| Robust pre-training by adversarial contrastive learning Z Jiang, T Chen, T Chen, Z Wang Advances in Neural Information Processing Systems 33, 16199-16210, 2020 | 197 | 2020 |
| Collaborative global-local networks for memory-efficient segmentation of ultra-high resolution images W Chen, Z Jiang, Z Wang, K Cui, X Qian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 152 | 2019 |
| E2-train: Training state-of-the-art cnns with over 80% energy savings Y Wang, Z Jiang, X Chen, P Xu, Y Zhao, Y Lin, Z Wang Advances in Neural Information Processing Systems, 5138-5150, 2019 | 86 | 2019 |
| E2-train: Training state-of-the-art cnns with over 80% energy savings Y Wang, Z Jiang, X Chen, P Xu, Y Zhao, Y Lin, Z Wang Advances in Neural Information Processing Systems, 5138-5150, 2019 | 86 | 2019 |
| Self-damaging contrastive learning Z Jiang, T Chen, BJ Mortazavi, Z Wang International Conference on Machine Learning, 4927-4939, 2021 | 56 | 2021 |
| M³vit: Mixture-of-experts vision transformer for efficient multi-task learning with model-accelerator co-design Z Fan, R Sarkar, Z Jiang, T Chen, K Zou, Y Cheng, C Hao, Z Wang Advances in Neural Information Processing Systems 35, 28441-28457, 2022 | 33 | 2022 |
| Improving contrastive learning on imbalanced data via open-world sampling Z Jiang, T Chen, T Chen, Z Wang Advances in Neural Information Processing Systems 34, 5997-6009, 2021 | 32* | 2021 |
| Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study G Holste, S Wang, Z Jiang, TC Shen, G Shih, RM Summers, Y Peng, ... MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 22-32, 2022 | 27 | 2022 |
| A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images Z Jiang, R Ardywibowo, A Samereh, HL Evans, WB Lober, X Chang, ... Surgical infections 20 (7), 555-565, 2019 | 25 | 2019 |
| Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations Z Jiang, B Liu, S Schulter, Z Wang, M Chandraker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 18 | 2020 |
| Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Better Representations Z Jiang, Y Chen, M Liu, D Chen, X Dai, L Yuan, Z Liu, Z Wang International Conference on Learning Representations, 0 | 10* | |
| ArcticNet: A Deep Learning Solution to Classify the Arctic Area Z Jiang, K Von Ness, J Loisel, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 6* | 2019 |
| DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment Z Jiang, T Chen, X Chen, Y Cheng, L Zhou, L Yuan, A Awadallah, Z Wang European Conference on Computer Vision, 239-256, 2022 | 5 | 2022 |
| Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation Z Jiang, X Chen, X Huang, X Du, D Zhou, Z Wang Advances in Neural Information Processing Systems, 0 | 5* | |
| Sharper analysis of sparsely activated wide neural networks with trainable biases H Yang, Z Jiang, R Zhang, Z Wang, Y Liang arXiv preprint arXiv:2301.00327, 2023 | 4* | 2023 |
| How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? G Holste, Z Jiang, A Jaiswal, M Hanna, S Minkowitz, AC Legasto, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling H Wang, Z Jiang, Y Han, Z Wang arXiv preprint arXiv:2304.02806, 2023 | 3 | 2023 |
| Machine learning applications to seismic structural interpretation: Philosophy, progress, pitfalls, and potential KL Gunderson, Z Zhang, B Payne, S Cheng, Z Jiang, A Wang AAPG Bulletin 106 (11), 2187-2202, 2022 | 3 | 2022 |
| CE-PeopleSeg: Real-Time People Segmentation With 10% CPU Usage for Video Conference Z Jiang, Z He, X Huang, Z Yang, P Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 2 | 2021 |
| Systems and methods for identifying subsurface features as a function of position in a subsurface volume of interest S Cheng, Z Zhang, KL Gunderson, R Cardona, Z Wang, Z Jiang US Patent App. 16/945,517, 2022 | | 2022 |
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
