Bo Liu - RankMe

85 papers A* 22A 7C 1Journal 49Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gumbel Distillation for Parallel Text Generation. CoRR Chi Zhang, Xixi Hu, Bo Liu, Qiang Liu
2026	J	`jnl`	Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning. CoRR Jiaheng Hu, Jay Shim, Chen Tang, Yoonchang Sung, Bo Liu, Peter Stone, Roberto Martin Martin
2025	A*	`conf`	AMO Sampler: Enhancing Text Rendering with Overshooting. CVPR Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei
2025	J	`jnl`	Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks. CoRR Viraj Joshi, Zifan Xu, Bo Liu, Peter Stone, Amy Zhang
2025	J	`jnl`	Improving Adaptive Moment Optimization via Preconditioner Diagonalization. CoRR Son Nguyen, Bo Liu, Lizhang Chen, Qiang Liu
2025	J	`jnl`	Improving Rectified Flow with Boundary Conditions. CoRR Xixi Hu, Runlong Liao, Keyang Xu, Bo Liu, Yeqing Li, Eugene Ie, Hongliang Fei, Qiang Liu
2025	A	`conf`	L3M+P: Lifelong Planning with Large Language Models. IROS Krish Agarwal, Yuqian Jiang, Jiaheng Hu, Bo Liu, Peter Stone
2025	J	`jnl`	L3M+P: Lifelong Planning with Large Language Models. CoRR Krish Agarwal, Yuqian Jiang, Jiaheng Hu, Bo Liu, Peter Stone
2025	A*	`conf`	Longhorn: State Space Models are Amortized Online Learners. ICLR Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
2025	A	`conf`	Memory-Efficient Optimization with Factorized Hamiltonian Descent. AISTATS Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu
2025	J	`jnl`	RoboSSM: Scalable In-context Imitation Learning via State-Space Models. CoRR Youngju Yoo, Jiaheng Hu, Yifeng Zhu, Bo Liu, Qiang Liu, Roberto Martín-Martín, Peter Stone
2025	A*	`conf`	SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization. ICML Runsheng Bai, Bo Liu, Qiang Liu
2024	J	`jnl`	AMO Sampler: Enhancing Text Rendering with Overshooting. CoRR Xixi Hu, Keyang Xu, Bo Liu, Qiang Liu, Hongliang Fei
2024	A*	`conf`	AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies. NeurIPS Xixi Hu, Qiang Liu, Xingchao Liu, Bo Liu
2024	J	`jnl`	AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies. CoRR Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu
2024	J	`jnl`	Cautious Optimizers: Improving Training with One Line of Code. CoRR Kaizhao Liang, Lizhang Chen, Bo Liu, Qiang Liu
2024	A*	`conf`	Communication Efficient Distributed Training with Distributed Lion. NeurIPS Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu
2024	J	`jnl`	Communication Efficient Distributed Training with Distributed Lion. CoRR Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu
2024	J	`jnl`	Fine-Grained Gradient Restriction: A Simple Approach for Mitigating Catastrophic Forgetting. CoRR Bo Liu, Mao Ye, Peter Stone, Qiang Liu
2024	J	`jnl`	H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent. CoRR Son Nguyen, Lizhang Chen, Bo Liu, Qiang Liu
2024	J	`jnl`	Learning Memory Mechanisms for Decision Making through Demonstrations. CoRR William Yue, Bo Liu, Peter Stone
2024	A*	`conf`	Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts. ICLR Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu
2024	J	`jnl`	Longhorn: State Space Models are Amortized Online Learners. CoRR Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
2024	A*	`conf`	Memory-Efficient LLM Training with Online Subspace Descent. NeurIPS Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu
2024	J	`jnl`	Memory-Efficient LLM Training with Online Subspace Descent. CoRR Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu
2024	A	`conf`	Overview of t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. AAMAS William Yue, Bo Liu, Peter Stone
2024	A	`conf`	Relaxed Exploration Constrained Reinforcement Learning. AAMAS Shahaf S. Shperberg, Bo Liu, Peter Stone
2024	J	`jnl`	SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization. CoRR Runsheng Bai, Bo Liu, Qiang Liu
2024	—	`conf`	t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. CoLLAs William Yue, Bo Liu, Peter Stone
2024	J	`jnl`	t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making. CoRR William Yue, Bo Liu, Peter Stone
2023	A*	`conf`	Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. ICRA Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
2023	A*	`conf`	FAMO: Fast Adaptive Multitask Optimization. NeurIPS Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
2023	J	`jnl`	FAMO: Fast Adaptive Multitask Optimization. CoRR Bo Liu, Yihao Feng, Peter Stone, Qiang Liu
2023	A*	`conf`	LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. NeurIPS Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
2023	J	`jnl`	LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. CoRR Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone
2023	J	`jnl`	LLM+P: Empowering Large Language Models with Optimal Planning Proficiency. CoRR Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone
2023	J	`jnl`	Lion Secretly Solves Constrained Optimization: As Lyapunov Predicts. CoRR Lizhang Chen, Bo Liu, Kaizhao Liang, Qiang Liu
2023	A*	`conf`	Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning. AAAI Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
2023	—	`conf`	Model-Based Meta Automatic Curriculum Learning. CoLLAs Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone
2023	A	`conf`	Relaxed Exploration Constrained Reinforcement Learning. AAMAS Shahaf S. Shperberg, Bo Liu, Peter Stone
2022	—	`conf`	A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects. CoLLAs Shahaf S. Shperberg, Bo Liu, Alessandro Allievi, Peter Stone
2022	J	`jnl`	APPL: Adaptive Planner Parameter Learning. Robotics Auton. Syst. Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2022	A*	`conf`	BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach. NeurIPS Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu
