| Evolving deep neural networks R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ... Artificial Intelligence in the Age of Neural Networks and Brain Computing …, 2019 | 464 | 2019 |
| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng Advances in neural information processing systems, 4467-4475, 2017 | 404 | 2017 |
| Deep learning with s-shaped rectified linear activation units X Jin, C Xu, J Feng, Y Wei, J Xiong, S Yan arXiv preprint arXiv:1512.07030, 2015 | 148 | 2015 |
| Deep self-taught learning for weakly supervised object localization Z Jie, Y Wei, X Jin, J Feng, W Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 104 | 2017 |
| Tree-structured reinforcement learning for sequential object localization Z Jie, X Liang, J Feng, X Jin, W Lu, S Yan Advances in Neural Information Processing Systems, 127-135, 2016 | 79 | 2016 |
| Video scene parsing with predictive feature learning X Jin, X Li, H Xiao, X Shen, Z Lin, J Yang, Y Chen, J Dong, L Liu, Z Jie, ... Proceedings of the IEEE International Conference on Computer Vision, 5580-5588, 2017 | 65 | 2017 |
| Predicting scene parsing and motion dynamics in the future X Jin, H Xiao, X Shen, J Yang, Z Lin, Y Chen, Z Jie, J Feng, S Yan Advances in Neural Information Processing Systems, 6915-6924, 2017 | 42 | 2017 |
| Training skinny deep neural networks with iterative hard thresholding methods X Jin, X Yuan, J Feng, S Yan arXiv preprint arXiv:1607.05423, 2016 | 40 | 2016 |
| Training group orthogonal neural networks with privileged information Y Chen, X Jin, J Feng, S Yan arXiv preprint arXiv:1701.06772, 2017 | 28 | 2017 |
| Multi-path feedback recurrent neural network for scene parsing X Jin, Y Chen, J Feng, Z Jie, S Yan arXiv preprint arXiv:1608.07706, 2016 | 27 | 2016 |
| Atomnas: Fine-grained end-to-end neural architecture search J Mei, Y Li, X Lian, X Jin, L Yang, A Yuille, J Yang arXiv preprint arXiv:1912.09640, 2019 | 17 | 2019 |
| Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. Y Chen, X Jin, B Kang, J Feng, S Yan IJCAI, 635-641, 2018 | 16 | 2018 |
| Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion XJ Jin, QF Wang, X Hou, CL Liu Proceeding ACPR '13 Proceedings of the 2013 2nd IAPR Asian Conference on …, 2013 | 15 | 2013 |
| Collaborative layer-wise discriminative learning in deep neural networks X Jin, Y Chen, J Dong, J Feng, S Yan European Conference on Computer Vision, 733-749, 2016 | 13 | 2016 |
| Online robust low-rank tensor modeling for streaming data analysis P Li, J Feng, X Jin, L Zhang, X Xu, S Yan IEEE transactions on neural networks and learning systems 30 (4), 1061-1075, 2018 | 8 | 2018 |
| WSNet: Compact and Efficient Networks Through Weight Sampling X Jin, Y Yang, N Xu, J Yang, N Jojic, J Feng, S Yan International Conference on Machine Learning, 2018, 2017 | 6* | 2017 |
| Neural Architecture Search for Lightweight Non-Local Networks Y Li, X Jin, J Mei, X Lian, L Yang, C Xie, Q Yu, Y Zhou, S Bai, AL Yuille Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
| Online Robust Low-Rank Tensor Learning. P Li, J Feng, X Jin, L Zhang, X Xu, S Yan IJCAI, 2180-2186, 2017 | 4 | 2017 |
| Rc-darts: Resource constrained differentiable architecture search X Jin, J Wang, J Slocum, MH Yang, S Dai, S Yan, J Feng arXiv preprint arXiv:1912.12814, 2019 | 3 | 2019 |
| Neural Epitome Search for Architecture-Agnostic Network Compression D Zhou, X Jin, Q Hou, K Wang, J Yang, J Feng arXiv preprint arXiv:1907.05642, 2019 | 1 | 2019 |
Jiashi FengNational University of SingaporeVerified email at nus.edu.sg
