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ORCIDHongchang 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
[j6]Hongchang Zhang
, Kang Yang, Heng Liu, Jiali Hu, Yao Shu, Juan Zeng:
Small-Scale Pedestrian Detection Using Fusion Network and Probabilistic Loss. IEEE Access 12: 42509-42520 (2024)- [j5]Bing Zhang, Hongchang Zhang, Rong Ren, Zhen Wen, Qian Wang:
Approach to Detect Windows Malware Based on Malicious Tendency Image and ResNet Algorithm. Int. J. Softw. Eng. Knowl. Eng. 34(7): 1173-1197 (2024) - 2023
- [j4]Jie Yang, Hongchang Zhang, Peng Ning:
Path Planning and Trajectory Optimization Based on Improved APF and Multi-Target. IEEE Access 11: 139121-139132 (2023) - [c14]Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. AAAI 2023: 11210-11218 - [c13]Hongchang Zhang, Yixiu Mao, Boyuan Wang, Shuncheng He, Yi Xu, Xiangyang Ji:
In-sample Actor Critic for Offline Reinforcement Learning. ICLR 2023 - [c12]Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji:
Supported Trust Region Optimization for Offline Reinforcement Learning. ICML 2023: 23829-23851 - [c11]Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
Complementary Attention for Multi-Agent Reinforcement Learning. ICML 2023: 30776-30793 - [c10]Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji:
Supported Value Regularization for Offline Reinforcement Learning. NeurIPS 2023 - [c9]Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji:
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. NeurIPS 2023 - [i5]Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji:
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. CoRR abs/2309.12696 (2023) - [i4]Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji:
Supported Trust Region Optimization for Offline Reinforcement Learning. CoRR abs/2311.08935 (2023) - 2022
- [j3]Juntong Zeng, Jianzhun Shao, Shen Lin, Hongchang Zhang, Xiaoting Su, Xiaocong Lian, Yan Zhao, Xiangyang Ji, Zhe Zheng:
Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning. J. Am. Medical Informatics Assoc. 29(10): 1722-1732 (2022) - [c8]Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. AAAI 2022: 6884-6892 - [c7]Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji:
State Deviation Correction for Offline Reinforcement Learning. AAAI 2022: 9022-9030 - [c6]Hongchang Zhang, Liang Qi, Huijuan Ma:
A Method for AGV Double-Cycling Scheduling at Automated Container Terminals. Intelligent Information Processing 2022: 495-507 - [c5]Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji:
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning. NeurIPS 2022 - [c4]Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning. NeurIPS 2022 - 2021
- [j2]Shengbo Chen, Hongchang Zhang, Zhou Lei:
Person Re-Identification Based on Attention Mechanism and Context Information Fusion. Future Internet 13(3): 72 (2021) - [i3]Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. CoRR abs/2102.12957 (2021) - [i2]Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Reducing Conservativeness Oriented Offline Reinforcement Learning. CoRR abs/2103.00098 (2021) - [i1]Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. CoRR abs/2110.07940 (2021)
2010 – 2019
- 2015
- [j1]Yanmei Zhang, Shujuan Jiang, Guan Yuan, Xiaolin Ju, Hongchang Zhang:
An approach of class integration test order determination based on test levels. Softw. Pract. Exp. 45(5): 657-687 (2015) - 2012
- [c3]Shujuan Jiang, Wei Li, Haiyang Li, Yanmei Zhang, Hongchang Zhang, Yingqi Liu:
Fault Localization for Null Pointer Exception Based on Stack Trace and Program Slicing. QSIC 2012: 9-12 - [c2]Liping Chen, Xiaoping Wang, Xiong Gong, Hongchang Zhang, Fanli Zhou, Bin Gu, Lei Wang:
Modeling and Simulating CAN-Based Cyber-Physical Systems in Modelica. SERE (Companion) 2012: 152-157 - 2010
- [c1]Shujuan Jiang, Hongchang Zhang, Qingtan Wang, Yanmei Zhang:
A Debugging Approach for Java Runtime Exceptions Based on Program Slicing and Stack Traces. QSIC 2010: 393-398
Coauthor Index
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last updated on 2024-09-22 00:39 CEST by the dblp team
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