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Ph.D. in Computer Science

University of California, Riverside

Vision-Language Models, Efficient Transformer

M.S. in Computer Engineering

University of California, Riverside

Hawkes Processes

Teaching Assistant

University of California, Riverside

• CS 224 (Fundamentals of Machine Learning): Winter 2023
• CS/EE 228 (Deep Learning): Spring 2023

Software Engineer

iFLYTEK Co., Ltd

Designed and built the visual interface for machine learning platforms, prioritizing user-friendly elements for enhanced accessibility and usability.

Peer Mentor

University of California, Riverside

Enhanced international students' first-year experience by facilitating communication, gathering resources, and guiding to campus services.

Dean's Distinguished Fellowship Award

Data Science Pathway Fellowship (NSF)

Hawkes Processes for Social Network Analytics

Investigate the predictive capabilities of Hawkes processes in capturing temporal dynamics and dependencies within communication events.

Effects of COVID-19 Pandemic on Well-being and Cognitive Abilities

Study social connectivity during physical distancing and predicted its impact on well-being with Time-Varying Effect Models.