Scholar
Rongyu (Roy) Zhang
Google Scholar ID: rRcc9eoAAAAJ
The Hong Kong Polytechnic University and Nanjing University
Citations & Impact
Citations
651
H-index
11
i10-index
14
Publications
20
Co-authors
16
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published over 20 papers in top-tier CCF-A and CAS-Q1 international conferences and journals such as Nature Computational Science, NeurIPS, ICML, CVPR, AAAI, TMC, and TCSVT, etc.
- November 2025, two papers MoASE and MoLe-VLA were accepted by AAAI as Oral and Poster, respectively
- September 2025, one paper Orochi was accepted by NeurlPS as Spotlight
- May 2025, selected for the “Endeavor Scholarship — Integrated Circuit Talent Development Program” of China Education Development Foundation (93 recipients nationwide)
- May 2025, one paper INIF was accepted by Nature Computational Science (CAS-Q1)
- May 2025, one paper UTMP was accepted by IEEE TMC (CCF-A) as first author
- May 2025, one paper EVA was accepted by ICML 2025 (CCF-A)
- April 2025, one paper FBQuant was accepted by IJCAI 2025 (CCF-A)
- April 2025, one paper RepCaM++ was accepted by IEEE TMC (CCF-A) as first author
- March 2025, PAT (AAAI'25) has been applied to Samsung’s on-device applications for smartphones and TVs
- January 2025, selected for the First session “Young Talent Support Project Doctoral Special Program” of China Association for Science and Technology (3,226 recipients nationwide)
- December 2024, one paper BEVUDA++ was accepted by IEEE TCSVT (CAS-Q1) as first author
- December 2024, one paper PAT was accepted by AAAI 2025 (CCF-A)
- December 2024, named “Outstanding Ph.D. Candidate” by NJU
- November 2024, offered “Bank of Jiangsu” Scholarship from NJU
- September 2024, Panasonic Corporation is integrating VeCAF (MM'24) into its actual business operations
- July 2024, one paper VeCAF was accepted by ACMMM 2024 (CCF-A) as first author
- July 2024, offered a dual Ph.D. at The Hong Kong Polytechnic University, Advisor: Prof. Dan Wang
Education
- 2023.09-Present: The Hong Kong Polytechnic University, Ph.D. in Computing Science
- 2023.09-Present: Nanjing University, Ph.D. in Electrical Science and Technology
- 2021.09-2023.03: The Chinese University of Hong Kong, Shenzhen, M.Phil. in Computer and Information Engineering, Advisor: Prof. Fangxin Wang
- 2017.09-2021.06: Beijing University of Posts and Telecommunications, Dual B.Mang. in E-Commerce Engineering with Law
- 2017.09-2021.06: Queen Mary University of London, Dual B.Eng. in Electrical Engineering and Computer Sciences
Background
- Research Interests: Efficient and generalization learning, including dynamic neural networks and multimodal generalization (e.g., robotics and autonomous driving). Professional Field: Electrical Engineering and Computer Science. Brief Introduction: A dual Ph.D. candidate at Nanjing University and The Hong Kong Polytechnic University.
