☕️About Me
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
- Large Language Models (LLM)
- Multimodal Learning
- Human-Centric AI
- Data Mining
- Graph Neural Networks
Ph.D. in Computer Science
Georgia Institute of Technology (GaTech)
B.S in Computer Science
University of California, Los Angeles (UCLA)
Experience
Graduate Research Assistant
Georgia Institute of Technology- Research Topics: Large Language Models (WebConf'24, ACL'24), LLM Safety (In preparation for NAACL'25), Multimodal Models (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
Research Intern
J.P. Morgan AI Research- Research Topics: Multimodal Large Language Models (MLLMs). Infographics Understanding.
Research Intern
Adobe Inc.- Research Topics: Multimodal Large Language Models (MLLMs) Fine-tuning, Web UI and Video Tutorial Understanding.
Research Intern
Microsoft Research Asia- Research Topics: Large Language Models (EMNLP'24, ICML'24, ICML'23, AAAI'23), LLM Agents (EMNLP'24, ICML'24), Scientometric Analysis (In preparation for NAACL'25), Computational Social Science, Misinformation Detection (KDD'22, AAAI'22), Few-shot Learning (ACL'24, AAAI'23), Explainable AI (AAAI'22).
- Advisors: Dr. Xiting Wang, Dr. Jindong Wang, and Dr. Xing Xie.
Undergraduate Research Assistant
UCLA- Research Topics: Large Language Models (EMNLP'24), Graph Neural Networks and Data Mining (WWW'23), LLM Fine-tuning (Under Review at KDD'25), Recommender Systems (WWW'23).
- Advisors: Dr. Yizhou Sun, Dr. Wei Wang
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
Ph.D. in Computer Science
Georgia Institute of Technology (GaTech)Research focus on Large Language Models, Multimodal Learning, and Social ComputingB.S in Computer Science
University of California, Los Angeles (UCLA)Graduated with honors
📍 Location
Atlanta, GA / Beijing, China
yjin328[AT]gatech.edu
🏢 Office
756 W Peachtree St NW, Atlanta, GA 30308
CODA 13th Floor
🕒 Office Hours
Monday - Sunday 9:00 to 20:00