Ajay Jaiswal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
9
Active years
2012–2024
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | EMNLP | Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. | Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu |
| 2024 | EMNLP | FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. | Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella |
| 2024 | WACV | FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. | Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu |
| 2023 | ICCV | Physics-Driven Turbulence Image Restoration with Stochastic Refinement. | Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang |
| 2023 | MICCAI | How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? | Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang |
| 2023 | WACV | Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. | Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang |
| 2022 | ECCV | Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. | Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan |
| 2022 | ICDM | RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. | Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding |
| 2021 | AMIA | Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. | Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng |
| 2021 | ICDM | SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. | Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding |
| 2016 | AI | Salient Object Detection in Noisy Images. | Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal |
| 2012 | CIARP | A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. | Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal |