Xin Li

About

Prof. Xin Li received the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2005, and the M.S. and B.S. degrees in Electronics Engineering from Fudan University, Shanghai, China, in 2001 and 1998, respectively. In 2005, he co-founded Xigmix Inc. to commercialize his PhD research, and served as the Chief Technical Officer until the company was acquired by Extreme DA in 2007. In 2011, Extreme DA was further acquired by Synopsis (Nasdaq: SNPS). From 2009 to 2012, he was the Assistant Director for FCRP Focus Research Center for Circuit & System Solutions (C2S2), a national consortium of 13 research universities (CMU, MIT, Stanford, Berkeley, UIUC, UMich, Columbia, UCLA, among others) chartered by the U.S. semiconductor industry an

Education

• MR Fudan University (China), 2001
• Ph.D. Carnegie Mellon University, 2005
• Professor in the Department of Electrical and Computer Engineering
• Associate Vice Chancellor for Graduate Studies and Research at Duke Kunshan University
• Professor of Electrical and Computer Engineering at Duke Kunshan University

Selected publications

• Cao T, Tao J, Sham CW, Li X. Efficient Zero-shot Wafer Classification Method based on the Large Multi-modal Model. IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems. 2026 Jan 1;
• Wang D, Zhou Z, Hu Q, Li X, Yang C. Label-free Anomaly Detection in Cardiovascular Signals with Persistence-informed Multi-instance Learning. IEEE Journal of Biomedical and Health Informatics. 2026 Jan 1;
• Guo N, Tao J, Zeng X, Li X. Robust analog/RF circuit design via Cycle-Consistent Generative Adversarial Networks. Integration. 2025 Nov 1;105.
• Zhou S, Xiao L, Li X, Bei J, Chang P. Fine-Grained Sentiment Analysis through Aesthetic Caption Fusion and Semantic Filtering. In: Mcge 2025 Proceedings of the 3rd International Workshop on Multimedia Content Generation and Evaluation New Methods and Practice Co Located with mm 2025. 2025. p. 54u201362.
• Liu Z, Zhang Z, Li X, Wu X, Xue M. Decomposition and Foresight: Comparing Human and Simulated Teacher in Preference-Based Reinforcement Learning. In: Mcge 2025 Proceedings of the 3rd International Workshop on Multimedia Content Generation and Evaluation New Methods and Practice Co Located with mm 2025. 2025. p. 45u201353.
• Lu T, Deng W, Liu G, Zhai X, Yu C, Wan J, et al. Battery lifetime prediction considering domain-variate error. Integration. 2025 Sep 1;104.
• Zhai X, Liu G, Lu T, Chen S, Liu Y, Wan J, et al. Transforming waste to value: Enhancing battery lifetime prediction using incomplete data samples. Journal of Energy Chemistry. 2025 Jul 1;106:642u20139.
• Zhai X, Liu G, Lu T, Liu Y, Wan J, Li X. Leveraging multi-view imputation strategy for robust battery lifetime prediction under missing-data scenarios. Energy Storage Materials. 2025 Jun 1;79.
• Zhao S, Huang Y, He X, Tong X, Li X, Wu D. Reviving Mural Art through Generative AI: A Comparative Study of AI-Generated and Hand-Crafted Recreations. In: Conference on Human Factors in Computing Systems Proceedings. 2025.
• Yu C, Lu T, Liu G, Zhai X, Deng W, Wan J, et al. Dimensional-noise-aware battery lifetime prediction via an EM-TLS framework. Progress in Natural Science Materials International. 2025 Feb 1;35(1):146u201355.