Jingwei Wang

According to our database, Jingwei Wang authored at least 27 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Enhancing CrossTransformer with fine-grained spatio-temporal modeling for few-shot action recognition.

Yukai Zhao, Jingwei Wang, Tianyi Yin, Min Liu, Gaowei Xu, Yunlong Ma

Neurocomputing, 2026

Integrating spatio-temporal modeling of RGB video with multi-stream skeleton representations for advanced human action recognition.

Yukai Zhao, Jingwei Wang, Tianyi Yin, Jiexuan Cai, Min Liu, Yunlong Ma

Neurocomputing, 2026

Multimodal individual counting: Robust crowd estimation under low-visibility conditions.

Tianyi Yin, Jingwei Wang, Chenze Wang, Jiexuan Cai, Han Wang, Yukai Zhao, Min Liu, Yunlong Ma

Neurocomputing, 2026

Unknown intervention-aware neural Granger causal discovery via Kullback-Leibler divergence constraint.

Chenze Wang, Tianyi Yin, Han Wang, Xiaohan Zhang, Gaowei Xu, Jingwei Wang, Min Liu

Adv. Eng. Informatics, 2026

R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models.

Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Fine-grained adaptive contrastive learning for unsupervised feature extraction.

Tianyi Yin, Jingwei Wang, Yukai Zhao, Han Wang, Yunlong Ma, Min Liu

Neurocomputing, 2025

Assortativity attention based Multi-Dim Graph neural Architecture Search under distribution shifts.

Yinning Shao, Jingwei Wang, Qiyi Wang, Yukai Zhao, Yunlong Ma, Min Liu, Yufeng Chen

Neurocomputing, 2025

ACET: An Adaptive Component Extraction and Tokenization Framework for Time Series Forecasting.

Jiexuan Cai, Tianyi Yin, Jingwei Wang, Chenze Wang, Yukai Zhao, Yunlong Ma, Min Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting.

Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Convolutional Network Aided Inverse Graph Partitioning for Resource Allocation.

Jingwei Wang, Chuan Liu, Yukai Zhao, Zhirui Zhao, Yunlong Ma, Min Liu, Weiming Shen

IEEE Trans. Ind. Informatics, March, 2024

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting.

Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen, Yufeng Chen

CoRR, 2024

Towards Online Anomalous Trajectory Detection and Classification.

Jingwei Wang, Tianle Ni, Yukai Zhao, Qilin Huang, Yunlong Ma, Min Liu, Weiming Shen

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Few-Shot Learning for Fault Diagnosis With a Dual Graph Neural Network.

Han Wang, Jingwei Wang, Yukai Zhao, Qing Liu, Min Liu, Weiming Shen

IEEE Trans. Ind. Informatics, 2023

Learning to Discover Various Simpson's Paradoxes.

Jingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Tiny Graph Neural Network for Inverse Graph Partitioning with Imbalance Constraints.

Yinning Shao, Jingwei Wang, Yukai Zhao, Yunlong Ma, Min Liu

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

GON: End-to-end optimization framework for constraint graph optimization problems.

Chuan Liu, Jingwei Wang, Yunkang Cao, Min Liu, Weiming Shen

Knowl. Based Syst., 2022

Adaptive spatiotemporal graph convolutional network with intermediate aggregation of multi-stream skeleton features for action recognition.

Yukai Zhao, Jingwei Wang, Han Wang, Min Liu, Yunlong Ma

Neurocomputing, 2022

FastATDC: Fast Anomalous Trajectory Detection and Classification.

Tianle Ni, Jingwei Wang, Yunlong Ma, Shuang Wang, Min Liu, Weiming Shen

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Automated Allocation of Detention Rooms Based on Inverse Graph Partitioning.

Jingwei Wang, Chuan Liu, Yukai Zhao, Yunlong Ma, Min Liu, Weiming Shen

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Anomalous Trajectory Detection and Classification Based on Difference and Intersection Set Distance.

Jingwei Wang, Yun Yuan, Tianle Ni, Yunlong Ma, Min Liu, Gaowei Xu, Weiming Shen

IEEE Trans. Veh. Technol., 2020

Fast Evaluation of Link Prediction by Random Sampling of Unobserved Links.

Jingwei Wang, Yunlong Ma, Zeyu Chen, Xuheng Wang, Yuan Yun, Weiming Shen, Min Liu

CoRR, 2020

W-Index: An Index for Evaluating Link Prediction considering Only the Role of Wins.

Yun Yuan, Jingwei Wang, Yunlong Ma, Min Liu

Complex., 2020

Cross-Domain Fault Diagnosis with One-Dimensional Convolutional Neural Network^*.

Zichun Wang, Gaowei Xu, Jingwei Wang, Min Liu, Yumin Ma

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Link Prediction Based on Community Information and Its Parallelization.

Jingwei Wang, Yunlong Ma, Min Liu, Weiming Shen

IEEE Access, 2019

BPIIoT: A Light-Weighted Blockchain-Based Platform for Industrial IoT.

Li Bai, Mi Hu, Min Liu, Jingwei Wang

IEEE Access, 2019

Data-Driven Fault Diagnostics and Prognostics for Predictive Maintenance: A Brief Overview^*.

Gaowei Xu, Min Liu, Jingwei Wang, Yumin Ma, Jian Wang, Fei Li, Weiming Shen

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2017

A vertex similarity index using community information to improve link prediction accuracy.

Jingwei Wang, Yunlong Ma, Min Liu, Han Yuan, Weiming Shen, Ling Li

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017