Saurabh Agarwal

95 papers A* 5A 2B 2C 1Misc 2Journal 62Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comprehensive Study of Grey Wolf Optimizer Variants for Optimizing Feature Selection in High-Dimensional Data.
Appl. Artif. Intell.
Thompson Stephan, Punitha Stephan, Chia-Chen Lin, Saurabh Agarwal
2026 J jnl
CUCo: An Agentic Framework for Compute and Communication Co-design.
CoRR
Bodun Hu, Yoga Sri Varshan V, Saurabh Agarwal, Aditya Akella
2026 J jnl
Nalar: An agent serving framework.
CoRR
Marco Laju, Donghyun Son, Saurabh Agarwal, Nitin Kedia, Myungjin Lee, Jayanth Srinivasa, Aditya Akella
2026 J jnl
Rank optimization technique of physical layer secrecy capacity in MIMO wiretap channel.
Wirel. Networks
Bhawna Khokher, G. Rajesh, Christo Ananth, N. Prabhu, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal
2026 J jnl
Software-Defined Agentic Serving.
CoRR
Saurabh Agarwal, Marco Laju, Jayanth Srinivasa, Myungjin Lee, Aditya Akella
2025 J jnl
A Survey of Image Forensics: Exploring Forgery Detection in Image Colorization.
Comput. Mater. Continua
Saurabh Agarwal, Deepak Sharma, Nancy Girdhar, Cheonshik Kim, Ki-Hyun Jung
2025 J jnl
A cohesive forgery detection for splicing and copy-paste in digital images.
Multim. Tools Appl.
Saurabh Agarwal, Savita Walia, Ki-Hyun Jung
2025 J jnl
Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations.
J. Big Data
Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal
2025 J jnl
An Efficient CSP-PDW Approach for ECG Signal Compression and Reconstruction for IoT-Based Healthcare.
Comput. Mater. Continua
Hari Mohan Rai, Joy Chandra Mukherjee, Joon Yoo, Hanaa A. Abdallah, Saurabh Agarwal, Wooguil Pak
2025 — conf
Analyzing Digital Image Anti-Forensics Techniques and Countermeasures.
ICACT
Saurabh Agarwal, Rajeev Kumar, Abha Devi, Ki-Hyun Jung
2025 J jnl
CXRNet: CNN-attention based CXR image classifier.
Expert Syst. J. Knowl. Eng.
Saurabh Agarwal, K. V. Arya
2025 J jnl
Correction to: A cohesive forgery detection for splicing and copy-paste in digital images.
Multim. Tools Appl.
Saurabh Agarwal, Savita Walia, Ki-Hyun Jung
2025 J jnl
Correction: Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts.
J. Big Data
Thompson Stephan, Padma Priya Dharishini Paramana, Chia-Chen Lin, Saurabh Agarwal, Rajan Verma
2025 — conf
Decoding Speculative Decoding.
NAACL (Long Papers)
Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman
2025 A* conf
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.
ICML
Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2025 J jnl
Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts.
J. Big Data
Thompson Stephan, Padma Priya Dharishini Paramana, Chia-Chen Lin, Saurabh Agarwal, Rajan Verma
2025 — conf
OQueue: Observable Communication in Learning Directed Operating Systems.
PACMI@SOSP
Aditya Atul Tewari, Sujay Yadalam, Arthur Michener Peters, Saurabh Agarwal, Aditya Akella, Michael M. Swift, Christopher J. Rossbach
2025 J jnl
Optimization of solar farm design for energy efficiency in university campuses using machine learning: A case study.
Eng. Appl. Artif. Intell.
Ehsanolah Assareh, Nima Izadyar, Elmira Jamei, Mohammad amin Monzavian, Saurabh Agarwal, Wooguil Pak
2025 J jnl
Patchwork: A Unified Framework for RAG Serving.
CoRR
Bodun Hu, Luis Pabon, Saurabh Agarwal, Aditya Akella
2025 J jnl
SPA-IoT with MCSV-CNN: a novel IoT-enabled method for robust pre-ictal seizure prediction.
BMC Medical Informatics Decis. Mak.
Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Thompson Stephan, Vijay Mohan, Saurabh Agarwal
2025 — conf
StitchLLM: Serving LLMs, One Block at a Time.
ACL (1)
Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella
2025 J jnl
SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling.
