Guiliang Liu - RankMe

57 papers A* 22A 3Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards. CoRR Ruixiang Wang, Qingming Liu, Yueci Deng, Guiliang Liu, Zhen Liu, Kui Jia
2026	J	`jnl`	Grounding Sim-to-Real Generalization in Dexterous Manipulation: An Empirical Study with Vision-Language-Action Models. CoRR Ruixing Jin, Zicheng Zhu, Ruixiang Ouyang, Sheng Xu, Bo Yue, Zhizheng Wu, Guiliang Liu
2026	J	`jnl`	Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare. IEEE Trans. Artif. Intell. Nan Fang, Guiliang Liu, Wei Gong
2026	J	`jnl`	PAct: Part-Decomposed Single-View Articulated Object Generation. CoRR Qingming Liu, Xinyue Yao, Shuyuan Zhang, Yueci Deng, Guiliang Liu, Zhen Liu, Kui Jia
2025	J	`jnl`	A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges. Trans. Mach. Learn. Res. Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart
2025	A*	`conf`	A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations. ICLR Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu
2025	J	`jnl`	CycleManip: Enabling Cyclic Task Manipulation via Effective Historical Perception and Understanding. CoRR Yi-Lin Wei, Haoran Liao, Yuhao Lin, Pengyue Wang, Zhizhao Liang, Guiliang Liu, Wei-Shi Zheng
2025	A*	`conf`	DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control. ICML Guiliang Liu, Yueci Deng, Runyi Zhao, Huayi Zhou, Jian Chen, Jietao Chen, Ruiyan Xu, Yunxin Tai, Kui Jia
2025	J	`jnl`	Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot. CoRR Guiliang Liu, Bo Yue, Yi Jin Kim, Kui Jia
2025	A	`conf`	GAT-Grasp: Gesture-Driven Affordance Transfer for Task-Aware Robotic Grasping. IROS Ruixiang Wang, Huayi Zhou, Xinyue Yao, Guiliang Liu, Kui Jia
2025	J	`jnl`	GAT-Grasp: Gesture-Driven Affordance Transfer for Task-Aware Robotic Grasping. CoRR Ruixiang Wang, Huayi Zhou, Xinyue Yao, Guiliang Liu, Kui Jia
2025	J	`jnl`	HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion. CoRR Sixu Lin, Guanren Qiao, Yunxin Tai, Ang Li, Kui Jia, Guiliang Liu
2025	A*	`conf`	Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions. CVPR Quanyuan Ruan, Jiabao Lei, Wenhao Yuan, Yanglin Zhang, Dekun Lu, Guiliang Liu, Kui Jia
2025	J	`jnl`	Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions. CoRR Quanyuan Ruan, Jiabao Lei, Wenhao Yuan, Yanglin Zhang, Dekun Lu, Guiliang Liu, Kui Jia
2025	A*	`conf`	Provably Efficient Exploration in Inverse Constrained Reinforcement Learning. ICML Bo Yue, Jian Li, Guiliang Liu
2025	J	`jnl`	Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition. CoRR Bo Yue, Shuqi Guo, Kaiyu Hu, Chujiao Wang, Benyou Wang, Kui Jia, Guiliang Liu
2025	J	`jnl`	SignBot: Learning Human-to-Humanoid Sign Language Interaction. CoRR Guanren Qiao, Sixu Lin, Ronglai Zuo, Zhizheng Wu, Kui Jia, Guiliang Liu
2025	A*	`conf`	Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers. ICLR Runyi Zhao, Sheng Xu, Bo Yue, Guiliang Liu
2025	J	`jnl`	Toward Humanoid Brain-Body Co-design: Joint Optimization of Control and Morphology for Fall Recovery. CoRR Bo Yue, Sheng Xu, Kui Jia, Guiliang Liu
2025	A*	`conf`	Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning. ICLR Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart, Guiliang Liu
2025	J	`jnl`	Unimodal Training-Multimodal Prediction: Cross-Modal Federated Learning With Hierarchical Aggregation. IEEE Trans. Mob. Comput. Rongyu Zhang, Xiaowei Chi, Wenyi Zhang, Guiliang Liu, Dan Wang, Fangxin Wang
2025	J	`jnl`	You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations. CoRR Huayi Zhou, Ruixiang Wang, Yunxin Tai, Yueci Deng, Guiliang Liu, Kui Jia
2024	J	`jnl`	A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges. CoRR Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart
2024	A*	`conf`	Confidence Aware Inverse Constrained Reinforcement Learning. ICML Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart
2024	J	`jnl`	Confidence Aware Inverse Constrained Reinforcement Learning. CoRR Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart
2024	A*	`conf`	Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation. ICML Guorui Quan, Zhiqiang Xu, Guiliang Liu
