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title: Hongliang Chi (Frank) email: chih3@rpi.edu description: >- 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 University of Sydney and a master’s degree in Operations Research and Information Engineering from Cornell University. I also have work experience at Gap Inc, Cardinal Operations and EY. baseurl: “” # the subpath of your site, e.g. /blog url: “https://frankhlchi.github.io” # the base hostname & protocol for your site, e.g. http://example.com avatar: https://github.com/frankhlchi/frankchi.github.io/blob/master/images/profile.jpeg

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linkedin_url: https://www.linkedin.com/in/frank-hongliang-chi/ github_url: https://github.com/frankhlchi google_scholar_url: https://scholar.google.com/citations?user=Q8S5vXsAAAAJ&hl=en

Publications

publications:

  • title: “Precedence-Constrained Winter Value for Effective Graph Data Valuation.” authors: “Hongliang Chi, Wei Jin, Charu Aggarwal, Yao Ma” link: https://arxiv.org/pdf/2402.01943.pdf status: “arXiv preprint arXiv:2402.01943, 2024”
  • title: “Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.” authors: “Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma” link: https://arxiv.org/pdf/2402.15680.pdf status: “arXiv preprint arXiv:2402.15680, 2024”
  • title: “Active Learning for Graphs with Noisy Structures.” authors: “Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma” link: https://epubs.siam.org/doi/10.1137/1.9781611978032.30 conference: “SDM 2024”
  • title: “Enhancing Graph Contrastive Learning with Node Similarity.” authors: “Hongliang Chi, Yao Ma” link: https://arxiv.org/abs/2208.06743 status: “arXiv preprint arXiv: 2208.06743, 2022”

Symposiums and Workshops

symposiums:

  • title: “Active Learning for Graphs with Noisy Structures.” event: “19th International Workshop on Mining and Learning with Graphs (MLG)” year: 2023 link: https://www.mlgworkshop.org/2023/
  • title: “Enhancing Graph Contrastive Learning with Node Similarity.” event: “International Conference on Data Mining (SDM) Doctoral Forum, SIAM, Poster” year: 2022 link: https://www.siam.org/conferences/cm/program/special-events/sdm22-special-events

Awards

awards:

  • name: WSDM 2024 Student Travel Award
  • name: WSDM 2022 Student Travel Award
  • name: SDM 2022 Travel Award

Services

services:

  • title: “Reviewer” organization: “ACM Transactions on Knowledge Discovery from Data (TKDD)” year: 2023
  • title: “External Reviewer” organization: “The Conference on Information and Knowledge Management (CIKM)” year: 2022
  • title: “Reviewer” organization: “Machine Learning on Graphs Workshop at WSDM” year: 2022
  • title: “External Reviewer” organization: “Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD)” year: 2022
  • title: “External Reviewer” organization: “The Web Conference (WWW)” year: 2022

Volunteering

volunteering:

  • project: 2022 ACM SIGKDD location: Washington DC, U.S. year: 2022
  • project: “Cornell Course Roster Scheduling under COVID-19 Emergency” year: 2020 details: >- Member of Cornell’s Roster Team, implemented a MIP model for room scheduling and assignment under COVID-19 capacity constraints. Related news: Engineering Behind Cornell’s Fall 2020 Schedule.