Kanak Mahadik

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 27

Top Topics

Recommendation Systems

Graph Construction

Resource Allocation

Top Venues

Publications

Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. PAKDD (6) (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) (2024)
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Hypergraph Neural Networks for Time-series Forecasting. BigData (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Probabilistic Time-series Forecasting. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Atul Sharma, Pranjal Jain, Ashraf Mahgoub, Zihan Zhou, Kanak Mahadik, Somali Chaterji
Lerna: transformer architectures for configuring error correction tools for short- and long-read genome sequencing. BMC Bioinform. 23 (1) (2022)
Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik
Correlated Stochastic Knapsack with a Submodular Objective. ESA (2022)
Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM (2022)
Prashanth Thinakaran, Kanak Mahadik, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Chita R. Das
SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. Big Data (2022)
Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM (2022)
Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik
Correlated Stochastic Knapsack with a Submodular Objective. CoRR (2022)
Sheng Yang, Samir Khuller, Sunav Choudhary, Subrata Mitra, Kanak Mahadik
Scheduling ML training on unreliable spot instances. UCC Companion (2021)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry
Context Integrated Relational Spatio-Temporal Resource Forecasting. IEEE BigData (2021)
Atul Sharma, Pranjal Jain, Ashraf Mahgoub, Zihan Zhou, Kanak Mahadik, Somali Chaterji
Lerna: Transformer Architectures for Configuring Error Correction Tools for Short- and Long-Read Genome Sequencing. CoRR (2021)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD (2021)
Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne
Fast distributed bandits for online recommendation systems. ICS (2020)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. CoRR (2020)
Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne
Fast Distributed Bandits for Online Recommendation Systems. CoRR (2020)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Forecasting. CoRR (2020)
Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra
Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism. ICME (2020)
Sana Malik, Kanak Mahadik
Designing an Interactive Dashboard for Automated Cloud Resource Management. AutomationXP@CHI (2020)
Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC (2019)
Ryan A. Rossi, Youngsuk Park, Handong Zhao, Kanak Mahadik, Gang Wu
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC (2019)
Sanchit Misra, Tony C. Pan, Kanak Mahadik, George Powley, Priya N. Vaidya, Md. Vasimuddin, Srinivas Aluru
Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis. PACT (2018)
Kanak Mahadik, Christopher Wright, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji
Graph Construction for Multiple K-mers. BCB (2017)
Kanak Mahadik, Christopher Wright, Jinyi Zhang, Milind Kulkarni, Saurabh Bagchi, Somali Chaterji
SARVAVID: A Domain Specific Language for Developing Scalable Computational Genomics Applications. ICS (2016)
Kanak Mahadik, Wei Tang, Saurabh Bagchi, Folker Meyer
Do specialized distributed frameworks for bioinformatics applications obtain better performance over generic ones? BCB (2015)
Wei Tang, Jared Bischof, Narayan Desai, Kanak Mahadik, Wolfgang Gerlach, Travis Harrison, Andreas Wilke, Folker Meyer
Workload characterization for MG-RAST metagenomic data analytics service in the cloud. IEEE BigData (2014)
Kanak Mahadik, Somali Chaterji, Bowen Zhou, Milind Kulkarni, Saurabh Bagchi
Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization. SC (2014)
Thomas J. Hacker, Kanak Mahadik
Flexible resource allocation for reliable virtual cluster computing systems. SC (2011)