2024	—	`conf`	Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model. ECCV (35) Guanren Qiao, Guorui Quan, Rongxiao Qu, Guiliang Liu
2024	J	`jnl`	Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare. CoRR Nan Fang, Guiliang Liu, Wei Gong
2024	J	`jnl`	Provably Efficient Exploration in Inverse Constrained Reinforcement Learning. CoRR Bo Yue, Jian Li, Guiliang Liu
2024	A*	`conf`	Robust Inverse Constrained Reinforcement Learning under Model Misspecification. ICML Sheng Xu, Guiliang Liu
2024	J	`jnl`	TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles. CoRR Guanren Qiao, Guorui Quan, Jiawei Yu, Shujun Jia, Guiliang Liu
2024	A*	`conf`	Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning. ICLR Sheng Xu, Guiliang Liu
2023	A*	`conf`	An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient. NeurIPS Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
2023	J	`jnl`	An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient. CoRR Yudong Luo, Guiliang Liu, Pascal Poupart, Yangchen Pan
2023	A*	`conf`	Benchmarking Constraint Inference in Inverse Reinforcement Learning. ICLR Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart
2023	A*	`conf`	Learning Soft Constraints From Constrained Expert Demonstrations. ICLR Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart
2023	A*	`conf`	Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations. NeurIPS Guanren Qiao, Guiliang Liu, Pascal Poupart, Zhiqiang Xu
2023	A	`conf`	NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge. AISTATS Xiangyu Sun, Oliver Schulte, Guiliang Liu, Pascal Poupart
2023	J	`jnl`	Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation. CoRR Rongyu Zhang, Xiaowei Chi, Guiliang Liu, Wenyi Zhang, Yuan Du, Fangxin Wang
2022	J	`jnl`	Benchmarking Constraint Inference in Inverse Reinforcement Learning. CoRR Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart
2022	A*	`conf`	Distributional Reinforcement Learning with Monotonic Splines. ICLR Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart
2022	A*	`conf`	Learning Object-Oriented Dynamics for Planning from Text. ICLR Guiliang Liu, Ashutosh Adhikari, Amir-massoud Farahmand, Pascal Poupart
2022	J	`jnl`	Learning Soft Constraints From Constrained Expert Demonstrations. CoRR Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart
2022	A*	`conf`	Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game. NeurIPS Guiliang Liu, Yudong Luo, Oliver Schulte, Pascal Poupart
2021	A*	`conf`	Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning. NeurIPS Guiliang Liu, Xiangyu Sun, Oliver Schulte, Pascal Poupart
2021	J	`jnl`	NTS-NOTEARS: Learning Nonparametric Temporal DAGs With Time-Series Data and Prior Knowledge. CoRR Xiangyu Sun, Guiliang Liu, Pascal Poupart, Oliver Schulte
2020	A	`conf`	An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction. SDM Guiliang Liu, Xu Li, Mingming Sun, Ping Li
2020	A*	`conf`	Cracking the Black Box: Distilling Deep Sports Analytics. KDD Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu
2020	J	`jnl`	Cracking the Black Box: Distilling Deep Sports Analytics. CoRR Xiangyu Sun, Jack Davis, Oliver Schulte, Guiliang Liu
2020	J	`jnl`	Deep soccer analytics: learning an action-value function for evaluating soccer players. Data Min. Knowl. Discov. Guiliang Liu, Yudong Luo, Oliver Schulte, Tarak Kharrat
2020	A*	`conf`	Extracting Knowledge from Web Text with Monte Carlo Tree Search. WWW Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li
2020	A*	`conf`	Learning Agent Representations for Ice Hockey. NeurIPS Guiliang Liu, Oliver Schulte, Pascal Poupart, Mike Rudd, Mehrsan Javan
2018	A*	`conf`	Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. IJCAI Guiliang Liu, Oliver Schulte
2018	J	`jnl`	Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. CoRR Guiliang Liu, Oliver Schulte
2018	—	`conf`	Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL. MLSA@PKDD/ECML Guiliang Liu, Wang Zhu, Oliver Schulte
2018	—	`conf`	Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. ECML/PKDD (2) Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li
2018	J	`jnl`	Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees. CoRR Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li