Curriculum Vitae

Education, internships, teaching, talks, academic service, and advising. For the full publication record, see Publications.

Education

  • Ph.D. in Informatics Indiana University Bloomington, USA 2023–present
  • Ph.D. in Computer Science Singapore Management University, Singapore 2022–2023
  • M.S. in Information Systems Nanyang Technological University, Singapore 2020–2022
  • B.S. in Computer Science & Technology Central South University, China 2014–2018

Internships

  • Quantitative Research Intern — Core Research Team, QuantLab Financial (Houston). Jun–Aug 2024
  • Research Summer Internship — Indiana University Bloomington, supervised by Prof. Katy Börner. May–Jun 2024

Teaching Experience

  • Lecture — Vision Language Models (VLM). INFO-I 590 Foundation and Application for Large Language Models. Apr 9, 2026
  • Lecture — Retrieval Augmented Generation (RAG) for LLMs. INFO-I 590 Foundation and Application for Large Language Models. Mar 3, 2026
  • Teaching Assistant, INFO-I 590 Foundation and Application for Large Language Models. Luddy School of Informatics, Computing, and Engineering, IU Bloomington. Spring 2026
  • Teaching Assistant, INFO-I 590 Foundation and Application for Large Language Models. Luddy School, IU Bloomington. Fall 2025
  • Teaching Assistant, INFO-I 590 Foundation and Application for Large Language Models. Luddy School, IU Bloomington. Spring 2025

Talks & Workshops

  • Invited talk — "AI-Assisted Research". Prof. Thai Le's lab, Indiana University Bloomington. Apr 2026
  • Oral presentation — MSLD 2024 (Ann Arbor, Michigan), on "ChatGPT Rates Like Human: Towards a Better Alignment of Text Explanation Quality Assessments". 2024
  • Talk — "Natural Language Explanation: From XAI to Human-AI Interaction". YY Group, CNetS, Indiana University Bloomington. 2023
  • Participant, SICSS (Summer Institute of Computational Social Science), NUS, Singapore. 2022
  • Co-organizer, Workshop "Introduction to NLP", @IEEE NTU Student Branch, NTU, Singapore. Oct 2021

Research Advising

  • Master's Student: Sathvik Bandaru (co-advising)

Public Service — Conference Review

  • NeurIPS 2026 · Reviewer
  • KDD 2026 · Reviewer
  • COLM 2026 · Reviewer
  • ACL ARR Mar-2026 · Sub-reviewer
  • IC2S2 2026 · PC
  • 7th CySoc @ ICWSM 2026 · PC
  • IUI 2026 · Reviewer
  • WWW 2026 Web4Good · PC
  • ACL ARR Jan-2026 · Reviewer
  • ICWSM 2026 · Reviewer
  • IMX 2025 · Reviewer
  • 6th CySoc @ ICWSM 2025 · PC
  • ACL ARR 2025 · Reviewer
  • WebSci 2025 · PC
  • CHI 2025 · Reviewer
  • ICWSM 2025 · Reviewer
  • IDC 2025 · Reviewer
  • WSDM 2022 · Reviewer

Service — Journal Review

  • PeerJ Computer Science 2025
  • Online Social Networks and Media 2024, 2025
  • Information Processing & Management 2024

Organization / Volunteer

  • SODA Lab research talk "Multimodal NLP research insights" (Dr. Henry Wei Han), organizer. Nov 2025
  • LLM Innovators Hub @ Soda Lab, organizer. since Oct 2024
  • CNetS @ Luddy School Gathering Event, organizer. Aug 2023–Oct 2024
  • ISSI 2023, student volunteer. 2023

Dissertation — Master (NTU)

  • Public Opinion Trend Analysis on Nuclear Energy via Aspect-based Sentiment Analysis Methods. Nanyang Technological University. 2021