated Learning. - Yujia Wang; Jinghui Chen (Trans. Mach. Learn. Res., 2024)

On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization. - Dongruo Zhou; Jinghui Chen; Yuan Cao 006; Ziyan Yang; Quanquan Gu (Trans. Mach. Learn. Res., 2024)

Deter-Pay: A Deterministic Routing Protocol in Concurrent Payment Channel Network. - Qingqing Cai; Jinghui Chen; Deyu Luo; Gang Sun 001; Hongfang Yu; Mohsen Guizani (IEEE Internet Things J., 2024)

Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. - Ziyi Yin 003; Muchao Ye; Yuanpu Cao; Jiaqi Wang 002; Aofei Chang; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (ACL (Findings), 2025)

JoPA: Explaining Large Language Model's Generation via Joint Prompt Attribution. - Yurui Chang; Bochuan Cao; Yujia Wang; Jinghui Chen; Lu Lin 001 (ACL (1), 2025)

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. - Jooyoung Lee; Toshini Agrawal; Adaku Uchendu; Thai Le; Jinghui Chen; Dongwon Lee 001 (NAACL (Long Papers), 2025)

WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. - Tianrong Zhang; Bochuan Cao; Yuanpu Cao; Lu Lin 001; Prasenjit Mitra; Jinghui Chen (NAACL (Findings), 2025)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks. - Ziyi Yin 003; Yuanpu Cao; Han Liu 008; Ting Wang 006; Jinghui Chen; Fenhlong Ma (CoRR, 2025)

TruthFlow: Truthful LLM Generation via Representation Flow Correction. - Hanyu Wang; Bochuan Cao; Yuanpu Cao; Jinghui Chen (CoRR, 2025)

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

Your Agent Can Defend Itself against Backdoor Attacks. - Changjiang Li; Jiacheng Liang; Bochuan Cao; Jinghui Chen; Ting Wang 006 (CoRR, 2025)

CRP: A Cluster-Based Routing Protocol for Lightweight Nodes in Payment Channel Networks. - Jinghui Chen; Qingqing Cai; Gang Sun 001; Hongfang Yu; Dusit Niyato (IEEE Trans. Netw. Serv. Manag., 2025)