Scholar
Zeliang Zhang
Google Scholar ID: 7nLfsSgAAAAJ
PhD Candidate @ University of Rochester; BEng @ HUST
trustworthy and efficient AI
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Citations & Impact
All-time
Citations
582
H-index
12
i10-index
15
Publications
20
Co-authors
17
list available
Contact
Email
zzh136@ur.rochester.edu
GitHub
Open ↗
Publications
23 items
Does a Global Perspective Help Prune Sparse MoEs Elegantly?
2026
Cited
0
Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning
2026
Cited
0
Why Instruction-Based Unlearning Fails in Diffusion Models?
2026
Cited
0
Training Large Reasoning Models Efficiently via Progressive Thought Encoding
2026
Cited
0
Omni-Judge: Can Omni-LLMs Serve as Human-Aligned Judges for Text-Conditioned Audio-Video Generation?
2026
Cited
0
Advancing LLM-Based Security Automation with Customized Group Relative Policy Optimization for Zero-Touch Networks
2025
Cited
0
Directional Reasoning Injection for Fine-Tuning MLLMs
2025
Cited
0
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
2025
Cited
0
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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
Co-authors
17 total
Chenliang Xu
Associate Professor of Computer Science, University of Rochester
Susan Liang
University of Rochester
Mingqian Feng
University of Rochester
Xiaosen Wang
Huazhong university of Science and Technology
Jinyang Jiang
Peking University
Yijie Peng
Peking University
Rongyi Zhu
University of Rochester
Zhiyuan Wang
University of California, Santa Barbara
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