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ORCIDJiaming Yin
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2020 – today
- 2024
[j2]Jiaming Yin
, Weixiong Rao, Qinpei Zhao, Chenxi Zhang, Pan Hui:
Learn to Optimize the Constrained Shortest Path on Large Dynamic Graphs. IEEE Trans. Mob. Comput. 23(3): 2456-2469 (2024)- [i3]Jiaming Yin, Weixiong Rao, Yu Xiao, Keshuang Tang:
Cooperative Path Planning with Asynchronous Multiagent Reinforcement Learning. CoRR abs/2409.00754 (2024) - 2023
- [j1]Qinpei Zhao, Guangda Yang, Kai Zhao, Jiaming Yin, Weixiong Rao, Lei Chen:
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study. IEEE Trans. Big Data 9(6): 1536-1548 (2023) - 2022
- [c6]Jiaming Yin:
Learn to Simulate Macro- and Micro-scopic Human Mobility. SMARTCOMP 2022: 198-199 - 2021
- [c5]Jiaming Yin, Weixiong Rao, Chenxi Zhang:
Learning Shortest Paths on Large Dynamic Graphs. MDM 2021: 201-208 - [i2]Linfang Tian, Kai Zhao, Jiaming Yin, Huy Vo, Weixiong Rao:
The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding. CoRR abs/2112.14594 (2021) - 2020
- [c4]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI 2020: 5758-5766 - [c3]Shanhe Liao, Jiaming Yin, Weixiong Rao:
Towards Accurate Retail Demand Forecasting Using Deep Neural Networks. DASFAA (3) 2020: 711-723 - [i1]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. CoRR abs/2002.12135 (2020)
2010 – 2019
- 2019
- [c2]Jiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao:
Experimental Study of Multivariate Time Series Forecasting Models. CIKM 2019: 2833-2839 - 2013
- [c1]Xiaohui Wang, Jia Jia, Jiaming Yin, Lianhong Cai:
Interpretable aesthetic features for affective image classification. ICIP 2013: 3230-3234
Coauthor Index
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