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ORCIDZeliang Zhang 0001
Person information
- affiliation: University of Rochester, Department of Computer Science, NY, USA
- affiliation (former): Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
Other persons with the same name
- Zeliang Zhang — disambiguation page
- Zeliang Zhang 0002
![[0000-0003-0329-8693]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0329-8693")
— Japan Advanced Institute of Science and Technology (JAIST), School of Information Science, Ishikawa, Japan - Zeliang Zhang 0003 — University of Nottingham, Power Electronics, Machines, and Control Research Institute, Nottingham, UK (and 2 more)
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2020 – today
- 2025
[j4]Edward A. Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim:
How robust is your fair model? Exploring the robustness of prominent fairness strategies. Data Min. Knowl. Discov. 39(4): 41 (2025)- [j3]Li Xiao, Zeliang Zhang, Kuihua Huang, Jinyang Jiang, Yijie Peng:
Noise Optimization in Artificial Neural Networks. IEEE Trans Autom. Sci. Eng. 22: 2780-2793 (2025) - [c15]Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao:
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. ACL (Findings) 2025: 86-102 - [c14]Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu:
VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? CVPR 2025: 8490-8500 - [c13]Zeliang Zhang, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Chenliang Xu:
Targeted Forgetting of Image Subgroups in CLIP Models. CVPR 2025: 9870-9880 - [c12]Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng:
FLOPS: Forward Learning with OPtimal Sampling. ICLR 2025 - [c11]Zeliang Zhang, Susan Liang, Daiki Shimada, Chenliang Xu:
Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives. ICLR 2025 - [i30]Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu:
Generative AI for Cel-Animation: A Survey. CoRR abs/2501.06250 (2025) - [i29]Zeliang Zhang, Susan Liang, Daiki Shimada, Chenliang Xu:
Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives. CoRR abs/2502.11858 (2025) - [i28]Zeliang Zhang, Yifan Zhu, Susan Liang, Zhiyuan Wang, Jiani Liu, Haiting Lin, Mingjie Zhao, Chenliang Xu, Kun Wan, Wentian Zhao:
From 16-Bit to 1-Bit: Visual KV Cache Quantization for Memory-Efficient Multimodal Large Language Models. CoRR abs/2502.14882 (2025) - [i27]Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Yijie Peng, Chenliang Xu:
Forward Learning with Differential Privacy. CoRR abs/2504.00411 (2025) - [i26]Yunlong Tang, Jing Bi, Chao Huang, Susan Liang, Daiki Shimada, Hang Hua, Yunzhong Xiao, Yizhi Song, Pinxin Liu, Mingqian Feng, Junjia Guo, Zhuo Liu, Luchuan Song, Ali Vosoughi, Jinxi He, Liu He, Zeliang Zhang, Jiebo Luo, Chenliang Xu:
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. CoRR abs/2504.05541 (2025) - [i25]Jiani Liu, Zhiyuan Wang, Zeliang Zhang, Chao Huang, Susan Liang, Yunlong Tang, Chenliang Xu:
The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability. CoRR abs/2504.10804 (2025) - [i24]Yunlong Tang, Pinxin Liu, Mingqian Feng, Zhangyun Tan, Rui Mao, Chao Huang, Jing Bi, Yunzhong Xiao, Susan Liang, Hang Hua, Ali Vosoughi, Luchuan Song, Zeliang Zhang, Chenliang Xu:
MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness. CoRR abs/2505.20426 (2025) - [i23]Zeliang Zhang, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Chenliang Xu:
Targeted Forgetting of Image Subgroups in CLIP Models. CoRR abs/2506.03117 (2025) - [i22]Ali Vosoughi, Ayoub Shahnazari, Yufeng Xi, Zeliang Zhang, Griffin Hess, Chenliang Xu, Niaz Abdolrahim:
OPENXRD: A Comprehensive Benchmark and Enhancement Framework for LLM/MLLM XRD Question Answering. CoRR abs/2507.09155 (2025) - 2024
- [j2]Qingxiong Tan, Jin Xiao, Jiayang Chen, Yixuan Wang, Zeliang Zhang, Tiancheng Zhao, Yu Li:
ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers. Briefings Bioinform. 25(4) (2024) - [c10]Zeliang Zhang, Mingqian Feng, Zhiheng Li, Chenliang Xu:
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers. CVPR 2024: 10906-10915 - [c9]Rongyi Zhu, Zeliang Zhang, Zhuo Liu, Chenliang Xu, Susan Liang:
Learning to Transform Dynamically for Better Adversarial Transferability. CVPR 2024: 24273-24283 - [c8]Zeliang Zhang, Wei Yao, Susan Liang, Chenliang Xu:
Random Smooth-based Certified Defense against Text Adversarial Attack. EACL (Findings) 2024: 1251-1265 - [c7]Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu:
