| 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 | 829 | 2019 |
| Dual path networks Y Chen, J Li, H Xiao, X Jin, S Yan, J Feng NIPS, 4467-4475, 2017 | 703 | 2017 |
| Deep learning with s-shaped rectified linear activation units X Jin, C Xu, J Feng, Y Wei, J Xiong, S Yan AAAI, 2016, 2016 | 208 | 2016 |
| Deep self-taught learning for weakly supervised object localization Z Jie, Y Wei, X Jin, J Feng, W Liu CVPR, 2017, 1377-1385, 2017 | 183 | 2017 |
| Tree-structured reinforcement learning for sequential object localization Z Jie, X Liang, J Feng, X Jin, W Lu, S Yan NIPS, 2016, 127-135, 2016 | 130 | 2016 |
| Deepvit: Towards deeper vision transformer D Zhou, B Kang, X Jin, L Yang, X Lian, Z Jiang, Q Hou, J Feng arXiv preprint arXiv:2103.11886, 2021 | 104 | 2021 |
| 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, ... ICCV, 2017, 5580-5588, 2017 | 101 | 2017 |
| Atomnas: Fine-grained end-to-end neural architecture search J Mei, Y Li, X Lian, X Jin, L Yang, A Yuille, J Yang ICLR 2020, 2019 | 76 | 2019 |
| Training skinny deep neural networks with iterative hard thresholding methods X Jin, X Yuan, J Feng, S Yan arXiv preprint arXiv:1607.05423, 2016 | 66 | 2016 |
| 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 NIPS, 2017, 6915-6924, 2017 | 61 | 2017 |
| Training group orthogonal neural networks with privileged information Y Chen, X Jin, J Feng, S Yan arXiv preprint arXiv:1701.06772, 2017 | 39 | 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 CVPR, 10297-10306, 2020 | 36 | 2020 |
| Multi-path feedback recurrent neural network for scene parsing X Jin, Y Chen, J Feng, Z Jie, S Yan AAAI, 2017, 2016 | 35 | 2016 |
| All tokens matter: Token labeling for training better vision transformers ZH Jiang, Q Hou, L Yuan, D Zhou, Y Shi, X Jin, A Wang, J Feng Advances in Neural Information Processing Systems 34, 2021 | 30 | 2021 |
| Token labeling: Training a 85.4% top-1 accuracy vision transformer with 56m parameters on imagenet Z Jiang, Q Hou, L Yuan, D Zhou, X Jin, A Wang, J Feng arXiv e-prints, arXiv: 2104.10858, 2021 | 30 | 2021 |
| 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 | 30 | 2018 |
| Refiner: Refining self-attention for vision transformers D Zhou, Y Shi, B Kang, W Yu, Z Jiang, Y Li, X Jin, Q Hou, J Feng arXiv preprint arXiv:2106.03714, 2021 | 21 | 2021 |
| 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 | 21 | 2019 |
| Online robust low-rank tensor modeling for streaming data analysis P Li, J Feng, X Jin, L Zhang, X Xu, S Yan IEEE TNNLS, 2018 30 (4), 1061-1075, 2018 | 20 | 2018 |
| Collaborative layer-wise discriminative learning in deep neural networks X Jin, Y Chen, J Dong, J Feng, S Yan ECCV, 2016, 733-749, 2016 | 17 | 2016 |
Jiashi FengByteDance Inc.Verified email at bytedance.com
