Zeliang Zhang

According to our database, Zeliang Zhang authored at least 41 papers between 2017 and 2024.

Collaborative distances:

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

2024

CTU-Level Adaptive QP Offset Algorithm for V-PCC Using JND and Spatial Complexity.

Mengmeng Zhang, Zeliang Zhang, Yuan Li, Ran Cheng, Hongyuan Jing, Zhi Liu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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

FLOPS: Forward Learning with OPtimal Sampling.

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

CoRR, 2024

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

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

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

Structure Invariant Transformation for better Adversarial Transferability.

Xiaosen Wang, Zeliang Zhang, Jianping Zhang

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

Improving Adversarial Transferability with Scheduled Step Size and Dual Example.

Zeliang Zhang, Peihan Liu, Xiaosen Wang, Chenliang Xu

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

An Improved Current Prediction Model for PMSM Drives Under Single Open-Phase Fault Considering Floating Motor Neutral.

Zeliang Zhang, Mohammed Alkahtani, Yihua Hu, Chao Gong, Yuxuan Du, Guangzhao Luo

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 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

Sensing with Femtosecond Laser Filamentation.

Pengfei Qi, Wenqi Qian, Lanjun Guo, Jiayun Xue, Nan Zhang, Yuezheng Wang, Zhi Zhang, Zeliang Zhang, Lie Lin, Changlin Sun, Liguo Zhu, Weiwei Liu

Sensors, 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

Action Games Evolution Analysis: A Case Study Using the God of War Series.

Zeliang Zhang, Naying Gao, Siqi Li, Mohd Nor Akmal Khalid, Hiroyuki Iida

IEEE Access, 2022

Implications of Jerk's On the Measure of Game's Entertainment: Discovering Potentially Addictive Games.

Naying Gao, Hengyuan Chang, Zeliang Zhang, Mohd Nor Akmal Khalid, Hiroyuki Iida

IEEE Access, 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

Bridging Ride and Play Comfort.

Zeliang Zhang, Xiaohan Kang, Mohd Nor Akmal Khalid, Hiroyuki Iida

Inf., 2021

MMORPG Evolution Analysis from Explorer and Achiever Perspectives: A Case Study Using the Final Fantasy Series.

Haolan Wang, Zeliang Zhang, Mohd Nor Akmal Khalid, Hiroyuki Iida, Keqiu Li

Inf., 2021

Noise Optimization for Artificial Neural Networks.

Li Xiao, Zeliang Zhang, Yijie Peng

CoRR, 2021

A Review on Conductive Common-Mode EMI Suppression Methods in Inverter Fed Motor Drives.

Zeliang Zhang, Yihua Hu, Xiao Chen, Geraint Wyn Jewell, Hong Li

IEEE Access, 2021

2020

Big data analysis with artificial intelligence technology based on machine learning algorithm.

Zeliang Zhang

J. Intell. Fuzzy Syst., 2020

2019

Analysis of Boardgames using Eye-tracking: Case Study with Gomoku.

Xiaohan Kang, Zeliang Zhang, Anggina Primanita, Mohd Nor Akmal Khalid, Hiroyuki Iida, Bing Han

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

2018

Fast Linear Attitude Estimation and Angular Rate Genseration.

Zeliang Zhang, Zebo Zhou, Jin Wu, Shuang Du, Hassen Fourati

Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

E-learning Rhythm Design: Case Study Using Fighting Games.

Shuo Xiong, Long Zuo, Zeliang Zhang, Shuo Zhang, Hiroyuki Iida

Proceedings of the E-Learning and Games - 12th International Conference, 2018

2017

Individual game information evaluation using signal processing measurement.

Shuo Xiong, Long Zuo, Zeliang Zhang, Hiroyuki Iida

Proceedings of the 4th International Conference on Systems and Informatics, 2017