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Shudong Zhang
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2020 – today
- 2024
- [j14]Wenjin Liu, Shudong Zhang, Lijuan Zhou, Ning Luo, Min Xu:
A semi-supervised mixture model of visual language multitask for vehicle recognition. Appl. Soft Comput. 159: 111619 (2024) - [j13]Wenjin Liu, Shudong Zhang, Lijuan Zhou, Ning Luo, Qian Chen:
Sound to expression: Using emotional sound to guide facial expression editing. J. King Saud Univ. Comput. Inf. Sci. 36(3): 101998 (2024) - [j12]Shudong Zhang, Haichang Gao, Chao Shu, Xiwen Cao, Yunyi Zhou, Jianping He:
Black-box Bayesian adversarial attack with transferable priors. Mach. Learn. 113(4): 1511-1528 (2024) - [c13]Hao Wang, Shangwei Guo, Jialing He, Kangjie Chen, Shudong Zhang, Tianwei Zhang, Tao Xiang:
EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second. ACM Multimedia 2024: 3657-3665 - [i3]Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang:
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users. CoRR abs/2405.19360 (2024) - 2023
- [j11]Lijuan Zhou, Wenjin Liu, Shudong Zhang, Ning Luo, Min Xu:
CRMNet: Development of a Deep-Learning-Based Anchor-Free Detection Method for Illegal Building Objects. Int. J. Pattern Recognit. Artif. Intell. 37(6): 2352007:1-2352007:31 (2023) - [c12]Shudong Zhang:
A Fast Estimation Network Model Based on Process Compression and an Optimized Parameter Search Algorithm for Q-Learning. ICCSE (2) 2023: 14-26 - 2022
- [j10]Wenjin Liu, Shudong Zhang, Lijuan Zhou, Min Xu, Zhongshan Ren:
High-precision automatic detection method of illegal construction object images in complex scenes. J. Electronic Imaging 32(3) (2022) - [j9]Xiangyang Huang, Shudong Zhang, Lijuan Zhou, LiGuo Huang:
A hybrid algorithm for the minimum bounding sphere problem. Oper. Res. Lett. 50(2): 150-154 (2022) - [c11]Shudong Zhang, Haichang Gao, Yunyi Zhou, Zihui Wu, Yiwen Tang:
Consistency Regularization Helps Mitigate Robust Overfitting in Adversarial Training. KSEM (3) 2022: 734-746 - [i2]Shudong Zhang, Haichang Gao, Tianwei Zhang, Yunyi Zhou, Zihui Wu:
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization. CoRR abs/2205.11744 (2022) - [i1]Zihui Wu, Haichang Gao, Bingqian Zhou, Xiaoyan Guo, Shudong Zhang:
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. CoRR abs/2208.12511 (2022) - 2021
- [j8]Shudong Zhang, Haichang Gao, Qingxun Rao:
Defense Against Adversarial Attacks by Reconstructing Images. IEEE Trans. Image Process. 30: 6117-6129 (2021) - [c10]Bin Lu, Lijuan Zhou, Shudong Zhang, Xin Chen, Weidong Feng:
Detection of small objects in complex long-distance scenes based on Yolov3. DSIT 2021: 98-102 - [c9]Yipeng Gao, Haichang Gao, Sainan Luo, Yang Zi, Shudong Zhang, Wenjie Mao, Ping Wang, Yulong Shen, Jeff Yan:
Research on the Security of Visual Reasoning CAPTCHA. USENIX Security Symposium 2021: 3291-3308 - 2020
- [j7]Lijuan Zhou, Kai Feng, Hui Li, Shudong Zhang, Xiangyang Huang:
Efficiency Optimization of Capsule Network Model Based on Vector Element. Int. J. Pattern Recognit. Artif. Intell. 34(10): 2052006:1-2052006:14 (2020) - [c8]Lun Meng, Yao Sun, Shudong Zhang:
Capestor: A Service Mesh-Based Capacity Estimation Framework for Cloud Applications. CLOUD 2020: 242-249 - [c7]Lijuan Zhou, Bin Lu, Shudong Zhang, Laijun Qi:
