CALIBURN: Self-Calibrated LLM Unlearning Alignment
Yang, Z., Zhong, Y., Hong, J., & Zhu, Z. (2026). CALIBURN: Self-Calibrated LLM Unlearning Alignment. EMNLP 2026.
Education
- George Mason University, Ph.D. in Cybersecurity, Aug 2024 - Present
- Advisor: Dr. Zhuangdi Zhu
- University of California, Irvine, M.S. in Data Science, Sep 2022 - Dec 2023
- Advisor: Dr. Weining Shen
- Shenzhen University, B.Eng. in Computer Science and B.Econ. in Finance, Sep 2018 - Jun 2022
- Outstanding Graduate
Professional Experience
- Guosen Securities, Artificial Intelligence Intern, May 2021 - Aug 2021
Publications
Distribution Corrected Offline Data Distillation for Large Language Models
Zhang, Y., Yang, Z., Goonatilake, Y. N., & Zhu, Z. (2026). Distribution Corrected Offline Data Distillation for Large Language Models. Efficient Reasoning Workshop at COLM 2026.
Can LLMs Prove Robotic Path Planning Optimality? A Benchmark for Research-Level Algorithm Verification
Yang, Z., Tazwar, M. T., Wei, M., & Zhu, Z. (2026). Can LLMs Prove Robotic Path Planning Optimality? A Benchmark for Research-Level Algorithm Verification. IEEE IROS 2026.
DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher
Zhong, Y., Yang, Z., & Zhu, Z. (2026). DUET: Distilled LLM Unlearning from an Efficiently Contextualized Teacher. ICLR 2026.
ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults
Yang, Z., Hong, J., Pang, Y., Zhou, J., & Zhu, Z. (2025). ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults. KDD 2025 Workshop on SciSocLLM.
Hierarchical Federated Unlearning for Large Language Models
Zhong, Y., Yang, Z., & Zhu, Z. (2025). Hierarchical Federated Unlearning for Large Language Models. FedKDD 2025.
SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
Xia, H., Yang, Z., Zou, J., Tracy, R., Wang, Y., Lu, C., Lai, C., He, Y., Shao, X., Xie, Z., Wang, Y., Shen, W., & Chen, H. (2025). SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. ICLR 2025.
Language and Multimodal Models in Sports: A Survey of Datasets and Applications
Xia, H., Yang, Z., Zhao, Y., Wang, Y., Li, J., Tracy, R., Zhu, Z., Wang, Y., Chen, H., & Shen, W. (2024). Language and Multimodal Models in Sports: A Survey of Datasets and Applications. arXiv preprint.
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video
Yang, Z., Xia, H., Li, J., Chen, Z., Zhu, Z., & Shen, W. Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video. Electronics.
SportQA: A Benchmark for Sports Understanding in Large Language Models
Xia, H., Yang, Z., Wang, Y., Tracy, R., Zhao, Y., Huang, D., Chen, Z., Zhu, Y., Wang, Y., & Shen, W. (2024). SportQA: A Benchmark for Sports Understanding in Large Language Models. NAACL 2024.
Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget
Zhang, H., Huang, W., Xu, C., Yang, Z., Zhou, H., Qi, F., Zhang, C., & Wu, K. (2023). Improving Confidence of Uncertain Knowledge Graphs by Crowdsourcing with Limited Budget. ICPADS 2023.
Teaching
Mgmt FE 247: Venture Capital & Private Equity, Fall 2023
Graduate Teaching Assistant, The Paul Merage School of Business, University of California, Irvine
Academic Service
- ICLR Reviewer, 2026 and 2025
- NeurIPS Reviewer, 2026
- COLM Reviewer, 2026
Awards and Grants
Awards
- NeurIPS 2026 Top Reviewer (Top 8%)
Grants
- NeurIPS 2026 Complimentary Registration
- EMNLP 2026 Diversity and Inclusion Subsidy
- IROS 2026 IEEE RAS Travel Grant