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ORCIDZeliang Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]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)- [j9]Mengmeng Zhang, Zeliang Zhang, Yuan Li, Ran Cheng, Hongyuan Jing, Zhi Liu:
CTU-Level Adaptive QP Offset Algorithm for V-PCC Using JND and Spatial Complexity. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(8): 1400-1403 (2024) - [c15]Zeliang Zhang, Mingqian Feng, Zhiheng Li, Chenliang Xu:
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers. CVPR 2024: 10906-10915 - [c14]Rongyi Zhu, Zeliang Zhang, Zhuo Liu, Chenliang Xu, Susan Liang:
Learning to Transform Dynamically for Better Adversarial Transferability. CVPR 2024: 24273-24283 - [c13]Zeliang Zhang, Wei Yao, Susan Liang, Chenliang Xu:
Random Smooth-based Certified Defense against Text Adversarial Attack. EACL (Findings) 2024: 1251-1265 - [c12]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 - [c11]Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng:
One Forward is Enough for Neural Network Training via Likelihood Ratio Method. ICLR 2024 - [i22]Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu:
Bag of Tricks to Boost Adversarial Transferability. CoRR abs/2401.08734 (2024) - [i21]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) - [i20]Zeliang Zhang, Mingqian Feng, Zhiheng Li, Chenliang Xu:
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers. CoRR abs/2403.12777 (2024) - [i19]Rongyi Zhu, Zeliang Zhang, Susan Liang, Zhuo Liu, Chenliang Xu:
Learning to Transform Dynamically for Better Adversarial Transferability. CoRR abs/2405.14077 (2024) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu:
Understanding Model Ensemble in Transferable Adversarial Attack. CoRR abs/2410.06851 (2024) - [i12]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) - [i11]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
- [j8]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) - [c10]Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang:
Diversifying the High-level Features for better Adversarial Transferability. BMVC 2023: 70-76 - [c9]Xiaosen Wang, Zeliang Zhang, Jianping Zhang:
Structure Invariant Transformation for better Adversarial Transferability. ICCV 2023: 4584-4596 - [c8]Zeliang Zhang, Mohammed Alkahtani, Yihua Hu, Chao Gong, Yuxuan Du, Guangzhao Luo:
An Improved Current Prediction Model for PMSM Drives Under Single Open-Phase Fault Considering Floating Motor Neutral. IECON 2023: 1-6 - [c7]Xiao-Yang Liu, Zeliang Zhang:
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark. NeurIPS 2023 - [i10]Zeliang Zhang, Peihan Liu, Xiaosen Wang, Chenliang Xu:
Improving Adversarial Transferability with Scheduled Step Size and Dual Example. CoRR abs/2301.12968 (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
- [j7]Zeliang Zhang, Naying Gao, Siqi Li, Mohd Nor Akmal Khalid, Hiroyuki Iida:
Action Games Evolution Analysis: A Case Study Using the God of War Series. IEEE Access 10: 123697-123710 (2022) - [j6]Naying Gao, Hengyuan Chang, Zeliang Zhang, Mohd Nor Akmal Khalid, Hiroyuki Iida:
Implications of Jerk's On the Measure of Game's Entertainment: Discovering Potentially Addictive Games. IEEE Access 10: 134362-134376 (2022) - [j5]Pengfei Qi, Wenqi Qian, Lanjun Guo, Jiayun Xue, Nan Zhang, Yuezheng Wang, Zhi Zhang, Zeliang Zhang, Lie Lin, Changlin Sun, Liguo Zhu, Weiwei Liu:
Sensing with Femtosecond Laser Filamentation. Sensors 22(18): 7076 (2022) - [c6]Li Xiao, Zeliang Zhang, Jinyang Jiang, Yijie Peng:
Noise Optimization in Artificial Neural Networks. CASE 2022: 1595-1600 - [c5]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
- [j4]Zeliang Zhang, Yihua Hu, Xiao Chen, Geraint Wyn Jewell, Hong Li:
A Review on Conductive Common-Mode EMI Suppression Methods in Inverter Fed Motor Drives. IEEE Access 9: 18345-18360 (2021) - [j3]Zeliang Zhang, Xiaohan Kang, Mohd Nor Akmal Khalid, Hiroyuki Iida:
Bridging Ride and Play Comfort. Inf. 12(3): 119 (2021) - [j2]Haolan Wang, Zeliang Zhang, Mohd Nor Akmal Khalid, Hiroyuki Iida, Keqiu Li:
MMORPG Evolution Analysis from Explorer and Achiever Perspectives: A Case Study Using the Final Fantasy Series. Inf. 12(6): 229 (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) - 2020
- [j1]Zeliang Zhang:
Big data analysis with artificial intelligence technology based on machine learning algorithm. J. Intell. Fuzzy Syst. 39(5): 6733-6740 (2020)
2010 – 2019
- 2019
- [c4]Xiaohan Kang, Zeliang Zhang, Anggina Primanita, Mohd Nor Akmal Khalid, Hiroyuki Iida, Bing Han:
Analysis of Boardgames using Eye-tracking: Case Study with Gomoku. TAAI 2019: 1-6 - 2018
- [c3]Shuo Xiong, Long Zuo, Zeliang Zhang, Shuo Zhang, Hiroyuki Iida:
E-learning Rhythm Design: Case Study Using Fighting Games. Edutainment 2018: 293-302 - [c2]Zeliang Zhang, Zebo Zhou, Jin Wu, Shuang Du, Hassen Fourati:
Fast Linear Attitude Estimation and Angular Rate Genseration. IPIN 2018: 206-212 - 2017
- [c1]Shuo Xiong, Long Zuo, Zeliang Zhang, Hiroyuki Iida:
Individual game information evaluation using signal processing measurement. ICSAI 2017: 1400-1404
Coauthor Index
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