| Time series data classification based on dual path CNN-RNN cascade network C Yang, W Jiang, Z Guo IEEE Access 7, 155304-155312, 2019 | 61 | 2019 |
| Exploiting explicit and implicit item relationships for session-based recommendation Z Li, X Wang, C Yang, L Yao, J McAuley, G Xu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 22 | 2023 |
| Attentional gated Res2Net for multivariate time series classification C Yang, X Wang, L Yao, G Long, J Jiang, G Xu Neural Processing Letters 55 (2), 1371-1395, 2023 | 18 | 2023 |
| Adaptive graph recurrent network for multivariate time series imputation Y Chen, Z Li, C Yang, X Wang, G Long, G Xu International Conference on Neural Information Processing, 64-73, 2022 | 16 | 2022 |
| Starvation and a conspecific competitor influence multiple predator effects in a swimming crab (Portunus trituberculatus)-Manila clam (Ruditapes philippinarum) foraging system D Liu, F Wang, C Yang, N Hu, Y Sun Journal of Experimental Marine Biology and Ecology 495, 35-42, 2017 | 16 | 2017 |
| A New Method of Aquatic Animal Personality Analysis Based on Machine Learning (PAML): Taking Swimming Crab Portunus trituberculatus as an Example C Yang, X Su, D Liu, Z Guo, F Wang, Y Lu Frontiers in Marine Science 7, 32, 2020 | 13 | 2020 |
| Dyformer: A dynamic transformer-based architecture for multivariate time series classification C Yang, X Wang, L Yao, G Long, G Xu Information Sciences 656, 119881, 2024 | 11 | 2024 |
| Gated res2net for multivariate time series analysis C Yang, M Jiang, Z Guo, Y Liu 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 11 | 2020 |
| Predator size influences intraspecific multiple predator effects in swimming crab-Manila clam system Y Sun, F Wang, C Yang, D Liu, X Wang, X Su Aquaculture 488, 74-79, 2018 | 10 | 2018 |
| Fast and Precise Energy Consumption Prediction Based on Fully Convolutional Attention Res2Net C Yang, Z Guo, Y Liu Proceedings of the ACM Turing Celebration Conference-China, 185-189, 2020 | 5 | 2020 |
| Time series data prediction based on sequence to sequence model C Yang, Z Guo, L Xian IOP Conference Series: Materials Science and Engineering 692 (1), 012047, 2019 | 5 | 2019 |
| Multi-Scale Hybrid Fusion Network for Mandarin Audio-Visual Speech Recognition J Wang, Z Guo, C Yang, X Li, Z Cui 2023 IEEE International Conference on Multimedia and Expo (ICME), 642-647, 2023 | 2 | 2023 |
| Design of high-efficiency refrigerator test system for industrial Internet of things L Xian, W Jing, C Yang IOP Conference Series: Materials Science and Engineering 692 (1), 012053, 2019 | 2 | 2019 |
| Graph and sequential neural networks in session-based recommendation: A survey Z Li, C Yang, Y Chen, X Wang, H Chen, G Xu, L Yao, M Sheng ACM Computing Surveys 57 (2), 1-37, 2024 | 1 | 2024 |
| Application of the DEB-TKTD model with multi-omics data: Prediction of life history traits of Chinese mitten crab (Eriocheir sinensis) under different salinities H Zhang, S Dong, H Shan, C Yang, F Wang Ecotoxicology and Environmental Safety 290, 117635, 2025 | | 2025 |
| An End-to-End Mandarin Audio-Visual Speech Recognition Model with a Feature Enhancement Module J Wang, C Yang, Z Guo, X Li, W Wang 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | | 2023 |
| Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification C Yang, Y Chen, Z Li, X Wang International Conference on Advanced Data Mining and Applications, 34-47, 2023 | | 2023 |
| From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations C Yang, X Wang, L Yao, G Long, G Xu International Conference on Advanced Data Mining and Applications, 19-33, 2023 | | 2023 |
| Pluggable Explanation for Deep Neural Networks-based Multivariate Time Series Classification C Yang, X Wang, L Yao, J Jiang, G Xu Australasian Joint Conference on Artificial Intelligence, 2022 | | 2022 |
| An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification C Yang, X Wang, L Yao, J Jiang, G Xu Australasian Joint Conference on Artificial Intelligence, 3-14, 2022 | | 2022 |
Xianzhi WangUniversity of Technology SydneyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uts.edu.au