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Li is currently an Associate Professor at the School of Computing and Informatics, University of Louisiana at ɫ��AV. She received her Ph.D. degree from the Department of Electrical and Computer Engineering at the University of Toronto in 2018, after six years of graduate study in the iQua research group under the supervision of Prof. Baochun Li, where she also received her M.A.Sc. degree in January 2015. She visited the Hong Kong Polytechnic University from 2013 to 2014 for 8 months. In July 2012, she received her B.Eng degree from the Department of Computer Science and Technology, Huazhong University of Science and Technology.

During her graduate years in iQua, Li has studied interesting research problems related to resource allocation and performance optimization in the era of cloud computing and machine learning, with the constraints of fairness. She is interested in applying theoretical tools to study real problems and deriving insights to guide the design of a practical system. She won the award of best paper candidate for the paper published in IEEE IC2E 2016, the award of best-in-session presentation for the presentation of her work in IEEE INFOCOM 2016, and the student travel grant from USENIX ATC 2018.

In her spare time, she enjoys music, reading, hiking and traveling, to explore and appreciate the beauty of life.

Ph.D., 2018
University of Toronto

M.A.Sc., 2015 
University of Toronto

Bachelor's Degree, 2012
Huazhong University of Science and Technology

• Big Data Analytics
• Machine Learning Systems
• Resource Allocation
• Cloud Computing

• Jiadong Lou, Wenxin Rong, Li Chen, Xing Gao, Rui Zhang, Xu Yuan. “DataGuard: A Non-intrusive Dataset Auditing Framework via Differential ɫ��AVensics,” in the Proceedings of the 43rd International Conference on Machine Learning (ICML), Seoul, South Korea, July 6-11, 2026.
• Sanjeev Panta, Rhett M Morvant, Xu Yuan, Li Chen, Nian-Feng Tzeng. “M3R: Localized Rainfall Nowcasting with Meteorology-Informed MultiModal Attention,” in the Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), Bangkok, Thailand, July 5-9, 2026.
• Lingxuan Weng, Fei Xu, Xudong Wu, Xinyi Zhang, Li Chen, Zhi Zhou. “Cappuccino: Cost-Efficient Heterogeneous LoRA Fine-tuning via Replica-Level Orchestration,” in the Proceedings of the IEEE International Conference on Distributed Computing Systems (ICDCS), Seoul, South Korea, June 22-25, 2026.
• Sanjeev Panta, Xu Yuan, Li Chen, Nian-Feng Tzeng. “Revisiting the Seasonal Trend Decomposition for Enhanced Time Series Forecasting,” in the Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2026.
• Md Sirajul Islam, Isabelle G Chapman, N I Md Ashafuddula, Xu Yuan, Li Chen, Nian-Feng Tzeng, Klara Nahrstedt. “FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources,” in the Proceedings of the 40th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2026), New Orleans, USA, May 25-29, 2026.