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I am a Lecturer in AI (equivalent to an Assistant Professor) at the University of Auckland. The University of Auckland is ranked #65 in the 2026 QS World University Rankings and #128 in the US News Best Global Universities. Before it, I was a Postdoctoral Researcher in the Medical Sciences Division at the University of Oxford from 2024 to 2025. I received my Ph.D. in Computer Science from the University of Central Florida in 2023 and my B.E. from BUPT in 2020. I have also had the privilege of interning at Microsoft Research, Baidu Research, and Bytedance AI Lab.

Prospective Students: I am actively looking for self-motivated PhD and Master's students to join my group. Please feel free to reach out if you are interested in my research areas, which mainly includes:

• Deep Time Series Modeling: Investigating deep learning for general time series analysis (including forecasting, classification, etc) and to solve domain-specific time series challenges in different settings (such as healthcare, energy, etc).
• Tabular Machine Learning: Using data-centric AI to model structured tabular data, extract key knowledge, or edit data itself to enhance the tabular tasks.
• Healthcare Informatics: Understanding the machnisms of chronic diseases (such as cardiovascular diseases, mental illness, etc), and aging-related diseases to improve health outcomes.
• Agentic AI: Building interesting LLM-based agents to automate and accelerate the scientific discovery or to solve challenges in real-world applications.

I have published over 40 papers in top-tier data mining, machine learning, and interdisciplinary venues, including TKDE, TKDD, Nature Communications, ICLR, NeurIPS, KDD, WWW, AAAI, and IJCAI. Two of my papers have received ICLR spotlight recognition. In addition to my research, I have co-organized workshops at conferences like ICDM, CIKM, SIGSpatial, and KDD. I also regularly serve as a program committee member or reviewer for numerous leading conferences and journals (listed below).

News

• August 2025: Call for paper (GeoGenAgent'25): The 1st International Workshop on Generative and Agentic AI for Multi-Modality Space-Time Intelligence SIGSPATIAL 2025's Workshop.
• August 2025: One paper on multimodal medical time series modeling was accepted by Information Fusion.
• July 2025: One paper was accepted to IEEE Transactions on Knowledge and Data Engineering.
• June 2025: One paper was accepted to IEEE Transactions on Computational Social Systems.
• May 2025: Our survey and tutorial on deep frequency learning for time series were accepted to KDD 2025: Deep Learning in Frequency Domain.
• April 2025: Two papers on spatiotemporal modeling were accepted to IJCAI 2025.
• January 2025: One paper on tabular representation learning was accepted to ICLR 2025.
• January 2025: One paper on medical time series classification was accepted to The Web Conference (WWW) 2025 and one paper was accepted by Bioinformatics.
• January 2025: One paper on protein function modeling was published in Nature Communications.
• December 2024: Three papers were accepted to AAAI 2025.
• November 2024: One paper on non-stationary time series forecasting was accepted to KDD 2025.

Selected Publications

I have published over 40 papers in prestigious journals and conferences. For a complete list, please see my Google Scholar.

• Deep Time Series Modeling
  • The Data Learning Perspective: ICLR 22, NeurIPS 23, NeurIPS 23, NeurIPS 24
  • The Data Manipulating Perspective: AAAI 23, IJCAI 24, IJCAI 24, KDD 25
• Automated Feature Engineering
  • Automated Feature Selection: ICDM 20, TKDE 21, SDM 21
  • Automated Instance and Feature Selection: IJCAI 22
• Deep Representation Learning
  • Tabular Representation Learning: ICLR 24
  • Graph Representation Learning: ICDM 21, EMNLP 22
• Spatial-temporal Data Mining and Interdisciplinary Applications
  • Urban Computing and Smart City Applications: ICDM 23, SDM 24, IJCAI 24
  • Energy Forecasting: TKDD 24
  • Medical Signal Classification: WWW 25

Professional Services

Area Chair / Senior Program Committee

• IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2025

Program Committee Member / Reviewer

• Conferences: ICLR, NeurIPS, KDD, ICML, WWW, AAAI, IJCAI, MM, SIGSPATIAL, CIKM, SDM, IEEE BigData, IJCNLP, LoG, PRICAI
• Journals: IEEE TKDE, IEEE TCSS, IEEE TBD, IEEE IoTJ, ACM TKDD, ACM TOIS, ACM TOMM, Information Processing & Management, Scientific Reports

Editorial Board

• International Journal of Intelligent Networks