| Mest: Accurate and fast memory-economic sparse training framework on the edge G Yuan, X Ma, W Niu, Z Li, Z Kong, N Liu, Y Gong, Z Zhan, C He, Q Jin, ... Advances in Neural Information Processing Systems 34, 20838-20850, 2021 | 111 | 2021 |
| Radio frequency fingerprinting on the edge T Jian, Y Gong, Z Zhan, R Shi, N Soltani, Z Wang, J Dy, K Chowdhury, ... IEEE Transactions on Mobile Computing 21 (11), 4078-4093, 2021 | 71 | 2021 |
| Sparcl: Sparse continual learning on the edge Z Zhan*, Z Wang*, Y Gong, G Yuan, W Niu, T Jian, B Ren, S Ioannidis, ... Advances in Neural Information Processing Systems 35, 20366-20380, 2022 | 69 | 2022 |
| Achieving on-mobile real-time super-resolution with neural architecture and pruning search Z Zhan, Y Gong, P Zhao, G Yuan, W Niu, Y Wu, T Zhang, M Jayaweera, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 57 | 2021 |
| Npas: A compiler-aware framework of unified network pruning and architecture search for beyond real-time mobile acceleration Z Li, G Yuan, W Niu, P Zhao, Y Li, Y Cai, X Shen, Z Zhan, Z Kong, Q Jin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42* | 2021 |
| A unified dnn weight pruning framework using reweighted optimization methods T Zhang, X Ma, Z Zhan, S Zhou, C Ding, M Fardad, Y Wang 2021 58th ACM/IEEE Design Automation Conference (DAC), 493-498, 2021 | 37* | 2021 |
| Compiler-aware neural architecture search for on-mobile real-time super-resolution Y Wu, Y Gong, P Zhao, Y Li, Z Zhan, W Niu, H Tang, M Qin, B Ren, ... European Conference on Computer Vision, 92-111, 2022 | 31 | 2022 |
| A privacy-preserving-oriented dnn pruning and mobile acceleration framework Y Gong, Z Zhan, Z Li, W Niu, X Ma, W Wang, B Ren, C Ding, X Lin, X Xu, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 119-124, 2020 | 29 | 2020 |
| Blcr: Towards real-time dnn execution with block-based reweighted pruning X Ma, G Yuan, Z Li, Y Gong, T Zhang, W Niu, Z Zhan, P Zhao, N Liu, ... 2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-8, 2022 | 25* | 2022 |
| SS-Auto: A single-shot, automatic structured weight pruning framework of DNNs with ultra-high efficiency Z Li, Y Gong, X Ma, S Liu, M Sun, Z Zhan, Z Kong, G Yuan, Y Wang arXiv preprint arXiv:2001.08839, 2020 | 23* | 2020 |
| Universal approximation property and equivalence of stochastic computing-based neural networks and binary neural networks Y Wang, Z Zhan, L Zhao, J Tang, S Wang, J Li, B Yuan, W Wen, X Lin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5369-5376, 2019 | 16 | 2019 |
| Diffclass: Diffusion-based class incremental learning Z Meng, J Zhang, C Yang, Z Zhan, P Zhao, Y Wang European Conference on Computer Vision, 142-159, 2024 | 15 | 2024 |
| Exploring Token Pruning in Vision State Space Models Z Zhan, Z Kong, Y Gong, Y Wu, Z Meng, H Zheng, X Shen, S Ioannidis, ... NeurIPS 2024, 2024 | 15* | 2024 |
| DualHSIC: HSIC-bottleneck and alignment for continual learning Z Wang, Z Zhan, Y Gong, Y Shao, S Ioannidis, Y Wang, J Dy International Conference on Machine Learning, 36578-36592, 2023 | 13 | 2023 |
| Automatic mapping of the best-suited dnn pruning schemes for real-time mobile acceleration Y Gong, G Yuan, Z Zhan, W Niu, Z Li, P Zhao, Y Cai, S Liu, B Ren, X Lin, ... ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (5 …, 2022 | 12 | 2022 |
| Towards real-time DNN inference on mobile platforms with model pruning and compiler optimization W Niu, P Zhao, Z Zhan, X Lin, Y Wang, B Ren IJCAI 2020 Demo Track, 2020 | 12 | 2020 |
| Chic experience-driven scheduling in machine learning clusters Y Gong, B Li, B Liang, Z Zhan Proceedings of the International Symposium on Quality of Service, 1-10, 2019 | 11 | 2019 |
| All-in-one: A highly representative dnn pruning framework for edge devices with dynamic power management Y Gong, Z Zhan, P Zhao, Y Wu, C Wu, C Ding, W Jiang, M Qin, Y Wang Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022 | 9 | 2022 |
| Rethinking Token Reduction for State Space Models Z Zhan, Y Wu, Z Kong, C Yang, Y Gong, X Shen, X Lin, P Zhao, Y Wang EMNLP 2024, 2024 | 7* | 2024 |
| Search for efficient large language models X Shen, P Zhao, Y Gong, Z Kong, Z Zhan, Y Wu, M Lin, C Wu, X Lin, ... arXiv preprint arXiv:2409.17372, 2024 | 6 | 2024 |