CoRR
Fanjiang Ye, Zepeng Zhao, Yi Mu, Jucheng Shen, Renjie Li, Kaijian Wang, Desen Sun, Saurabh Agarwal, Myungjin Lee, Triston Cao, Aditya Akella, Arvind Krishnamurthy, T. S. Eugene Ng, Zhengzhong Tu, Yuke Wang
2025 J jnl
Synthetic shadows: the interplay of forensic detection and anti-forensic techniques in GAN-generated images.
Multim. Syst.
Padmaja Vudayagiri, Rajeswari Sana, Hanaa A. Abdallah, Neha Agarwal, Saurabh Agarwal
2025 J jnl
Tesserae: Scalable Placement Policies for Deep Learning Workloads.
CoRR
Song Bian, Saurabh Agarwal, Md. Tareq Mahmood, Shivaram Venkataraman
2025 J jnl
Vehicle tracking and classification for intelligent transportation systems using YOLOv5 and modified deep SORT with HRNN.
Signal Image Video Process.
Pamarthi Venkatasivarambabu, Rajesh K. Babu, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Neha Agarwal, Saurabh Agarwal
2024 J jnl
A Dynamic and Incremental Graphical Grid Authentication Technique for Mobile and Web Applications.
IEEE Access
Jiaming Gong, Noah Oluwatobi Akande, Chia-Chen Lin, Saurabh Agarwal
2024 J jnl
A Fast and Efficient 191-bit Elliptic Curve Cryptographic Processor Using a Hybrid Karatsuba Multiplier for IoT Applications.
IEEE Access
Sumit Singh Dhanda, Brahmjit Singh, Chia-Chen Lin, Poonam Jindal, Deepak Panwar, Tarun Kumar Sharma, Saurabh Agarwal, Wooguil Pak
2024 J jnl
A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions.
J. Big Data
Meenakshi Malhotra, Savita Walia, Chia-Chen Lin, Inderdeep Kaur Aulakh, Saurabh Agarwal
2024 A conf
Blox: A Modular Toolkit for Deep Learning Schedulers.
EuroSys
Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman
2024 A* conf
CHAI: Clustered Head Attention for Efficient LLM Inference.
ICML
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
2024 J jnl
CHAI: Clustered Head Attention for Efficient LLM Inference.
CoRR
Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu
2024 J jnl
CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment.
IEEE Trans. Medical Imaging
Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena
2024 J jnl
Decoding Speculative Decoding.
CoRR
Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman
2024 J jnl
Digital image steganalysis using entropy driven deep neural network.
J. Inf. Secur. Appl.
Saurabh Agarwal, Ki-Hyun Jung
2024 J jnl
Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach.
IEEE Access
Ishaya Peni Gambo, Rhodes Massenon, Chia-Chen Lin, Roseline Oluwaseun Ogundokun, Saurabh Agarwal, Wooguil Pak
2024 J jnl
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.
CoRR
Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024 J jnl
Forensic analysis and detection using polycolor model binary pattern for colorized images.
Multim. Tools Appl.
Saurabh Agarwal, Ki-Hyun Jung
2024 J jnl
Image operator forensics and sequence estimation using robust deep neural network.
Multim. Tools Appl.
Saurabh Agarwal, Ki-Hyun Jung
2024 J jnl
Integration of Edge-AI Into IoT-Cloud Architecture for Landslide Monitoring and Prediction.
IEEE Trans. Ind. Informatics
Amrita Joshi, Saurabh Agarwal, Debi Prasanna Kanungo, Rajib Kumar Panigrahi
2024 J jnl
IoT-Based Automatic Water Quality Monitoring System with Optimized Neural Network.
KSII Trans. Internet Inf. Syst.
Anusha Bamini A. M., R. Chitra, Saurabh Agarwal, Hyunsung Kim, Punitha Stephan, Thompson Stephan
2024 — conf
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.
ACL (1)
Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A. Aly, Beidi Chen, Carole-Jean Wu
2024 J jnl
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.
CoRR
Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A. Aly, Beidi Chen, Carole-Jean Wu
2024 J jnl
Mobile app review analysis for crowdsourcing of software requirements: a mapping study of automated and semi-automated tools.
PeerJ Comput. Sci.
Rhodes Massenon, Ishaya Peni Gambo, Roseline Oluwaseun Ogundokun, Ezekiel Adebayo Ogundepo, Sweta Srivastava, Saurabh Agarwal, Wooguil Pak
2024 J jnl
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification.
