Bo Liu - RankMe

73 papers A* 10A 4Journal 46Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OpenCDA-MARL: A Unified Benchmarking Framework for Cooperative Autonomous Intersection Management With Multi-Agent Reinforcement Learning. IEEE Robotics Autom. Lett. Lihao Guo, Louis Liu, Jiahao Tang, Bo Liu, Siyang Cao
2025	J	`jnl`	ArmSpy++: Enhanced PIN Inference through Video-based Fine-grained Arm Posture Analysis. ACM Trans. Priv. Secur. Huan Dai, Yuefeng Chen, Yicong Du, Luping Wang, Ziyu Shao, Hongbo Liu, Yanzhi Ren, Jiadi Yu, Bo Liu
2024	J	`jnl`	A Critical Review of Inductive Logic Programming Techniques for Explainable AI. IEEE Trans. Neural Networks Learn. Syst. Zheng Zhang, Levent Onder Yilmaz, Bo Liu
2024	A*	`conf`	From Past to Future: Rethinking Eligibility Traces. AAAI Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
2024	J	`jnl`	Robust Mobile Two-Factor Authentication Leveraging Acoustic Fingerprinting. IEEE Trans. Mob. Comput. Yanzhi Ren, Tingyuan Yang, Zhiliang Xia, Hongbo Liu, Jiadi Yu, Bo Liu, Hongwei Li
2023	—	`conf`	Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023	J	`jnl`	Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023	—	`conf`	EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2023	J	`jnl`	From Past to Future: Rethinking Eligibility Traces. CoRR Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva
2022	J	`jnl`	Model credibility revisited: Concepts and considerations for appropriate trust. J. Simulation Levent Yilmaz, Bo Liu
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	J	`jnl`	A Critical Review of Inductive Logic Programming Techniques for Explainable AI. CoRR Zheng Zhang, Levent Yilmaz, Bo Liu
2021	J	`jnl`	Crowd understanding and analysis. IET Image Process. Qi Wang, Bo Liu, Jianzhe Lin
2021	J	`jnl`	Ensemble single image deraining network via progressive structural boosting constraints. Signal Process. Image Commun. Long Peng, Aiwen Jiang, Haoran Wei, Bo Liu, Mingwen Wang
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	A*	`conf`	Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. AAAI Shangtong Zhang, Bo Liu, Shimon Whiteson
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`	Finite-Sample Analysis of GTD Algorithms. CoRR Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2020	A*	`conf`	GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. ICML Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	J	`jnl`	GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. CoRR Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	J	`jnl`	Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. CoRR Shangtong Zhang, Bo Liu, Shimon Whiteson
2020	A*	`conf`	Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation. ICML Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2020	J	`jnl`	Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. CoRR Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2020	J	`jnl`	Regularized Off-Policy TD-Learning. CoRR Bo Liu, Sridhar Mahadevan, Ji 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`	Deep residual refining based pseudo-multi-frame network for effective single image super-resolution. IET Image Process. Kangfu Mei, Aiwen Jiang, Juncheng Li, Bo Liu, Jihua Ye, Mingwen Wang
2019	J	`jnl`	Hierarchical Feature Selection for Random Projection. IEEE Trans. Neural Networks Learn. Syst. Qi Wang, Jia Wan, Feiping Nie, Bo Liu, Chenggang Yan, Xuelong Li
2019	A*	`conf`	Logic-Based Sequential Decision-Making. AAAI Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
2019	A	`conf`	Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. AAMAS Fan Yang, Bo Liu, Wen Dong
2019	J	`jnl`	Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. CoRR Wen Dong, Bo Liu, Fan Yang
2019	J	`jnl`	Provably Convergent Off-Policy Actor-Critic with Function Approximation. CoRR Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
