Experience

  1. Graduate Research Assistant

    Georgia Institute of Technology
    • Research Topics and Publications:
      • Large Language Models (EMNLP'25, ACL'25, Web Conference'24, ACL'24)
      • LLM Robustness and Safety (Under Review at Web Conference'26)
      • Multimodal Models (ACL'25, ACL'24)
      • Recommender Systems and Dynamic Graph Mining (KDD'23)
      • Social Network Analysis (CIKM'24, KDD'23)
      • Fair Graph Mining (CIKM'24).
    • Advisor: Dr. Srijan Kumar

  2. Research Intern

    J.P. Morgan AI Research
    • Research Topics: Multimodal Large Language Models (MLLMs). Infographics Understanding.

  3. Research Collaborator

    Visa Research
    • Research Topics: Retrieval-augmented Generation (RAG). Large Language Models (LLMs). Efficient AI.

  4. Research Intern

    Adobe Inc.
    • Research Topics: Multimodal Large Language Models (MLLMs) Fine-tuning, Web UI and Video Tutorial Understanding.

  5. Research Intern

    Microsoft Research Asia
    • I published over 10 papers at top-tier AI/ML conferences during my worked as a research scientist intern in Microsoft Research Asia (MSRA), Social Computing Group. I continued to collaborate with their team after my internship.
    • Advisors: Dr. Jindong Wang, Dr. Xiting Wang, and Dr. Xing Xie.
    • Research Topics and Publications:
      • Large Language Models (EMNLP'24, ICML'24, ICML'23, AAAI'23)
      • LLM Agents (EMNLP'24, ICML'24)
      • Multicultural and Multimodal LLMs (NeurIPS'25),
      • Scientometric Analysis (Under Review at ACL'25)
      • Computational Social Science
      • Misinformation Detection (KDD'22, AAAI'22)
      • Few-shot Learning (ACL'24, AAAI'23)
      • Explainable AI (AAAI'22).

  6. Undergraduate Research Assistant

    UCLA
    • I worked as an undergraduate research assistant at Scalable Analytics Institute (ScAi), advised by Dr. Yizhou Sun and Dr. Wei Wang. I am continuously collaborating with ScAi Lab on various ongoing research projects.
    • Research Topics and Publications:
      • Large Language Models (EMNLP'25, EMNLP'24)
      • Graph Neural Networks and Data Mining (WWW'23)
      • LLM Fine-tuning (Under Review at KDD'25)
      • Recommender Systems (WWW'23)

  7. Software Engineer Intern

    Amazon
    • Worked in Fulfillment By Amazon (FBA), IAR team
    • Designed and implemented IAR Manual Analysis, a scalable and efficient workflow using AWS Step Functions and AWS Lambda. This service automates the aggregation of data points from multiple sources like Amazon S3 and DynamoDB for SageMaker ML model training, handling over 16,000 requests per summary stage;
    • Automated the deployment of the workflow across all AWS Realms (EU/FE/NA) through CloudFormation;
    • Establish DataCraft pipeline to enable automatic data ingestion from DynamoDB into the Andes dataset catalog, promoting broader internal adoption of these datasets for cross-functional teams and enhancing data accessibility;
    • Perform ablation analysis on the inventory reconciliation model, identifying key performance bottlenecks and optimizing model performance

Education

  1. Ph.D. in Computer Science

    Georgia Institute of Technology (Georgia Tech)
    Research focus on Large Language Models, Multimodal Learning, and Social Computing

  2. B.S in Computer Science

    University of California, Los Angeles (UCLA)
    Graduated with honors
Skills & Hobbies
Technical Skills
Large Language Models (LLMs)
Multimodal LLMs
Multi-agent Systems (MASs)
Natural Language Processing
Social Computing
Graph Neural Networks
Hobbies
Rabbit
Photography
Hiking
Awards
Best Paper Award at Good-Data @ AAAI'25 Workshop
AAAI Conference ∙ March 2025
Recognized for outstanding research contribution in data quality and AI systems.
Roblox Graduate Fellowship Finalist
Roblox Corporation ∙ January 2025
Selected as finalist for prestigious graduate fellowship supporting innovative research in AI and gaming.
AAAI Student Scholarship (3 times)
AAAI Conference ∙ March 2025
Received student scholarship for AAAI conferences in 2022, 2023, and 2025.
Microsoft Research “Star of Tomorrow” Award of Excellence
Microsoft Research ∙ June 2021
Awarded for exceptional research contributions during internship at Microsoft Research Asia.
UCLA Dean’s Honor List for Superior Academic Achievement (5 times)
UCLA ∙ December 2021
Achieved Dean’s Honor List recognition in Spring 2019, Winter 2020, Spring 2020, Winter 2021, and Spring 2021.
Languages
100%
English
100%
Chinese
25%
Japanese