Daoming Lyu - RankMe

21 papers A* 4Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Big2Small: A Unifying Neural Network Framework for Model Compression. CoRR Jing-Xiao Liao, Haoran Wang, Tao Li, Daoming Lyu, Yi Zhang, Chengjun Cai, Feng-Lei Fan
2022	J	`jnl`	PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent CoRR Daoming Lyu, Bo Liu, Jianshu Chen
2022	J	`jnl`	TDM: Trustworthy Decision-Making Via Interpretability Enhancement. IEEE Trans. Emerg. Top. Comput. Intell. Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
2022	—	`conf`	TOPS: Transition-Based Volatility-Reduced Policy Search. AAMAS Workshops Liangliang Xu, Daoming Lyu, Yangchen Pan, Aiwen Jiang, Bo Liu
2022	J	`jnl`	TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence. CoRR Liangliang Xu, Aiwen Jiang, Daoming Lyu, Bo Liu
2021	—	`ch.`	Explainable Neuro-Symbolic Hierarchical Reinforcement Learning. Neuro-Symbolic Artificial Intelligence Daoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent Yilmaz
2021	J	`jnl`	TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
2020	J	`jnl`	Stable and Efficient Policy Evaluation. CoRR Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
2020	J	`jnl`	Variance-Reduced Off-Policy Memory-Efficient Policy Search. CoRR Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu
2019	—	`conf`	A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. ICLP Technical Communications Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
2019	J	`jnl`	Knowledge-Based Sequential Decision-Making Under Uncertainty. CoRR Daoming Lyu
2019	A*	`conf`	Logic-Based Sequential Decision-Making. AAAI Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
2019	A*	`conf`	SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. AAAI Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
2019	J	`jnl`	Stable and Efficient Policy Evaluation. IEEE Trans. Neural Networks Learn. Syst. Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
2018	A*	`conf`	A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. NeurIPS Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon
2018	J	`jnl`	A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. CoRR Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon
2018	A*	`conf`	PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. IJCAI Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
2018	J	`jnl`	PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. CoRR Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
2018	—	`conf`	Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. GPTP Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu
2018	J	`jnl`	SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
2017	J	`jnl`	O CoRR Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz