| Tiny imagenet visual recognition challenge Y Le, X Yang CS 231N 7 (7), 3, 2015 | 1798 | 2015 |
| Tetris: Scalable and efficient neural network acceleration with 3d memory M Gao, J Pu, X Yang, M Horowitz, C Kozyrakis Proceedings of the Twenty-Second International Conference on Architectural …, 2017 | 682 | 2017 |
| Interstellar: Using halide's scheduling language to analyze dnn accelerators X Yang, M Gao, Q Liu, J Setter, J Pu, A Nayak, S Bell, K Cao, H Ha, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 377* | 2020 |
| Tangram: Optimized coarse-grained dataflow for scalable nn accelerators M Gao, X Yang, J Pu, M Horowitz, C Kozyrakis Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 191 | 2019 |
| Programming heterogeneous systems from an image processing DSL J Pu, S Bell, X Yang, J Setter, S Richardson, J Ragan-Kelley, M Horowitz ACM Transactions on Architecture and Code Optimization (TACO) 14 (3), 1-25, 2017 | 164 | 2017 |
| When does contrastive visual representation learning work? E Cole, X Yang, K Wilber, O Mac Aodha, S Belongie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 141 | 2022 |
| Videopoet: A large language model for zero-shot video generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, G Schindler, R Hornung, ... arXiv preprint arXiv:2312.14125, 2023 | 126 | 2023 |
| A systematic approach to blocking convolutional neural networks X Yang, J Pu, BB Rister, N Bhagdikar, S Richardson, S Kvatinsky, ... arXiv preprint arXiv:1606.04209, 2016 | 80 | 2016 |
| Dataseg: Taming a universal multi-dataset multi-task segmentation model X Gu, Y Cui, J Huang, A Rashwan, X Yang, X Zhou, G Ghiasi, W Kuo, ... Advances in Neural Information Processing Systems 36, 2024 | 22 | 2024 |
| Oisin Mac Aodha, and Serge Belongie E Cole, X Yang, K Wilber When does contrastive visual representation learning work, 2022 | 14 | 2022 |
| FPMax: A 106GFLOPS/W at 217GFLOPS/mm2 single-precision FPU, and a 43.7 GFLOPS/W at 74.6 GFLOPS/mm2 double-precision FPU, in 28nm UTBB FDSOI J Pu, S Galal, X Yang, O Shacham, M Horowitz arXiv preprint arXiv:1606.07852, 2016 | 14 | 2016 |
| Videoglue: Video general understanding evaluation of foundation models L Yuan, NB Gundavarapu, L Zhao, H Zhou, Y Cui, L Jiang, X Yang, M Jia, ... arXiv preprint arXiv:2307.03166, 2023 | 12 | 2023 |
| On label granularity and object localization E Cole, K Wilber, G Van Horn, X Yang, M Fornoni, P Perona, S Belongie, ... European Conference on Computer Vision, 604-620, 2022 | 11 | 2022 |
| MDig: Multi-digit Recognition using Convolutional Neural Network on Mobile X Yang, J Pu CS231M, 2015 | 10 | 2015 |
| Polymax: General dense prediction with mask transformer X Yang, L Yuan, K Wilber, A Sharma, X Gu, S Qiao, S Debats, H Wang, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 9 | 2024 |
| Videopoet: A large language model for zero-shot video generation, 2024 D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, G Schindler, R Hornung, ... URL https://arxiv. org/abs/2312.14125 1, 0 | 5 | |
| A systematic framework to analyze the design space of DNN accelerators X Yang Stanford University, 2019 | 4 | 2019 |
| Xuan Yang X Yang | 2 | 2017 |
| SANPO: A Scene Understanding, Accessibility, Navigation, Pathfinding, Obstacle Avoidance Dataset SM Waghmare, K Wilber, D Hawkey, X Yang, M Wilson, S Debats, ... arXiv preprint arXiv:2309.12172, 2023 | 1 | 2023 |
| Interstellar X Yang, M Gao, Q Liu, J Setter, J Pu, A Nayak, S Bell, K Cao, H Ha, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | | 2020 |
