| FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 1277 | 2019 |
| Visual Transformers: Where Do Transformers Really Belong in Vision Models? B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, JE Gonzalez, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 599-609, 2021 | 400* | 2021 |
| FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 264 | 2020 |
| Chamnet: Towards efficient network design through platform-aware model adaptation X Dai, P Zhang, B Wu, H Yin, F Sun, Y Wang, M Dukhan, Y Hu, Y Wu, ... Proceedings of the IEEE Conference on computer vision and pattern …, 2019 | 263 | 2019 |
| NeST: A neural network synthesis tool based on a grow-and-prune paradigm X Dai, H Yin, NK Jha IEEE Transactions on Computers, 2019 | 236 | 2019 |
| FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 129* | 2021 |
| Grow and prune compact, fast, and accurate LSTMs X Dai, H Yin, NK Jha IEEE Transactions on Computers, 2019 | 91 | 2019 |
| Cross-Domain Adaptive Teacher for Object Detection YJ Li, X Dai, CY Ma, YC Liu, K Chen, B Wu, Z He, K Kitani, P Vajda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57* | 2022 |
| Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP F Liang, B Wu, X Dai, K Li, Y Zhao, H Zhang, P Zhang, P Vajda, ... arXiv preprint arXiv:2210.04150, 2022 | 53 | 2022 |
| Pinme: Tracking a smartphone user around the world A Mosenia, X Dai, P Mittal, NK Jha IEEE Transactions on Multi-Scale Computing Systems 4 (3), 420-435, 2017 | 46 | 2017 |
| Token Merging: Your ViT But Faster D Bolya, CY Fu, X Dai, P Zhang, C Feichtenhofer, J Hoffman arXiv preprint arXiv:2210.09461, 2022 | 45 | 2022 |
| DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks H Yin, B Mukadam, X Dai, NK Jha IEEE Transactions on Emerging Topics in Computing, 2019 | 42 | 2019 |
| Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks X Dai, H Yin, NK Jha arXiv preprint arXiv:1905.10952, 2019 | 33 | 2019 |
| STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods S Hassantabar, X Dai, NK Jha arXiv preprint arXiv:1912.05831, 2019 | 31 | 2019 |
| Fully Dynamic Inference with Deep Neural Networks W Xia, H Yin, X Dai, NK Jha arXiv preprint arXiv:2007.15151, 2020 | 25 | 2020 |
| Rethinking the self-attention in vision transformers K Kim, B Wu, X Dai, P Zhang, Z Yan, P Vajda, SJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 22 | 2021 |
| FP-NAS: Fast Probabilistic Neural Architecture Search Z Yan, X Dai, P Zhang, Y Tian, B Wu, M Feiszli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 19 | 2021 |
| Fbnetv5: Neural architecture search for multiple tasks in one run B Wu, C Li, H Zhang, X Dai, P Zhang, M Yu, J Wang, Y Lin, P Vajda arXiv preprint arXiv:2111.10007, 2021 | 17 | 2021 |
| Hydra attention: Efficient attention with many heads D Bolya, CY Fu, X Dai, P Zhang, J Hoffman arXiv preprint arXiv:2209.07484, 2022 | 15 | 2022 |
| Erbium fiber laser-based direct frequency comb spectroscopy of Rb two-photon transitions J Wu, D Hou, Z Qin, X Dai, Z Zhang, J Zhao Optics letters 38 (23), 5028-5031, 2013 | 14 | 2013 |
Peizhao ZhangResearch Scientist, Meta Reality LabsVerified email at fb.com
