Keze Wang (王可泽)
Scholar

Keze Wang (王可泽)

Google Scholar ID: Qirk2fYAAAAJ
Sun Yat-sen University
Deep representation learningself-supervised learningobject detectionimage saliency
Citations & Impact
All-time
Citations
2,630
 
H-index
22
 
i10-index
34
 
Publications
20
 
Co-authors
44
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Publications: NeurIPS 2025 (4 papers), EMNLP 2025 (4 papers), TMM 2025 (1 paper), ICML 2025 (1 paper), KDD 2025 (1 paper), CVPR 2025 (1 paper), AAAI 2025 (1 paper), TMM 2024 (1 paper), AAAI 2024 (3 papers), TPAMI 2023 (1 paper), TMM 2023 (1 paper), TIP 2022 (1 paper), iScience Cell Press Journal 2022 (1 paper), TIP 2021 (1 paper), EMNLP 2021 (1 paper), ICCV 2021 (2 papers), ICRA 2021 (1 paper), TNNLS 2021 (1 paper)
  • - Honors & Awards: 2022 AI 2000 Most Influential Scholar Award Honorable Mention, 2019 Chinese Association for Artificial Intelligence (CAAI) Best Doctoral Dissertation Award
Research Experience
  • - Associate Professor, School of Computer Science and Engineering, Sun Yat-sen University
  • - Postdoctoral Scholar, VCLA lab, UCLA, Advisor: Prof. Song-Chun Zhu
  • - Research Scientist, Human Cyber Physical Intelligence Integration Lab, Sun Yat-sen University, Advisors: Prof. Liang Lin and Prof. Hui Cheng
Education
  • - PhD: Department of Computing, The Hong Kong Polytechnic University (March 2019), Advisor: Prof. Lei Zhang
  • - PhD: School of Data and Computer Science, Sun Yat-sen University (December 2017), Advisor: Prof. Liang Lin
  • - BE: Sun Yat-sen University
Background
  • - Research Interests: Complex Visual Reasoning, Multi-Agent Collaborative Higher-Order Reasoning, Multimodal Productive AI, Embodied Intelligence
  • - Biography: Currently an Associate Professor at the School of Computer Science and Engineering, Sun Yat-sen University. Previously a postdoctoral scholar in Prof. Song-Chun Zhu's VCLA lab at UCLA, and a research scientist at the Human Cyber Physical Intelligence Integration Lab of Sun Yat-sen University, advised by Prof. Liang Lin and Prof. Hui Cheng.
Miscellany
  • - Personal Interests: Not specified