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ORCIDZhihan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Yanjun Fu
, Wenqiang Yang, Fuqing Ma, Guangyu Jiang, Zhihan Liu:
Novel Calibration Method for the Refractive Parameters of Transparent Screens. IEEE Trans. Instrum. Meas. 73: 1-8 (2024)- [c36]Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang:
Sample-Efficient Multi-Agent RL: An Optimization Perspective. ICLR 2024 - [c35]Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang:
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. ICML 2024 - [i13]Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang:
How Can LLM Guide RL? A Value-Based Approach. CoRR abs/2402.16181 (2024) - [i12]Hongyi Guo, Zhihan Liu, Yufeng Zhang, Zhaoran Wang:
Can Large Language Models Play Games? A Case Study of A Self-Play Approach. CoRR abs/2403.05632 (2024) - [i11]Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang:
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR abs/2405.16436 (2024) - [i10]Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu:
Toward Optimal LLM Alignments Using Two-Player Games. CoRR abs/2406.10977 (2024) - [i9]Zhihan Liu, Yubo Chai, Jianfeng Li:
Towards Fully Autonomous Research Powered by LLMs: Case Study on Simulations. CoRR abs/2408.15512 (2024) - [i8]Ruijie Xu, Zhihan Liu, Yongfei Liu, Shipeng Yan, Zhaoran Wang, Zhi Zhang, Xuming He:
Just say what you want: only-prompting self-rewarding online preference optimization. CoRR abs/2409.17534 (2024) - 2023
- [j14]Zhihan Liu, Xiang Li, Siqi Liu, Wei Li, Xiangxu Meng, Jing Jia:
A Real-Time Pedestrian Social Distancing Risk Alert System for COVID-19. Comput. Syst. Sci. Eng. 47(1): 937-954 (2023) - [j13]Yanjun Fu, Fuqing Ma, Guangyu Jiang, Yuhui Peng, Hewu Li, Zhihan Liu, Wenqiang Yang:
A Novel Phase Measuring Deflectometry Method Using a Curved Screen. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c34]Wei Li, Xiang Li, Wanxin Liu, Zhihan Liu, Jing Jia, Jiayi Li:
X-ray Prohibited Items Recognition Based on Improved YOLOv5. WISA 2023: 26-38 - [c33]Wei Li, Xiang Li, Wanzheng Feng, Guanglu Jin, Zhihan Liu, Jing Jia:
Vulnerability Detection Based on Unified Code Property Graph. WISA 2023: 359-370 - [c32]Xiangxu Meng, Wei Li, Zheng Zhao, Zhihan Liu, Huiqiang Wang:
Hierarchical Contrastive Learning for CSI-Based Fingerprint Localization. ICANN (8) 2023: 306-318 - [c31]Xiangxu Meng, Wei Li, Zheng Zhao, Zhihan Liu, Guangsheng Feng, Huiqiang Wang:
Detformer: Detect the Reliable Attention Index for Ultra-long Time Series Forecasting. ICIC (5) 2023: 457-468 - [c30]Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou:
Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR 2023 - [c29]Zhihan Liu, Zhonglin Zhang:
An improved under-sampling algorithm based on density Peak clustering. MLNLP 2023: 204-208 - [c28]Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang:
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration. NeurIPS 2023 - [i7]Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou:
Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR abs/2303.01728 (2023) - [i6]Zhihan Liu, Miao Lu, Wei Xiong, Han Zhong, Hao Hu, Shenao Zhang, Sirui Zheng, Zhuoran Yang, Zhaoran Wang:
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration. CoRR abs/2305.18258 (2023) - [i5]Zhihan Liu, Hao Hu, Shenao Zhang, Hongyi Guo, Shuqi Ke, Boyi Liu, Zhaoran Wang:
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. CoRR abs/2309.17382 (2023) - [i4]Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang:
Sample-Efficient Multi-Agent RL: An Optimization Perspective. CoRR abs/2310.06243 (2023) - [i3]Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo:
