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Liang Ou
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2020 – today
- 2024
- [j6]Chin-Teng Lin, Haichao Zhang, Liang Ou, Yu-Cheng Chang, Yu-Kai Wang:
Adaptive Trust Model for Multi-Agent Teaming Based on Reinforcement-Learning-Based Fusion. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 229-239 (2024) - [j5]Liang Ou, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin:
Fuzzy Centered Explainable Network for Reinforcement Learning. IEEE Trans. Fuzzy Syst. 32(1): 203-213 (2024) - [i1]Xiaowei Jiang, Beining Cao, Liang Ou, Yu-Cheng Chang, Thomas Do, Chin-Teng Lin:
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System. CoRR abs/2410.12267 (2024) - 2023
- [j4]Yun Chen, Chongsen Ma, Liang Ou:
Proliferation mechanism of collusive alienation in tendering for government investment projects. J. Intell. Fuzzy Syst. 44(4): 5937-5952 (2023) - [c13]Liang Ou, Thomas Tien-Thong Do, Xuan-The Tran, Daniel Leong, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin:
Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering. AI (2) 2023: 376-386 - [c12]Liang Ou, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin:
Explain Reinforcement Learning Agents Through Fuzzy Rule Reconstruction. FUZZ 2023: 1-6 - 2022
- [j3]Ruhan Liu, Liang Ou, Bin Sheng, Pei Hao, Ping Li, Xiaokang Yang, Guangtao Xue, Lei Zhu, Yuyang Luo, Ping Zhang, Po Yang, Huating Li, David Dagan Feng:
Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. IEEE Trans. Biomed. Eng. 69(8): 2557-2568 (2022) - [c11]Shuxin Qin, Jing Zhu, Dan Wang, Liang Ou, Hongxin Gui, Gaofeng Tao:
Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection. IEEE Big Data 2022: 1090-1098 - [c10]Jing Zhu, Dan Wang, Shuxin Qin, Gaofeng Tao, Hongxin Gui, Fang Li, Liang Ou:
Towards Network Dynamics: Adaptive Buffer Management with Deep Reinforcement Learning. GLOBECOM 2022: 4935-4940 - 2021
- [c9]Jakub Kwiatkowski, Liang Ou, Yu-Cheng Chang, Chin-Teng Lin:
Explainable Hybrid CNN and FNN Approach Applied on Robotic Wall-Following Behaviour Learning. AIPR 2021: 623-628 - 2020
- [j2]Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang:
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124: 130-145 (2020) - [c8]Liang Ou, Guanhua Zeng, Yu-Cheng Chang, Chin-Teng Lin:
Multi-Objective Vibration-Based Particle-Swarm-Optimized Fuzzy Controller With Application to Boundary-Following of Mobile-Robot Simulation Environment. SMC 2020: 1893-1898
2010 – 2019
- 2017
- [c7]Zhida Tang, Mengling Yu, Wei Liu, Liang Ou, Jun Wu:
PCA-Aware Anomaly Correction for Traffic Matrix in an IP Backbone Network. ISPA/IUCC 2017: 1394-1398 - 2014
- [c6]Wei Liu, Ao Hong, Liang Ou, Wenchao Ding, Ge Zhang:
Prediction and correction of traffic matrix in an IP backbone network. IPCCC 2014: 1-9
2000 – 2009
- 2006
- [c5]Linfeng Yuan, Zongkai Yang, Liang Ou, Wenqing Cheng, Xu Du:
An Energy-Aware Position-Based Routing Strategy. GPC 2006: 279-288 - [c4]Huaxiong Yao, Zongkai Yang, Liang Ou, Xiansi Tan:
A Transceiver Saving Auxiliary Graph Model for Dynamic Traffic Grooming in WDM Mesh Networks. LCN 2006: 319-326 - 2005
- [c3]Liang Ou, Xiansi Tan, Huaxiong Yao, Wenqing Cheng:
A Study on Dynamic Load Balanced Routing Techniques in Time-Slotted Optical Burst Switched Networks. ICCNMC 2005: 722-731 - [c2]Xiansi Tan, Liang Ou, Wenqing Cheng:
An Analytical Model and A Fast Mechanism for Fault Restoration in IP over WDM Networks Based on n: m Scheme. LCN 2005: 226-233 - [c1]Liang Ou, Xiansi Tan, Yajie Ma, Zongkai Yang:
A Framework to Evaluate Blocking Performance of Time-slotted Optical Burst Switched Networks. LCN 2005: 258-267 - 2004
- [j1]Xiansi Tan, Zongkai Yang, Liang Ou, Jing-Wen Chen, Ya-Jie Ma:
An Analytical Framework for Performance of Different Fault Restoration Policies with QoS Constraints in MPLS Networks. J. Comput. Sci. Technol. 19(2): 158-168 (2004)
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last updated on 2024-11-25 23:38 CET by the dblp team
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