A comprehensive survey on model compression and acceleration. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Artif. Intell. Rev., 2020)

A Heuristic-Driven and Cost Effective Majority/ Minority Logic Synthesis for Post-CMOS Emerging Technology. - Vipul Kumar Mishra; Mayank Dixit; Tejalal Choudhary; Anurag Goswami; Manjit Kaur; Omar Cheikhrouhou; Habib Hamam (IEEE Access, 2021)

A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Comput. Biol. Medicine, 2021)

Inference-aware convolutional neural network pruning. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Future Gener. Comput. Syst., 2022)

Heuristic-based automatic pruning of deep neural networks. - Tejalal Choudhary; Vipul Kumar Mishra; Anurag Goswami; Jagannathan Sarangapani (Neural Comput. Appl., 2022)

Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification. - Tejalal Choudhary; Shubham Gujar; Anurag Goswami; Vipul Mishra; Tapas Badal (Appl. Intell., 2023)