A Principled Framework for Knowledge-enhanced Large Language Model. CoRR abs/2311.11135 (2023) - 2022
- [j12]Hailiang Chen, Chuan Ai, Bin Chen, Yong Zhao, Kaisheng Lai, Lingnan He, Zhihan Liu:
The research on propagation modeling and governance strategies of online rumors based on behavior-attitude. Internet Res. 32(2): 620-639 (2022) - [c27]Zhihan Liu, Miao Lu, Zhaoran Wang, Michael I. Jordan, Zhuoran Yang:
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy. ICML 2022: 13870-13911 - [c26]Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation. ICML 2022: 14094-14138 - 2021
- [i2]Zhihan Liu, Yufeng Zhang, Zuyue Fu, Zhuoran Yang, Zhaoran Wang:
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation. CoRR abs/2108.08765 (2021) - 2020
- [j11]Guiyang Luo, Zhihan Liu, Jinglin Li, Fangchun Yang:
Understanding Cooperative Data Exchange Problem in Multi-Hop Wireless Network. IEEE Wirel. Commun. Lett. 9(12): 2054-2058 (2020)
2010 – 2019
- 2019
- [j10]Jinglin Li, Guiyang Luo, Nan Cheng, Quan Yuan, Zhiheng Wu, Shang Gao, Zhihan Liu:
An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control. IEEE Internet Things J. 6(1): 953-966 (2019) - [j9]Quan Yuan, Haibo Zhou, Zhihan Liu, Jinglin Li, Fangchun Yang, Xuemin Shen:
CESense: Cost-Effective Urban Environment Sensing in Vehicular Sensor Networks. IEEE Trans. Intell. Transp. Syst. 20(9): 3235-3246 (2019) - [c25]Ruowen Gao, Zhihan Liu, Jinglin Li, Quan Yuan:
Cooperative Traffic Signal Control Based on Multi-agent Reinforcement Learning. BlockSys 2019: 787-793 - [c24]Jianping Yao, Canhui Zhong, Zhihan Liu, Jie Xu:
3D Trajectory Optimization for Secure UAV Communication with CoMP Reception. GLOBECOM 2019: 1-6 - [c23]Xiao Wang, Quan Yuan, Zhihan Liu, Yushun Dong, Xiaojuan Wei, Jinglin Li:
Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network. IOV 2019: 88-100 - [c22]Kaihui Chen, Zhihan Liu, Jinglin Li, Quan Yuan:
A Road Traffic Guidance Service Based on Deep Reinforcement Learning. IOV 2019: 353-360 - [i1]Jianping Yao, Canhui Zhong, Zhihan Liu, Jie Xu:
3D Trajectory Optimization for Secure UAV Communication with CoMP Reception. CoRR abs/1905.11147 (2019) - 2018
- [j8]Quan Yuan, Haibo Zhou, Jinglin Li, Zhihan Liu, Fangchun Yang, Xuemin Sherman Shen:
Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution. IEEE Netw. 32(1): 80-86 (2018) - [j7]Zhihan Liu, Yi Jia, Xiaolu Zhu:
Deployment Strategy for Car-Sharing Depots by Clustering Urban Traffic Big Data Based on Affinity Propagation. Sci. Program. 2018: 3907513:1-3907513:9 (2018) - [j6]Guiyang Luo, Jinglin Li, Lin Zhang, Quan Yuan, Zhihan Liu, Fangchun Yang:
sdnMAC: A Software-Defined Network Inspired MAC Protocol for Cooperative Safety in VANETs. IEEE Trans. Intell. Transp. Syst. 19(6): 2011-2024 (2018) - [j5]Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu, Fangchun Yang:
Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach. Wirel. Commun. Mob. Comput. 2018: 1287969:1-1287969:13 (2018) - [j4]Zhihan Liu, Xiaohui Zhao, Hui Liang:
Robust energy efficiency power allocation for relay-assisted uplink cognitive radio networks. Wirel. Networks 24(4): 1237-1250 (2018) - [c21]Zexin Yan, Zhihan Liu, Quan Yuan:
HESAVE: An Approach for Online Heuristic GPS Trajectory Sampling. IOV 2018: 193-207 - [c20]Shu Yang, Jinglin Li, Jie Wang, Zhihan Liu, Fangchun Yang:
Learning Urban Navigation via Value Iteration Network. Intelligent Vehicles Symposium 2018: 800-805 - 2017
- [j3]Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang:
Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing. Int. J. Distributed Sens. Networks 13(6) (2017) - [c19]Shu Yang, Jinglin Li, Zhihan Liu, Quan Yuan:
