Ajay Jaiswal - RankMe

79 papers A* 7A 2C 1Misc 1Journal 53Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning. Trans. Mach. Learn. Res. Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Ajay Jaiswal, Li Shen, Xiaolong Ma, Shiwei Liu, Lu Yin
2026	J	`jnl`	Improving Software Project Cost Estimation and Planning Accuracy Using Genetic Algorithms and Fuzzy Logic. Int. J. Softw. Eng. Knowl. Eng. Ajay Jaiswal, Jagdish Raikwal, Ratnesh Litoriya
2026	J	`jnl`	MemoryLLM: Plug-n-Play Interpretable Feed-Forward Memory for Transformers. CoRR Ajay Jaiswal, Lauren Hannah, Han-Byul Kim, Duc N. M. Hoang, Arnav Kundu, Mehrdad Farajtabar, Minsik Cho
2026	J	`jnl`	SpecMD: A Comprehensive Study On Speculative Expert Prefetching. CoRR Duc N. M. Hoang, Ajay Jaiswal, Mohammad Samragh, Minsik Cho
2025	J	`jnl`	AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs. CoRR Di He, Ajay Jaiswal, Songjun Tu, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin
2025	J	`jnl`	Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. CoRR Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du
2025	J	`jnl`	IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining. CoRR Yixiao Li, Xianzhi Du, Ajay Jaiswal, Tao Lei, Tuo Zhao, Chong Wang, Jianyu Wang
2025	J	`jnl`	Random permutation-based linear regression for cancelable biometrics. Expert Syst. J. Knowl. Eng. Onkar Singh, Ajay Jaiswal, Nitin Kumar, Naveen Kumar
2025	J	`jnl`	Real-numbered singular matrix transformation for non-invertible and cancelable biometric templates. Appl. Intell. Onkar Singh, Ajay Jaiswal, Naveen Kumar
2025	J	`jnl`	Sebra: Debiasing Through Self-Guided Bias Ranking. CoRR Adarsh Kappiyath, Abhra Chaudhuri, Ajay Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin
2024	J	`jnl`	All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
2024	J	`jnl`	Bug severity prediction using LDA and sentiment scores: A CNN approach. Expert Syst. J. Knowl. Eng. Ritu Bibyan, Sameer Anand, Ajay Jaiswal, Anu G. Aggarwal
2024	J	`jnl`	CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim
2024	J	`jnl`	Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR 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
2024	A*	`conf`	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. EMNLP Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella
2024	J	`jnl`	FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella
2024	A	`conf`	FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. WACV 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
2024	J	`jnl`	From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. CoRR Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
2024	A*	`conf`	Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. EMNLP Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024	J	`jnl`	LLaGA: Large Language and Graph Assistant. CoRR Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
2024	J	`jnl`	Modeling the impact of noise and uncertain operational environment on software release decisions considering testing coverage-based SRGM. Intell. Decis. Technol. Sameer Anand, Ajay Jaiswal, Vibha Verma, Atul Singh
2024	J	`jnl`	Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients. CoRR Zhenyu Zhang, Ajay Jaiswal, Lu Yin, Shiwei Liu, Jiawei Zhao, Yuandong Tian, Zhangyang Wang
2024	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 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
2023	A	`conf`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2023	J	`jnl`	CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. CoRR Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim
2023	J	`jnl`	Compressing LLMs: The Truth is Rarely Pure and Never Simple. CoRR Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
2023	—	`conf`	Disparity in the Evolving COVID-19 Collaboration Network. iConference (1) Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding
2023	J	`jnl`	Disparity in the Evolving COVID-19 Collaboration Network. CoRR Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding
2023	J	`jnl`	FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude. CoRR 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
2023	J	`jnl`	Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR 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	—	`conf`	How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) 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	J	`jnl`	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity. CoRR Lu Yin, Shiwei Liu, Ajay Jaiswal, Souvik Kundu, Zhangyang Wang
2023	A*	`conf`	Physics-Driven Turbulence Image Restoration with Stochastic Refinement. ICCV Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
2023	J	`jnl`	Physics-Driven Turbulence Image Restoration with Stochastic Refinement. CoRR Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang
2023	J	`jnl`	Software reliability testing coverage model using feed-forward back propagation neural network. Int. J. Model. Identif. Control. Ritu Bibyan, Sameer Anand, Ajay Jaiswal, Anu G. Aggarwal
2023	J	`jnl`	Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers. CoRR Tianlong Chen, Zhenyu Zhang, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang
