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ORCIDShengchao Yuan
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2020 – today
- 2025
[c8]Shengchao Yuan, Xiaoxin Bai:
LPBS: A RL-PPO Driven K8S Batch Processing Task Scheduler. ICASSP 2025: 1-5- [c7]Xiaoxin Bai, JunYang Yang, Shengchao Yuan, Yinghao Zhang, Hanqian Wu:
Local Topological Information as a Powerful Enhancer for Generalizable Neural Method in Travelling Salesman Problem. AAMAS 2025: 188-196 - 2024
- [j1]Chenglong Zhao
, Shibin Mei, Bingbing Ni, Shengchao Yuan, Zhenbo Yu, Jun Wang:
Variational Adversarial Defense: A Bayes Perspective for Adversarial Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3047-3063 (2024) - 2023
- [c6]Shibin Mei, Chenglong Zhao, Bingbing Ni, Shengchao Yuan:
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples. AAAI 2023: 9126-9133 - [c5]Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Exploring and Utilizing Pattern Imbalance. CVPR 2023: 7569-7578 - [c4]Yang Cao, Wenbin Song, Hanqian Wu, Shengchao Yuan:
DLFaaS:Serverless Platform for Data-Intensive Tasks Based on Interval Access Patterns. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 675-680 - [i2]Shengchao Yuan, Yishun Dou, Rui Shi, Bingbing Ni, Zhong Zheng:
SieveNet: Selecting Point-Based Features for Mesh Networks. CoRR abs/2308.12530 (2023) - 2022
- [c3]Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Towards Bridging Sample Complexity and Model Capacity. AAAI 2022: 1972-1980 - [c2]Shengchao Yuan, Yimin Zhou, Lei Shi, Yongxin Huang:
Dangerous Action Recognition for Ship Sailing to Limited Resource Environment. CyberC 2022: 258-262 - [c1]Zhengyan Tong, Xiaohang Wang, Shengchao Yuan, Xuanhong Chen, Junjie Wang, Xiangzhong Fang:
Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling. ACM Multimedia 2022: 1035-1046 - [i1]Zhengyan Tong, Xiaohang Wang, Shengchao Yuan, Xuanhong Chen, Junjie Wang, Xiangzhong Fang:
Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling. CoRR abs/2209.13219 (2022)
Coauthor Index
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