Zeliang Zhang
Scholar

Zeliang Zhang

Google Scholar ID: 7nLfsSgAAAAJ
PhD Candidate @ University of Rochester; BEng @ HUST
trustworthy and efficient AI
Citations & Impact
All-time
Citations
582
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • NeurIPS 2025: Proposed methods to boost adversarial transferability in ViTs (first author, project leader)
  • ICCV 2025: Introduced π-AVAS, a physics-integrated audio-visual modeling approach
  • CVPR 2025: Proposed targeted forgetting of image subgroups in CLIP (first author)
  • CVPR 2025: Co-developed VidComposition, a new benchmark for evaluating video composition understanding in MLLMs
  • ICLR 2025: Developed a powerful audio-visual adversarial attack and defense method (first author, project leader)
  • ICLR 2025: Proposed FLOPS for optimal query allocation in forward-only training
  • Preprint 2024: Pruned visual-related computation in MLLMs to accelerate inference (co-first author)
  • ICML 2025: Provided theoretical insights into model ensemble in transferable adversarial attacks (co-first author)
  • Findings of EMNLP 2024: Empirically studied quantity bias in CLIP
  • Preprint 2024: Proposed Differentiated Beam Decoding (DBD) to mitigate hallucinations in LVLM-based image captioning
Research Experience
  • Organizing a workshop at ICCV 2025 in Hawaii (starting April 2025)
  • Research intern at Microsoft Research (Redmond), Deep Learning Group (starting May 2024)
  • Research intern at Microsoft Research Asia (Beijing), Machine Learning for Sustainability Group (starting October 2021)
  • Collaborating with Prof. Yijie Peng (Peking University) on gradient estimation (Zeroth-Order optimization)
  • Collaborating with Prof. Xiao-Yang Liu (RPI/Columbia) on high-performance quantum and tensor computation