A Hybrid Particle Swarm Optimization for Parallel Machine Scheduling with Shared and Multi-mode Resources. - Xi Wang 003; Mingxing Jiang; Sheng Chen; Chao Yang 024; Wei Jing; Zhongwen Guo (ISCID (1), 2016)

A Hybrid Time Series Matching Algorithm Based on Feature-Points and DTW. - Xi Wang 003; Mingxing Jiang; Sheng Chen; Chao Yang 024; Wei Jing; Zhongwen Guo (ISCID (2), 2016)

Time Series Data Classification Based on Dual Path CNN-RNN Cascade Network. - Chao Yang 024; Wenxiang Jiang 002; Zhongwen Guo (IEEE Access, 2019)

Fast and Precise Energy Consumption Prediction Based on Fully Convolutional Attention Res2Net. - Chao Yang 024; Zhongwen Guo; Yuan Liu (ACM TUR-C, 2020)

Gated Res2Net for Multivariate Time Series Analysis. - Chao Yang 024; Mingxing Jiang; Zhongwen Guo; Yuan Liu (IJCNN, 2020)

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Jing Jiang 002; Guandong Xu (AI, 2022)

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. - Yakun Chen; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guodong Long; Guandong Xu (ICONIP (5), 2022)

Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001 (ADMA (1), 2023)

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (ADMA (1), 2023)

Multi-Scale Hybrid Fusion Network for Mandarin Audio-Visual Speech Recognition. - Jinxin Wang; Zhongwen Guo; Chao Yang 024; Xiaomei Li; Ziyuan Cui (ICME, 2023)

An End-to-End Mandarin Audio-Visual Speech Recognition Model with a Feature Enhancement Module. - Jinxin Wang; Chao Yang 024; Zhongwen Guo; Xiaomei Li; Weigang Wang (SMC, 2023)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. - Zihao Li 005; Xianzhi Wang 001; Chao Yang 024; Lina Yao 001; Julian J. McAuley; Guandong Xu (WSDM, 2023)

Attentional Gated Res2Net for Multivariate Time Series Classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Jing Jiang 002; Guandong Xu (Neural Process. Lett., 2023)

Exploring explicit and implicit graph learning for multivariate time series imputation. - Yakun Chen; Ruotong Hu; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guodong Long; Guandong Xu (Eng. Appl. Artif. Intell., 2024)

Dyformer: A dynamic transformer-based architecture for multivariate time series classification. - Chao Yang 024; Xianzhi Wang 001; Lina Yao 001; Guodong Long; Guandong Xu (Inf. Sci., 2024)

Large Language Models are Few-shot Multivariate Time Series Classifiers. - Yakun Chen; Zihao Li 005; Chao Yang 024; Xianzhi Wang 001; Guandong Xu (CoRR, 2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. - Zihao Li 005; Chao Yang 024; Yakun Chen; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu; Lina Yao 001; Michael Sheng 001 (ACM Comput. Surv., 2025)

Deep multimodal learning for time series analysis in social computing: a survey. - Chao Yang 024; Yakun Chen; Zihao Li 005; Xianzhi Wang 001; Kaize Shi; Lina Yao 001; Guandong Xu; Zhongwen Guo (Int. J. Multim. Inf. Retr., 2025)

Listwise Preference Alignment Optimization for Tail Item Recommendation. - Zihao Li 005; Chao Yang 024; Tong Zhang; Yakun Chen; Xianzhi Wang 001; Guandong Xu; Daoyi Dong (CoRR, 2025)