| CancerGPT for few shot drug pair synergy prediction using large pretrained language models T Li, S Shetty, A Kamath, A Jaiswal, X Jiang, Y Ding, Y Kim Nature NPJ Digital Medicine 7 (1), 40, 2024 | 79 | 2024 |
| LLaGA: Large Language and Graph Assistant R Chen, T Zhao, A Jaiswal, N Shah, Z Wang ICML 2024, 2024 | 75 | 2024 |
| Single frame atmospheric turbulence mitigation: A benchmark study and a new physics-inspired transformer model Z *Mao, A *Jaiswal, Z Wang, SH Chan (*Equal Contribution) European Conference on Computer Vision, 430-446, 2022 | 67 | 2022 |
| Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, G Li, A Jaiswal, ... ICML 2024, 2023 | 61 | 2023 |
| Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers T Chen, Z Zhang, A Jaiswal, S Liu, Z Wang ICLR 2023, 2023 | 48 | 2023 |
| Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature M Liu, N Zhang, X Hu, A Jaiswal, J Xu, H Chen, Y Ding, Y Bu Journal of informetrics 16 (2), 101295, 2022 | 44 | 2022 |
| The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter A Jaiswal, S Liu, T Chen, Z Wang Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 41 | 2023 |
| Training your sparse neural network better with any mask AK Jaiswal, H Ma, T Chen, Y Ding, Z Wang International conference on machine learning, 9833-9844, 2022 | 39 | 2022 |
| Compressing llms: The truth is rarely pure and never simple A Jaiswal, Z Gan, X Du, B Zhang, Z Wang, Y Yang ICLR 2024, 2023 | 35 | 2023 |
| Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! S Liu, T Chen, Z Zhang, X Chen, T Huang, A Jaiswal, Z Wang ICLR 2023, 2023 | 34 | 2023 |
| Physics-driven turbulence image restoration with stochastic refinement A Jaiswal, X Zhang, SH Chan, Z Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 27 | 2023 |
| Outline, then details: Syntactically guided coarse-to-fine code generation W Zheng, SP Sharan, AK Jaiswal, K Wang, Y Xi, D Xu, Z Wang ICLR 2023, 2023 | 25 | 2023 |
| Team formation and team impact: The balance between team freshness and repeat collaboration M Liu, A Jaiswal, Y Bu, C Min, S Yang, Z Liu, D Acuņa, Y Ding Journal of Informetrics 16 (4), 101337, 2022 | 24 | 2022 |
| Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again A Jaiswal, P Wang, T Chen, JF Rousseau, Y Ding, Z Wang Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 22 | 2022 |
| Radbert-cl: Factually-aware contrastive learning for radiology report classification A Jaiswal, L Tang, M Ghosh, JF Rousseau, Y Peng, Y Ding Machine Learning for Health, 196-208, 2021 | 21 | 2021 |
| Understanding the impact of early citers on long-term scientific impact M Singh, A Jaiswal, P Shree, A Pal, A Mukherjee, P Goyal 2017 ACM/IEEE joint conference on digital libraries (JCDL), 1-10, 2017 | 21 | 2017 |
| Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression J Hong, J Duan, C Zhang, Z Li, C Xie, K Lieberman, J Diffenderfer, ... ICML 2024, 2024 | 18 | 2024 |
| Instant soup: Cheap pruning ensembles in a single pass can draw lottery tickets from large models AK Jaiswal, S Liu, T Chen, Y Ding, Z Wang International Conference on Machine Learning, 14691-14701, 2023 | 18 | 2023 |
| Using radiomics as prior knowledge for thorax disease classification and localization in chest x-rays Y Han, C Chen, L Tang, M Lin, A Jaiswal, S Wang, A Tewfik, G Shih, ... AMIA Annual Symposium Proceedings 2021, 546, 2022 | 18 | 2022 |
| Farsight: A physics-driven whole-body biometric system at large distance and altitude F Liu, R Ashbaugh, N Chimitt, N Hassan, A Hassani, A Jaiswal, M Kim, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 15 | 2024 |
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinVerified email at utexas.edu
