About Me

Hi! I’m a Ph.D. student of Computer Science at Rensselaer Polytechnic Institute (RPI) under the supervision of Prof. Yao Ma. I received a bachelor’s degree in Quantitative Business Analysis and Computer Science from the University of Sydney and a master’s degree in Operations Research and Information Engineering from Cornell Tech, Cornell University. I also have work experience at Gap Inc., Cardinal Operations, and EY.

Research Interest

  • Intersection between AI and Operations Research (OR)
  • LLM for Decision-Making/Data Optimization for LLM
  • RAG/Text-to-SQL/Information Retrieval for LLM
  • Data-centric AI (Active Learning, Data Valuation, Self-Supervised Learning etc.)
  • Graph Learning/Graph Neural Networks
  • Operations Research/Optimization/Approximate Dynamic Programming

News

  • [12/2025] One paper accepted by NDSS 2026
  • [10/2025] Excited to share that I passed my dissertation defense
  • [10/2025] One paper accepted by NeurIPs 2025
  • [09/2025] Glad to join Amazon as an applied scientist intern
  • [05/2025] Glad to join IBM Watson Research Center as a research extern
  • [05/2025] Gave an invite talk as the keynote speaker at the DS2MH Workshop at SDM 2025
  • [05/2025] Our “Graph Data Valuation: From Training to Inference Values” received a SDM honorable mention poster award
  • [05/2025] Received Commendable Reviewer recognition from KDD 2025 Program Committee
  • [02/2025] Check out our preprint on Data Valuation with Sequential Decision Making
  • [01/2025] Two papers Graph Training Data Valuation and Graph Inference Data Valuation, accepted by ICLR 2025
  • [11/2024] Gave an invited talk on Graph Data Valuation at Prof. Mohammad M Amiri’s Machine Learning Seminar
  • [05/2024] Glad to join AT&T Labs as a summer research intern
  • [05/2024] One paper about Self-supervised Learning accepted by KDD 2024
  • [03/2024] Received the SDM’24 Doctoral Forum Travel Award
  • [01/2024] Check out our preprints on Graph Data Valuation and Graph Contrastive Learning Benchmarks
  • [12/2023] One paper about Active Learning accepted by SDM 2024 and earlier news

Publications and Preprints

  • [arXiv 2025] “Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making.”
    • Hongliang Chi, Qiong Wu, Zhengyi Zhou, Jonathan Light, Emily Dodwell, Yao Ma.
    • Read the paper & Code
  • [ICLR 2025] “Precedence-Constrained Winter Value for Effective Graph Data Valuation.”
  • [ICLR 2025] “Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation.”
  • [SDM 2024] “Active Learning for Graphs with Noisy Structures.”
  • [KDD 2024] “Enhancing Graph Contrastive Learning with Node Similarity.”
  • [NDSS 2026] “In-Context Probing for Membership Inference in Fine-Tuned Language Models.”
    • Zhexi Lu, Hongliang Chi, Nathalie Baracaldo, Swanand Ravindra Kadhe, Yuseok Jeon, Lei Yu.
    • [Read the paper]
  • [NeurIPs 2025] “Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking.”
    • Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed Elkoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma.
    • Read the paper
  • [arXiv 2024] “Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.”
    • Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma.
    • Read the paper

Symposiums and Workshops

  • [MLG 2023] “Active Learning for Graphs with Noisy Structures.”
    • 19th International Workshop on Mining and Learning with Graphs (MLG 2023).
    • More Info
  • [SDM Doctoral Forum 2022] “A General Graph Contrastive Learning Boosting Framework”
    • International Conference on Data Mining (SDM 2022) Doctoral Forum, SIAM, Poster.
    • More Info

Awards

  • SDM 2025 Honorable Mention Poster Award
  • SDM 2025 Doctoral Forum Travel Award
  • SDM 2024 Doctoral Forum Travel Award
  • WSDM 2024 Student Travel Award
  • WSDM 2022 Student Travel Award
  • SDM 2022 Doctoral Forum Travel Award

Services

  • Reviewer, The International Conference on Learning Representations (ICLR) 2025 - 2026
  • Reviewer, The ACM Web Conference (WWW) 2026
  • Reviewer, Conference on Neural Information Processing Systems (NeurIPS) 2025
  • Reviewer, SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2024 - 2025
  • Reviewer, Transactions on Machine Learning Research (TMLR) 2025
  • Reviewer, IEEE BigData 2025
  • Reviewer, ACM Transactions on Knowledge Discovery from Data (TKDD) 2024
  • Reviewer, IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024

Teaching

  • Head Teaching Assistant, Machine Learning From Data (CSCI 4100/6100), Fall 2024 RPI
  • Teaching Assistant, CSCI 2600 Principles of Software, Spring 2024 RPI
  • Teaching Assistant, CSCI 1100 Computer Science I, Fall 2023 RPI
  • Teaching Assistant, CS 675 Introduction to Machine Learning, Fall 2022 NJIT

Volunteering

  • 2022 ACM SIGKDD, Washington DC, U.S., 2022
  • Cornell Course Roster Scheduling under COVID-19 Emergency, 2020
    • Details: Member of Cornell’s Roster Team, implemented an optimization model for room scheduling and assignment under COVID-19 capacity constraints. Read news report.

Fun Pictures