2019	J	`jnl`	Restoration algorithm for noisy complex illumination. IET Comput. Vis. Zhanwen Liu, Tao Gao, Fanjie Kong, Ziheng Jiao, Aodong Yang, Shuying Li, Bo Liu
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	J	`jnl`	Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. CoRR Bo Liu, Luwan Zhang, Ji Liu
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`	Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. J. Artif. Intell. Res. Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2018	J	`jnl`	QUOTA: The Quantile Option Architecture for Reinforcement Learning. CoRR Shangtong Zhang, Borislav Mavrin, Linglong Kong, Bo Liu, Hengshuai Yao
2018	—	`conf`	R2PG: Risk-Sensitive and Reliable Policy Gradient. AAAI Workshops Bo Liu, Ji Liu, Kenan Xiao
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`	Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering. J. Comput. Sci. Technol. Aiwen Jiang, Bo Liu, Ming-Wen Wang
2017	J	`jnl`	O CoRR Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz
2016	A	`conf`	Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning. UAI Bo Liu, Luwan Zhang, Ji Liu
2016	—	`conf`	Neural Clinical Paraphrase Generation with Attention. ClinicalNLP@COLING 2016 Sadid A. Hasan, Bo Liu, Joey Liu, Ashequl Qadir, Kathy Lee, Vivek V. Datla, Aaditya Prakash, Oladimeji Farri
2016	A*	`conf`	Proximal Gradient Temporal Difference Learning Algorithms. IJCAI Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2016	A*	`conf`	Uncorrelated Group LASSO. AAAI Deguang Kong, Ji Liu, Bo Liu, Xuan Bao
2015	A	`conf`	Finite-Sample Analysis of Proximal Gradient TD Algorithms. UAI Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2015	—	`conf`	Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. AAAI Workshop: Computational Sustainability Ian Gemp, Sridhar Mahadevan, Bo Liu
2014	J	`jnl`	Bluetooth aided mobile phone localization: A nonlinear neural circuit approach. ACM Trans. Embed. Comput. Syst. Shuai Li, Yuesheng Lou, Bo Liu
2014	J	`jnl`	Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. CoRR Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu
2013	J	`jnl`	A nonlinear model to generate the winner-take-all competition. Commun. Nonlinear Sci. Numer. Simul. Shuai Li, Yunpeng Wang, Jiguo Yu, Bo Liu
2013	J	`jnl`	Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function. Neural Process. Lett. Shuai Li, Sanfeng Chen, Bo Liu
2013	J	`jnl`	Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks. Neural Comput. Appl. Shuai Li, Hongzhu Cui, Yangming Li, Bo Liu, Yuesheng Lou
2013	J	`jnl`	Neural network based mobile phone localization using Bluetooth connectivity. Neural Comput. Appl. Shuai Li, Bo Liu, Baogang Chen, Yuesheng Lou
2013	J	`jnl`	Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Shuai Li, Bo Liu, Yangming Li
2012	J	`jnl`	Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks. Neurocomputing Shuai Li, Sanfeng Chen, Bo Liu, Yangming Li, Yongsheng Liang
2012	J	`jnl`	Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration. Sensors Bo Liu, Sanfeng Chen, Shuai Li, Yongsheng Liang
2012	—	`conf`	Regularized Off-Policy TD-Learning. NIPS Bo Liu, Sridhar Mahadevan, Ji Liu
2012	J	`jnl`	Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems. Sensors Sanfeng Chen, Shuai Li, Bo Liu, Yuesheng Lou, Yongsheng Liang
2012	J	`jnl`	Sparse Q-learning with Mirror Descent CoRR Sridhar Mahadevan, Bo Liu
2012	A	`conf`	Sparse Q-learning with Mirror Descent. UAI Sridhar Mahadevan, Bo Liu
2010	—	`conf`	A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming. ICNSC Haibo He, Bo Liu
2010	—	`conf`	Basis Construction from Power Series Expansions of Value Functions. NIPS Sridhar Mahadevan, Bo Liu
2010	—	`conf`	Two-time-scale online actor-critic paradigm driven by POMDP. ICNSC Bo Liu, Haibo He, Daniel W. Repperger