CoRR
Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena
2024 J jnl
MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification.
Soft Comput.
Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena
2024 J jnl
Quantum blockchain: Trends, technologies, and future directions.
IET Quantum Commun.
S. Manjula Gandhi, Chaitrali Mulay, Karthiganesh Durai, G. Murali, Jafar Ali Ibrahim Syed Masood, V. Vijayarajan, Kumar Gautam, N. S. Kalyan Chakravarthy, S. Suresh Kumar, Saurabh Agarwal, Murali S, Vijayasherly V, David Asirvatham, Sarfraz Nawaz Brohi, Chandru Vignesh C, Anbuchelian S
2024 J jnl
SYMPHONY: Improving Memory Management for LLM Inference Workloads.
CoRR
Saurabh Agarwal, Anyong Mao, Aditya Akella, Shivaram Venkataraman
2023 A* conf
Bagpipe: Accelerating Deep Recommendation Model Training.
SOSP
Saurabh Agarwal, Chengpo Yan, Ziyi Zhang, Shivaram Venkataraman
2023 J jnl
Blox: A Modular Toolkit for Deep Learning Schedulers.
CoRR
Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman
2023 — conf
Cuttlefish: Low-Rank Model Training without All the Tuning.
MLSys
Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris Papailiopoulos
2023 J jnl
Cuttlefish: Low-Rank Model Training without All the Tuning.
CoRR
Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris S. Papailiopoulos
2023 J jnl
Detecting Images in Two-Operator Series Manipulation: A Novel Approach Using Transposed Convolution and Information Fusion.
Symmetry
Saurabh Agarwal, Dae-Jea Cho, Ki-Hyun Jung
2023 J jnl
Exploring Symmetry in Digital Image Forensics Using a Lightweight Deep-Learning Hybrid Model for Multiple Smoothing Operators.
Symmetry
Saurabh Agarwal, Ki-Hyun Jung
2023 J jnl
FakedBits- Detecting Fake Information on Social Platforms using Multi-Modal Features.
KSII Trans. Internet Inf. Syst.
Dilip Kumar Sharma, Bhuvanesh Singh, Saurabh Agarwal, Hyunsung Kim, Raj Sharma
2023 — conf
Image Captioning with Reinforcement Learning.
CVMI
Anand Verma, Saurabh Agarwal, K. V. Arya, Ivan Petrlik, Roberto Esparza, Ciro Rodriguez
2023 J jnl
Median filtering detection using optimal multi-direction threshold on higher-order difference pixels.
Multim. Tools Appl.
Saurabh Agarwal, Ki-Hyun Jung
2023 J jnl
Reversible data hiding in encrypted image using two-pass pixel value ordering.
J. Inf. Secur. Appl.
Arun Kumar Rai, Hari Om, Satish Chand, Saurabh Agarwal
2022 J jnl
BagPipe: Accelerating Deep Recommendation Model Training.
CoRR
Saurabh Agarwal, Ziyi Zhang, Shivaram Venkataraman
2022 J jnl
Median filtering forensics based on optimum thresholding for low-resolution compressed images.
Multim. Tools Appl.
Saurabh Agarwal, Ki-Hyun Jung
2022 — conf
On the Utility of Gradient Compression in Distributed Training Systems.
MLSys
Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2022 J jnl
Using XAI for Deep Learning-Based Image Manipulation Detection with Shapley Additive Explanation.
Symmetry
Savita Walia, Krishan Kumar, Saurabh Agarwal, Hyunsung Kim
2021 — conf
Adaptive Gradient Communication via Critical Learning Regime Identification.
MLSys
Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2021 J jnl
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning.
CoRR
Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman
2021 — conf
Image Forensics using Optimal Normalization in Challenging Environment.
ICEIC
Saurabh Agarwal, Ki-Hyun Jung
2021 J jnl
On the Utility of Gradient Compression in Distributed Training Systems.
CoRR
Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2021 — conf
Pufferfish: Communication-efficient Models At No Extra Cost.
MLSys
Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos
2021 J jnl
Pufferfish: Communication-efficient Models At No Extra Cost.
CoRR
Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos
2020 J jnl
Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification.
CoRR
Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2020 A* conf
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
NeurIPS
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
2020 J jnl
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
CoRR
Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
2020 — conf
Regularized Graph Convolutional Networks for Short Text Classification.
