CV

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Education

• B.S. in Computer Science and Mathematics, University of Wisconsin-Madison, 2027 (expected)
  • GPA: 3.86/4.00
  • Honors: College of Letters & Science Dean’s List
  • Relevant Courses: Autonomous Robotics, Operating System, Artificial Neural Network
• Visiting Student in Computer Science, University of California, Berkeley, 2023-2024
  • GPA: 3.77/4.00
  • Honors: Berkeley Global Access Scholarship
  • Relevant Courses: Real Analysis, Data Structures, Algorithm, Intro to Artificial Intelligence
• Undergraduate in Linguistics, Ningbo University, 2021-2023
  • GPA: 3.80/4.00
  • Honors: Zhejiang Provincial Scholarship (Top 3%, 2×)

Research Experience

• Jan 2026 - Present: Vision-Language-Action Model Research
  • University of Maryland, College Park
  • Advisor: Prof. Ang Li
  • Architected a multi-layer shared projector framework to bridge 2D and 3D representations in VLA models
  • Manuscript in submission to ICML
• Sep 2025 - Jan 2026: Interpretability of LLM Reasoning
  • University of Wisconsin-Madison
  • Advisor: Prof. Yiqiao Zhong
  • Developed an interpretability framework using token-level KL-divergence to pinpoint where language models correct logical reasoning errors during RLVR training
• Jul 2024 - Jan 2025: Student Modeling for Question Generation
  • University of Notre Dame
  • Advisor: Prof. Meng Jiang
  • Developed a student modeling approach for question generation
  • Published at ACL 2025
• Feb 2024 - Jun 2024: Situated Language Use
  • Berkeley Artificial Intelligence Research
  • Advisor: Prof. Alane Suhr
  • Analyzed situated language use and ad-hoc convention formation within a large-scale corpus in a virtual 3D environment

Skills

• Programming Languages
  • Python, Java, C++, JavaScript, TypeScript
  • LaTeX, Julia, R, SQL, Assembly
• Frameworks & Tools
  • ROS 2, Hugging Face Transformers, PyTorch
  • vLLM, PEFT/LoRA, Docker, Linux, AWS
• Research Areas
  • Vision-Language-Action Models
  • Large Language Model Reasoning
  • Robotics and Autonomous Systems

Publications

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines

Z. Wang, B. Wang, H. Zhang, T. Du, T. Chen, G. Sun, Y. He, Z. Shen, W. Ye, A. Li. (2026). "Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines." Transactions on Machine Learning Research (TMLR).

ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models

G. Sun, T. Du, K. Feng, C. Luo, X. Ding, Z. Shen, Z. Wang, Y. He, A. Li. (2026). "ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models." arXiv preprint arXiv:2602.17951.

Agent KB: A Hierarchical Memory Framework for Cross-Domain Agentic Problem Solving

X. Tang, T. Qin, T. Peng, Z. Zhou, D. Shao, T. Du, X. Wei, H. Zhu, G. Zhang, et al. (2025). "Agent KB: A Hierarchical Memory Framework for Cross-Domain Agentic Problem Solving." ICML 2025 Workshop on Collaborative and Federated Agentic Workflows.

Characterizing Language Use in a Collaborative Situated Game

N. Tomlin, N. Zhou, E. Fleisig, L. Chen, T. Wright, L. Vinh, L.X. Ma, S. Eisape, T. Du, T. Zhang, A. Koller, A. Suhr. (2025). "Characterizing Language Use in a Collaborative Situated Game." arXiv preprint arXiv:2512.03381.

QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation

B. Nguyen, T. Du, M. Yu, L. Angrave, and M. Jiang. (2025). "QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation." Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL).