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Yinuo Zhao
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2020 – today
- 2024
- [j5]Yinuo Zhao, Chi Harold Liu
, Tianjiao Yi, Guozheng Li
, Dapeng Wu
:
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models. IEEE J. Sel. Areas Commun. 42(12): 3566-3580 (2024) - [i4]Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Xiaozhu Ju, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang:
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. CoRR abs/2401.09258 (2024) - [i3]Kun Wu, Chengkai Hou, Jiaming Liu, Zhengping Che, Xiaozhu Ju, Zhuqin Yang, Meng Li, Yinuo Zhao, Zhiyuan Xu, Guang Yang, Zhen Zhao, Guangyu Li, Zhao Jin, Lecheng Wang, Jilei Mao, Xinhua Wang, Shichao Fan, Ning Liu, Pei Ren, Qiang Zhang, Yaoxu Lyu, Mengzhen Liu, Jingyang He, Yulin Luo, Zeyu Gao, Chenxuan Li, Chenyang Gu, Yankai Fu, Di Wu, Xingyu Wang, Sixiang Chen, Zhenyu Wang, Pengju An, Siyuan Qian, Shanghang Zhang, Jian Tang:
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation. CoRR abs/2412.13877 (2024) - [i2]Kun Wu, Yinuo Zhao, Zhiyuan Xu, Zhengping Che, Chengxiang Yin, Chi Harold Liu, Qinru Qiu, Feiferi Feng, Jian Tang:
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning. CoRR abs/2412.16848 (2024) - 2023
- [j4]Chao Zhong, Wei Du, Wei Xu, Qianhui Huang, Yinuo Zhao, Mingming Wang:
LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction. Decis. Support Syst. 169: 113955 (2023) - [c5]Bo Wei, Jianxin Zhao, Yinuo Zhao, Feng Tian:
Multi-Skill Policy Transfer by Option-based Deep Reinforcement Learning for Autonomous Driving. BIGCOM 2023: 278-285 - [c4]Yinuo Zhao, Zicun Wang, Lin Zhang, Ming Xiao:
Intelligent Multi-peak Beam Training in mmWave Communications with Deep Neural Networks. WCSP 2023: 552-556 - 2022
- [c3]Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. AAAI 2022: 3481-3489 - [c2]Yinuo Zhao, Yuxin Kang, Kun Guo:
Chinese New Media Stocks Liquidity Risk And Spillover Effect. ITQM 2022: 1007-1014 - [i1]Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving. CoRR abs/2202.08557 (2022) - 2021
- [j3]Yinuo Zhao, Chi Harold Liu
:
Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 22(4): 2314-2325 (2021) - [j2]Chi Harold Liu
, Zipeng Dai, Yinuo Zhao, Jon Crowcroft
, Dapeng Wu
, Kin K. Leung:
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 20(1): 130-146 (2021) - 2020
- [j1]Yufeng Zhan, Chi Harold Liu
, Yinuo Zhao, Jiang Zhang, Jian Tang
:
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 19(10): 2316-2329 (2020) - [c1]Chi Harold Liu, Yinuo Zhao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu
, Kin K. Leung:
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. ICDE 2020: 25-36
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