Ajay Jaiswal

According to our database, Ajay Jaiswal authored at least 48 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CancerGPT for few shot drug pair synergy prediction using large pretrained language models.

Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim

npj Digit. Medicine, 2024

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.

Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

CoRR, 2024

LLaGA: Large Language and Graph Assistant.

Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang

CoRR, 2024

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Software reliability testing coverage model using feed-forward back propagation neural network.

Ritu Bibyan, Sameer Anand, Ajay Jaiswal, Anu G. Aggarwal

Int. J. Model. Identif. Control., 2023

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng

CoRR, 2023

Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity.

Lu Yin, Shiwei Liu, Ajay Jaiswal, Souvik Kundu, Zhangyang Wang

CoRR, 2023

Compressing LLMs: The Truth is Rarely Pure and Never Simple.

Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang

CoRR, 2023

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, Xingguang Zhang, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil K. Jain, Xiaoming Liu

CoRR, 2023

CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models.

Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim

CoRR, 2023

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.

Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Disparity in the Evolving COVID-19 Collaboration Network.

Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding

Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023

Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation.

Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!

Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Kumar Jaiswal, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers.

Tianlong Chen, Zhenyu Zhang, Ajay Kumar Jaiswal, Shiwei Liu, Zhangyang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Physics-Driven Turbulence Image Restoration with Stochastic Refinement.

Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Fiber Bragg grating sensors driven structural health monitoring by using multimedia-enabled iot and big data technology.

Ambarish G. Mohapatra, Jaideep Talukdar, Tarini Ch. Mishra, Sameer Anand, Ajay Jaiswal, Ashish Khanna, Deepak Gupta

Multim. Tools Appl., 2022

Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature.

Meijun Liu, Ning Zhang, Xiao Hu, Ajay Jaiswal, Jian Xu, Hong Chen, Ying Ding, Yi Bu

J. Informetrics, 2022

Team formation and team impact: The balance between team freshness and repeat collaboration.

Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding

J. Informetrics, 2022

Team formation and team performance: The balance between team freshness and repeat collaboration.

Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding

CoRR, 2022

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Your Sparse Neural Network Better with Any Mask.

Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the IEEE International Conference on Data Mining, 2022

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model.

Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.

Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the Machine Learning for Health, 2021

Understanding Parachuting Collaboration.

Ajay Jaiswal, Meijun Liu, Ying Ding

Proceedings of the Diversity, Divergence, Dialogue, 2021

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

Proceedings of the IEEE International Conference on Data Mining, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Segmentation and Ranking of Online Reviewer Community: The Role of Reviewers' Frequency, Helpfulness, and Recency.

Aakash Aakash, Ajay Jaiswal

Int. J. E Adopt., 2020

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

CoRR, 2020

Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning.

Vertika Srivastava, Sudeep Kumar Sahoo, Yeon Hyang Kim, Rohit R. R, Mayank Raj, Ajay Jaiswal

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles.

Mayank Raj, Ajay Jaiswal, Rohit R. R, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2017

Understanding the Impact of Early Citers on Long-Term Scientific Impact.

Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

2016

Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition.

Nitin Kumar, Ramesh K. Agrawal, Ajay Jaiswal

Comput. Informatics, 2016

Salient Object Detection in Noisy Images.

Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Analysis and evaluation of regression-based methods for facial pose classification.

Ajay Jaiswal, Nitin Kumar, R. K. Agrawal

Int. J. Appl. Pattern Recognit., 2015

2014

Incremental and Decremental Exponential Discriminant Analysis for Face Recognition.

Nitin Kumar, R. K. Agrawal, Ajay Jaiswal

Int. J. Comput. Vis. Image Process., 2014

A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition.

Nitin Kumar, R. K. Agrawal, Ajay Jaiswal

Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

2012

Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition.

Ajay Jaiswal, Nitin Kumar, R. K. Agrawal

Int. J. Comput. Vis. Image Process., 2012

Statistical Framework for Facial Pose Classification.

Ajay Jaiswal, Nitin Kumar, R. K. Agrawal

Proceedings of the Advances in Artificial Intelligence, 2012

Performance evaluation of subspace methods to tackle small sample size problem in face recognition.

Nitin Kumar, Ajay Jaiswal, Ramesh K. Agrawal

Proceedings of the 2012 International Conference on Advances in Computing, 2012

A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose.

Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

Expert Webest Tool: A Web Based Application, Estimate the Cost and Risk of Software Project Using Function Points.

Ajay Jaiswal, Meena Sharma

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011

Performance evaluation of linear subspace methods for face recognition under illumination variation.

Ajay Jaiswal, Ramesh K. Agrawal, Nitin Kumar

Proceedings of the Fourth International C* Conference on Computer Science & Software Engineering, 2011