2022	J	`jnl`	BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach. CoRR Mao Ye, Bo Liu, Stephen Wright, Peter Stone, Qiang Liu
2022	J	`jnl`	Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. CoRR Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
2022	—	`conf`	Continual Learning and Private Unlearning. CoLLAs Bo Liu, Qiang Liu, Peter Stone
2022	J	`jnl`	Continual Learning and Private Unlearning. CoRR Bo Liu, Qiang Liu, Peter Stone
2022	J	`jnl`	Effective Mutation Rate Adaptation through Group Elite Selection. CoRR Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
2022	A	`conf`	Effective mutation rate adaptation through group elite selection. GECCO Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
2022	J	`jnl`	Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake. CoRR Shahaf S. Shperberg, Bo Liu, Peter Stone
2022	J	`jnl`	Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. CoRR Bo Liu, Yihao Feng, Qiang Liu, Peter Stone
2022	J	`jnl`	Motion planning and control for mobile robot navigation using machine learning: a survey. Auton. Robots Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2022	—	`conf`	Offline training of multi-agent reinforcement agents for grid-interactive buildings control. e-Energy Kingsley Nweye, Zoltán Nagy, Bo Liu, Peter Stone
2021	J	`jnl`	A Lifelong Learning Approach to Mobile Robot Navigation. IEEE Robotics Autom. Lett. Bo Liu, Xuesu Xiao, Peter Stone
2021	J	`jnl`	APPL: Adaptive Planner Parameter Learning. CoRR Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
2021	A*	`conf`	APPLI: Adaptive Planner Parameter Learning From Interventions. ICRA Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021	A*	`conf`	APPLR: Adaptive Planner Parameter Learning from Reinforcement. ICRA Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2021	A*	`conf`	Agile Robot Navigation through Hallucinated Learning and Sober Deployment. ICRA Xuesu Xiao, Bo Liu, Peter Stone
2021	J	`jnl`	Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition. CoRR Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Animashree Anandkumar
2021	A*	`conf`	Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. ICML Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, Anima Anandkumar
2021	J	`jnl`	Conflict-Averse Gradient Descent for Multi-task Learning. CoRR Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
2021	A*	`conf`	Conflict-Averse Gradient Descent for Multi-task learning. NeurIPS Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu
2021	J	`jnl`	Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. CoRR Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
2021	A*	`conf`	Machine versus Human Attention in Deep Reinforcement Learning Tasks. NeurIPS Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Dana H. Ballard, Mary M. Hayhoe, Peter Stone
2021	A	`conf`	Team Orienteering Coverage Planning with Uncertain Reward. IROS Bo Liu, Xuesu Xiao, Peter Stone
2021	J	`jnl`	Team Orienteering Coverage Planning with Uncertain Reward. CoRR Bo Liu, Xuesu Xiao, Peter Stone
2021	J	`jnl`	Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. IEEE Robotics Autom. Lett. Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2021	C	`conf`	UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions. RoboCup Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, Peter Stone
2020	J	`jnl`	APPLD: Adaptive Planner Parameter Learning From Demonstration. IEEE Robotics Autom. Lett. Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
2020	J	`jnl`	APPLD: Adaptive Planner Parameter Learning from Demonstration. CoRR Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
2020	J	`jnl`	APPLI: Adaptive Planner Parameter Learning From Interventions. CoRR Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020	J	`jnl`	APPLR: Adaptive Planner Parameter Learning from Reinforcement. CoRR Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
2020	J	`jnl`	Agile Robot Navigation through Hallucinated Learning and Sober Deployment. CoRR Xuesu Xiao, Bo Liu, Peter Stone
2020	A*	`conf`	DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. IJCAI Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum
2020	J	`jnl`	Extended Abstract: Motion Planners Learned from Geometric Hallucination. CoRR Xuesu Xiao, Bo Liu, Peter Stone
2020	A*	`conf`	Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. NeurIPS Lemeng Wu, Bo Liu, Peter Stone, Qiang Liu
2020	A*	`conf`	Human Gaze Assisted Artificial Intelligence: A Review. IJCAI Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana H. Ballard, Mary M. Hayhoe
2020	J	`jnl`	Human versus Machine Attention in Deep Reinforcement Learning Tasks. CoRR Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary M. Hayhoe, Dana H. Ballard, Peter Stone
2020	J	`jnl`	Lifelong Navigation. CoRR Bo Liu, Xuesu Xiao, Peter Stone
2020	J	`jnl`	Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. CoRR Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2020	J	`jnl`	Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination. CoRR Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
2019	J	`jnl`	Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. CoRR Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum
2019	A*	`conf`	Predicting pregnancy using large-scale datafrom a women's health tracking mobile application. WWW Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec
2018	J	`jnl`	Predicting pregnancy using large-scale data from a women's health tracking mobile application. CoRR Bo Liu, Shuyang Shi, Yongshang Wu, Daniel Thomas, Laura Symul, Emma Pierson, Jure Leskovec
2009	—	`conf`	Improvement of Au cantilever fabrication process with Cu as a sacrificial layer. NEMS Qiang Liu, Bo Liu, Zhihong Li