Zeliang Zhang

According to our database, Zeliang Zhang authored at least 38 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

How robust is your fair model? Exploring the robustness of prominent fairness strategies.

Edward A. Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim

Data Min. Knowl. Discov., July, 2025

OPENXRD: A Comprehensive Benchmark and Enhancement Framework for LLM/MLLM XRD Question Answering.

Ali Vosoughi, Ayoub Shahnazari, Yufeng Xi, Zeliang Zhang, Griffin Hess, Chenliang Xu, Niaz Abdolrahim

CoRR, July, 2025

MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness.

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

CoRR, May, 2025

The Sword of Damocles in ViTs: Computational Redundancy Amplifies Adversarial Transferability.

Jiani Liu, Zhiyuan Wang, Zeliang Zhang, Chao Huang, Susan Liang, Yunlong Tang, Chenliang Xu

CoRR, April, 2025

Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting.

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

CoRR, April, 2025

Forward Learning with Differential Privacy.

Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Yijie Peng, Chenliang Xu

CoRR, April, 2025

From 16-Bit to 1-Bit: Visual KV Cache Quantization for Memory-Efficient Multimodal Large Language Models.

Zeliang Zhang, Yifan Zhu, Susan Liang, Zhiyuan Wang, Jiani Liu, Haiting Lin, Mingjie Zhao, Chenliang Xu, Kun Wan, Wentian Zhao

CoRR, February, 2025

Generative AI for Cel-Animation: A Survey.

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

CoRR, January, 2025

Noise Optimization in Artificial Neural Networks.

Li Xiao, Zeliang Zhang, Kuihua Huang, Jinyang Jiang, Yijie Peng

IEEE Trans Autom. Sci. Eng., 2025

Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives.

Zeliang Zhang, Susan Liang, Daiki Shimada, Chenliang Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FLOPS: Forward Learning with OPtimal Sampling.

Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Targeted Forgetting of Image Subgroups in CLIP Models.

Zeliang Zhang, Gaowen Liu, Charles Fleming, Ramana Rao Kompella, Chenliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?

Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts.

Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?

Zeliang Zhang, Xin Liang, Mingqian Feng, Susan Liang, Chenliang Xu

CoRR, 2024

Understanding Model Ensemble in Transferable Adversarial Attack.

Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu

CoRR, 2024

Quadratic Is Not What You Need For Multimodal Large Language Models.

Phu Pham, Wentian Zhao, Kun Wan, Yu-Jhe Li, Zeliang Zhang, Daniel Miranda, Ajinkya Kale, Chenliang Xu

CoRR, 2024

Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?

Mingqian Feng, Yunlong Tang, Zeliang Zhang, Chenliang Xu

CoRR, 2024

Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training.

Zeliang Zhang, Jinyang Jiang, Zhuo Liu, Susan Liang, Yijie Peng, Chenliang Xu

CoRR, 2024

Bag of Tricks to Boost Adversarial Transferability.

Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu

CoRR, 2024

ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers.

Qingxiong Tan, Jin Xiao, Jiayang Chen, Yixuan Wang, Zeliang Zhang, Tiancheng Zhao, Yu Li

Briefings Bioinform., 2024

One Forward is Enough for Neural Network Training via Likelihood Ratio Method.

Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP.

Zeliang Zhang, Zhuo Liu, Mingqian Feng, Chenliang Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Random Smooth-based Certified Defense against Text Adversarial Attack.

Zeliang Zhang, Wei Yao, Susan Liang, Chenliang Xu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Learning to Transform Dynamically for Better Adversarial Transferability.

Rongyi Zhu, Zeliang Zhang, Zhuo Liu, Chenliang Xu, Susan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Discover and Mitigate Multiple Biased Subgroups in Image Classifiers.

Zeliang Zhang, Mingqian Feng, Zhiheng Li, Chenliang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

High-Performance Tensor Learning Primitives Using GPU Tensor Cores.

Xiao-Yang Liu, Zeliang Zhang, Zhiyuan Wang, Han Lu, Xiaodong Wang, Anwar Walid

IEEE Trans. Computers, June, 2023

Video Understanding with Large Language Models: A Survey.

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

CoRR, 2023

Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores.

Zeliang Zhang, Zhuo Liu, Susan Liang, Zhiyuan Wang, Yifan Zhu, Chen Ding, Chenliang Xu

CoRR, 2023

Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method.

Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng

CoRR, 2023

A Novel Noise Injection-based Training Scheme for Better Model Robustness.

Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu

CoRR, 2023

Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark.

Xiao-Yang Liu, Zeliang Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structure Invariant Transformation for better Adversarial Transferability.

Xiaosen Wang, Zeliang Zhang, Jianping Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diversifying the High-level Features for better Adversarial Transferability.

Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies.

Edward Small, Wei Shao, Zeliang Zhang, Peihan Liu, Jeffrey Chan, Kacper Sokol, Flora D. Salim

CoRR, 2022

Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack.

Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

Noise Optimization in Artificial Neural Networks.

Li Xiao, Zeliang Zhang, Jinyang Jiang, Yijie Peng

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Noise Optimization for Artificial Neural Networks.

Li Xiao, Zeliang Zhang, Yijie Peng

CoRR, 2021