I am a Ph.D. student in the Department of Computer Science at the College of William & Mary, advised by Dr. Huajie Shao in the areas of computer vision and physics-guided machine learning.

I obtained my M.S. in Computer Science from Wake Forest University in 2023, and my B.S. in Data Science and Bigdata Technology from Peking University in 2020. During my time at Wake Forest, I served as a research assistant to Dr. Minghan Chen, focusing on deep learning for biologically-related applications, resulting in several published academic achievements. Prior to this, my undergraduate research, supervised by Dr. Xuanzhe Liu and Dr. Gang Huang, explored computing performance and applications in mobile devices through deep learning techniques.

For more information about my academic work and research experience, please see my CV (updated in Mar. 2024).

• [2024/03] One paper, Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems, was published in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024).
• [2024/02] One paper, Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease, was published in Medical Physics.
• [2023/12] One paper, Modeling of AMPK Regulatory Network in Alzheimer’s Disease, was published in 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
• [2023/08] I started my Ph.D. program in computer science at the College of William & Mary.
• [2023/06] One preprint paper, Neural Symbolic Regression using Control Variables, was available on arXiv.
• [2023/05] I received my Master of Science (M.S.) degree in Computer Science at Wake Forest University.
• [2023/02] One preprint paper, Chemical Environment Adaptive Learning for Optical Band Gap Prediction of Doped Graphitic Carbon Nitride Nanosheets, was available on arXiv.
• [2022/08] I was awarded the 2022-2023 Research Assistant Scholarship at Wake Forest University.
• [2022/08] One paper, Graph Clustering Analyses of Discontinuous Molecular Dynamics Simulations: Study of Lysozyme Adsorption on a Graphene Surface, was published in Langmuir.
• [2022/08] We attended the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics and presented our proceeding paper titled AT[N]-net: multimodal spatiotemporal network for subtype identification in Alzheimer's disease.
• [2021/08] I was awarded the 2021-2022 Research Assistant Scholarship at Wake Forest University.
• [2021/08] I started my master's program in computer science at Wake Forest University.
• [2020/11] One paper, Adaptive Request Scheduling for Device Cloud, was published In 2020 IEEE International Conference on Services Computing (SCC).
• [2020/10] I worked in Shanghai Jujun Technology Co., Ltd as an AI developer.
• [2020/07] I received my Bachelor of Science (B.S.) degree in Data Science and Bigdata Technology at Peking University.
• [2019/07] I worked in Microsoft Asia-Pacific Research & Development Group as a software developer intern.
• [2019/07] One paper, A first look at instant service consumption with quick apps on mobile devices, was published In 2019 IEEE International Conference on Web Services (ICWS).