Jince Wang

11 papers A* 1B 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Concept recursion and generation for long-term time series forecasting.
Int. J. Mach. Learn. Cybern.
Jince Wang, Jian Peng, Peiyu Yi, Feihu Huang
2025 J jnl
Information enhancement graph representation learning.
Pattern Recognit. Lett.
Jince Wang, Jian Peng, Feihu Huang, Sirui Liao, Pengxiang Zhan, Peiyu Yi
2025 J jnl
Intention-aware neural networks with session disentanglement for noise filtering in session-based recommendation.
Appl. Intell.
Feihu Huang, Haoyu Xu, Ning Yang, Jince Wang, Peiyu Yi, Yuan Jiang
2025 J jnl
Power Stability Management for Renewable Energy Resources using Big Data Analysis.
Scalable Comput. Pract. Exp.
Ming Shi, Yueping Deng, Jince Wang, Jicheng Wang, Lin Hao
2024 J jnl
SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks.
Inf. Sci.
Feihu Huang, Jince Wang, Peiyu Yi, Jian Peng, Xi Xiong, Yun Liu
2024 J jnl
Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach.
IEEE Trans. Knowl. Data Eng.
Peiyu Yi, Zhifeng Bao, Feihu Huang, Jince Wang, Jian Peng, Linghao Zhang
2023 A* conf
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting.
ICLR
Huiqiang Wang, Jian Peng, Feihu Huang, Jince Wang, Junhui Chen, Yifei Xiao
2023 J jnl
State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting.
Sensors
Jince Wang, Zibo He, Tianyu Geng, Feihu Huang, Pu Gong, Peiyu Yi, Jian Peng
2023 J jnl
Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit.
Appl. Intell.
Peiyu Yi, Feihu Huang, Jince Wang, Jian Peng
2022 J jnl
A dynamical spatial-temporal graph neural network for traffic demand prediction.
Inf. Sci.
Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng, Xi Xiong
2022 B conf
Time-Series Forecasting With Shape Attention
SMC
Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng