CREMOFAC - a database of chromatin remodeling factors. - Shipra Agrawal 002; Chetan Kumar; M. R. S. Rao (Bioinform., 2006)

HUMHOT: a database of human meiotic recombination hot spots. - K. T. Nishant; Chetan Kumar; M. R. S. Rao (Nucleic Acids Res., 2006)

A Method to Find Sequentially Separated Motifs in Biological Sequences (SSMBS). - Chetan Kumar; Nishith Kumar; Sarani Rangarajan; Narayanaswamy Balakrishnan 001; Kanagaraj Sekar (PRIB, 2008)

A new approach for a proxy-level web caching mechanism. - Chetan Kumar; John B. Norris (Decis. Support Syst., 2008)

Performance evaluation for implementations of a network of proxy caches. - Chetan Kumar (Decis. Support Syst., 2009)

Location and time do matter: A long tail study of website requests. - Chetan Kumar; John B. Norris; Yi Sun (Decis. Support Syst., 2009)

A mechanism for pricing and resource allocation in peer-to-peer networks. - Chetan Kumar; Kemal Altinkemer; Prabuddha De (Electron. Commer. Res. Appl., 2011)

A top-down approach to classify enzyme functional classes and sub-classes using random forest. - Chetan Kumar; Alok Choudhary (EURASIP J. Bioinform. Syst. Biol., 2012)

An empirical investigation into factors affecting patient cancellations and no-shows at outpatient clinics. - John B. Norris; Chetan Kumar; Suresh Chand; Herbert Moskowitz; Steve A. Shade; Deanna R. Willis (Decis. Support Syst., 2014)

Cross-database mammographic image analysis through unsupervised domain adaptation. - Deepak Kumar 008; Chetan Kumar; Ming Shao (IEEE BigData, 2017)

Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks. - Chetan Kumar; Riazat Ryan; Ming Shao (AAAI, 2020)

Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition. - Deepak Kumar 008; Chetan Kumar; Chun-Wei Seah; Siyu Xia; Ming Shao (ACM Multimedia, 2020)

Cyber-physical Systems (CPS) Security: State of the Art and Research Opportunities for Information Systems Academics. - Chetan Kumar; Sean R. Marston; Ravi Sen (Commun. Assoc. Inf. Syst., 2020)

Self learning robot using real-time neural networks. - Chirag Gupta; Chikita Nangia; Chetan Kumar (CoRR, 2020)

Collaborative knowledge distillation for incomplete multi-view action prediction. - Deepak Kumar 008; Chetan Kumar; Ming Shao (Image Vis. Comput., 2021)

Generative Adversarial Attack on Ensemble Clustering. - Chetan Kumar; Deepak Kumar 008; Ming Shao (WACV, 2022)

Greening the Cloud: A Load Balancing Mechanism to Optimize Cloud Computing Networks. - Chetan Kumar; Sean R. Marston; Ravi Sen; Amar Narisetty (J. Manag. Inf. Syst., 2022)

Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks. - Chetan Kumar; Neela Rahimi; Rohan Gonjari; John McLinden; Sarah M. Ismail Hosni; Yalda Shahriari; Ming Shao (EMBC, 2023)

Phase-Amplitude Coupling Between EEG Cortical Oscillations and Respiration: An Exploratory Study. - John McLinden; Seyyed Bahram Borgheai; Chetan Kumar; Neela Rahimi; Ming Shao; Kevin M. Spencer; Yalda Shahriari (NER, 2023)

Estimating time of arrival of vehicle fleets with GCN based traffic prediction. - Shivika Sharma; Nandini Mawane; Dhruthick Gowda M; Mayur Taware; Chetan Kumar; Yash Chandrashekhar Dixit; Rakshit Ramesh (CoRR, 2023)

Location Invariant Flood Prediction using Fourier Neural Operator. - Chetan Kumar; Diana McSpadden; Steven Goldenberg; Malachi Schram; Heather Richter; Yidi Wang; Binata Roy; Jonathan L. Goodall (ICMLA, 2024)

fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. - Pankaj Pandey; John McLinden; Neela Rahimi; Chetan Kumar; Ming Shao; Kevin M. Spencer; Sarah Ostadabbas; Yalda Shahriari (Eng. Appl. Artif. Intell., 2024)

Investigation of electro-vascular phase-amplitude coupling during an auditory task. - John McLinden; Neela Rahimi; Chetan Kumar; Dean J. Krusienski; Ming Shao; Kevin M. Spencer; Yalda Shahriari (Comput. Biol. Medicine, 2024)

RECminThrash: Recency and Eviction Count Based Cache Replacement Policy to Minimize Thrashing at the Last Level Caches. - Chetan Kumar; Arijit Nath (ISQED, 2025)

SR-BigGAN: lightweight image super-resolution with priors. - Deepak Kumar 008; Harshitha Srinivas Rao; Chetan Kumar; Ming Shao (Mach. Vis. Appl., 2025)