About

I am currently on the academic job market. Please kindly reach out for any opportunities.

I am a final-year Ph.D. candidate at the University of Virginia working with Prof. Jundong Li.

(i) Research Summary: My research interest mainly lies in achieving responsible AI to further advance social good such as facilitating inclusive decision-making. I have abundant research works under related topics with a particular focus on relational data, including 27 published research papers (nine first-author ones) in the following areas [see full list]:

  • Explainability: Model Interpretability; Prediction Justification
  • Algorithmic Fairness: Fairness Measurement; Algorithm Debiasing
  • Safety: Attack and Defense
  • AI/ML+X (Applications): Healthcare; Recommendation

(ii) Highlighted Honors: I received Louis T. Rader Graduate Research Award, Endowed Fellowship, and Best Poster @Doctoral Forum of SDM 2022. I am truly grateful for the generous efforts from the associated institutions and organizers.

(iii) Highlighted Project: I initiated and have been managing the open-source tool PyGDebias — a Python library featured for 20+ built-in datasets and 10+ implementations of popular fairness-aware graph learning algorithms.

News

  • Jan. 2024: One paper accepted by PAKDD.
  • Jan. 2024: One paper accepted by ICLR.
  • Nov. 2023: Passed dissertation proposal defense.
  • Aug. 2023: One paper accepted by CIKM.
  • May. 2023: One paper accepted by SIGKDD.
  • Apr. 2023: One tutorial accepted by SIGKDD.
  • May. 2023: One paper accepted by i3CE.
  • Apr. 2023: One paper accepted by SIGIR.
  • Apr. 2023: One paper accepted by TKDE.
  • Mar. 2023: One paper accepted by ICHI.
  • Dec. 2022: One paper accepted by SDM.
  • Nov. 2022: One paper accepted by AAAI.

Industry Experiences

Mentored Students (Partial List)

Services

  • Invited Program Committee Member: AAAI 2024, CIKM 2023, ECMLPKDD 2023, KDD 2023, SDM 2023, CIKM 2022, SIGKDD 2022, AAAI 2022, WSDM 2022, etc.
  • Invited Reviewer & External Reviewer: SIGKDD, SIGIR, AAAI, ICML, WWW, ICLR, NeurIPS, TKDE, TKDD, CIKM, WSDM, ECML-PKDD, PAKDD, BigData, etc.
  • Volunteer: SIGKDD 2021, IJCAI 2021, SIGKDD 2020, etc.

Invited Talks (Selected)

  • Feb. 2023, “Artificial Intelligence: What Do We Have and Where We Are Heading?” at the University of Virginia.
  • Feb. 2023, “Unlocking Ethical Graph Neural Networks” at the University of Texas Rio Grande Valley.
  • Sept. 2022, “Fairness in Graph Mining: Metrics and Algorithms” at Mila - Quebec AI Institute [Slides].