| Abd-net: Attentive but diverse person re-identification T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 438 | 2019 |
| FasterSeg: Searching for Faster Real-time Semantic Segmentation W Chen, X Gong, X Liu, Q Zhang, Y Li, Z Wang International Conference on Learning Representation (ICLR), 2019 | 145 | 2019 |
| Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective W Chen, X Gong, Z Wang International Conference on Learning Representation (ICLR), 2021 | 139 | 2021 |
| Collaborative global-local networks for memory-efficient segmentation of ultra-high resolution images W Chen, Z Jiang, Z Wang, K Cui, X Qian IEEE Computer Vision and Pattern Recognition (CVPR), 2019 | 104 | 2019 |
| Learning to Optimize: A Primer and A Benchmark T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin JMLR, 2021 | 79 | 2021 |
| AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks Y Fu, W Chen, H Wang, H Li, Y Lin, Z Wang International Conference on Machine Learning (ICML), 2020 | 76 | 2020 |
| In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation Y Yuan, W Chen, Y Yang, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 70 | 2019 |
| Automated Synthetic-to-Real Generalization W Chen, Z Yu, Z Wang, A Anandkumar International Conference on Machine Learning (ICML), 2020 | 61 | 2020 |
| Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training X Chen, W Chen, T Chen, Y Yuan, C Gong, K Chen, Z Wang International Conference on Machine Learning (ICML), 2020 | 59 | 2020 |
| Contrastive syn-to-real generalization W Chen, Z Yu, SD Mello, S Liu, JM Alvarez, Z Wang, A Anandkumar ICLR, 2021 | 38 | 2021 |
| Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification Y Yuan, W Chen, T Chen, Y Yang, Z Ren, Z Wang, G Hua IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 | 30 | 2019 |
| On the predictability of the orientation of protein domains joined by a spanning alpha-helical linker YT Lai, L Jiang, W Chen, TO Yeates Protein Engineering, Design and Selection 28 (11), 491-500, 2015 | 24 | 2015 |
| A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation W Chen, X Du, F Yang, L Beyer, X Zhai, TY Lin, H Chen, J Li, X Song, ... European Conference on Computer Vision, 711-727, 2022 | 21* | 2022 |
| Autopose: Searching multi-scale branch aggregation for pose estimation X Gong, W Chen, Y Jiang, Y Yuan, X Liu, Q Zhang, Y Li, Z Wang arXiv preprint arXiv:2008.07018, 2020 | 16 | 2020 |
| Auto-scaling Vision Transformers without Training W Chen, W Huang, X Du, X Song, Z Wang, D Zhou ICLR 2022, 2021 | 12 | 2021 |
| Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining L Miao, X Luo, T Chen, W Chen, D Liu, Z Wang ICLR 2022, 2021 | 8 | 2021 |
| Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity X Gong, W Chen, T Chen, Z Wang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 3 | 2022 |
| Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices Y Zhang, A Karkal Kamath, Q Wu, Z Fan, W Chen, Z Wang, S Chang, ... ASP-DAC 2023, 2022 | 2 | 2022 |
| Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis W Chen, W Huang, X Gong, B Hanin, Z Wang Neurips 2022, 2022 | 1 | 2022 |
| Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics W Chen, X Gong, Y Wei, H Shi, Z Yan, Y Yang, Z Wang arXiv preprint arXiv:2108.11939, 2021 | 1 | 2021 |
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
