A Hybrid Model Based on Neural Networks for Financial Time Series. - Dong Huang; Xiaolong Wang 001; Jia Fang; Shiwen Liu; Ronggang Dou (MICAI (Special Sessions), 2013)

N-gram distribution and unification gain problem and its optimal solution. - Dong Huang; Xiaolong Wang 001; Ronggang Dou; Shiwen Liu; Jia Fang (Int. J. Syst. Sci., 2015)

A Joint Allocation Scheme of Control Tasks and Communication Resources in Cyber-Physical Systems. - Shiwen Liu; Kan Zheng; Long Zhao 001 (GLOBECOM Workshops, 2018)

A Reinforcement Learning-Based Resource Allocation Scheme for Cloud Robotics. - Hang Liu; Shiwen Liu; Kan Zheng (IEEE Access, 2018)

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges. - Lei Lei 004; Yue Tan; Shiwen Liu; Kan Zheng; Xuemin Shen (CoRR, 2019)

A driving intention prediction method based on hidden Markov model for autonomous driving. - Shiwen Liu; Kan Zheng; Long Zhao 001; Pingzhi Fan (Comput. Commun., 2020)

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges. - Lei Lei 004; Yue Tan; Kan Zheng; Shiwen Liu; Kuan Zhang 001; Xuemin Shen (IEEE Commun. Surv. Tutorials, 2020)

MegBA: A High-Performance and Distributed Library for Large-Scale Bundle Adjustment. - Jie Ren; Wenteng Liang; Ran Yan 003; Luo Mai; Shiwen Liu; Xiao Liu (CoRR, 2021)

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment. - Jie Ren; Wenteng Liang; Ran Yan 003; Luo Mai; Shiwen Liu; Xiao Liu (ECCV (37), 2022)

A Behavior Decision Method Based on Reinforcement Learning for Autonomous Driving. - Kan Zheng; Haojun Yang; Shiwen Liu; Kuan Zhang 001; Lei Lei 004 (IEEE Internet Things J., 2022)

BERTector: Intrusion Detection Based on Joint-Dataset Learning. - Haoyang Hu; Xun Huang; Chenyu Wu; Shiwen Liu; Zhichao Lian; Shuangquan Zhang (CoRR, 2025)