A multi-modal hierarchical recurrent neural network for depression detection S Yin, C Liang, H Ding, S Wang Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019 | 60 | 2019 |
A novel dynamic model capturing spatial and temporal patterns for facial expression analysis S Wang, Z Zheng, S Yin, J Yang, Q Ji IEEE transactions on pattern analysis and machine intelligence 42 (9), 2082-2095, 2019 | 19 | 2019 |
Attentive one-dimensional heatmap regression for facial landmark detection and tracking S Yin, S Wang, X Chen, E Chen, C Liang Proceedings of the 28th ACM International Conference on Multimedia, 538-546, 2020 | 18 | 2020 |
Multi-task face analyses through adversarial learning S Wang, S Yin, L Hao, G Liang Pattern Recognition 114, 107837, 2021 | 12 | 2021 |
Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning. S Yin, S Wang, G Peng, X Chen, B Pan IJCAI, 1010-1017, 2019 | 10 | 2019 |
Exploiting self-supervised and semi-supervised learning for facial landmark tracking with unlabeled data S Yin, S Wang, X Chen, E Chen Proceedings of the 28th ACM International Conference on Multimedia, 2991-2998, 2020 | 6 | 2020 |
Optimization of GaitSet for gait recognition J Pan, H Sun, Y Wu, S Yin, S Wang Proceedings of the Asian Conference on Computer Vision, Kyoto, Japan 30, 2020 | 4 | 2020 |
Multiple face analyses through adversarial learning S Wang, S Yin, L Hao, G Liang arXiv preprint arXiv:1911.07846, 2019 | 2 | 2019 |
Integrating facial images, speeches and time for empathy prediction S Yin, Y Fu, C Wang, R Wu, H Ding, S Wang 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 2 | 2019 |
面向电力业务对话系统的意图识别数据集 廖胜兰, 殷实, 陈小平, 张波, 欧阳昱, 张衡 计算机应用 40 (9), 2549, 2020 | 1 | 2020 |
KDSL: a knowledge-driven supervised learning framework for word sense disambiguation S Yin, Y Zhou, C Li, S Wang, J Ji, X Chen, R Wang 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 1 | 2019 |
A Framework of SO (3)-equivariant Non-linear Representation Learning and its Application to Electronic-Structure Hamiltonian Prediction S Yin, X Pan, F Wang, F Wu, L He arXiv preprint arXiv:2405.05722, 2024 | | 2024 |
Dynamic facial expression recognition with pseudo‐label guided multi‐modal pre‐training B Yin, S Yin, C Liu, Y Zhang, C Xi, B Yin, Z Ling IET Computer Vision, 2024 | | 2024 |
Harmonizing Covariance and Expressiveness for Deep Hamiltonian Regression in Crystalline Material Research: a Hybrid Cascaded Regression Framework S Yin, X Zhu, T Gao, H Zhang, F Wu, L He arXiv preprint arXiv:2401.00744, 2024 | | 2024 |
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking S Yin, S Huan, D Lian, S Wang, J Hu, T Guo, B Yin, B Yin, C Liu arXiv preprint arXiv:2311.00241, 2023 | | 2023 |
Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder J Hu, H Wu, M Chen, C Liu, J Wu, S Yin, B Yin, B Yin, C Liu, J Du, L Dai Proceedings of the 31st ACM International Conference on Multimedia, 8114-8124, 2023 | | 2023 |
Adversarial Stacking Ensemble for Facial Landmark Tracking L Fang, S Yin, S Wang, Y Chang 2022 26th International Conference on Pattern Recognition (ICPR), 1048-1054, 2022 | | 2022 |
Combining Explicit and Implicit Semantic Similarity Information for Word Embeddings S Yin, Y Li, X Chen Proceedings of the 2018 International Conference on Computing and Artificial …, 2018 | | 2018 |