Defu Cao
Scholar

Defu Cao

Google Scholar ID: fHCd9MsAAAAJ
Peking University; MBZUAI; University of Southern California; Caltech
Time SeriesFoundation ModelMachine LearningCausal InferenceLLM
Citations & Impact
All-time
Citations
2,651
 
H-index
14
 
i10-index
21
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers in top conferences such as NeurIPS, CVPR, ICLR, ICRA, ICDM, and NAACL
  • - 2024 Best Research Assistant Award at USC
  • - 2024 Graduate School Endowed Fellowship
  • - 2024 Invited talks on Time Series Foundation Model in QuantLLM Community, Lehigh University, and Emory University
  • - 2023 Invited talk at Google Sustainable Urban Mobility: Simulation and Optimization Workshop
  • - 2022 Paper on Representation Learning accepted by CVPR
  • - 2022 Paper on Neural Operator accepted by ICLR
  • - 2021 Organized ICAIF 2021 workshop - Time Series in Finance
Research Experience
  • - Summer 2024: Quantitative Researcher at Cubist Systematic Strategies
  • - Summer 2023: Research Assistant at MBZUAI, working with Prof. Kun Zhang and Prof. Biwei Huang
  • - Summer 2022: Research Intern at Adobe Research, mentored by Dr. Zhaowen Wang
  • - Previous internships at Microsoft Research Asia (twice) and Alibaba Damo Academy’s Data Analytics and Intelligence Lab, advised by Dr. Yujing Wang and Dr. Jingren Zhou respectively
  • - First internship: Baidu, 7 years ago
Education
  • - Ph.D. in Computer Science from the University of Southern California, advised by Prof. Yan Liu
  • - Master's Degree from Peking University, School of EECS, co-advised by Prof. Xu Cheng and Prof. Xianhua Liu
Background
  • - Research Interests: Developing advanced machine learning and data mining algorithms, particularly for time series foundation models
  • - Professional Field: Causal inference, graph neural networks, spectral domain representation, interpretability, and robustness
  • - Introduction: Aims to create models that demonstrate a deep understanding of temporal patterns and dynamics in various domains, including spatio-temporal and relational data.
Miscellany
  • - Hobbies and interests not mentioned