Published multiple papers, including 'Rethinking On-policy Optimization for Query Augmentation' and 'AQUAH: Automatic Quantification and Unified Agent in Hydrology,' and received several awards and grants, such as 4 Max-Q GPUs from Amazon and GPU credits from NSF ACCESS.
Research Experience
Before joining the University of Oklahoma, he spent two years as a post-doctoral researcher at the NSF AI Institute for Student-AI Teaming (iSAT) at the University of Colorado Boulder, working with Dr. James Martin and Dr. Martha Palmer. He has also worked/interned at companies such as Alibaba, Baidu, Sohu, WeChat (@Palo Alto), and Amazon.
Education
Ph.D. from the Kahlert School of Computing at the University of Utah, supervised by Dr. Vivek Srikumar; M.S. and B.S. in Computer Science from Huazhong University of Science and Technology (HUST) in China.
Background
Research interests include Natural Language Processing and Machine Learning. Current research interests include multi-party multi-modal dialogue/discourse analysis, LLM/MLLM alignment and agents, efficient structured prediction and symbolic methods, robust deployment and evaluation of trustworthy AI.