Chao Yang

According to our database, Chao Yang authored at least 16 papers between 2016 and 2025.

Collaborative distances:

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

2025

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey.

Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng

ACM Comput. Surv., February, 2025

2024

Dyformer: A dynamic transformer-based architecture for multivariate time series classification.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu

Inf. Sci., January, 2024

Exploring explicit and implicit graph learning for multivariate time series imputation.

Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Eng. Appl. Artif. Intell., January, 2024

2023

Attentional Gated Res2Net for Multivariate Time Series Classification.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu

Neural Process. Lett., April, 2023

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation.

Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

An End-to-End Mandarin Audio-Visual Speech Recognition Model with a Feature Enhancement Module.

Jinxin Wang, Chao Yang, Zhongwen Guo, Xiaomei Li, Weigang Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Scale Hybrid Fusion Network for Mandarin Audio-Visual Speech Recognition.

Jinxin Wang, Zhongwen Guo, Chao Yang, Xiaomei Li, Ziyuan Cui

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations.

Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification.

Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation.

Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification.

Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2020

Gated Res2Net for Multivariate Time Series Analysis.

Chao Yang, Mingxing Jiang, Zhongwen Guo, Yuan Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Fast and Precise Energy Consumption Prediction Based on Fully Convolutional Attention Res2Net.

Chao Yang, Zhongwen Guo, Yuan Liu

Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019

Time Series Data Classification Based on Dual Path CNN-RNN Cascade Network.

Chao Yang, Wenxiang Jiang, Zhongwen Guo

IEEE Access, 2019

2016

A Hybrid Time Series Matching Algorithm Based on Feature-Points and DTW.

Xi Wang, Mingxing Jiang, Sheng Chen, Chao Yang, Wei Jing, Zhongwen Guo

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

A Hybrid Particle Swarm Optimization for Parallel Machine Scheduling with Shared and Multi-mode Resources.

Xi Wang, Mingxing Jiang, Sheng Chen, Chao Yang, Wei Jing, Zhongwen Guo

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016