LIN Yilun

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Fei-Yue WangProfessor, Formerly The University of Arizona, Currently Chinese Academy of SciencesPatvirtintas el. paštas ia.ac.cn
Li LiTsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Xingyuan DaiInstitute of Automation, Chinese Academy of SciencesPatvirtintas el. paštas ia.ac.cn
Kunfeng Wang, ProfessorCollege of Information Science and Technology, Beijing University of Chemical TechnologyPatvirtintas el. paštas buct.edu.cn
Dongpu CaoProfessor, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Yisheng LvThe University of Chinese Academy of Sciences, and Chinese Academy of SciencesPatvirtintas el. paštas ia.ac.cn
Xinhu ZhengAssistant Professor, The Hong Kong University of Science and Technology (Guangzhou)Patvirtintas el. paštas hkust-gz.edu.cn
YI YUYoung Researcher @ Shanghai AI LabPatvirtintas el. paštas zju.edu.cn
Shengyue YaoPatvirtintas el. paštas pjlab.org.cn
Xuhong WangShanghai Artificial Intelligence LaboratoryPatvirtintas el. paštas pjlab.org.cn
Chao GouAssociate Professor, Sun Yat-sen UniversityPatvirtintas el. paštas mail.sysu.edu.cn
Yanjie DuanHuawei Noah's Ark LabPatvirtintas el. paštas huawei.com
Chen ZhaoInstitute of Automation, Chinese Academy of SciencesPatvirtintas el. paštas ia.ac.cn
Xiaoxiang NaUniversity Assistant Professor in Applied Mechanics, University of CambridgePatvirtintas el. paštas cam.ac.uk
Lingxi LiProfessor of Electrical and Computer Engineering, Purdue UniversityPatvirtintas el. paštas purdue.edu
Ding WangShanghai AI LabPatvirtintas el. paštas pjlab.org.cn
Xiao WangPostdoc@University of Washington, CS Ph.D@PurduePatvirtintas el. paštas uw.edu
Yunfeng AiUniversity of Chinese Academy of SciencesPatvirtintas el. paštas ucas.ac.cn
Long ChenWaytous，Chinese Academy of SciencesPatvirtintas el. paštas ia.ac.cn
Jingmin XinXi'an Jiaotong UniversityPatvirtintas el. paštas mail.xjtu.edu.cn

Stebėti

LIN Yilun

Kiti vardaiYilun Lin, 林懿伦

Shanghai AI Laboratory, Urban Computing Group

Patvirtintas el. paštas pjlab.org.cn

Social Computing Reinforcement Learning Parallel System Parallel Intelligence AI Safety


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Generative adversarial networks: introduction and outlook K Wang, C Gou, Y Duan, Y Lin, X Zheng, FY Wang IEEE/CAA Journal of Automatica Sinica 4 (4), 588-598, 2017	828	2017
Capturing car-following behaviors by deep learning X Wang, R Jiang, L Li, Y Lin, X Zheng, FY Wang IEEE Transactions on Intelligent Transportation Systems 19 (3), 910-920, 2017	331	2017
Parallel testing of vehicle intelligence via virtual-real interaction L Li, X Wang, K Wang, Y Lin, J Xin, L Chen, L Xu, B Tian, Y Ai, J Wang, ... Science robotics 4 (28), eaaw4106, 2019	252	2019
What does ChatGPT say: The DAO from algorithmic intelligence to linguistic intelligence FY Wang, Q Miao, X Li, X Wang, Y Lin IEEE/CAA Journal of Automatica Sinica 10 (3), 575-579, 2023	239	2023
Parallel learning: A perspective and a framework L Li, Y Lin, N Zheng, FY Wang IEEE/CAA Journal of Automatica Sinica 4 (3), 389-395, 2017	201	2017
平行学习——机器学习的一个新型理论框架李力，林懿伦，曹东璞，郑南宁，王飞跃自动化学报 43 (1), 1-8, 2017	171*	2017
Artificial intelligence test: A case study of intelligent vehicles L Li, YL Lin, NN Zheng, FY Wang, Y Liu, D Cao, K Wang, WL Huang Artificial Intelligence Review 50, 441-465, 2018	162	2018
生成式对抗网络 GAN 的研究进展与展望王坤峰，苟超，段艳杰，林懿伦，郑心湖，王飞跃自动化学报 43 (3), 321-332, 2017	131	2017
Transportation 5.0: The DAO to safe, secure, and sustainable intelligent transportation systems FY Wang, Y Lin, PA Ioannou, L Vlacic, X Liu, A Eskandarian, Y Lv, X Na, ... IEEE Transactions on Intelligent Transportation Systems 24 (10), 10262-10278, 2023	125	2023
Pattern sensitive prediction of traffic flow based on generative adversarial framework Y Lin, X Dai, L Li, FY Wang IEEE Transactions on Intelligent Transportation Systems 20 (6), 2395-2400, 2018	107	2018
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending X Dai, R Fu, E Zhao, Z Zhang, Y Lin, FY Wang, L Li Transportation Research Part C: Emerging Technologies 103, 142-157, 2019	93	2019
An efficient deep reinforcement learning model for urban traffic control Y Lin, X Dai, L Li, FY Wang arXiv preprint arXiv:1808.01876, 2018	91	2018
Long memory is important: A test study on deep-learning based car-following model X Wang, R Jiang, L Li, YL Lin, FY Wang Physica A: Statistical Mechanics and its Applications 514, 786-795, 2019	84	2019
人工智能研究的新前线: 生成式对抗网络林懿伦，戴星原，李力，王晓，王飞跃自动化学报 44 (5), 775-792, 2018	71*	2018
Deeptrend: A deep hierarchical neural network for traffic flow prediction X Dai, R Fu, Y Lin, L Li, FY Wang arXiv preprint arXiv:1707.03213, 2017	71	2017
社会计算与计算社会: 智慧社会的基础与必然王飞跃，王晓，袁勇，王涛，林懿伦科学通报 (中文版) 60 (5/6), 460-469, 2015	68*	2015
Decentralized autonomous operations and organizations in transverse: Federated intelligence for smart mobility C Zhao, X Dai, Y Lv, J Niu, Y Lin IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (4), 2062-2072, 2022	45	2022
Mobility 5.0: Smart logistics and transportation services in cyber-physical-social systems Y Lin, X Na, D Wang, X Dai, FY Wang IEEE Transactions on Intelligent Vehicles 8 (6), 3527-3532, 2023	42	2023
Image-based traffic signal control via world models X Dai, C Zhao, X Wang, Y Lv, Y Lin, FY Wang Frontiers of Information Technology & Electronic Engineering 23 (12), 1795-1813, 2022	34	2022
Mastering arterial traffic signal control with multi-agent attention-based soft actor-critic model F Mao, Z Li, Y Lin, L Li IEEE Transactions on Intelligent Transportation Systems 24 (3), 3129-3144, 2022	33	2022

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