Zhihan Liu

According to our database, Zhihan Liu authored at least 56 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Novel Calibration Method for the Refractive Parameters of Transparent Screens.

Yanjun Fu, Wenqiang Yang, Fuqing Ma, Guangyu Jiang, Zhihan Liu

IEEE Trans. Instrum. Meas., 2024

Can Large Language Models Play Games? A Case Study of A Self-Play Approach.

Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang

CoRR, 2024

How Can LLM Guide RL? A Value-Based Approach.

Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang

CoRR, 2024

2023

A Novel Phase Measuring Deflectometry Method Using a Curved Screen.

Yanjun Fu, Fuqing Ma, Guangyu Jiang, Yuhui Peng, Hewu Li, Zhihan Liu, Wenqiang Yang

IEEE Trans. Instrum. Meas., 2023

A Real-Time Pedestrian Social Distancing Risk Alert System for COVID-19.

Zhihan Liu, Xiang Li, Siqi Liu, Wei Li, Xiangxu Meng, Jing Jia

Comput. Syst. Sci. Eng., 2023

A Principled Framework for Knowledge-enhanced Large Language Model.

Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo

CoRR, 2023

Sample-Efficient Multi-Agent RL: An Optimization Perspective.

Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang

CoRR, 2023

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang

CoRR, 2023

One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

CoRR, 2023

Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration.

Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An improved under-sampling algorithm based on density Peak clustering.

Zhihan Liu, Zhonglin Zhang

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

Guarded Policy Optimization with Imperfect Online Demonstrations.

Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Detformer: Detect the Reliable Attention Index for Ultra-long Time Series Forecasting.

Xiangxu Meng, Wei Li, Zheng Zhao, Zhihan Liu, Guangsheng Feng, Huiqiang Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Hierarchical Contrastive Learning for CSI-Based Fingerprint Localization.

Xiangxu Meng, Wei Li, Zheng Zhao, Zhihan Liu, Huiqiang Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

X-ray Prohibited Items Recognition Based on Improved YOLOv5.

Wei Li, Xiang Li, Wanxin Liu, Zhihan Liu, Jing Jia, Jiayi Li

Proceedings of the Web Information Systems and Applications, 2023

Vulnerability Detection Based on Unified Code Property Graph.

Wei Li, Xiang Li, Wanzheng Feng, Guanglu Jin, Zhihan Liu, Jing Jia

Proceedings of the Web Information Systems and Applications, 2023

2022

The research on propagation modeling and governance strategies of online rumors based on behavior-attitude.

Hailiang Chen, Chuan Ai, Bin Chen, Yong Zhao, Kaisheng Lai, Lingnan He, Zhihan Liu

Internet Res., 2022

Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation.

Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

Proceedings of the International Conference on Machine Learning, 2022

Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy.

Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang

Proceedings of the International Conference on Machine Learning, 2022

2021

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation.

Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang

CoRR, 2021

2020

Understanding Cooperative Data Exchange Problem in Multi-Hop Wireless Network.

Guiyang Luo, Zhihan Liu, Jinglin Li, Fangchun Yang

IEEE Wirel. Commun. Lett., 2020

2019

CESense: Cost-Effective Urban Environment Sensing in Vehicular Sensor Networks.

Quan Yuan, Haibo Zhou, Zhihan Liu, Jinglin Li, Fangchun Yang, Xuemin Shen

IEEE Trans. Intell. Transp. Syst., 2019

An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control.

Jinglin Li, Guiyang Luo, Nan Cheng, Quan Yuan, Zhiheng Wu, Shang Gao, Zhihan Liu

IEEE Internet Things J., 2019

Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network.

Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

A Road Traffic Guidance Service Based on Deep Reinforcement Learning.

Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

3D Trajectory Optimization for Secure UAV Communication with CoMP Reception.

Jianping Yao, Canhui Zhong, Zhihan Liu, Jie Xu

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Cooperative Traffic Signal Control Based on Multi-agent Reinforcement Learning.

Ruowen Gao, Zhihan Liu, Jinglin Li, Quan Yuan

Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

2018

Robust energy efficiency power allocation for relay-assisted uplink cognitive radio networks.

Zhihan Liu, Xiaohui Zhao, Hui Liang

Wirel. Networks, 2018

Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach.

Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu, Fangchun Yang

Wirel. Commun. Mob. Comput., 2018

sdnMAC: A Software-Defined Network Inspired MAC Protocol for Cooperative Safety in VANETs.

Guiyang Luo, Jinglin Li, Lin Zhang, Quan Yuan, Zhihan Liu, Fangchun Yang

IEEE Trans. Intell. Transp. Syst., 2018

Deployment Strategy for Car-Sharing Depots by Clustering Urban Traffic Big Data Based on Affinity Propagation.

