Chenchen Ye (PhD student at UCLA)

I am currently a second-year PhD student in Computer Science at UCLA, where I am fortunate to be advised by Prof. Wei Wang. Prior to this, I obtained my bachelor's degree in Computer Science from the National University of Singapore (NUS), where I joined the NExT Research Center advised by Prof. Tat-Seng Chua.

My research interests include Natural Language Processing and Data Mining, with the current focus on reasoning with large language models and agents.

Preprints:

• MIRAI: Evaluating LLM Agents for Event Forecasting
  Chenchen Ye*, Ziniu Hu*, Yihe Deng*, Zijie Huang, Mingyu Derek Ma, Yanqiao Zhu, Wei Wang
  Preprint 2024 
  [Paper] [Homepage] [Code] [Data] [Demo Video] [Demo Notebook]




• CliBench: Multifaceted Evaluation of Large Language Models in Clinical Decisions on Diagnoses, Procedures, Lab Tests Orders and Prescriptions
  Mingyu Derek Ma, Chenchen Ye, Yu Yan, Xiaoxuan Wang, Peipei Ping, Timothy S Chang, Wei Wang
  Preprint 2024 
  [Paper] [Homepage]

Publications:

• GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
  Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
  Neurips 2024 
  




• Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models
  James Chapman, Xinyi Leng, Jason Liang, Jack Mauro, Xu Wang, Andrea Bertozzi, Junyuan Lin, Bohan Chen, Chenchen Ye, Temple Daniel and P. Jeffrey Brantingham
  CIKM 2024, The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA³ 2024) 
  [Paper]




• Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
  Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua
  ACL 2024 
  [Paper] [Code] [Data]




• Context-aware Event Forecasting via Graph Disentanglement
  Yunshan Ma*, Chenchen Ye*, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
  SIGKDD 2023 
  [Paper] [Code & Data] [Poster] [Slides]




• Reflecting on Experiences for Response Generation
  Chenchen Ye, Lizi Liao, Suyu Liu and Tat-Seng Chua
  ACMMM 2022 
  [Paper] [Poster] [Slides]
  




• Structured and Natural Responses Co-generation for Conversational Search
  Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji and Tat-Seng Chua
  SIGIR 2022 (Oral) 
  [Paper] [Code] [Slides]
  

• Research Intern, Jun 2024 - Sep 2024
  Mircrosoft Research, Seattle, U.S.
  Mentor: Ha Trinh, Darren Edge, Jonathan Larson
  Topic: Agentic GraphRAG
  




• Research Assistant, Aug 2022 - Aug 2023
  NExT++ Research Center, National University of Singapore, Singapore.
  Advisor: Tat-Seng Chua, Yunshan Ma
  Topic: Learning and Reasoning on Graphs for Knowledge-enhanced Information Retrieval
  




• Undergraduate Student Researcher, May 2021 - Jun 2022
  NExT++ Research Center, National University of Singapore, Singapore.
  Advisor: Tat-Seng Chua, Lizi Liao
  Topic: Textual and Multimodal Conversational Search and Response Generation

• PhD student in Computer Science
  University of California, Los Angeles (UCLA), U.S.
  Sep 2023 - Present
  




• Bachelor of Compting (Computer Science) with Honours (Highest Distinction)
  National University of Singapore (NUS), Singapore
  Aug 2018 - Jun 2022
  

• Teaching Assistant @ NUS
  - CS2030 Programming Methodology II, Semester 1 AY2019/20
  - CS2040 Data Structure and Algorithm, Semester 1 AY2019/20
  

• Invited Reviewer: Neurips 2024, ACL(+ARR) 2024, KDD 2024, CIKM 2024, ACMMM 2024/2023, DASFAA 2024

• Outstanding Undergraduate Researcher Prize (Individual).  National University of Singapore, Jun 2022

• Dean's List Awards.  National University of Singapore, AY2019-2020/ AY2021-2022

• Science & Technology Undergraduate Scholarship.  National University of Singapore, Aug 2018 - Jun 2022

• Senior Middle 2 Scholarship.  Singapore Ministry of Education, Aug 2018 - Jun 2022