Yiqiao Jin

Yiqiao Jin

CS PhD Student

Georgia Institute of Technology

Biography

Yiqiao Jin (靳轶乔, Ahren) is a CS Ph.D. student at Georgia Institute of Technology, advised by Professor Srijan Kumar.

Previously, he was working as a research intern at Microsoft Research Asia (MSRA), Social Computing Group, directed by Dr. Xing Xie. He was mentored by Dr. Xiting Wang and Dr. Jindong Wang, and lead research projects on Large Language Models, Explainable NLP, Computational Social Science, and Recommender Systems.

Yiqiao also worked as an undergraduate research assistant at Scalable Analytics Institute (ScAi) on graph neural networks and recommender systems under the mentorship of Prof. Yizhou Sun and Prof. Wei Wang

Interests
  • Large Language Models (LLM)
  • Multimodal Learning
  • Social Computing
  • Data Mining
  • Graph Neural Networks
Education
  • Ph.D. in Computer Science, 2022-2027

    Georgia Institute of Technology (GaTech)

  • B.S in Computer Science, 2018-2021

    University of California, Los Angeles (UCLA)

What’s new?

Experience

 
 
 
 
 
Adobe Inc.
Research Intern
May 2024 – August 2024 San Jose, CA
Research Topics: Code Generation and Video Understanding
 
 
 
 
 
Georgia Institute of Technology
Graduate Research Assistant
August 2022 – Present Atlanta, GA

Research Topics: Large Language Models (WebConf’24, COLM'24), Robustness (COLM'24), Fairness and Equity (WebConf’24), Social Network Analysis (KDD’23), Dynamic Graph Neural Networks (KDD’23), Multimodal Models (COLM'24).

Advisor: Dr. Srijan Kumar

 
 
 
 
 
Microsoft Research Asia
Research Intern
December 2020 – July 2022 Beijing, China

Research Topics: Large Language Models and Agents (ICML'24), Language Models (ICML'23, AAAI'23), Misinformation Detection (KDD'22, AAAI'22), Learning in Low-Resource Scenarios (AAAI'23), Explainable AI (AAAI'22).

Advisors: Dr. Xiting Wang, Dr. Jindong Wang, and Dr. Xing Xie.

 
 
 
 
 
UCLA Scalable Analytics Institute (ScAi)
Research Assistant
June 2021 – June 2022 Los Angleles, CA
Research Topics: Graph Neural Networks (WWW'23), Graph-Based Recommender Systems (WWW'23), Social Computing (AAAI'23, AAAI'22). Advisors: Dr. Yizhou Sun, Dr. Wei Wang
 
 
 
 
 
Amazon
Software Engineer Intern
June 2020 – September 2020 Seattle, WA, USA

Worked on the backend services of Amazon FBA Team

Created IAR Manual Analysis, an AWS Step Functions workflow that uses AWS Lambda to aggregate datapoints from various data sources (S3, DynamoDB) for SageMaker ML model training, and handles $\ge$ 16,000 requests per summary stage.

 
 
 
 
 
IBM
Software Engineer Intern
June 2019 – September 2019 Beijing, China

Worked on the backend services of IBM Cloud.

Created IAR Manual Analysis, an AWS Step Functions workflow that uses AWS Lambda to aggregate datapoints from various data sources (S3, DynamoDB) for SageMaker ML model training, and handles over 16,000 requests per summary stage.

Recent Publications

Quickly discover relevant content by filtering publications.
(2015). An example journal article. Journal of Source Themes, 1(1).

PDF Cite Code Slides

Recent & Upcoming Talks

Skills

Technical
Large Language Models (LLMs)
Multimodal Learning
Graph Neural Networks
Social Computing
Hobbies
Hiking
Rabbit
Photography

Contact

You can reach me in Atlanta, GA / Beijing, China.

Stats

Visits around the world