Relaying Message and Motivating Collaboration for VANET Data Service. SCC 2017: 52-59 - [c18]Shu Yang, Jinglin Li, Quan Yuan, Zhihan Liu:
Route-Oriented Participants Recruitment in Collaborative Crowdsensing. CollaborateCom 2017: 164-175 - [c17]Zigui Jiang, Rongheng Lin, Fangchun Yang, Zhihan Liu, Qiqi Zhang:
Comparing Electricity Consumer Categories Based on Load Pattern Clustering with Their Natural Types. ICA3PP 2017: 658-667 - [c16]Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang:
Learning Transportation Mode Choice for Context-Aware Services with Directed-Graph-Guided Fused Lasso from GPS Trajectory Data. ICWS 2017: 692-699 - [c15]Xintong Wang, Zhihan Liu, Yi Jia:
A Rush-Hour Vehicles Scheduling Strategy in Online Car-Sharing System Based on Urban Trajectory Data Analysis. IOV 2017: 31-40 - [c14]Wenlong Zong, Zhihan Liu, Shu Yang, Quan Yuan, Fangchun Yang:
Multi-Task Oriented Participant Recruitment for Vehicular Crowdsensing. IOV 2017: 92-104 - [c13]Guiyang Luo, Jinglin Li, Zhihan Liu, Xiaofeng Tao, Fangchun Yang:
Physical Layer Security with Untrusted Relays in Wireless Cooperative Networks. WCNC 2017: 1-6 - 2016
- [j2]Junming Zhang, Jinglin Li, Zhihan Liu, Quan Yuan, Fangchun Yang:
Moving Objects Gathering Patterns Retrieving based on Spatio-Temporal Graph. Int. J. Web Serv. Res. 13(3): 88-107 (2016) - [j1]Shu Yang, Zhihan Liu, Jinglin Li, Shangguang Wang, Fangchun Yang:
Anomaly Detection for Internet of Vehicles: A Trust Management Scheme with Affinity Propagation. Mob. Inf. Syst. 2016: 5254141:1-5254141:10 (2016) - [c12]Xiaolu Zhu, Jinglin Li, Zhihan Liu, Shangguang Wang, Fangchun Yang:
Learning Transportation Annotated Mobility Profiles from GPS Data for Context-Aware Mobile Services. SCC 2016: 475-482 - [c11]Quan Yuan, Jinglin Li, Zhihan Liu, Fangchun Yang:
Space and Time Constrained Data Offloading in Vehicular Networks. HPCC/SmartCity/DSS 2016: 398-405 - [c10]Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang:
A Joint Grid Segmentation Based Affinity Propagation Clustering Method for Big Data. HPCC/SmartCity/DSS 2016: 1232-1233 - 2015
- [c9]Xiaolu Zhu, Jinglin Li, Zhihan Liu, Fangchun Yang:
Optimization Approach to Depot Location in Car Sharing Systems with Big Data. BigData Congress 2015: 335-342 - [c8]Quan Yuan, Zhihan Liu, Jinglin Li, Shu Yang, Fangchun Yang:
An Adaptive and Compressive Data Gathering Scheme in Vehicular Sensor Networks. ICPADS 2015: 207-215 - [c7]Hongman Wang, Zhaohan Li, Xiaolu Zhu, Zhihan Liu:
A Full Service Model for Vehicle Scheduling in One-Way Electric Vehicle Car-Sharing Systems. IOV 2015: 25-36 - [c6]Shu Yang, Jinglin Li, Zhihan Liu, Shangguang Wang:
Managing Trust for Intelligence Vehicles: A Cluster Consensus Approach. IOV 2015: 210-220 - 2014
- [c5]Jiayuan Li, Jinglin Li, Zhihan Liu:
POC: An Optimization Strategy of EV Efficient Travelling. APSCC 2014: 42-47 - [c4]Mengyuan Xu, Zhihan Liu, Jinglin Li:
Tree-Structured Network Based Hierarchical Complex Event Processing in Wireless Sensor Networks. APSCC 2014: 185-190 - [c3]Junming Zhang, Jinglin Li, Shangguang Wang, Zhihan Liu, Quan Yuan, Fangchun Yang:
On Retrieving Moving Objects Gathering Patterns from Trajectory Data via Spatio-temporal Graph. BigData Congress 2014: 390-397 - 2012
- [c2]Zhihan Liu, Yuhua Wang, Rongheng Lin:
A novel development and analysis solution to PaaS log by using CouchDB. IC-NIDC 2012: 251-255
2000 – 2009
- 2007
- [c1]Hua Liu, Zhihan Liu, Fangchun Yang, Jianyin Zhang:
Artificial Immune-based Feature Interaction Detection and Resolution for Next Generation Networks. ICFI 2007: 145-160
Coauthor Index
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