Chang Liu - RankMe

67 papers A* 3A 1B 3C 9Journal 44Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AINav: Large Language Model-Based Adaptive Interactive Navigation. IEEE Robotics Autom. Mag. Kangjie Zhou, Yao Mu, Haoyang Song, Yi Zeng, Pengying Wu, Han Gao, Chang Liu
2026	J	`jnl`	CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM. CoRR Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo, Zike Yan, Pengying Wu, Ieng Hou U, Shuaiyang Li, Han Gao, Kang Ding, Wenhan Cao, Wei Pan, Chang Liu
2026	J	`jnl`	ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments. IEEE Trans. Syst. Man Cybern. Syst. Kangjie Zhou, Zhaoyang Li, Han Gao, Yao Su, Hangxin Liu, Junzhi Yu, Chang Liu
2026	J	`jnl`	Risk-Aware and Scalable Hierarchical Motion Planning for Large-Scale Robotic Swarms via CVaR-Constrained MPC. IEEE Trans Autom. Sci. Eng. Xuru Yang, Yuqiao Zhao, Yunze Hu, Zongru Yang, Pingping Zhu, Ying Sun, Chang Liu
2026	J	`jnl`	VLingNav: Embodied Navigation with Adaptive Reasoning and Visual-Assisted Linguistic Memory. CoRR Shaoan Wang, Yuanfei Luo, Xingyu Chen, Aocheng Luo, Dongyue Li, Chang Liu, Sheng Chen, Yangang Zhang, Junzhi Yu
2025	J	`jnl`	Adaptive Interactive Navigation of Quadruped Robots using Large Language Models. CoRR Kangjie Zhou, Yao Mu, Haoyang Song, Yi Zeng, Pengying Wu, Han Gao, Chang Liu
2025	J	`jnl`	Convolutional Unscented Kalman Filter for Multi-Object Tracking With Outliers. IEEE Trans. Intell. Veh. Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
2025	J	`jnl`	Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems. CoRR Weixian He, Zeyu He, Wenhan Cao, Haoyu Gao, Tong Liu, Bin Shuai, Chang Liu, Shengbo Eben Li
2025	J	`jnl`	Distributional Soft Actor-Critic With Three Refinements. IEEE Trans. Pattern Anal. Mach. Intell. Jingliang Duan, Wenxuan Wang, Liming Xiao, Jiaxin Gao, Shengbo Eben Li, Chang Liu, Ya-Qin Zhang, Bo Cheng, Keqiang Li
2025	J	`jnl`	FAGR: Feature-Action Generative Replay for Robot Lifelong Imitation Learning. IEEE Robotics Autom. Lett. Yushi Yang, Xiangli Nie, Chang Liu
2025	J	`jnl`	NANO-SLAM : Natural Gradient Gaussian Approximation for Vehicle SLAM. CoRR Tianyi Zhang, Wenhan Cao, Chang Liu, Feihong Zhang, Wei Wu, Shengbo Eben Li
2025	—	`conf`	NANO-SLAM: Natural Gradient Gaussian Approximation for Vehicle SLAM. ITSC Tianyi Zhang, Wenhan Cao, Chang Liu, Feihong Zhang, Wei Wu, Shengbo Eben Li
2025	J	`jnl`	One Filters All: A Generalist Filter for State Estimation. CoRR Shiqi Liu, Wenhan Cao, Chang Liu, Zeyu He, Tianyi Zhang, Shengbo Eben Li
2025	J	`jnl`	ReSPIRe: Informative and Reusable Belief Tree Search for Robot Probabilistic Search and Tracking in Unknown Environments. CoRR Kangjie Zhou, Zhaoyang Li, Han Gao, Yao Su, Hangxin Liu, Junzhi Yu, Chang Liu
2025	J	`jnl`	Robust Bayesian inference for moving horizon estimation. Autom. Wenhan Cao, Chang Liu, Zhiqian Lan, Shengbo Eben Li, Wei Pan, Angelo Alessandri
2025	J	`jnl`	Robust State Estimation for Legged Robots With Dual Beta Kalman Filter. IEEE Robotics Autom. Lett. Tianyi Zhang, Wenhan Cao, Chang Liu, Tao Zhang, Jiangtao Li, Shengbo Eben Li
2025	—	`conf`	SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer. CVPR Workshops Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu
2025	J	`jnl`	SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer. CoRR Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu
2025	J	`jnl`	Understanding Connection Between PMP and HJB Equations from the Perspective of Hamilton Dynamics. IEEE Trans. Artif. Intell. Xiangteng Zhang, Yao Lyu, Shengbo Eben Li, Jingliang Duan, Guojian Zhan, Chang Liu, Bo Cheng, Keqiang Li
2024	J	`jnl`	A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. IEEE Trans. Intell. Transp. Syst. Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li
2024	A*	`conf`	ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. ICRA Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu
2024	J	`jnl`	ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. CoRR Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu
2024	J	`jnl`	CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. CoRR Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu
2024	C	`conf`	Control Safety Function for Explicit Safety-Critical Control of Autonomous Vehicles. IV Dongyoon Kim, Sen Yang, Wenjun Zou, Bin Shuai, Dezhao Zhang, Fang Zhang, Chang Liu, Shengbo Eben Li
2024	J	`jnl`	Convolutional Bayesian Filtering. CoRR Wenhan Cao, Shiqi Liu, Chang Liu, Zeyu He, Stephen S.-T. Yau, Shengbo Eben Li
2024	J	`jnl`	Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers. CoRR Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
2024	J	`jnl`	DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. CoRR Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu
2024	J	`jnl`	DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu
2024	J	`jnl`	Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation. CoRR Wenhan Cao, Tianyi Zhang, Zeju Sun, Chang Liu, Stephen S.-T. Yau, Shengbo Eben Li
2024	C	`conf`	Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. ACC Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu
