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Career

· Lecturer, University of California, Berkeley2023–2025
· Graduate Student Instructor, University of California, Berkeley2021–2021
· Ph.D. Candidate in Transportation Engineering and M.S. Candidate in Electrical Engineering and Computer Sciences, University of California, Berkeley2021–
· M.S. in Transportation Engineering, University of California, Berkeley2018–2020
· Minor in Law, Fudan University2015–2017
· B.S. in Transportation Engineering, Tongji University2014–2018
· Research Intern, Honda Research Institute
· Research Intern, Tsinghua–Berkeley Shenzhen Institute
· M.S. in Electrical Engineering and Computer Sciences, University of California, Berkeley

Publications (29)

23
cited
2023 IEEE Intelligent Vehicles Symposium (IV) · 2023
14
cited
Annual Meeting of the Association for Computational Linguistics · 2025
9
cited
Physical review. E, Statistical, nonlinear, and soft matter physics · 2013
7
cited
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) · 2022
5
cited
4
cited
Conference on Empirical Methods in Natural Language Processing · 2025
2
cited
Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
2
cited
Conference on Empirical Methods in Natural Language Processing · 2025
2
cited
North American Chapter of the Association for Computational Linguistics · 2025
1
cited
Progress in the theorem of corresponding relations in isobaric phase diagrams and its application
1986
1
cited
A Tutorial on Neural Network-Based Solvers for Hyperbolic Conservation Laws: Supervised vs. Unsupervised Learning, and Applications to Traffic Modeling
NeuS · 2025
C 2 RBench: A Chinese Complex Reasoning Benchmark for Large Language Models
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