An Analytical Framework for Performance of Different Fault Restoration Policies with QoS Constraints in MPLS Networks. - Xiansi Tan; Zongkai Yang; Liang Ou; Jing-Wen Chen; Ya-Jie Ma (J. Comput. Sci. Technol., 2004)

A Study on Dynamic Load Balanced Routing Techniques in Time-Slotted Optical Burst Switched Networks. - Liang Ou; Xiansi Tan; Huaxiong Yao; Wenqing Cheng (ICCNMC, 2005)

A Framework to Evaluate Blocking Performance of Time-slotted Optical Burst Switched Networks. - Liang Ou; Xiansi Tan; Yajie Ma; Zongkai Yang (LCN, 2005)

An Analytical Model and A Fast Mechanism for Fault Restoration in IP over WDM Networks Based on n: m Scheme. - Xiansi Tan; Liang Ou; Wenqing Cheng (LCN, 2005)

An Energy-Aware Position-Based Routing Strategy. - Linfeng Yuan; Zongkai Yang; Liang Ou; Wenqing Cheng; Xu Du (GPC, 2006)

A Transceiver Saving Auxiliary Graph Model for Dynamic Traffic Grooming in WDM Mesh Networks. - Huaxiong Yao; Zongkai Yang; Liang Ou; Xiansi Tan (LCN, 2006)

Prediction and correction of traffic matrix in an IP backbone network. - Wei Liu 004; Ao Hong; Liang Ou; Wenchao Ding 002; Ge Zhang (IPCCC, 2014)

PCA-Aware Anomaly Correction for Traffic Matrix in an IP Backbone Network. - Zhida Tang; Mengling Yu; Wei Liu; Liang Ou; Jun Wu (ISPA/IUCC, 2017)

Multi-Objective Vibration-Based Particle-Swarm-Optimized Fuzzy Controller With Application to Boundary-Following of Mobile-Robot Simulation Environment. - Liang Ou; Guanhua Zeng; Yu-Cheng Chang; Chin-Teng Lin (SMC, 2020)

A causal discovery algorithm based on the prior selection of leaf nodes. - Yan Zeng 002; Zhifeng Hao; Ruichu Cai; Feng Xie 002; Liang Ou; Ruihui Huang (Neural Networks, 2020)

Explainable Hybrid CNN and FNN Approach Applied on Robotic Wall-Following Behaviour Learning. - Jakub Kwiatkowski; Liang Ou; Yu-Cheng Chang; Chin-Teng Lin (AIPR, 2021)

Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection. - Shuxin Qin; Jing Zhu; Dan Wang; Liang Ou; Hongxin Gui; Gaofeng Tao (IEEE Big Data, 2022)

Towards Network Dynamics: Adaptive Buffer Management with Deep Reinforcement Learning. - Jing Zhu; Dan Wang; Shuxin Qin; Gaofeng Tao; Hongxin Gui; Fang Li; Liang Ou (GLOBECOM, 2022)

Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. - Ruhan Liu; Liang Ou; Bin Sheng 001; Pei Hao; Ping Li 016; Xiaokang Yang 001; Guangtao Xue; Lei Zhu 003; Yuyang Luo; Ping Zhang 016; Po Yang 001; Huating Li; et al. (IEEE Trans. Biomed. Eng., 2022)

Improving CCA Algorithms on SSVEP Classification with Reinforcement Learning Based Temporal Filtering. - Liang Ou; Thomas Tien-Thong Do; Xuan-The Tran; Daniel Leong; Yu-Cheng Chang; Yu-Kai Wang; Chin-Teng Lin (AI (2), 2023)

Explain Reinforcement Learning Agents Through Fuzzy Rule Reconstruction. - Liang Ou; Yu-Cheng Chang; Yu-Kai Wang; Chin-Teng Lin (FUZZ, 2023)

Proliferation mechanism of collusive alienation in tendering for government investment projects. - Yun Chen; Chongsen Ma; Liang Ou (J. Intell. Fuzzy Syst., 2023)

A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy. - Xiaowei Jiang; Liang Ou; Yanan Chen; Na Ao; Yu-Cheng Chang; Thomas Do; Chin-Teng Lin (CoRR, 2024)

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System. - Xiaowei Jiang; Beining Cao; Liang Ou; Yu-Cheng Chang; Thomas Do; Chin-Teng Lin (CoRR, 2024)

Fuzzy Centered Explainable Network for Reinforcement Learning. - Liang Ou; Yu-Cheng Chang; Yu-Kai Wang; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2024)

Adaptive Trust Model for Multi-Agent Teaming Based on Reinforcement-Learning-Based Fusion. - Chin-Teng Lin; Haichao Zhang; Liang Ou; Yu-Cheng Chang; Yu-Kai Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Fuzzy Logic-Based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy. - Xiaowei Jiang; Liang Ou; Yanan Chen; Na Ao; Yu-Cheng Chang; Thomas Do; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2025)