Scholar
Caleb Chen Cao
Google Scholar ID: S85Wi_gAAAAJ
Senior Manager(R&D), Big Data Institute, HKUST
Citations & Impact
Citations
899
H-index
15
i10-index
18
Publications
20
Co-authors
13
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including but not limited to:
- - 'Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification' published in British Journal of Psychology'24
- - 'Model Debiasing via Gradient-based Explanation on Representation' presented at AIES'23
- - 'Two-stage holistic and contrastive explanation of image classification' presented at UAI'23
- - 'Towards fine-grained explainability for heterogeneous graph neural network' presented at AAAI'23
- and more.
Research Experience
- - Currently a senior manager of research and development at Big Data Institute, HKUST.
- - Affiliated with HKGAI (Hong Kong Generative AI Research Center) and HKUST (GZ).
- - At Huawei Hong Kong Research Center, as the tech lead, he initiated research works in Data-driven and Knowledge-aware eXplainable AI and translated a set of frontier research into Huawei's all-scenario deep learning framework MindSpore.
Education
- - Graduated in 2014 with a Ph.D. in Computer Science from The Hong Kong University of Science and Technology, supervised by Prof. Lei Chen, working on Stochastic Combinatorial Optimization and its application in Data-driven Crowdsourced Human Computation.
- - Received his bachelor's degree in Telecommunication Engineering from Beijing University of Posts and Telecommunications in 2010, finishing his undergraduate thesis under Prof. José C. González's supervision at Daedalus S.A. (acquired by MeaningCloud) & Universidad Politécnica de Madrid.
Background
- Research interests include human-centered AI, data-centric approaches, and applications of foundation models. Before joining HKUST, he was an AI Data specialist at Huawei Hong Kong Research Center, where he honorably founded the AI Framework and Data Technology Lab, focusing on data-driven and knowledge-aware explainable AI.
Miscellany
- Looking for postdoctoral researchers, research assistants, and PhD/MPhil students interested in LLM-related applications.