Data Cache Optimization Model Based on HBase and Redis. DSIT 2020: 31-35 - [c6]Lun Meng, Yao Sun, Shudong Zhang:
Midiag: A Sequential Trace-Based Fault Diagnosis Framework for Microservices. SCC 2020: 137-144 - [c5]Yao Sun, Wenming Gui, Cheng Han, Yan Zhang, Shudong Zhang:
AIServiceX: A Knowledge Graph-Based Intelligent Question-Answering System for Personal Services. SERVICES 2020: 85-92
2010 – 2019
- 2019
- [j6]Zhichao Xing, Guoye Wang, Zhangpeng Gong, Shudong Zhang, Dongxin Xu, Sijie Peng:
Double-Drum Test Bench for Variable Load Transfer Simulation by Electromechanical Inertia Compensation. Sensors 19(19): 4322 (2019) - [c4]Ran Li, Lijuan Zhou, Shudong Zhang, Hui Liu, Xiangyang Huang, Zhong Sun:
Software Defect Prediction Based on Ensemble Learning. DSIT 2019: 1-6 - 2018
- [j5]Lijuan Zhou, Ran Li, Shudong Zhang, Hua Wang:
Imbalanced Data Processing Model for Software Defect Prediction. Wirel. Pers. Commun. 102(2): 937-950 (2018) - 2017
- [j4]Xuedi Gao, Lijuan Zhou, Shudong Zhang, Haoming Liu:
基于改进遗传算法的测试数据自动生成的研究 (Research on Test Data Automatic Generation Based on Improved Genetic Algorithm). 计算机科学 44(3): 209-214 (2017) - [j3]Xiangyang Huang, Shudong Zhang, Yuanyuan Shang, Weigong Zhang, Jie Liu:
Creating Affective Autonomous Characters Using Planning in Partially Observable Stochastic Domains. IEEE Trans. Comput. Intell. AI Games 9(1): 42-62 (2017) - [c3]Xiangyang Huang, LiGuo Huang, Shudong Zhang, Lijuan Zhou, Minhua Wu, Mingrui Chen:
Improving Random Test Sets Using a Locally Spreading Approach. QRS 2017: 32-41 - [c2]Xiangyang Huang, LiGuo Huang, Shudong Zhang, Lijuan Zhou:
Swarm-Based Spreading Points. ICSI (2) 2017: 158-166 - 2016
- [c1]Huimin Chen, Shudong Zhang:
Emitter detection system design with range dependent observations. FUSION 2016: 1364-1368
2000 – 2009
- 2005
- [j2]C. Alfarano, C. E. Andrade, K. Anthony, N. Bahroos, Martha Bajec, K. Bantoft, Doron Betel, B. Bobechko, K. Boutilier, E. Burgess, K. Buzadzija, R. Cavero, C. D'Abreo, Ian M. Donaldson, D. Dorairajoo, Michel Justin Dumontier, M. R. Dumontier, V. Earles, R. Farrall, Howard J. Feldman, E. Garderman, Y. Gong, R. Gonzaga, V. Grytsan, E. Gryz, V. Gu, E. Haldorsen, A. Halupa, Robin Haw, A. Hrvojic, L. Hurrell, Ruth Isserlin, F. Jack, F. Juma, A. Khan, T. Kon, S. Konopinsky, V. Le, E. Lee, S. Ling, M. Magidin, J. Moniakis, J. Montojo, S. Moore, B. Muskat, I. Ng, J. P. Paraiso, Benjamin D. Parker, Greg Pintilie, R. Pirone, John J. Salama, S. Sgro, T. Shan, Y. Shu, J. Siew, D. Skinner, Kevin A. Snyder, R. Stasiuk, D. Strumpf, Brigitte Tuekam, S. Tao, Z. Wang, M. White, R. Willis, Cheryl Wolting, S. Wong, A. Wrong, C. Xin, R. Yao, B. Yates, Shudong Zhang, K. Zheng, Tony Pawson, B. F. Francis Ouellette, Christopher W. V. Hogue:
The Biomolecular Interaction Network Database and related tools 2005 update. Nucleic Acids Res. 33(Database-Issue): 418-424 (2005) - 2003
- [j1]Ian M. Donaldson, Joel D. Martin, Berry de Bruijn, Cheryl Wolting, Vicki Lay, Brigitte Tuekam, Shudong Zhang, Berivan Baskin, Gary D. Bader, Katerina Michalickova, Tony Pawson, Christopher W. V. Hogue:
PreBIND and Textomy - mining the biomedical literature for protein-protein interactions using a support vector machine. BMC Bioinform. 4: 11 (2003)
Coauthor Index
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last updated on 2024-11-07 20:31 CET by the dblp team
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