| Model compression with adversarial robustness: A unified optimization framework S Gui, H Wang, H Yang, C Yu, Z Wang, J Liu Advances in Neural Information Processing Systems 32, 2019 | 173 | 2019 |
| Automatic neural network compression by sparsity-quantization joint learning: A constrained optimization-based approach H Yang, S Gui, Y Zhu, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 90* | 2020 |
| Adaptive hash retrieval with kernel based similarity X Bai, C Yan, H Yang, L Bai, J Zhou, ER Hancock Pattern Recognition 75, 136-148, 2018 | 82 | 2018 |
| Gan slimming: All-in-one gan compression by a unified optimization framework H Wang, S Gui, H Yang, J Liu, Z Wang European Conference on Computer Vision, 54-73, 2020 | 73 | 2020 |
| Energy-constrained compression for deep neural networks via weighted sparse projection and layer input masking H Yang, Y Zhu, J Liu arXiv preprint arXiv:1806.04321, 2018 | 59* | 2018 |
| PyTorchVideo: A deep learning library for video understanding H Fan, T Murrell, H Wang, KV Alwala, Y Li, Y Li, B Xiong, N Ravi, M Li, ... Proceedings of the 29th ACM international conference on multimedia, 3783-3786, 2021 | 53 | 2021 |
| Ecc: Platform-independent energy-constrained deep neural network compression via a bilinear regression model H Yang, Y Zhu, J Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 53 | 2019 |
| Data-dependent hashing based on p-stable distribution X Bai, H Yang, J Zhou, P Ren, J Cheng IEEE Transactions on Image Processing 23 (12), 5033-5046, 2014 | 50 | 2014 |
| A robust AUC maximization framework with simultaneous outlier detection and feature selection for positive-unlabeled classification K Ren, H Yang, Y Zhao, W Chen, M Xue, H Miao, S Huang, J Liu IEEE transactions on neural networks and learning systems 30 (10), 3072-3083, 2018 | 34 | 2018 |
| Online feature selection: A limited-memory substitution algorithm and its asynchronous parallel variation H Yang, R Fujimaki, Y Kusumura, J Liu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 22 | 2016 |
| Adaptive object retrieval with kernel reconstructive hashing H Yang, X Bai, J Zhou, P Ren, Z Zhang, J Cheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 18 | 2014 |
| Autonomic flexibility reflects learning and associated neuroplasticity in old age Q Chen, H Yang, B Rooks, M Anthony, Z Zhang, D Tadin, KL Heffner, ... Human brain mapping 41 (13), 3608-3619, 2020 | 15 | 2020 |
| DepthShrinker: a new compression paradigm towards boosting real-hardware efficiency of compact neural networks Y Fu, H Yang, J Yuan, M Li, C Wan, R Krishnamoorthi, V Chandra, Y Lin International Conference on Machine Learning, 6849-6862, 2022 | 14 | 2022 |
| Learning simple thresholded features with sparse support recovery H Xu, Z Wang, H Yang, D Liu, J Liu IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 970-982, 2019 | 14 | 2019 |
| Omni-sparsity dnn: Fast sparsity optimization for on-device streaming e2e asr via supernet H Yang, Y Shangguan, D Wang, M Li, P Chuang, X Zhang, G Venkatesh, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Marginal policy gradients: A unified family of estimators for bounded action spaces with applications C Eisenach, H Yang, J Liu, H Liu arXiv preprint arXiv:1806.05134, 2018 | 12 | 2018 |
| Maximum margin hashing with supervised information H Yang, X Bai, Y Liu, Y Wang, L Bai, J Zhou, W Tang Multimedia Tools and Applications 75, 3955-3971, 2016 | 10 | 2016 |
| Learning a dual-mode speech recognition model via self-pruning C Liu, Y Shangguan, H Yang, Y Shi, R Krishnamoorthi, O Kalinli 2022 IEEE Spoken Language Technology Workshop (SLT), 273-279, 2023 | 9 | 2023 |
| Low-rank+ sparse tensor compression for neural networks C Hawkins, H Yang, M Li, L Lai, V Chandra arXiv preprint arXiv:2111.01697, 2021 | 8 | 2021 |
| On benefits of selection diversity via bilevel exclusive sparsity H Yang, Y Huang, L Tran, J Liu, S Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 8 | 2016 |
