Open Communication Protocols for Building Automation Systems. - Karan Lohia; Yash Jain; Chintan Patel; Nishant Doshi (EUSPN/ICTH, 2019)

RFID Tattoo: A Wireless Platform for Speech Recognition. - Jingxian Wang; Chengfeng Pan; Haojian Jin; Vaibhav Singh; Yash Jain; Jason I. Hong; Carmel Majidi; Swarun Kumar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Malware Detection Using Machine Learning. - Ajay Kumar 007; Kumar Abhishek 004; Kunjal Shah; Divy Patel; Yash Jain; Harsh Chheda; Pranav Nerurkar (KGSWC, 2020)

Visually Aware Skip-Gram for Image Based Recommendations. - Parth Tiwari; Yash Jain; Shivansh Mundra; Jenny A. Harding; Manoj Kumar Tiwari (CoRR, 2020)

SunPy: A Python package for Solar Physics. - Stuart Mumford; Nabil Freij; Steven Christe; Jack Ireland; Florian Mayer; V. Keith Hughitt; Albert J. Shih; Daniel Ryan; Simon Liedtke; David Pérez-Suárez; Pritish Chakraborty; Vishnunarayan K; et al. (J. Open Source Softw., 2020)

Integrating Transductive and Inductive Embeddings Improves Link Prediction Accuracy. - Chitrank Gupta; Yash Jain; Abir De; Soumen Chakrabarti (CIKM, 2021)

Distributed representation of tags for Active Zero Shot learning. - Yash Jain; Anurag Roy (COMAD/CODS, 2021)

Secure E-Voting System using Blockchain technology and authentication via Face recognition and Mobile OTP. - Abhishek Parmar; Sagar Gada; Trunesh Loke; Yash Jain; Sujata Pathak; Sonali Patil (ICCCNT, 2021)

Speech Recognition Using RFID Tattoos (Extended Abstract). - Jingxian Wang; Chengfeng Pan; Haojian Jin; Vaibhav Singh; Yash Jain; Jason I. Hong; Carmel Majidi; Swarun Kumar (IJCAI, 2021)

A Framework for Asymmetrical DNN Modularization for Optimal Loading. - Brijraj Singh; Yash Jain; Mayukh Das; Praveen Doreswamy Naidu (IJCNN, 2021)

Towards an Interpretable Latent Space in Structured Models for Video Prediction. - Rushil Gupta; Vishal Sharma; Yash Jain; Yitao Liang; Guy Van den Broeck; Parag Singla (CoRR, 2021)

Deep Neural Matching Models for Graph Retrieval. - Chitrank Gupta; Yash Jain (CoRR, 2021)

Experience of Conducting Online Test During COVID-19 Lockdown: A Case Study of NMIMS University. - Drishti Idnani; Arpit Kubadia; Yash Jain; Prathamesh P. Churi (Int. J. Eng. Pedagog., 2021)

Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images. - Yash Jain; Vishu Saxena; Sparsh Mittal (AIMLSystems, 2022)

On the Effectiveness of Virtual IMU Data for Eating Detection with Wrist Sensors. - Yash Jain; HyeokHyen Kwon; Thomas Ploetz (UbiComp/ISWC Adjunct, 2022)

Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data. - Zikang Leng; Yash Jain; HyeokHyen Kwon; Thomas Plötz (CoRR, 2022)

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition. - Yash Jain; Chi Ian Tang; Chulhong Min; Fahim Kawsar; Akhil Mathur (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Machine Learning and Polynomial Chaos models for Accurate Prediction of SET Pulse Current. - Vishu Saxena; Yash Jain; Sparsh Mittal (ISVLSI, 2023)

On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition. - Zikang Leng; Yash Jain; Hyeokhyen Kwon; Thomas Ploetz (ISWC, 2023)

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets. - Yash Jain; Harkirat S. Behl; Zsolt Kira; Vibhav Vineet (NeurIPS, 2023)

Signed Binarization: Unlocking Efficiency Through Repetition-Sparsity Trade-Off. - Sachit Kuhar; Yash Jain; Alexey Tumanov (CoRR, 2023)

Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. - Yash Jain; David M. Chan; Pranav Dheram; Aparna Khare; Olabanji Shonibare; Venkatesh Ravichandran; Shalini Ghosh (LREC/COLING, 2024)

Peekaboo: Interactive Video Generation via Masked-Diffusion. - Yash Jain; Anshul Nasery; Vibhav Vineet; Harkirat S. Behl (CVPR, 2024)

Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition. - Yash Jain; David Chan; Pranav Dheram; Aparna Khare; Olabanji Shonibare; Venkatesh Ravichandran; Shalini Ghosh (CoRR, 2024)

GeoMeter: Probing Depth and Height Perception of Large Visual-Language Models. - Shehreen Azad; Yash Jain; Rishit Garg; Yogesh S. Rawat; Vibhav Vineet (CoRR, 2024)

RiTTA: Modeling Event Relations in Text-to-Audio Generation. - Yuhang He; Yash Jain; Xubo Liu; Andrew Markham; Vibhav Vineet (CoRR, 2024)

PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off. - Sachit Kuhar; Yash Jain; Alexey Tumanov (Trans. Mach. Learn. Res., 2024)

Understanding Depth and Height Perception in Large Visual-Language Models. - Shehreen Azad; Yash Jain; Rishit Garg; Vibhav Vineet; Yogesh S. Rawat (CVPR Workshops, 2025)

Local Prompt Optimization. - Yash Jain; Vishal Chowdhary (NAACL (Short Papers), 2025)

VerificAgent: Integrating Expert Knowledge and Fact-Checked Memory for Robust Domain-Specific Task Planning. - Thong Q. Nguyen; Shubhang Desai; Yash Jain; Tanvir Aumi; Vishal Chowdhary (CoRR, 2025)

Test-time Prompt Refinement for Text-to-Image Models. - Mohammed Abdul Hafeez Khan; Yash Jain; Siddhartha Bhattacharyya; Vibhav Vineet (CoRR, 2025)