Multinomial random forest J Bai, Y Li, J Li, X Yang, Y Jiang, ST Xia Pattern Recognition 122, 108331, 2022 | 77 | 2022 |
Unsupervised domain adaptation for ECG arrhythmia classification M Chen, G Wang, Z Ding, J Li, H Yang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 38 | 2020 |
Unsupervised surface anomaly detection with diffusion probabilistic model X Zhang, N Li, J Li, T Dai, Y Jiang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 36 | 2023 |
Tnt: An interpretable tree-network-tree learning framework using knowledge distillation J Li, Y Li, X Xiang, ST Xia, S Dong, Y Cai Entropy 22 (11), 1203, 2020 | 27 | 2020 |
Vega: towards an end-to-end configurable automl pipeline B Wang, H Xu, J Zhang, C Chen, X Fang, Y Xu, N Kang, L Hong, C Jiang, ... arXiv preprint arXiv:2011.01507, 2020 | 15 | 2020 |
Rectified decision trees: Towards interpretability, compression and empirical soundness J Bai, Y Li, J Li, Y Jiang, S Xia arXiv preprint arXiv:1903.05965, 2019 | 12 | 2019 |
Cyclic annealing training convolutional neural networks for image classification with noisy labels J Li, T Dai, Q Tang, Y Xing, ST Xia 2018 25th IEEE International Conference on Image Processing (ICIP), 21-25, 2018 | 11 | 2018 |
Multi-level recognition on falls from activities of daily living J Li, ST Xia, Q Ding Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 9 | 2020 |
Rectified decision trees: exploring the landscape of interpretable and effective machine learning Y Li, J Bai, J Li, X Yang, Y Jiang, ST Xia arXiv preprint arXiv:2008.09413, 2020 | 8 | 2020 |
Learned distributed image compression with multi-scale patch matching in feature domain Y Huang, B Chen, S Qin, J Li, Y Wang, T Dai, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4322-4329, 2023 | 7 | 2023 |
Portrait-aware artistic style transfer Y Xing, J Li, T Dai, Q Tang, L Niu, ST Xia 2018 25th IEEE International Conference on Image Processing (ICIP), 2117-2121, 2018 | 7 | 2018 |
Multitask deep learning for edge intelligence video surveillance system J Li, Z Zheng, Y Li, R Ma, ST Xia 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020 | 5 | 2020 |
Rt-adi: Fast real-time video representation for multi-view human fall detection Q Ding, F Yang, J Li, S Wu, B Zhao, Z Wang, ST Xia 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 13-18, 2019 | 5 | 2019 |
Sure-based dual domain image denoising Z Xu, T Dai, L Niu, J Li, Q Tang, ST Xia 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
Attention on attention sparse dense convolutional network for financial signal processing T Zhu, J Li, X Liu, Y Jiang, ST Xia ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |
Unsupervised anomaly detection with local-sensitive VQVAE and global-sensitive transformers M Wang, J Li, Z Li, C Luo, B Chen, ST Xia, Z Wang 2023 IEEE International Conference on Image Processing (ICIP), 1080-1084, 2023 | 3 | 2023 |
CAGEN: Controllable Anomaly Generator using Diffusion Model B Jiang, Y Xie, J Li, N Li, Y Jiang, ST Xia ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
Making large ensemble of convolutional neural networks via bootstrap re-sampling J Li, X Xiang, T Dai, ST Xia 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 2 | 2019 |
Test-Time Training-Free Domain Adaptation Y Feng, W He, K You, B Liu, Z Zhang, Y Wang, M Li, Y Lou, J Li, G Li, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
Siad: Self-supervised image anomaly detection system J Li, C Lan, X Zhang, B Jiang, Y Xie, N Li, Y Liu, Y Li, E Huo, B Chen arXiv preprint arXiv:2208.04173, 2022 | 1 | 2022 |