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP. EMNLP (Findings) 2024: 1081-1086 - [c6]Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng:
One Forward is Enough for Neural Network Training via Likelihood Ratio Method. ICLR 2024 - [i21]Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu:
Bag of Tricks to Boost Adversarial Transferability. CoRR abs/2401.08734 (2024) - [i20]Zeliang Zhang, Jinyang Jiang, Zhuo Liu, Susan Liang, Yijie Peng, Chenliang Xu:
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training. CoRR abs/2403.12320 (2024) - [i19]Zeliang Zhang, Mingqian Feng, Zhiheng Li, Chenliang Xu:
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers. CoRR abs/2403.12777 (2024) - [i18]Rongyi Zhu, Zeliang Zhang, Susan Liang, Zhuo Liu, Chenliang Xu:
Learning to Transform Dynamically for Better Adversarial Transferability. CoRR abs/2405.14077 (2024) - [i17]Mingqian Feng, Yunlong Tang, Zeliang Zhang, Chenliang Xu:
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning? CoRR abs/2406.12663 (2024) - [i16]Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao:
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. CoRR abs/2407.09590 (2024) - [i15]Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu:
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP. CoRR abs/2409.15035 (2024) - [i14]Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng:
FLOPS: Forward Learning with OPtimal Sampling. CoRR abs/2410.05966 (2024) - [i13]Phu Pham, Wentian Zhao, Kun Wan, Yu-Jhe Li, Zeliang Zhang, Daniel Miranda, Ajinkya Kale, Chenliang Xu:
Quadratic Is Not What You Need For Multimodal Large Language Models. CoRR abs/2410.06169 (2024) - [i12]Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu:
Understanding Model Ensemble in Transferable Adversarial Attack. CoRR abs/2410.06851 (2024) - [i11]Zeliang Zhang, Xin Liang, Mingqian Feng, Susan Liang, Chenliang Xu:
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? CoRR abs/2410.10160 (2024) - [i10]Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu:
VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? CoRR abs/2411.10979 (2024) - 2023
- [j1]Xiao-Yang Liu, Zeliang Zhang, Zhiyuan Wang, Han Lu, Xiaodong Wang, Anwar Walid:
High-Performance Tensor Learning Primitives Using GPU Tensor Cores. IEEE Trans. Computers 72(6): 1733-1746 (2023) - [c5]Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang:
Diversifying the High-level Features for better Adversarial Transferability. BMVC 2023: 70-76 - [c4]Xiaosen Wang, Zeliang Zhang, Jianping Zhang:
Structure Invariant Transformation for better Adversarial Transferability. ICCV 2023: 4584-4596 - [c3]Xiao-Yang Liu, Zeliang Zhang:
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark. NeurIPS 2023 - [i9]Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu:
A Novel Noise Injection-based Training Scheme for Better Model Robustness. CoRR abs/2302.10802 (2023) - [i8]Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang:
Diversifying the High-level Features for better Adversarial Transferability. CoRR abs/2304.10136 (2023) - [i7]Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng:
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. CoRR abs/2305.08960 (2023) - [i6]Xiaosen Wang, Zeliang Zhang, Jianping Zhang:
Structure Invariant Transformation for better Adversarial Transferability. CoRR abs/2309.14700 (2023) - [i5]Zeliang Zhang, Zhuo Liu, Susan Liang, Zhiyuan Wang, Yifan Zhu, Chen Ding, Chenliang Xu:
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores. CoRR abs/2311.13693 (2023) - [i4]Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu:
Video Understanding with Large Language Models: A Survey. CoRR abs/2312.17432 (2023) - 2022
- [c2]Li Xiao, Zeliang Zhang, Jinyang Jiang, Yijie Peng:
Noise Optimization in Artificial Neural Networks. CASE 2022: 1595-1600 - [c1]Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu:
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. ECCV (5) 2022: 156-174 - [i3]Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim:
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies. CoRR abs/2207.04581 (2022) - 2021
- [i2]Li Xiao, Zeliang Zhang, Yijie Peng:
Noise Optimization for Artificial Neural Networks. CoRR abs/2102.04450 (2021) - [i1]Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu:
Triangle Attack: A Query-efficient Decision-based Adversarial Attack. CoRR abs/2112.06569 (2021)
Coauthor Index
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