Jinghui Chen - RankMe

122 papers A* 38A 6C 1Journal 64Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved block rearrangement algorithm. Ann. Oper. Res. Carole Bernard, Jinghui Chen, Ludger Rüschendorf, Steven Vanduffel
2026	J	`jnl`	Joint Energy-Efficient Task Scheduling and Trajectory Optimization for Multi-UAV MEC Networks in Low-Altitude Economy. IEEE Trans. Cogn. Commun. Netw. Zhiying Wang, Jinghui Chen, Gang Sun, Hongfang Yu, Mohsen Guizani
2026	J	`jnl`	ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models. Trans. Mach. Learn. Res. Yujia Wang, Yuanpu Cao, Jinghui Chen
2026	J	`jnl`	PreFlect: From Retrospective to Prospective Reflection in Large Language Model Agents. CoRR Hanyu Wang, Yuanpu Cao, Lu Lin, Jinghui Chen
2025	A*	`conf`	AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models. ICML Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin
2025	J	`jnl`	AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections. CoRR Xin Yu, Yujia Wang, Jinghui Chen, Lingzhou Xue
2025	J	`jnl`	CRP: A Cluster-Based Routing Protocol for Lightweight Nodes in Payment Channel Networks. IEEE Trans. Netw. Serv. Manag. Jinghui Chen, Qingqing Cai, Gang Sun, Hongfang Yu, Dusit Niyato
2025	—	`conf`	JoPA: Explaining Large Language Model's Generation via Joint Prompt Attribution. ACL (1) Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin
2025	J	`jnl`	ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models. CoRR Yujia Wang, Yuanpu Cao, Jinghui Chen
2025	A*	`conf`	Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. EMNLP Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen
2025	J	`jnl`	Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time. CoRR Yifan Lan, Yuanpu Cao, Weitong Zhang, Lu Lin, Jinghui Chen
2025	—	`conf`	PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. NAACL (Long Papers) Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
2025	—	`conf`	Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. ACL (Findings) Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2025	J	`jnl`	Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning. CoRR Yujia Wang, Fenglong Ma, Jinghui Chen
2025	J	`jnl`	TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization. CoRR Yanting Wang, Runpeng Geng, Jinghui Chen, Minhao Cheng, Jinyuan Jia
2025	J	`jnl`	Towards Robust Multimodal Large Language Models Against Jailbreak Attacks. CoRR Ziyi Yin, Yuanpu Cao, Han Liu, Ting Wang, Jinghui Chen, Fenhlong Ma
2025	J	`jnl`	Transaction Scheduling Optimization With Bi-Directional Coordination in Payment Channels. IEEE Trans. Netw. Serv. Manag. Qingqing Cai, Jinghui Chen, Tingxuan Su, Gang Sun, Hongfang Yu, Dusit Niyato
2025	A*	`conf`	TruthFlow: Truthful LLM Generation via Representation Flow Correction. ICML Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen
2025	J	`jnl`	TruthFlow: Truthful LLM Generation via Representation Flow Correction. CoRR Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen
2025	A*	`conf`	Watch the Watchers! On the Security Risks of Robustness-Enhancing Diffusion Models. USENIX Security Symposium Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
2025	—	`conf`	WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. NAACL (Findings) Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen
2025	A*	`conf`	You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors. CCS Bochuan Cao, Changjiang Li, Yuanpu Cao, Yameng Ge, Ting Wang, Jinghui Chen
2025	J	`jnl`	You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors. CoRR Bochuan Cao, Changjiang Li, Yuanpu Cao, Yameng Ge, Ting Wang, Jinghui Chen
2025	J	`jnl`	Your Agent Can Defend Itself against Backdoor Attacks. CoRR Changjiang Li, Jiacheng Liang, Bochuan Cao, Jinghui Chen, Ting Wang
2024	J	`jnl`	AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models. CoRR Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin
2024	J	`jnl`	Adversarially Robust Industrial Anomaly Detection Through Diffusion Model. CoRR Yuanpu Cao, Lu Lin, Jinghui Chen
2024	J	`jnl`	Analyzing political party positions through multi-language twitter text embeddings. Frontiers Big Data Jinghui Chen, Takayuki Mizuno, Shohei Doi
2024	A*	`conf`	Backdoor Contrastive Learning via Bi-level Trigger Optimization. ICLR Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin
2024	J	`jnl`	Backdoor Contrastive Learning via Bi-level Trigger Optimization. CoRR Weiyu Sun, Xinyu Zhang, Hao Lu, Yingcong Chen, Ting Wang, Jinghui Chen, Lu Lin
2024	J	`jnl`	Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS Comput. Biol. 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, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024	A*	`conf`	Data Free Backdoor Attacks. NeurIPS Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	J	`jnl`	Data Free Backdoor Attacks. CoRR Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	—	`conf`	Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. ACL (1) Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen
2024	J	`jnl`	Deter-Pay: A Deterministic Routing Protocol in Concurrent Payment Channel Network. IEEE Internet Things J. Qingqing Cai, Jinghui Chen, Deyu Luo, Gang Sun, Hongfang Yu, Mohsen Guizani