2024	J	`jnl`	Robust State Estimation for Legged Robots with Dual Beta Kalman Filter. CoRR Tianyi Zhang, Wenhan Cao, Chang Liu, Tao Zhang, Jiangtao Li, Shengbo Eben Li
2024	A*	`conf`	VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. ICML Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu
2024	J	`jnl`	VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. CoRR Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu
2023	C	`conf`	Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. ACC Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
2023	—	`conf`	Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. ITSC Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu
2023	—	`conf`	Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout. ITSC Yao Mu, Zhiqian Lan, Chen Chen, Chang Liu, Ping Luo, Shengbo Eben Li
2023	J	`jnl`	Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. CoRR Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu
2022	J	`jnl`	Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. CoRR Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
2022	—	`conf`	Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. CDC Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
2022	J	`jnl`	Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees. CoRR Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
2021	J	`jnl`	Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Control. Netw. Syst. Pingping Zhu, Chang Liu, Silvia Ferrari
2020	J	`jnl`	Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. CoRR Pingping Zhu, Chang Liu, Silvia Ferrari
2020	J	`jnl`	Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng
2020	—	`conf`	Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. CDC Chang Liu, Zhihao Liao, Silvia Ferrari
2020	J	`jnl`	Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. CoRR Chang Liu, Zhihao Liao, Silvia Ferrari
2019	A*	`conf`	Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors. ICRA Chang Liu, Yucheng Chen, Jake Gemerek, Hengye Yang, Silvia Ferrari
2019	J	`jnl`	Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles. IEEE Trans. Syst. Man Cybern. Syst. Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng
2018	J	`jnl`	Generating Plans that Predict Themselves. CoRR Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
2018	J	`jnl`	Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
2017	C	`conf`	Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements. ACC Chang Liu, Shengbo Eben Li, J. Karl Hedrick
2017	J	`jnl`	Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach. CoRR Shun Yang, Wenshuo Wang, Chang Liu, Kevin Deng, J. Karl Hedrick
2017	B	`conf`	Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach. Intelligent Vehicles Symposium Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng, J. Karl Hedrick
2017	J	`jnl`	How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. IEEE Trans. Intell. Veh. Wenshuo Wang, Chang Liu, Ding Zhao
2017	J	`jnl`	How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. CoRR Wenshuo Wang, Chang Liu, Ding Zhao
2017	J	`jnl`	Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics. IEEE Trans. Intell. Transp. Syst. Wenshuo Wang, Junqiang Xi, Chang Liu, Xiaohan Li
2017	C	`conf`	Learning a deep neural net policy for end-to-end control of autonomous vehicles. ACC Viktor Rausch, Andreas Hansen, Eugen Solowjow, Chang Liu, Edwin Kreuzer, J. Karl Hedrick
2017	J	`jnl`	Measurement Dissemination-Based Distributed Bayesian Filter Using the Latest-In-and-Full-Out Exchange Protocol for Networked Unmanned Vehicles. IEEE Trans. Ind. Electron. Chang Liu, Shengbo Eben Li, J. Karl Hedrick
2017	C	`conf`	Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain. ACC Chang Liu, J. Karl Hedrick
2017	J	`jnl`	Parallel Interacting Multiple Model-Based Human Motion Prediction for Motion Planning of Companion Robots. IEEE Trans Autom. Sci. Eng. Donghan Lee, Chang Liu, Yi-Wen Liao, J. Karl Hedrick
2017	C	`conf`	Pragmatic-Pedagogic Value Alignment. ISRR Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan
2017	J	`jnl`	Pragmatic-Pedagogic Value Alignment. CoRR Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan
2016	C	`conf`	Distributed target localization using a group of UGVs under dynamically changing interaction topologies. ACC Chang Liu, Shengbo Eben Li, J. Karl Hedrick
2016	B	`conf`	Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors. Intelligent Vehicles Symposium Jiaying Yu, Shengbo Eben Li, Chang Liu, Bo Cheng
2016	C	`conf`	Generating Plans that Predict Themselves. WAFR Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
2016	A	`conf`	Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
2015	—	`conf`	Interacting multiple model-based human motion prediction for motion planning of companion robots. SSRR Donghan Lee, Chang Liu, J. Karl Hedrick
2015	B	`conf`	Optimization of gear shift schedule for electric buses equipped with 4-AMT using dynamic programming. Intelligent Vehicles Symposium Yuhui Hu, Chang Liu, Guangming Xiong, Junqiang Xi