Services

I am open to peer review and organizing chances in the field of machine learning.

Organizer

• AAAI 2024 Tutorial: Knowledge-enhanced Graph Learning
• SDM 2024 Tutorial: Data Quality-Aware Graph Machine Learning
• Session Chair of SDM 2024

Mentorship

I mentored over ten students from diverse backgrounds (undergrad/MS/PhD from five continents). In addition, I consistently participate in mentoring programs as a mentor, such as the Ph.D. Consortium at KDD 2023 and the author mentorship program at the Machine Learning for Health 2023.

Teaching

I co-teached a class at Notre Dame with my advisor. I also gave an invited lecture at Brandeis and served as a Teaching Assistant for two semesters. In addition, I took the class “Inclusive Teaching” to learn teaching pedagogy.

Conferences Program Committee and/or Reviewer

• 2023: NeurIPS, ICLR, ICML, AAAI, IJCAI, KDD, WWW, EMNLP, LOG, CIKM, SDM, PAKDD
• 2022: NeurIPS, KDD, IJCAI, CHIL, ICPR, ICCS

Journal Reviewer

• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Transactions on Multimedia (TMM)
• ACM Transactions on Knowledge Discovery from Data (TKDD)
• ACM Transactions on Intelligent Systems and Technology (TIST)
• Journal of Artificial Intelligence Research (JAIR)
• Frontiers in Big Data
• Information Sciences