2024	A*	`conf`	FADAS: Towards Federated Adaptive Asynchronous Optimization. ICML Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen
2024	J	`jnl`	FADAS: Towards Federated Adaptive Asynchronous Optimization. CoRR Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen
2024	A*	`conf`	FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. EMNLP Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. CoRR Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024	A*	`conf`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. NeurIPS Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. CoRR Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	A*	`conf`	Graph Adversarial Diffusion Convolution. ICML Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu
2024	J	`jnl`	Graph Adversarial Diffusion Convolution. CoRR Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik, Dinghao Wu
2024	—	`conf`	Jailbreak Open-Sourced Large Language Models via Enforced Decoding. ACL (1) Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2024	J	`jnl`	On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization. Trans. Mach. Learn. Res. Dongruo Zhou, Jinghui Chen, Yuan Cao, Ziyan Yang, Quanquan Gu
2024	J	`jnl`	On the Data Heterogeneity in Adaptive Federated Learning. Trans. Mach. Learn. Res. Yujia Wang, Jinghui Chen
2024	A*	`conf`	On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. USENIX Security Symposium Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang
2024	A*	`conf`	Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. NeurIPS Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
2024	J	`jnl`	Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
2024	J	`jnl`	PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection. CoRR Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
2024	—	`conf`	PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. NAACL-HLT Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen
2024	J	`jnl`	PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. CoRR Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen
2024	—	`conf`	Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. NAACL-HLT Yuanpu Cao, Bochuan Cao, Jinghui Chen
2024	A*	`conf`	Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration. ICLR Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen
2024	A*	`conf`	Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
2024	A*	`conf`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	J	`jnl`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	J	`jnl`	Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
2024	J	`jnl`	WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response. CoRR Tianrong Zhang, Bochuan Cao, Yuanpu Cao, Lu Lin, Prasenjit Mitra, Jinghui Chen
2024	J	`jnl`	XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution. CoRR Yurui Chang, Bochuan Cao, Yujia Wang, Jinghui Chen, Lu Lin
2023	A*	`conf`	A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning. NeurIPS Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin, Dinghao Wu
2023	A	`conf`	Benign Overfitting in Adversarially Robust Linear Classification. UAI Jinghui Chen, Yuan Cao, Quanquan Gu
2023	J	`jnl`	Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. CoRR Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen
2023	A*	`conf`	Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
2023	J	`jnl`	Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
2023	A*	`conf`	Do Language Models Plagiarize? WWW Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
2023	J	`jnl`	Federated Learning with Projected Trajectory Regularization. CoRR Tiejin Chen, Yuanpu Cao, Yujia Wang, Cho-Jui Hsieh, Jinghui Chen
2023	A*	`conf`	Graph Contrastive Backdoor Attacks. ICML Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu
2023	A*	`conf`	IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
2023	J	`jnl`	IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
2023	J	`jnl`	On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. CoRR Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang
2023	J	`jnl`	On the Safety of Open-Sourced Large Language Models: Does Alignment Really Prevent Them From Being Misused? CoRR Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu
2023	A*	`conf`	On the Vulnerability of Backdoor Defenses for Federated Learning. AAAI Pei Fang, Jinghui Chen
2023	J	`jnl`	On the Vulnerability of Backdoor Defenses for Federated Learning. CoRR Pei Fang, Jinghui Chen
2023	A*	`conf`	PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
2023	A	`conf`	RoCourseNet: Robust Training of a Prediction Aware Recourse Model. CIKM Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
2023	A*	`conf`	Spectral Augmentation for Self-Supervised Learning on Graphs. ICLR Lu Lin, Jinghui Chen, Hongning Wang
2023	J	`jnl`	Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. CoRR Yuanpu Cao, Bochuan Cao, Jinghui Chen
2023	A*	`conf`	UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma
2023	A*	`conf`	VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2023	J	`jnl`	VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2022	A	`conf`	Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. AISTATS Yujia Wang, Lu Lin, Jinghui Chen
