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ORCIDChang Liu 0002
Person information
- affiliation: Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China
- affiliation: Nvidia
- affiliation (PhD): University of California at Berkeley, Department of Mechanical Engineering, Vehicle Dynamics and Control Laboratory, CA, USA
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001
![[0000-0002-3914-754X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3914-754X")
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more) - Chang Liu 0003 — La Trobe University, Melbourne, Australia (and 3 more)
- Chang Liu 0004 — Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
- Chang Liu 0005 — Chengdu University, College of Information Science and Technology, Chengdu, China
- Chang Liu 0006 — Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China (and 2 more)
- Chang Liu 0007 — Peking University, Department of Information Management, Beijing, China (and 1 more)
- Chang Liu 0008 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Chang Liu 0009 — Beihang University, School of Astronautics, Beijing, China
- Chang Liu 0010 — University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany
- Chang Liu 0011 — Harbin Institute of Technology, Department of Computer Science, China
- Chang Liu 0012 — Dongguan University of Technology, School of Electronic Engineering, China
- Chang Liu 0013 — Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
- Chang Liu 0014 — North China Electric Power University, Department of Electric Engineering, Baoding, China
- Chang Liu 0015 — University of Melbourne, Australia
- Chang Liu 0016 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Chang Liu 0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Chang Liu 0018 — Jianghan University, Department of Logistics and Information Management, China
- Chang Liu 0019 — National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
- Chang Liu 0020 — Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- Chang Liu 0021 — University of California, Berkeley, Department of EECS, CA, USA (and 2 more)
- Chang Liu 0022 — Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Chang Liu 0023 — Huazhong University of Science and Technology, Wuhan, China
- Chang Liu 0024 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Chang Liu 0025 — Beijing Institute of Spacecraft Environment Engineering, China
- Chang Liu 0026 — Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028 — Ohio University, Athens, OH, USA (and 1 more)
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0030 — Microsoft Research AI4Science, Beijing, China (and 2 more)
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033 — University of Massachusetts Lowell, MA, USA
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Chang Liu 0037 — Nanchang Hangkong University, School of Information Technology, Nanchang, China
- Chang Liu 0038 — Ben-Gurion University of the Negev, Beer Sheva, Israel
- Chang Liu 0039 — Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
- Chang Liu 0040 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Chang Liu 0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
- Chang Liu 0042 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0043 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Chang Liu 0044 — Tianjin University, School of Microelectronics, Tianjin, China
- Chang Liu 0045 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Chang Liu 0046 — Wuhan University, School of Computer Science, Wuhan, China
- Chang Liu 0047 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chang Liu 0050 — University of Southampton, Faculty of Engineering and the Environment, UK
- Chang Liu 0051 — East China Normal University, Software Engineering Institute, Shanghai, China
- Chang Liu 0052 — University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
- Chang Liu 0053 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Chang Liu 0054 — Taishan University, Taishan University, Taian, China
- Chang Liu 0055 — Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
- Chang Liu 0056 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
- Chang Liu 0057 — Guangdong Ocean University, Institute of Electronics and Information Engineering, China (and 1 more)
- Chang Liu 0058 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Chang Liu 0059 — University of Edinburgh, School of Engineering, UK (and 2 more)
- Chang Liu 0060 — South China University of Technology, School of Automation Science and Engineering, Guangdong, China
- Chang Liu 0061 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Chang Liu 0062 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chang Liu 0063 — Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
- Chang Liu 0064 — Jilin University, Software Institute, Changchun, China
- Chang Liu 0065 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Chang Liu 0066 — Shenyang University, Department of Applied Technology, China
- Chang Liu 0067 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chang Liu 0068 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070 — Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
- Chang Liu 0071 — NVIDIA, Beijing, China (and 2 more)
- Chang Liu 0072 — Nanyang Technological University (NTU), Singapore
- Chang Liu 0073 — University of Jena, Germany
- Chang Liu 0074 — Polytechnic University of Milan, Italy
- Chang Liu 0075 — University of California, Berkeley, USA
- Chang Liu 0076 — Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
- Chang Liu 0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
- Chang Liu 0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
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2020 – today
- 2024
[j7]Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li:
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. IEEE Trans. Intell. Transp. Syst. 25(5): 4335-4345 (2024)- [c18]Dongyoon Kim, Sen Yang, Wenjun Zou, Bin Shuai, Dezhao Zhang, Fang Zhang, Chang Liu, Shengbo Eben Li:
Control Safety Function for Explicit Safety-Critical Control of Autonomous Vehicles. IV 2024: 843-850 - [i15]Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu:
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. CoRR abs/2401.02695 (2024) - [i14]Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu:
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. CoRR abs/2402.19007 (2024) - [i13]Wenhan Cao, Shiqi Liu, Chang Liu, Zeyu He, Stephen S.-T. Yau, Shengbo Eben Li:
Convolutional Bayesian Filtering. CoRR abs/2404.00481 (2024) - [i12]Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li:
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers. CoRR abs/2406.01380 (2024) - [i11]Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu:
CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. CoRR abs/2407.00632 (2024) - 2023
- [c17]Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li:
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. ACC 2023: 1614-1621 - [c16]Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu:
Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. ITSC 2023: 3304-3310 - [c15]Yao Mu, Zhiqian Lan, Chen Chen, Chang Liu, Ping Luo, Shengbo Eben Li:
Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout. ITSC 2023: 5403-5409 - 2022
- [c14]Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang:
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. CDC 2022: 4104-4111 - [i10]Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang:
Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees. CoRR abs/2204.02857 (2022) - [i9]Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li:
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. CoRR abs/2210.02166 (2022) - 2021
- [j6]Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Control. Netw. Syst. 8(2): 678-689 (2021) - 2020
- [c13]Chang Liu, Zhihao Liao, Silvia Ferrari:
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. CDC 2020: 3066-3071 - [i8]Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng:
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR abs/2003.00848 (2020) - [i7]Pingping Zhu, Chang Liu, Silvia Ferrari:
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. CoRR abs/2003.01891 (2020) - [i6]Chang Liu, Zhihao Liao, Silvia Ferrari:
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets. CoRR abs/2009.06021 (2020)
2010 – 2019
- 2019
- [j5]Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng:
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 53-63 (2019) - [c12]Chang Liu, Yucheng Chen, Jake Gemerek, Hengye Yang, Silvia Ferrari:
Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors. ICRA 2019: 8034-8040 - 2018
- [i5]Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR abs/1802.01780 (2018) - [i4]Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. CoRR abs/1802.05250 (2018) - 2017
- [j4]Donghan Lee, Chang Liu, Yi-Wen Liao, J. Karl Hedrick:
Parallel Interacting Multiple Model-Based Human Motion Prediction for Motion Planning of Companion Robots. IEEE Trans Autom. Sci. Eng. 14(1): 52-61 (2017) - [j3]Chang Liu, Shengbo Eben Li, J. Karl Hedrick:
Measurement Dissemination-Based Distributed Bayesian Filter Using the Latest-In-and-Full-Out Exchange Protocol for Networked Unmanned Vehicles. IEEE Trans. Ind. Electron. 64(11): 8756-8766 (2017) - [j2]Wenshuo Wang, Junqiang Xi, Chang Liu, Xiaohan Li:
Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics. IEEE Trans. Intell. Transp. Syst. 18(6): 1440-1453 (2017) - [j1]Wenshuo Wang, Chang Liu, Ding Zhao:
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. IEEE Trans. Intell. Veh. 2(2): 85-98 (2017) - [c11]Chang Liu, J. Karl Hedrick:
Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain. ACC 2017: 2937-2942 - [c10]Chang Liu, Shengbo Eben Li, J. Karl Hedrick:
Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements. ACC 2017: 4908-4913 - [c9]Viktor Rausch, Andreas Hansen, Eugen Solowjow, Chang Liu, Edwin Kreuzer, J. Karl Hedrick:
Learning a deep neural net policy for end-to-end control of autonomous vehicles. ACC 2017: 4914-4919 - [c8]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:
Pragmatic-Pedagogic Value Alignment. ISRR 2017: 49-57 - [c7]Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng, J. Karl Hedrick:
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach. Intelligent Vehicles Symposium 2017: 1033-1038 - [i3]Shun Yang, Wenshuo Wang, Chang Liu, Kevin Deng, J. Karl Hedrick:
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach. CoRR abs/1703.09744 (2017) - [i2]Wenshuo Wang, Chang Liu, Ding Zhao:
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. CoRR abs/1706.07637 (2017) - [i1]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:
Pragmatic-Pedagogic Value Alignment. CoRR abs/1707.06354 (2017) - 2016
- [c6]Chang Liu, Shengbo Eben Li, J. Karl Hedrick:
Distributed target localization using a group of UGVs under dynamically changing interaction topologies. ACC 2016: 2585-2590 - [c5]Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths:
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS 2016: 940-948 - [c4]Jiaying Yu, Shengbo Eben Li, Chang Liu, Bo Cheng:
Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors. Intelligent Vehicles Symposium 2016: 72-77 - [c3]Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan:
Generating Plans that Predict Themselves. WAFR 2016: 144-159 - 2015
- [c2]Yuhui Hu, Chang Liu, Guangming Xiong, Junqiang Xi:
Optimization of gear shift schedule for electric buses equipped with 4-AMT using dynamic programming. Intelligent Vehicles Symposium 2015: 431-436 - [c1]Donghan Lee, Chang Liu, J. Karl Hedrick:
Interacting multiple model-based human motion prediction for motion planning of companion robots. SSRR 2015: 1-7
Coauthor Index
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