2023	J	`jnl`	Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! CoRR Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen, Tianjin Huang, Ajay Jaiswal, Zhangyang Wang
2023	A*	`conf`	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. NeurIPS Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter. CoRR Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Zhangyang Wang
2023	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR 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
2022	J	`jnl`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Fiber Bragg grating sensors driven structural health monitoring by using multimedia-enabled iot and big data technology. Multim. Tools Appl. Ambarish G. Mohapatra, Jaideep Talukdar, Tarini Ch. Mishra, Sameer Anand, Ajay Jaiswal, Ashish Khanna, Deepak Gupta
2022	J	`jnl`	Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature. J. Informetrics Meijun Liu, Ning Zhang, Xiao Hu, Ajay Jaiswal, Jian Xu, Hong Chen, Ying Ding, Yi Bu
2022	A*	`conf`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	A*	`conf`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	J	`jnl`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	J	`jnl`	Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model. CoRR Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
2022	—	`conf`	Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. ECCV (19) Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan
2022	J	`jnl`	Team formation and team impact: The balance between team freshness and repeat collaboration. J. Informetrics Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding
2022	J	`jnl`	Team formation and team performance: The balance between team freshness and repeat collaboration. CoRR Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding
2022	J	`jnl`	Training Your Sparse Neural Network Better with Any Mask. CoRR Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
2021	—	`conf`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	A*	`conf`	SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	—	`conf`	Understanding Parachuting Collaboration. iConference (1) Ajay Jaiswal, Meijun Liu, Ying Ding
2021	Misc	`conf`	Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng
2020	J	`jnl`	Segmentation and Ranking of Online Reviewer Community: The Role of Reviewers' Frequency, Helpfulness, and Recency. Int. J. E Adopt. Aakash Aakash, Ajay Jaiswal
2020	—	`conf`	Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles. SemEval@COLING Mayank Raj, Ajay Jaiswal, Rohit R. R, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim
2020	J	`jnl`	Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles. CoRR Mayank Raj, Ajay Jaiswal, Rohit R. R, Ankita Gupta, Sudeep Kumar Sahoo, Vertika Srivastava, Yeon Hyang Kim
2020	—	`conf`	Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning. SemEval@COLING Vertika Srivastava, Sudeep Kumar Sahoo, Yeon Hyang Kim, Rohit R. R, Mayank Raj, Ajay Jaiswal
2020	J	`jnl`	Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng
2017	—	`ed.`	Proceedings of the First International Conference on Information Technology and Knowledge Management, New Delhi, India, December 22-23, 2017. ICITKM Ajay Jaiswal, Vijender Kumar Solanki, Zhongyu (Joan) Lu, Nikhil Rajput
2017	—	`conf`	Understanding the Impact of Early Citers on Long-Term Scientific Impact. JCDL Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal
2017	J	`jnl`	Understanding the Impact of Early Citers on Long-Term Scientific Impact. CoRR Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal
2016	J	`jnl`	Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition. Comput. Informatics Nitin Kumar, Ramesh K. Agrawal, Ajay Jaiswal
2016	—	`conf`	Salient Object Detection in Noisy Images. Canadian AI Nitin Kumar, Maheep Singh, Mahesh Chandra Govil, Emmanuel S. Pilli, Ajay Jaiswal
2015	J	`jnl`	Analysis and evaluation of regression-based methods for facial pose classification. Int. J. Appl. Pattern Recognit. Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2014	—	`conf`	A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition. SIRS Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
2014	J	`jnl`	Incremental and Decremental Exponential Discriminant Analysis for Face Recognition. Int. J. Comput. Vis. Image Process. Nitin Kumar, R. K. Agrawal, Ajay Jaiswal
2012	C	`conf`	A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose. CIARP Ajay Jaiswal, Nitin Kumar, Ramesh K. Agrawal
2012	—	`conf`	Expert Webest Tool: A Web Based Application, Estimate the Cost and Risk of Software Project Using Function Points. ACITY (2) Ajay Jaiswal, Meena Sharma
2012	J	`jnl`	Local Linear Regression on Hybrid Eigenfaces for Pose Invariant Face Recognition. Int. J. Comput. Vis. Image Process. Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2012	—	`conf`	Performance evaluation of subspace methods to tackle small sample size problem in face recognition. ICACCI Nitin Kumar, Ajay Jaiswal, Ramesh K. Agrawal
2012	—	`conf`	Statistical Framework for Facial Pose Classification. MICAI (1) Ajay Jaiswal, Nitin Kumar, R. K. Agrawal
2011	—	`conf`	Performance evaluation of linear subspace methods for face recognition under illumination variation. C3S2E Ajay Jaiswal, Ramesh K. Agrawal, Nitin Kumar