I am an Assistant Professor in the College of Information Sciences and Technology at Penn State University. I received my Ph.D. in the Department of Computer Science, University of California, Los Angeles (UCLA) working with Prof. Quanquan Gu in 2021. I received my B.E. in the Department of Electrical Engineering and Information Science at the University of Science and Technology of China in 2015.
Prospective Students: I’m looking for highly motivated PhD/intern students to join my group. The official PhD application deadline for the Fall 2024 application cycle is Dec 15, 2023 (details). If you’re interested in joining my lab, please fill and see instructions in the following form (feel free to skip optional questions).
Research Interests: My research interests broadly include the theory and applications in different aspects of machine learning, with particular interests on building efficient and trustworthy machine learning models. Recently, we are particularly interested in the following research topics:
Full publications on Google Scholar.
E indicates authors with equal contribution. underline indicates students supervised.
Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma and Jinghui Chen, in Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024. [Paper]
Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen Bo Li, and Dawn Song, in Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024.
Jiaqi WangE, Xiaochen WangE, Lingjuan Lyu, Jinghui Chen and Fenglong Ma, in Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024. [Paper]
Xiaochen WangE, Jiaqi WangE, Houping Xiao, Jinghui Chen and Fenglong Ma, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, Florida, 2024. [Paper]
Yujia Wang, Jinghui ChenE, in Transactions on Machine Learning Research (TMLR), 2024. [Paper]
Bochuan CaoE, Yuanpu CaoE, Lu Lin, and Jinghui Chen, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, 2024. [Paper]
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen and Dinghao Wu, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, 2024. [Paper]
Yujia Wang, Shiqiang Wang, Songtao Lu and Jinghui Chen, in Proceedings of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024. [Paper]
Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik and Dinghao Wu, in Proceedings of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024. [Paper]
Yuanpu Cao, Bochuan Cao and Jinghui Chen, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, 2024. [Paper]
Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra and Jinghui Chen, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, 2024. [Paper]
Dongruo ZhouE, Jinghui ChenE, Yuan CaoE, Ziyan Yang, and Quanquan Gu, in Transactions on Machine Learning Research (TMLR), 2024. [Paper]
Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen and Jinghui Chen, in Proceedings of the 25th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024. [Paper]
Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen and Lu Lin, in Proceedings of the 25th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024. [Paper]
Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang and Fenglong Ma, in Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024. [Paper]
Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji and Ting Wang, in Proceedings of the 33rd USENIX Security Symposium (USENIX), Philadelphia, PA, USA, 2024. [Paper]
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou and Lichao Sun, in Proceedings of the 33rd USENIX Security Symposium (USENIX), Philadelphia, PA, USA, 2024. [Paper]
Tiejin ChenE, Yuanpu CaoE, Yujia WangE, Cho-Jui Hsieh, and Jinghui Chen, arXiv:2312.14380, 2023. [Paper]
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li and Jinghui Chen, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang and Fenglong Ma, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin and Dinghao Wu, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Tianyu Du, Zhaohan Xi, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma and Ting Wang, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang and Fenglong Ma, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini and Amulya Yadav, in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, 2023. [Paper]
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang and Fenglong Ma, in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, USA, 2023. [Paper]
Jinghui ChenE, Yuan CaoE, and Quanquan Gu, in Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, 2023. [Paper]
Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia and Dinghao Wu, in Proceedings of the 40th International Conference on Machine Learning (ICML), Hawaii, USA, 2023. [Paper]
Katriona Shea, ..., Jinghui Chen, ..., Michael C. Runge., in Proceedings of the National Academy of Sciences (PNAS), 2023. [Paper]
Lee, Jooyoung, Thai Le, Jinghui Chen, and Dongwon Lee, in Proceedings of the ACM Web Conference (WWW), Austin, Texas, USA, 2023. [Paper]
Lu Lin, Jinghui Chen, Hongning Wang, in Proceedings of the 11th International Conference on Learning Representations (ICLR), Kigali Rwanda, 2023. [Paper] [Code]
Pei Fang and Jinghui Chen, in Proceedings of the 37th Conference on Artificial Intelligence (AAAI), Washington DC, USA, 2023. [Paper] [Code]
Shuwen Chai and Jinghui Chen, in Proceedings of the 36th Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022. [Paper] [Code]
Yujia Wang, Pei Fang and Jinghui Chen, in International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022 (FL-NeurIPS), 2022. [Paper]
Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen and Dinghao Wu, NeurIPS 2022 Workshop on New Frontiers in Graph Learning (GLFrontiers-NeurIPS). [Paper]
Estee Y Cramer, ..., Jinghui Chen, ..., Nicholas G. Reich, Scientific Data, 9(1), pp.1-15., 2022. [Paper]
Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang and Fenglong Ma, in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, USA, 2022. [Paper]
Yujia Wang, Lu Lin and Jinghui Chen, in Proceedings of the 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, 2022. [Paper] [Code]
Estee Y Cramer, ..., Jinghui Chen, ..., Nicholas G. Reich, in Proceedings of the National Academy of Sciences (PNAS), 2022. [Paper]
Weiqi Peng and Jinghui Chen, in Proceedings of the 10th International Conference on Learning Representations (ICLR), Virtual, 2022. [Paper] [Code]
Yujia Wang, Lu Lin and Jinghui Chen, in Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), Virtual, 2022. [Paper] [Code]
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu and Jingjing Liu, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, 2022. [Paper] [Code]
Boxi WuE, Jinghui ChenE, Deng Cai, Xiaofei He and Quanquan Gu, in Proceedings of the 35th Advances in Neural Information Processing Systems (NeurIPS), Virtual, 2021. [Paper]
Difan Zou, Lingxiao Wang, Pan Xu, Jinghui Chen, Weitong Zhang and Quanquan Gu, ICLR 2021 Workshop on Machine Learning for Preventingand Combating Pandemics (MLPCP-ICLR). [Paper]
COVID-19 Forecast Hub Consortium, Jinghui Chen., medRxiv:2020.08.19.20177493, 2020. [Paper]
Jinghui Chen and Quanquan Gu, in Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, USA 2020. [Paper] [Code]
Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao and Quanquan Gu, in Proceedings of 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, 2020. [Paper] [Code]
Xiao ZhangE, Jinghui ChenE, Quanquan Gu and David Evans, in Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), Palermo, Sicily, Italy, 2020. [Paper] [Code]
Jinghui Chen, Dongruo Zhou, Jinfeng Yi and Quanquan Gu, in Proceedings of the 34th Conference on Artificial Intelligence (AAAI), New York, New York, USA, 2020. [Paper] [Code]
Pan XuE, Jinghui ChenE, Difan Zou and Quanquan Gu, in Proceedings of the 32nd Advances in Neural Information Processing Systems (NeurIPS), Montréal, Canada, 2018. [Paper]
Jinghui Chen, Pan Xu, Lingxiao Wang, Jian Ma and Quanquan Gu, in Proceedings of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018. [Paper] [Code]
Jinghui Chen and Quanquan Gu, in Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax, Nova Scotia, Canada, 2017. [Paper]
Jinghui Chen, Lingxiao Wang, Xiao Zhang, and Quanquan Gu, arXiv:1704.06256, 2017. [Paper]
Jinghui Chen, Saket Sathe, Charu Aggarwal, and Deepak Turaga, in Proceedings of the 17th SIAM International Conference on Data Mining (SDM), Houston, Texas, USA, 2017. [Paper]
Jinghui Chen and Quanquan Gu, in Proceedings of the 32th International Conference on Uncertainty in Artificial Intelligence (UAI), New York, USA, 2016. [Paper]
Florian Baumann, Jinghui Chen, Karsten Vogt and Bodo Rosenhahn, in Proceedings of the 12th Conference on Computer and Robot Vision (CRV), Halifax, Nova Scotia, Canada, 2015. [Paper]
Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma and Jinghui Chen, in Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024. [Paper]
Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen Bo Li, and Dawn Song, in Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024.
