| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| 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 | 193 | 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 | 117* | 2020 |
| 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 | 107 | 2020 |
| 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 | 92 | 2021 |
| 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 | 88 | 2018 |
| 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 | 64* | 2018 |
| 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 | 57 | 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 | 54 | 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 | 45 | 2018 |
| 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 | 31 | 2022 |
| 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 | 26 | 2020 |
| 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 | 24 | 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 | 19 | 2014 |
| 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 | 16 | 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 | 15 | 2022 |
| Copriv: Network/protocol co-optimization for communication-efficient private inference W Zeng, M Li, H Yang, W Lu, R Wang, R Huang Advances in Neural Information Processing Systems 36, 78906-78925, 2023 | 14 | 2023 |
| 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 | 14 | 2018 |
| 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 | 12 | 2023 |
| 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 (7), 3955-3971, 2016 | 10 | 2016 |
