| Ternary Weight Networks F Li, B Zhang, B Liu The 1st NIPS Workshop on Efficient Methods for Deep Neural Networks, 2016 | 1316 | 2016 |
| Discriminatively boosted image clustering with fully convolutional auto-encoders F Li, H Qiao, B Zhang Pattern Recognition 83, 161-173, 2018 | 291 | 2018 |
| Ternary weight networks L Fengfu, Z Bo, L Bin NIPS Workshop on EMDNN 118, 119, 2016 | 40* | 2016 |
| Biologically inspired model for visual cognition achieving unsupervised episodic and semantic feature learning H Qiao, Y Li, F Li, W Wu IEEE Transactions on Cybernetics 46 (10), 2335 - 2347, 2015 | 39 | 2015 |
| Biologically inspired visual model with preliminary cognition and active attention adjustment H Qiao, X Xi, Y Li, W Wu, F Li IEEE transactions on cybernetics 45 (11), 2612-2624, 2014 | 33 | 2014 |
| Enhanced HMAX model with feedforward feature learning for multiclass categorization Y Li, W Wu, B Zhang, F Li Frontiers in computational neuroscience 9, 123, 2015 | 28 | 2015 |
| A fast and compact saliency score regression network based on fully convolutional network X Xi, Y Luo, F Li, P Wang, H Qiao arXiv preprint arXiv:1702.00615, 2017 | 10 | 2017 |
| Effective Deterministic Initialization for k-Means-Like Methods via Local Density Peaks Searching F Li, H Qiao, B Zhang arXiv preprint arXiv:1611.06777, 2016 | 3 | 2016 |
| A New Manifold Distance Measure for Visual Object Categorization F Li, X Huang, H Qiao, B Zhang 12th World Congress on Intelligent Control and Automation (WCICA), 2232 - 2236, 2016 | 3 | 2016 |
| Context and type enhanced representation learning for relation extraction E Yu, Y Jia, S Wang, F Li, Y Chang 2020 IEEE International Conference on Knowledge Graph (ICKG), 329-335, 2020 | 1 | 2020 |
