A Linear Online Guided Policy Search Algorithm. - Biao Sun; Fangzhou Xiong; Zhiyong Liu 001; Xu Yang 004; Hong Qiao (ICONIP (5), 2017)

A Bayesian Posterior Updating Algorithm in Reinforcement Learning. - Fangzhou Xiong; Zhiyong Liu 001; Xu Yang 004; Biao Sun; Charles Chiu; Hong Qiao (ICONIP (5), 2017)

Overcoming Catastrophic Forgetting with Self-adaptive Identifiers. - Fangzhou Xiong; Zhiyong Liu 001; Xu Yang 004 (ICONIP (3), 2018)

Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. - Fangzhou Xiong; Zhiyong Liu 001; Kaizhu Huang; Xu Yang 004; Amir Hussain 001 (ICDM Workshops, 2019)

Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure. - Fengyi Zhang; Fangzhou Xiong; Xu Yang 004; Zhiyong Liu 001 (ICONIP (3), 2019)

Guided Policy Search for Sequential Multitask Learning. - Fangzhou Xiong; Biao Sun; Xu Yang 004; Hong Qiao; Kaizhu Huang; Amir Hussain 001; Zhi-Yong Liu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning. - Yiming Qian; Fangzhou Xiong; Zhiyong Liu 001 (ICONIP (5), 2020)

ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. - Xing Lan; Qinghao Hu 001; Fangzhou Xiong; Cong Leng; Jian Cheng 001 (ACM Multimedia, 2020)

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. - Fangzhou Xiong; Zhiyong Liu 001; Kaizhu Huang; Xu Yang 004; Hong Qiao; Amir Hussain 001 (Neural Networks, 2020)

WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning. - Fengyi Zhang; Zhiyong Liu 001; Fangzhou Xiong; Jianhua Su; Hong Qiao (Robotics Auton. Syst., 2020)

State Primitive Learning to Overcome Catastrophic Forgetting in Robotics. - Fangzhou Xiong; Zhi-Yong Liu 001; Kaizhu Huang; Xu Yang 004; Hong Qiao (Cogn. Comput., 2021)

Zero-shot policy generation in lifelong reinforcement learning. - Yiming Qian; Fangzhou Xiong; Zhi-Yong Liu 001 (Neurocomputing, 2021)

Two-Policy Cooperative Transfer for Alleviation of Sim-to-Real Gap. - Liangdong Wu; Fangzhou Xiong; Zhiyong Liu 001 (ICAIIC, 2022)

Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios. - Fangzhou Xiong; Dongchun Ren; Mingyu Fan; Shuguang Ding; Zhiyong Liu 001 (IJCNN, 2022)

Position: Towards Unified Alignment Between Agents, Humans, and Environment. - Zonghan Yang; An Liu; Zijun Liu; Kaiming Liu; Fangzhou Xiong; Yile Wang 001; Zeyuan Yang 002; Qingyuan Hu; Xinrui Chen; Zhenhe Zhang; Fuwen Luo; Zhicheng Guo; et al. (ICML, 2024)

CurBench: Curriculum Learning Benchmark. - Yuwei Zhou; Zirui Pan; Xin Wang 019; Hong Chen 011; Haoyang Li 001; Yanwen Huang; Zhixiao Xiong; Fangzhou Xiong; Peiyang Xu; Shengnan Liu; Wenwu Zhu 001 (ICML, 2024)

Towards Unified Alignment Between Agents, Humans, and Environment. - Zonghan Yang; An Liu; Zijun Liu; Kaiming Liu; Fangzhou Xiong; Yile Wang 001; Zeyuan Yang 002; Qingyuan Hu; Xinrui Chen; Zhenhe Zhang; Fuwen Luo; Zhicheng Guo; et al. (CoRR, 2024)

Rethinking Long Context Generation from the Continual Learning Perspective. - Zeyuan Yang; Fangzhou Xiong; Peng Li; Yang Liu (COLING, 2025)