Flexible resource allocation for reliable virtual cluster computing systems. - Thomas J. Hacker; Kanak Mahadik (SC, 2011)

Workload characterization for MG-RAST metagenomic data analytics service in the cloud. - Wei Tang 001; Jared Bischof; Narayan Desai; Kanak Mahadik; Wolfgang Gerlach; Travis Harrison; Andreas Wilke; Folker Meyer (IEEE BigData, 2014)

Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization. - Kanak Mahadik; Somali Chaterji; Bowen Zhou 008; Milind Kulkarni 001; Saurabh Bagchi (SC, 2014)

Do specialized distributed frameworks for bioinformatics applications obtain better performance over generic ones? - Kanak Mahadik; Wei Tang 001; Saurabh Bagchi; Folker Meyer (BCB, 2015)

SARVAVID: A Domain Specific Language for Developing Scalable Computational Genomics Applications. - Kanak Mahadik; Christopher Wright; Jinyi Zhang; Milind Kulkarni 001; Saurabh Bagchi; Somali Chaterji (ICS, 2016)

Scalable Genomic Assembly through Parallel de Bruijn Graph Construction for Multiple K-mers. - Kanak Mahadik; Christopher Wright; Milind Kulkarni 001; Saurabh Bagchi; Somali Chaterji (BCB, 2017)

Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis. - Sanchit Misra; Tony C. Pan; Kanak Mahadik; George Powley; Priya N. Vaidya; Md. Vasimuddin; Srinivas Aluru (PACT, 2018)

Linear Quadratic Regulator for Resource-Efficient Cloud Services. - Youngsuk Park; Kanak Mahadik; Ryan A. Rossi; Gang Wu 013; Handong Zhao (SoCC, 2019)

Designing an Interactive Dashboard for Automated Cloud Resource Management. - Sana Malik; Kanak Mahadik (AutomationXP@CHI, 2020)

Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism. - Phanwadee Sinthong; Kanak Mahadik; Somdeb Sarkhel; Saayan Mitra (ICME, 2020)

Fast distributed bandits for online recommendation systems. - Kanak Mahadik; Qingyun Wu; Shuai Li 011; Amit Sabne (ICS, 2020)

Fast Distributed Bandits for Online Recommendation Systems. - Kanak Mahadik; Qingyun Wu; Shuai Li; Amit Sabne (CoRR, 2020)

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Hoda Eldardiry (CoRR, 2020)

Graph Deep Factors for Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (CoRR, 2020)

Context Integrated Relational Spatio-Temporal Resource Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Hoda Eldardiry (IEEE BigData, 2021)

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (KDD, 2021)

Scheduling ML training on unreliable spot instances. - Sheng Yang 005; Samir Khuller; Sunav Choudhary; Subrata Mitra; Kanak Mahadik (UCC Companion, 2021)

SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. - Prashanth Thinakaran; Kanak Mahadik; Jashwant Raj Gunasekaran; Mahmut Taylan Kandemir; Chita R. Das (IEEE Big Data, 2022)

AutoForecast: Automatic Time-Series Forecasting Model Selection. - Mustafa Abdallah; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Handong Zhao; Saurabh Bagchi (CIKM, 2022)

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. - Duc Hoang; Haotao Wang; Handong Zhao; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Zhangyang Wang (CIKM, 2022)

Correlated Stochastic Knapsack with a Submodular Objective. - Sheng Yang 005; Samir Khuller; Sunav Choudhary; Subrata Mitra; Kanak Mahadik (ESA, 2022)

Lerna: transformer architectures for configuring error correction tools for short- and long-read genome sequencing. - Atul Sharma; Pranjal Jain; Ashraf Mahgoub; Zihan Zhou 013; Kanak Mahadik; Somali Chaterji (BMC Bioinform., 2022)

Hypergraph Neural Networks for Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (IEEE Big Data, 2023)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (CoRR, 2023)

Graph Deep Factors for Probabilistic Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Hoda Eldardiry (ACM Trans. Knowl. Discov. Data, 2023)

A Study of Foundation Models for Large-scale Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (IEEE Big Data, 2024)

GPURank: A Cloud GPU Instance Recommendation System. - Shravika Mittal; Kanak Mahadik; Ryan A. Rossi; Sungchul Kim; Handong Zhao (IEEE Big Data, 2024)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (EACL (1), 2024)

RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. - Chen-Yi Lu; Shubham Agarwal 007; Md. Mehrab Tanjim; Kanak Mahadik; Anup B. Rao; Subrata Mitra; Shiv Kumar Saini; Saurabh Bagchi; Somali Chaterji (ECCV (59), 2024)

Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (PAKDD (6), 2024)

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (WWW (Companion Volume), 2024)

Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. - Hongjie Chen 003; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Hoda Eldardiry (KDD (1), 2025)

Pandora with Inaccurate Priors. - Kiarash Banihashem; Xiang Chen; MohammadTaghi Hajiaghayi; Sungchul Kim; Kanak Mahadik; Ryan A. Rossi; Tong Yu 001 (CoRR, 2025)

Evaluation-free Time-series Forecasting Model Selection via Meta-learning. - Mustafa Abdallah; Ryan A. Rossi; Kanak Mahadik; Sungchul Kim; Handong Zhao; Saurabh Bagchi (ACM Trans. Knowl. Discov. Data, 2025)

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling. - Mehrnoosh Mirtaheri; Ryan A. Rossi; Sungchul Kim; Kanak Mahadik; Tong Yu 001; Xiang Chen; Mohammad Rostami (CoRR, 2025)