Services

Chair-ship and Organizer

• 2025:
  • [Tutorial Co-Chair] The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'25).
• 2024:
  • [Session Chair] IEEE International Conference on Big Data (IEEE BigData'24).
  • [Organizer, Chair] The 1st Workshops on Robust Machine Learning for Distribution Shifts (RobustMLDS @ IEEE BigData'24).
  • [Organizer, Chair] The 1st Workshops on Trustworthy Machine Learning for Healthcare (TrustML4Health @ IEEE BigData'24).
  • [Organizer, Chair] The 3rd Workshops on Ethical Artificial Intelligence: Methods and Applications (EAI @ KDD'24).
  • [Organizer, Chair] The 3rd Workshops on Uncertainty Reasoning and Quantification in Decision Making (UDM @ KDD'24).
  • [Co-Chair] Big Data Cup Challenges (IEEE BigData'24).
  • [Best Poster Award Committee] Ph.D. Forum (IEEE BigData'24).
  • [Organizer] The Southwest Data Science Conference.
• 2023:
  • [Organizer, Chair] The 2nd Workshops on Ethical Artificial Intelligence: Methods and Applications (EAI @ KDD'23).
  • [Organizer, Chair] The 2nd Workshops on Uncertainty Reasoning and Quantification in Decision Making (UDM @ KDD'23).
  • [Session Chair] ACM Conference on Knowledge Discovery and Data Mining (KDD'23).
• 2022:
  • [Organizer, Chair] The 1st Workshops on Ethical Artificial Intelligence: Methods and Applications (EAI @ KDD'22).
  • [Organizer, Chair] The 1st Workshops on Uncertainty Reasoning and Quantification in Decision Making (UDM @ AAAI'22).
  • [Mentor at KDD-Undergraduate Consortium] ACM Conference on Knowledge Discovery and Data Mining (KDD'22).

Journal Editorial Board

• [Guest Editor] Frontiers in Big Data (IF=2.4), Frontiers Media SA, Special Issue: Ethical Artificial Intelligence: Methods and Applications, since 2024.
• [Guest Editor] Mathematics (IF=2.3), MDPI, Special Issue: Advances in Trustworthy and Robust Artificial Intelligence, since 2024.
• [Editorial Board Member] American Journal of Data Mining and Knowledge Discovery (AJDMKD), 2022-2024.
• [Editorial Member] American Journal of Artificial Intelligence (AJAI), 2022-2024.

Conference Program Committee / Reviewer

• 2025:
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
  • International Joint Conference on Neural Networks (IJCNN)
  • International Conference on Machine Learning (ICML)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  • International Conference on Learning Representations (ICLR)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, research track)
• 2024:
  • International Conference on Machine Learning (ICML)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • The Web Conference (WWW)
  • The Asian Conference on Machine Learning (ACML)
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • SIAM International Conference on Data Mining (SDM)
  • International Conference on Learning Representations (ICLR)
  • IEEE International Conference on Big Data (BigData)
  • The Conference on Neural Information Processing Systems (NeurIPS)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, research track)
  • ACM International Conference on Information and Knowledge Management (CIKM)
  • IEEE International Conference on Data Mining (ICDM)
• 2023:
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)
  • IEEE International Conference on Big Data (BigData)
  • The Conference on Neural Information Processing Systems (NeurIPS)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, research track)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, ADS track)
  • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • ACM International Conference on Information and Knowledge Management (CIKM)
  • IEEE International Conference on Data Mining (ICDM)
  • International Conference on Intelligent Computing (ICIC)
  • International Conference on Networks, Communication and Information Technology (NCIT)
• 2022:
  • AAAI Conference on Artificial Intelligence (AAAI)
  • SIAM International Conference on Data Mining (SDM)
  • IEEE International Conference on Big Data (BigData)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, research track)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, ADS track)
  • ACM International Conference on Information and Knowledge Management (CIKM)
  • IEEE International Conference on Data Mining (ICDM)
  • International Conference on Web Search and Data Mining (WSDM)
  • International Congress on Blockchain and Applications (BLOCKCHAIN)
  • International Conference on Automated Machine Learning (AutoML)
• 2021:
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • IEEE International Conference on Big Data (BigData)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, research track)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, ADS track)
  • IEEE International Conference on Data Mining (ICDM)
• 2020:
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, research track)
  • ACM Conference on Knowledge Discovery and Data Mining (KDD, ADS track)

Journal Reviewer

• 2024:
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
  • Journal of Frontiers in Big Data
  • Journal of Advances in Artificial Intelligence and Machine Learning
  • Journal of Open Innovation: Technology, Market, and Complexity
  • Journal of PeerJ Computer Science
• 2023:
  • Journal of Frontiers in Big Data
  • Journal of Data-centric Machine Learning Research (DMLR)
  • ACM Transactions on Knowledge Discovery from Data (TKDD)
• 2022:
  • Journal of Frontiers in Big Data
  • Journal of Knowledge-based Systems (KBS)
  • Journal of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Journal of Springer Machine Learning (MACH)
  • Journal of IEEE Transactions on Software Engineering (TSE)
  • Environment and Planning B: Urban Analytics and City Science
• 2020:
  • Journal of Big Data Research (JBDR)

Workshop Reviewer

• 2023:
  • NeurIPS Workshop on Diffusion Models
  • ICML Workshop on Structured Probabilistic Inference & Generative Modeling (SPIGM)
  • WACV Workshop on Dealing with Novelty in Open Worlds
• 2022:
  • WACV Workshop on Dealing with Novelty in Open Worlds
  • AutoML Workshop on Late-Breaking
• 2021:
  • NeurIPS Workshop on Meta-Learning

National Science Foundation (NSF) Panelist

• 2024 (x3)
• 2023 (x1)

University and Department Services

• Judge for the Outstanding Graduate Student Research Award, Baylor University, 2023 - 2024
• Outreach, Inclusion and Belonging Committee Member, School of Engineering and Computer Science, Baylor University, since 2024
• Engagement Committee, Department of Computer Science, Baylor University, since 2023
• Engagement Committee Chair, since 2024
• Engagement Committee Member, 2023-2024
• Graduate Committee, Department of Computer Science, Baylor University, since 2023