Jiaqi WangE, Xiaochen WangE, Lingjuan Lyu, Jinghui Chen and Fenglong Ma, in Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024. [Paper]
Xiaochen WangE, Jiaqi WangE, Houping Xiao, Jinghui Chen and Fenglong Ma, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, Florida, 2024. [Paper]
Yujia Wang, Jinghui ChenE, in Transactions on Machine Learning Research (TMLR), 2024. [Paper]
Bochuan CaoE, Yuanpu CaoE, Lu Lin, and Jinghui Chen, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, 2024. [Paper]
Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen and Dinghao Wu, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, 2024. [Paper]
Yujia Wang, Shiqiang Wang, Songtao Lu and Jinghui Chen, in Proceedings of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024. [Paper]
Songtao Liu, Jinghui Chen, Tianfan Fu, Lu Lin, Marinka Zitnik and Dinghao Wu, in Proceedings of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024. [Paper]
Yuanpu Cao, Bochuan Cao and Jinghui Chen, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, 2024. [Paper]
Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra and Jinghui Chen, in Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, 2024. [Paper]
Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen and Jinghui Chen, in Proceedings of the 25th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024. [Paper]
Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen and Lu Lin, in Proceedings of the 25th International Conference on Learning Representations (ICLR), Vienna, Austria, 2024. [Paper]
Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang and Fenglong Ma, in Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024. [Paper]
Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji and Ting Wang, in Proceedings of the 33rd USENIX Security Symposium (USENIX), Philadelphia, PA, USA, 2024. [Paper]
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou and Lichao Sun, in Proceedings of the 33rd USENIX Security Symposium (USENIX), Philadelphia, PA, USA, 2024. [Paper]
Tiejin ChenE, Yuanpu CaoE, Yujia WangE, Cho-Jui Hsieh, and Jinghui Chen, arXiv:2312.14380, 2023. [Paper]
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li and Jinghui Chen, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang and Fenglong Ma, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Hangfan Zhang, Jinyuan Jia, Jinghui Chen, Lu Lin and Dinghao Wu, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Tianyu Du, Zhaohan Xi, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma and Ting Wang, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang and Fenglong Ma, in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, 2023. [Paper]
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini and Amulya Yadav, in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, UK, 2023. [Paper]
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang and Fenglong Ma, in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, USA, 2023. [Paper]
Jinghui ChenE, Yuan CaoE, and Quanquan Gu, in Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, 2023. [Paper]
Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia and Dinghao Wu, in Proceedings of the 40th International Conference on Machine Learning (ICML), Hawaii, USA, 2023. [Paper]
Lee, Jooyoung, Thai Le, Jinghui Chen, and Dongwon Lee, in Proceedings of the ACM Web Conference (WWW), Austin, Texas, USA, 2023. [Paper]
Lu Lin, Jinghui Chen, Hongning Wang, in Proceedings of the 11th International Conference on Learning Representations (ICLR), Kigali Rwanda, 2023. [Paper] [Code]
Pei Fang and Jinghui Chen, in Proceedings of the 37th Conference on Artificial Intelligence (AAAI), Washington DC, USA, 2023. [Paper] [Code]
Shuwen Chai and Jinghui Chen, in Proceedings of the 36th Advances in Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, 2022. [Paper] [Code]
Yujia Wang, Pei Fang and Jinghui Chen, in International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022 (FL-NeurIPS), 2022. [Paper]
Songtao Liu, Zhitao Ying, Hanze Dong, Lu Lin, Jinghui Chen and Dinghao Wu, NeurIPS 2022 Workshop on New Frontiers in Graph Learning (GLFrontiers-NeurIPS). [Paper]
Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang and Fenglong Ma, in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Washington DC, USA, 2022. [Paper]
Yujia Wang, Lu Lin and Jinghui Chen, in Proceedings of the 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, 2022. [Paper] [Code]
Weiqi Peng and Jinghui Chen, in Proceedings of the 10th International Conference on Learning Representations (ICLR), Virtual, 2022. [Paper] [Code]
Yujia Wang, Lu Lin and Jinghui Chen, in Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), Virtual, 2022. [Paper] [Code]
Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu and Jingjing Liu, In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, 2022. [Paper] [Code]
Boxi WuE, Jinghui ChenE, Deng Cai, Xiaofei He and Quanquan Gu, in Proceedings of the 35th Advances in Neural Information Processing Systems (NeurIPS), Virtual, 2021. [Paper]
The research of our lab is focused on different aspects of machine learning (efficiency, robustness, interpretability, responsibility, trustworthiness) and their applications in computer vision, graph learning, anomaly detection, cybersecurity, recommendation systems, computational genomics, etc. Some of our current research projects are: