| Hardness-aware deep metric learning W Zheng, Z Chen, J Lu, J Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 248 | 2019 |
| Dota: detect and omit weak attentions for scalable transformer acceleration Z Qu, L Liu, F Tu, Z Chen, Y Ding, Y Xie Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 144 | 2022 |
| Dynamic sparse attention for scalable transformer acceleration L Liu, Z Qu, Z Chen, F Tu, Y Ding, Y Xie IEEE Transactions on Computers 71 (12), 3165-3178, 2022 | 95* | 2022 |
| Characterizing and understanding GCNs on GPU M Yan, Z Chen, L Deng, X Ye, Z Zhang, D Fan, Y Xie IEEE Computer Architecture Letters 19 (1), 22-25, 2020 | 89 | 2020 |
| Efficient Tensor Core-based GPU Kernels for Structured Sparsity under Reduced Precision Z Chen, Z Qu, L Liu, Y Ding, Y Xie 2021 Proceedings of the International Conference for High Performance …, 2021 | 60 | 2021 |
| H2learn: High-efficiency learning accelerator for high-accuracy spiking neural networks L Liang, Z Qu, Z Chen, F Tu, Y Wu, L Deng, G Li, P Li, Y Xie IEEE transactions on computer-aided design of integrated circuits and …, 2021 | 46 | 2021 |
| A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks Z Chen, L Deng, B Wang, G Li, Y Xie IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 43 | 2020 |
| Dynamic N: M Fine-grained Structured Sparse Attention Mechanism Z Chen, Z Qu, Y Quan, L Liu, Y Ding, Y Xie PPoPP '23: Proceedings of the 28th ACM SIGPLAN Symposium on Principles and …, 2022 | 41 | 2022 |
| fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU Z Chen, M Yan, M Zhu, L Deng, G Li, S Li, Y Xie 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020 | 33 | 2020 |
| Effective and efficient batch normalization using a few uncorrelated data for statistics estimation Z Chen, L Deng, G Li, J Sun, X Hu, L Liang, Y Ding, Y Xie IEEE Transactions on Neural Networks and Learning Systems 32 (1), 348-362, 2020 | 30 | 2020 |
| Boosting Deep Neural Network Efficiency with Dual-Module Inference L Liu, L Deng, Z Chen, Y Wang, S Li, J Zhang, Y Yang, Z Gu, Y Ding, ... ICML 2020 - Proceedings of the 37th International Conference on Machine Learning, 2020 | 14 | 2020 |
| Evt: Accelerating deep learning training with epilogue visitor tree Z Chen, A Kerr, R Cai, J Kosaian, H Wu, Y Ding, Y Xie Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 10 | 2024 |
| Large-scale self-normalizing neural networks Z Chen, W Zhao, L Deng, Y Ding, Q Wen, G Li, Y Xie Journal of Automation and Intelligence 3 (2), 101-110, 2024 | 5 | 2024 |
| Accelerating spatiotemporal supervised training of large-scale spiking neural networks on gpu L Liang, Z Chen, L Deng, F Tu, G Li, Y Xie 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 658-663, 2022 | 4 | 2022 |
| Faith: An Efficient Framework for Transformer Verification on {GPUs} B Feng, T Tang, Y Wang, Z Chen, Z Wang, S Yang, Y Xie, Y Ding 2022 USENIX Annual Technical Conference (USENIX ATC 22), 167-182, 2022 | 1 | 2022 |
Yuan XieChair Professor of Hong Kong University of Science and Technology (HKUST)Verified email at ust.hk
