Fangzhou Xiong

20 papers A* 3B 2Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization. CoRR Yuanchen Wu, Saurabh Verma, Justin Lee, Fangzhou Xiong, Poppy Zhang, Amel Awadelkarim, Xu Chen, Yubai Yuan, Shawndra Hill
2025	B	`conf`	Rethinking Long Context Generation from the Continual Learning Perspective. COLING Zeyuan Yang, Fangzhou Xiong, Peng Li, Yang Liu
2025	J	`jnl`	Scaling Reinforcement Learning for Content Moderation with Large Language Models. CoRR Hamed Firooz, Rui Liu, Yuchen Lu, Zhenyu Hou, Fangzhou Xiong, Xiaoyang Zhang, Changshu Jian, Zhicheng Zhu, Jiayuan Ma, Jacob Tao, Chaitali Gupta, Xiaochang Peng, Shike Mei, Hang Cui, Yang Qin, Shuo Tang, Jason Gaedtke, Arpit Mittal
2024	A*	`conf`	CurBench: Curriculum Learning Benchmark. ICML Yuwei Zhou, Zirui Pan, Xin Wang, Hong Chen, Haoyang Li, Yanwen Huang, Zhixiao Xiong, Fangzhou Xiong, Peiyang Xu, Shengnan Liu, Wenwu Zhu
2024	A*	`conf`	Position: Towards Unified Alignment Between Agents, Humans, and Environment. ICML Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu
2024	J	`jnl`	Towards Unified Alignment Between Agents, Humans, and Environment. CoRR Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu
2022	B	`conf`	Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios. IJCNN Fangzhou Xiong, Dongchun Ren, Mingyu Fan, Shuguang Ding, Zhiyong Liu
2022	—	`conf`	Two-Policy Cooperative Transfer for Alleviation of Sim-to-Real Gap. ICAIIC Liangdong Wu, Fangzhou Xiong, Zhiyong Liu
2021	J	`jnl`	State Primitive Learning to Overcome Catastrophic Forgetting in Robotics. Cogn. Comput. Fangzhou Xiong, Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Hong Qiao
2021	J	`jnl`	Zero-shot policy generation in lifelong reinforcement learning. Neurocomputing Yiming Qian, Fangzhou Xiong, Zhi-Yong Liu
2020	A*	`conf`	ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. ACM Multimedia Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng
2020	J	`jnl`	Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. Neural Networks Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Hong Qiao, Amir Hussain
2020	—	`conf`	Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning. ICONIP (5) Yiming Qian, Fangzhou Xiong, Zhiyong Liu
2020	J	`jnl`	WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning. Robotics Auton. Syst. Fengyi Zhang, Zhiyong Liu, Fangzhou Xiong, Jianhua Su, Hong Qiao
2019	J	`jnl`	Guided Policy Search for Sequential Multitask Learning. IEEE Trans. Syst. Man Cybern. Syst. Fangzhou Xiong, Biao Sun, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain, Zhi-Yong Liu
2019	—	`conf`	Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure. ICONIP (3) Fengyi Zhang, Fangzhou Xiong, Xu Yang, Zhiyong Liu
2019	—	`conf`	Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation. ICDM Workshops Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain
2018	—	`conf`	Overcoming Catastrophic Forgetting with Self-adaptive Identifiers. ICONIP (3) Fangzhou Xiong, Zhiyong Liu, Xu Yang
2017	—	`conf`	A Bayesian Posterior Updating Algorithm in Reinforcement Learning. ICONIP (5) Fangzhou Xiong, Zhiyong Liu, Xu Yang, Biao Sun, Charles Chiu, Hong Qiao
2017	—	`conf`	A Linear Online Guided Policy Search Algorithm. ICONIP (5) Biao Sun, Fangzhou Xiong, Zhiyong Liu, Xu Yang, Hong Qiao