CV

Email: tdu35 [at] wisc [dot] edu
Google Scholar: link · LinkedIn: link · GitHub: Tingting-Olivia-Du
Updated: 2026-09-07

Education

B.S., Computer Science and Mathematics, University of Wisconsin-Madison (Jan 2025 – May 2027, expected)
GPA: 3.86/4.00 · Honors: College of Letters & Science Dean’s List
Visiting Student, Computer Science, University of California, Berkeley (2023 – 2024)
GPA: 3.77/4.00 · Honors: Berkeley Global Access Scholarship
Undergraduate, Linguistics, Ningbo University (2021 – 2023)
GPA: 3.80/4.00 · Honors: Zhejiang Provincial Scholarship (Top 3%, 2×)

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.
Transactions on Machine Learning Research (TMLR), 2026. DOI: 10.48550/arXiv.2604.23001
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.
arXiv preprint arXiv:2602.17951, 2026. DOI: 10.48550/arXiv.2602.17951
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
B. Nguyen, T. Du, M. Yu, L. Angrave, M. Jiang.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
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.
arXiv preprint arXiv:2512.03381, 2025. DOI: 10.48550/arXiv.2512.03381
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.
ICML 2025 Workshop on Collaborative and Federated Agentic Workflows.

Trimanual Manipulation · University of Wisconsin-Madison (Aug. 2026 – Present)
Advisor: Prof. Mike Hagenow, Robot Teaching and Teaming (RT²) Lab
Learning coordinated three-arm manipulation policies from demonstration, using synchronized multi-view perception over long-horizon, contact-rich tasks.
Vision-Language-Action Model Research · University of Maryland, College Park (Jan. 2026 – Aug. 2026)
Advisor: Prof. Ang Li
Architected a multi-layer shared projector framework to bridge 2D and 3D representations in VLA models.
Interpretability of LLM Reasoning · University of Wisconsin-Madison (Sep. 2025 – Jan. 2026)
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.
Student Modeling for Question Generation · University of Notre Dame (Jul. 2024 – Jan. 2025)
Advisor: Prof. Meng Jiang
Developed a student modeling approach for question generation. Published at ACL 2025.
Situated Language Use · Berkeley Artificial Intelligence Research (Feb. 2024 – Jun. 2024)
Advisor: Prof. Alane Suhr
Analyzed situated language use and ad-hoc convention formation within a large-scale corpus in a virtual 3D environment.

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