Zhihan Liu, Yi Jia, Xiaolu Zhu

Sci. Program., 2018

Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution.

Quan Yuan, Haibo Zhou, Jinglin Li, Zhihan Liu, Fangchun Yang, Xuemin Sherman Shen

IEEE Netw., 2018

Learning Urban Navigation via Value Iteration Network.

Shu Yang, Jinglin Li, Jie Wang, Zhihan Liu, Fangchun Yang

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

HESAVE: An Approach for Online Heuristic GPS Trajectory Sampling.

Zexin Yan, Zhihan Liu, Quan Yuan

Proceedings of the Internet of Vehicles. Technologies and Services Towards Smart City, 2018

2017

Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing.

Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

Int. J. Distributed Sens. Networks, 2017

Physical Layer Security with Untrusted Relays in Wireless Cooperative Networks.

Guiyang Luo, Jinglin Li, Zhihan Liu, Xiaofeng Tao, Fangchun Yang

Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing.

Wenlong Zong, Zhihan Liu, Shu Yang, Quan Yuan, Fangchun Yang

Proceedings of the Internet of Vehicles. Technologies and Services for Smart Cities, 2017

A Rush-Hour Vehicles Scheduling Strategy in Online Car-Sharing System Based on Urban Trajectory Data Analysis.

Xintong Wang, Zhihan Liu, Yi Jia

Proceedings of the Internet of Vehicles. Technologies and Services for Smart Cities, 2017

Learning Transportation Mode Choice for Context-Aware Services with Directed-Graph-Guided Fused Lasso from GPS Trajectory Data.

Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Comparing Electricity Consumer Categories Based on Load Pattern Clustering with Their Natural Types.

Zigui Jiang, Rongheng Lin, Fangchun Yang, Zhihan Liu, Qiqi Zhang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

Route-Oriented Participants Recruitment in Collaborative Crowdsensing.

Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Relaying Message and Motivating Collaboration for VANET Data Service.

Shu Yang, Jinglin Li, Zhihan Liu, Quan Yuan

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

Anomaly Detection for Internet of Vehicles: A Trust Management Scheme with Affinity Propagation.

Shu Yang, Zhihan Liu, Jinglin Li, Shangguang Wang, Fangchun Yang

Mob. Inf. Syst., 2016

Moving Objects Gathering Patterns Retrieving based on Spatio-Temporal Graph.

Junming Zhang, Jinglin Li, Zhihan Liu, Quan Yuan, Fangchun Yang

Int. J. Web Serv. Res., 2016

A Joint Grid Segmentation Based Affinity Propagation Clustering Method for Big Data.

Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Space and Time Constrained Data Offloading in Vehicular Networks.

Quan Yuan, Jinglin Li, Zhihan Liu, Fangchun Yang

Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

Learning Transportation Annotated Mobility Profiles from GPS Data for Context-Aware Mobile Services.

Xiaolu Zhu, Jinglin Li, Zhihan Liu, Shangguang Wang, Fangchun Yang

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

Managing Trust for Intelligence Vehicles: A Cluster Consensus Approach.

Shu Yang, Jinglin Li, Zhihan Liu, Shangguang Wang

Proceedings of the Internet of Vehicles - Safe and Intelligent Mobility, 2015

A Full Service Model for Vehicle Scheduling in One-Way Electric Vehicle Car-Sharing Systems.

Hongman Wang, Zhaohan Li, Xiaolu Zhu, Zhihan Liu

Proceedings of the Internet of Vehicles - Safe and Intelligent Mobility, 2015

An Adaptive and Compressive Data Gathering Scheme in Vehicular Sensor Networks.

Quan Yuan, Zhihan Liu, Jinglin Li, Shu Yang, Fangchun Yang

Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Optimization Approach to Depot Location in Car Sharing Systems with Big Data.

Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014

On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-temporal Graph.

Junming Zhang, Jinglin Li, Shangguang Wang, Zhihan Liu, Quan Yuan, Fangchun Yang

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Tree-Structured Network Based Hierarchical Complex Event Processing in Wireless Sensor Networks.

Mengyuan Xu, Zhihan Liu, Jinglin Li

Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014

POC: An Optimization Strategy of EV Efficient Travelling.

Jiayuan Li, Jinglin Li, Zhihan Liu

Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014

2012

A novel development and analysis solution to PaaS log by using CouchDB.

Zhihan Liu, Yuhua Wang, Rongheng Lin

Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012

2007

Artificial Immune-based Feature Interaction Detection and Resolution for Next Generation Networks.

Hua Liu, Zhihan Liu, Fangchun Yang, Jianyin Zhang

Proceedings of the Feature Interactions in Software and Communication Systems IX, 2007