Interpretable aesthetic features for affective image classification. - Xiaohui Wang 004; Jia Jia 001; Jiaming Yin; Lianhong Cai (ICIP, 2013)

Experimental Study of Multivariate Time Series Forecasting Models. - Jiaming Yin; Weixiong Rao; Mingxuan Yuan; Jia Zeng; Kai Zhao; Chenxi Zhang 001; Jiangfeng Li; Qinpei Zhao (CIKM, 2019)

Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. - Qiquan Shi; Jiaming Yin; Jiajun Cai; Andrzej Cichocki; Tatsuya Yokota; Lei Chen 031; Mingxuan Yuan; Jia Zeng (AAAI, 2020)

Towards Accurate Retail Demand Forecasting Using Deep Neural Networks. - Shanhe Liao; Jiaming Yin; Weixiong Rao (DASFAA (3), 2020)

Learning Shortest Paths on Large Dynamic Graphs. - Jiaming Yin; Weixiong Rao; Chenxi Zhang 001 (MDM, 2021)

The Levy Flight of Cities: Analyzing Social-Economical Trajectories with Auto-Embedding. - Linfang Tian; Kai Zhao; Jiaming Yin; Huy Vo; Weixiong Rao (CoRR, 2021)

Learn to Simulate Macro- and Micro-scopic Human Mobility. - Jiaming Yin (SMARTCOMP, 2022)

Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study. - Qinpei Zhao; Guangda Yang; Kai Zhao; Jiaming Yin; Weixiong Rao; Lei Chen 002 (IEEE Trans. Big Data, 2023)

Learn to Optimize the Constrained Shortest Path on Large Dynamic Graphs. - Jiaming Yin; Weixiong Rao; Qinpei Zhao; Chenxi Zhang 001; Pan Hui 001 (IEEE Trans. Mob. Comput., 2024)

Multi-Agent Reinforcement Learning-Based Capacity Planning for On-Demand Vehicular Fog Computing. - Wencan Mao; Jiaming Yin; Yushan Liu; Byungjin Cho; Yang Chen 001; Weixiong Rao; Yu Xiao 001 (IEEE Trans. Intell. Veh., 2025)

Cooperative Path Planning With Asynchronous Multiagent Reinforcement Learning. - Jiaming Yin; Weixiong Rao; Yu Xiao 001; Keshuang Tang (IEEE Trans. Mob. Comput., 2025)