COLING (Industry)
Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
2019 J jnl
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
J. Digit. Imaging
Ian Pan, Saurabh Agarwal, Derek Merck
2019 J jnl
Scalable K-Medoids via True Error Bound and Familywise Bandits.
CoRR
Aravindakshan Babu, Saurabh Agarwal, Sudarshan Babu, Hariharan Chandrasekaran
2018 J jnl
Graph based Question Answering System.
CoRR
Piyush Mital, Saurabh Agarwal, Bhargavi Neti, Yashodhara Haribhakta, Vibhavari Kamble, Krishnanjan Bhattacharjee, Debashri Das, Swati Mehta, Ajai Kumar
2018 — conf
Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function.
ICONIP (7)
Saurabh Agarwal, Ashish Kumar Gaurav, Mehul Kumar Nirala, Sayan Sinha
2017 — conf
Highly integrated wavelength-locked Si photonic ring transmitter using direct monitoring of drop-port OMA.
ESSCIRC
Saurabh Agarwal, Mark Ingels, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
2016 — conf
Image forgery detection using Markov features in undecimated wavelet transform.
IC3
Saurabh Agarwal, Satish Chand
2016 J jnl
SPAM revisited for median filtering detection using higher-order difference.
Secur. Commun. Networks
Saurabh Agarwal, Satish Chand, Nikolay Skarbnik
2016 J jnl
Wavelength Locking of a Si Ring Modulator Using an Integrated Drop-Port OMA Monitoring Circuit.
IEEE J. Solid State Circuits
Saurabh Agarwal, Mark Ingels, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
2016 — conf
Wavelength locking of a Si photonic ring transmitter using a dithering-based OMA stabilizing feedback loop.
OFC
Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
2015 J jnl
A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval.
CoRR
Saurabh Agarwal, Punit Kumar Johari
2015 J jnl
Framework for Application Mapping over Packet-Switched Network of FPGAs: Case Studies.
CoRR
Vinay B. Y. Kumar, Pinalkumar Engineer, Mandar Datar, Yatish Turakhia, Saurabh Agarwal, Sanket Diwale, Sachin B. Patkar
2015 — conf
Wavelength locking of a Si ring modulator using an integrated drop-port OMA monitoring circuit.
A-SSCC
Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe P. Absil, Joris Van Campenhout
2014 — conf
Distributed event notification in VANET with multiple service providers.
DEBS
Joy Chandra Mukherjee, Saurabh Agarwal, Arobinda Gupta
2014 — conf
Monitoring optical modulation amplitude using a low-power CMOS circuit for thermal control of Si ring transmitters.
ECOC
Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout
2007 J jnl
Performance Comparison of Coscheduling Algorithms for Non-Dedicated Clusters Through a Generic Framework.
Int. J. High Perform. Comput. Appl.
Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Chita R. Das, Andy B. Yoo
2006 B conf
A New GCD Algorithm for Quadratic Number Rings with Unique Factorization.
LATIN
Saurabh Agarwal, Gudmund Skovbjerg Frandsen
2006 A* conf
Asymptotically Optimal Two-Round Perfectly Secure Message Transmission.
CRYPTO
Saurabh Agarwal, Ronald Cramer, Robbert de Haan
2006 Misc conf
Recovery-Based Real-Time Static Scheduling for Battery Life Optimization.
VLSI Design
Anirban Lahiri, Saurabh Agarwal, Anupam Basu, Bhargab B. Bhattacharya
2005 Misc conf
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach.
HiPC
Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi
2004 A conf
Adaptive incremental checkpointing for massively parallel systems.
ICS
Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira
2004 — conf
Binary GCD Like Algorithms for Some Complex Quadratic Rings.
ANTS
Saurabh Agarwal, Gudmund Skovbjerg Frandsen
2003 C conf
Co-Ordinated Coscheduling in Time-Sharing Clusters through a Generic Framework.
CLUSTER
Saurabh Agarwal, Gyu Sang Choi, Chita R. Das, Andy B. Yoo, Shailabh Nagar
2003 — conf
Impact of Job Allocation Strategies on Communication-Driven Coscheduling in Clusters.
Euro-Par
Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Andy B. Yoo, Chita R. Das
2000 B conf
Compression Tolerant Watermarking for Image Verification.
ICIP
Harpal S. Bassali, Jatin Chhugani, Saurabh Agarwal, Alok Aggarwal, Pradeep Dubey