| Deep reinforcement learning for building HVAC control T Wei, Y Wang, Q Zhu Proceedings of the 54th annual design automation conference 2017, 1-6, 2017 | 571 | 2017 |
| A systematic dnn weight pruning framework using alternating direction method of multipliers T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang Proceedings of the European conference on computer vision (ECCV), 184-199, 2018 | 563 | 2018 |
| Experience-driven networking: A deep reinforcement learning based approach Z Xu, J Tang, J Meng, W Zhang, Y Wang, CH Liu, D Yang IEEE INFOCOM 2018-IEEE conference on computer communications, 1871-1879, 2018 | 487 | 2018 |
| Topology attack and defense for graph neural networks: An optimization perspective K Xu, H Chen, S Liu, PY Chen, TW Weng, M Hong, X Lin arXiv preprint arXiv:1906.04214, 2019 | 468 | 2019 |
| Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach J Wang, J Tang, Z Xu, Y Wang, G Xue, X Zhang, D Yang IEEE INFOCOM 2017-IEEE conference on computer communications, 1-9, 2017 | 455 | 2017 |
| Multi-channel attention selection gan with cascaded semantic guidance for cross-view image translation H Tang, D Xu, N Sebe, Y Wang, JJ Corso, Y Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 430 | 2019 |
| Adversarial t-shirt! evading person detectors in a physical world K Xu, G Zhang, S Liu, Q Fan, M Sun, H Chen, PY Chen, Y Wang, X Lin Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 415 | 2020 |
| Efficientformer: Vision transformers at mobilenet speed Y Li, G Yuan, Y Wen, J Hu, G Evangelidis, S Tulyakov, Y Wang, J Ren Advances in Neural Information Processing Systems 35, 12934-12949, 2022 | 382 | 2022 |
| CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 346 | 2017 |
| A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang 2017 IEEE 37th international conference on distributed computing systems …, 2017 | 346 | 2017 |
| A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs Z Xu, Y Wang, J Tang, J Wang, MC Gursoy 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 323 | 2017 |
| Feature distillation: Dnn-oriented jpeg compression against adversarial examples Z Liu, Q Liu, T Liu, N Xu, X Lin, Y Wang, W Wen 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 319 | 2019 |
| Patdnn: Achieving real-time dnn execution on mobile devices with pattern-based weight pruning W Niu, X Ma, S Lin, S Wang, X Qian, X Lin, Y Wang, B Ren Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 298 | 2020 |
| Task scheduling with dynamic voltage and frequency scaling for energy minimization in the mobile cloud computing environment X Lin, Y Wang, Q Xie, M Pedram IEEE Transactions on Services Computing 8 (2), 175-186, 2014 | 287 | 2014 |
| Sc-dcnn: Highly-scalable deep convolutional neural network using stochastic computing A Ren, Z Li, C Ding, Q Qiu, Y Wang, J Li, X Qian, B Yuan ACM Sigplan Notices 52 (4), 405-418, 2017 | 271 | 2017 |
| C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs S Wang, Z Li, C Ding, B Yuan, Q Qiu, Y Wang, Y Liang Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 256 | 2018 |
| Autocompress: An automatic dnn structured pruning framework for ultra-high compression rates N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4876-4883, 2020 | 239 | 2020 |
| Admm-nn: An algorithm-hardware co-design framework of dnns using alternating direction methods of multipliers A Ren, T Zhang, S Ye, J Li, W Xu, X Qian, X Lin, Y Wang Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 222 | 2019 |
| Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile devices X Ma, FM Guo, W Niu, X Lin, J Tang, K Ma, B Ren, Y Wang Proceedings of the AAAI conference on artificial intelligence 34 (04), 5117-5124, 2020 | 212 | 2020 |
| Spvit: Enabling faster vision transformers via latency-aware soft token pruning Z Kong, P Dong, X Ma, X Meng, W Niu, M Sun, X Shen, G Yuan, B Ren, ... European conference on computer vision, 620-640, 2022 | 197 | 2022 |
Xue LinNortheastern University在 northeastern.edu 的电子邮件经过验证