2022	A*	`conf`	Communication-Efficient Adaptive Federated Learning. ICML Yujia Wang, Lu Lin, Jinghui Chen
2022	J	`jnl`	Communication-Efficient Adaptive Federated Learning. CoRR Yujia Wang, Lu Lin, Jinghui Chen
2022	J	`jnl`	Do Language Models Plagiarize? CoRR Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee
2022	A*	`conf`	Efficient Robust Training via Backward Smoothing. AAAI Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
2022	J	`jnl`	How Powerful is Implicit Denoising in Graph Neural Networks. CoRR Songtao Liu, Rex Ying, Hanze Dong, Lu Lin, Jinghui Chen, Dinghao Wu
2022	A*	`conf`	LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma
2022	A*	`conf`	Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. ICLR Weiqi Peng, Jinghui Chen
2022	J	`jnl`	Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations. CoRR Weiqi Peng, Jinghui Chen
2022	A*	`conf`	One-shot Neural Backdoor Erasing via Adversarial Weight Masking. NeurIPS Shuwen Chai, Jinghui Chen
2022	J	`jnl`	One-shot Neural Backdoor Erasing via Adversarial Weight Masking. CoRR Shuwen Chai, Jinghui Chen
2022	J	`jnl`	RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. CoRR Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
2022	J	`jnl`	Spectral Augmentation for Self-Supervised Learning on Graphs. CoRR Lu Lin, Jinghui Chen, Hongning Wang
2021	J	`jnl`	Benign Overfitting in Adversarially Robust Linear Classification. CoRR Jinghui Chen, Yuan Cao, Quanquan Gu
2021	J	`jnl`	Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization. CoRR Yujia Wang, Lu Lin, Jinghui Chen
2021	A*	`conf`	Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
2021	—	`—`	Evaluating and Understanding Adversarial Robustness in Deep Learning. Jinghui Chen
2020	A*	`conf`	A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. AAAI Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu
2020	J	`jnl`	An Unsupervised Detection Approach for Hardware Trojans. IEEE Access Chen Dong, Yulin Liu, Jinghui Chen, Ximeng Liu, Wenzhong Guo, Yuzhong Chen
2020	A*	`conf`	Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. IJCAI Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu
2020	J	`jnl`	Does Network Width Really Help Adversarial Robustness? CoRR Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
2020	J	`jnl`	Efficient Robust Training via Backward Smoothing. CoRR Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu
2020	A*	`conf`	RayS: A Ray Searching Method for Hard-label Adversarial Attack. KDD Jinghui Chen, Quanquan Gu
2020	J	`jnl`	RayS: A Ray Searching Method for Hard-label Adversarial Attack. CoRR Jinghui Chen, Quanquan Gu
2020	A	`conf`	Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. AISTATS Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
2020	J	`jnl`	Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. CoRR Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans
2019	J	`jnl`	A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things. Int. J. Distributed Sens. Networks Chen Dong, Jinghui Chen, Wenzhong Guo, Jian Zou
2019	J	`jnl`	A method for indoor Wi-Fi location based on improved back propagation neural network. Turkish J. Electr. Eng. Comput. Sci. Jinghui Chen, Chen Dong, Guorong He, Xiaoyu Zhang
2018	J	`jnl`	A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks. CoRR Jinghui Chen, Jinfeng Yi, Quanquan Gu
2018	J	`jnl`	Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks. CoRR Jinghui Chen, Quanquan Gu
2018	A*	`conf`	Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization. ICML Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma, Quanquan Gu
2018	A*	`conf`	Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization. NeurIPS Pan Xu, Jinghui Chen, Difan Zou, Quanquan Gu
2018	—	`conf`	How do practitioners perceive assurance cases in safety-critical software systems? CHASE@ICSE Jinghui Chen, Micayla Goodrum, Ronald A. Metoyer, Jane Cleland-Huang
2017	A*	`conf`	Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization. KDD Jinghui Chen, Quanquan Gu
2017	J	`jnl`	Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization. CoRR Pan Xu, Jinghui Chen, Quanquan Gu
2017	A	`conf`	Outlier Detection with Autoencoder Ensembles. SDM Jinghui Chen, Saket Sathe, Charu C. Aggarwal, Deepak S. Turaga
2017	J	`jnl`	Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. CoRR Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu
2016	A	`conf`	Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization. UAI Jinghui Chen, Quanquan Gu
2015	—	`conf`	Improved Threshold Selection by Using Calibrated Probabilities for Random Forest Classifiers. CRV Florian Baumann, Jinghui Chen, Karsten Vogt, Bodo Rosenhahn
2012	C	`conf`	Depth map compression via edge-based inpainting. PCS Jinghui Chen, Feng Ye, Jinhong Di, Chun Liu, Aidong Men
2010	—	`conf`	The study of network layer topology discovery algorithm for optimization problem based on SNMP. NCM Xiaoping Li, Jinghui Chen, Yinxing Li, Qiong Xu
2007	—	`conf`	Clustering Spatial Data with Obstacles Constraints by PSO. FSKD (3) Xueping Zhang, Fen Qin, Jiayao Wang, Yongheng Fu, Jinghui Chen