| 2025 | ICML | TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction. | Shi Yin, Xinyang Pan, Fengyan Wang, Lixin He |
| 2024 | IJCAI | 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking. | Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu |
| 2024 | Interspeech | Serialized Output Training by Learned Dominance. | Ying Shi, Lantian Li, Shi Yin, Dong Wang, Jiqing Han |
| 2024 | Interspeech | A Comprehensive Investigation on Speaker Augmentation for Speaker Recognition. | Zhenyu Zhou, Shibiao Xu, Shi Yin, Lantian Li, Dong Wang |
| 2023 | CVPR | NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces. | Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin |
| 2023 | Interspeech | Spot Keywords From Very Noisy and Mixed Speech. | Ying Shi, Dong Wang, Lantian Li, Jiqing Han, Shi Yin |
| 2022 | ICPR | Adversarial Stacking Ensemble for Facial Landmark Tracking. | Lin Fang, Shi Yin, Shangfei Wang, Yanan Chang |
| 2020 | AAIM | The Early-Warning Model of Evaluation and Prevention for Venous Thromboembolism in Gynecological Tumor Surgical Patients Based on WSOM. | Shi Yin, Jian Chang |
| 2020 | HCI | A Study on the Influence of E-commerce Live Streaming on Consumer's Purchase Intentions in Mobile Internet. | Shi Yin |
| 2019 | IJCAI | Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning. | Shi Yin, Shangfei Wang, Guozhu Peng, Xiaoping Chen, Bowen Pan |
| 2019 | IJCNN | KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation. | Shi Yin, Yi Zhou, Chenguang Li, Shangfei Wang, Jianmin Ji, Xiaoping Chen, Ruili Wang |
| 2019 | MICCAI | Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. | Hangfan Liu, Hongming Li, Yuemeng Li, Shi Yin, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan |
| 2019 | MICCAI | Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound Imaging. | Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan |
| 2015 | Interspeech | Learning speech rate in speech recognition. | Xiangyu Zeng, Shi Yin, Dong Wang |
| 2011 | ICMLC | The application of BP neural network in Coal analysis. | Wan-Ye Yao, Ling Su, Shi Yin |
| 1997 | ICIP | Corner Characterization by Statistical Analysis of Gradient-Direction. | Shi Yin, Jens G. Balchen |