NOTES2: Networks-of-Traces for Epidemic Spread Simulations. - Sicong Liu; Yash Garg; K. Selçuk Candan; Maria Luisa Sapino; Gerardo Chowell-Puente (AAAI Workshop: Computational Sustainability, 2015)

SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles. - Silvestro Roberto Poccia; Maria Luisa Sapino; Sicong Liu; Xilun Chen 001; Yash Garg; Shengyu Huang; Jung Hyun Kim 001; Xinsheng Li; Parth Nagarkar; K. Selçuk Candan (EDBT, 2017)

On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search. - Yash Garg; Silvestro Roberto Poccia (ICMR, 2017)

DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles. - Hans Behrens; K. Selçuk Candan; Xilun Chen 001; Ashish Gadkari; Yash Garg; Mao-Lin Li (Proc. VLDB Endow., 2018)

RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification. - Yash Garg; K. Selçuk Candan (ICMR, 2019)

SAN : Scale-Space Attention Networks. - Yash Garg; K. Selçuk Candan; Maria Luisa Sapino (ICDE, 2020)

SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series. - Yash Garg; K. Selçuk Candan (ICPR, 2020)

iSparse: Output Informed Sparsification of Neural Network. - Yash Garg; K. Selçuk Candan (ICMR, 2020)

On Feature Saliency and Deep Neural Networks. - Yash Garg (2020)

ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series. - Yash Garg (ICDM (Workshops), 2021)

XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis. - Yash Garg; K. Selçuk Candan (MIPR, 2021)

Selego: robust variate selection for accurate time series forecasting. - Manoj Tiwaskar; Yash Garg; Xinsheng Li; K. Selçuk Candan; Maria Luisa Sapino (Data Min. Knowl. Discov., 2021)

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. - Hans Walter Behrens; K. Selçuk Candan; Xilun Chen 001; Yash Garg; Mao-Lin Li; Xinsheng Li; Sicong Liu; Maria Luisa Sapino; Md Shadab; Dalton Turner; Magesh Vijayakumaren (Trans. Data Sci., 2021)

Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. - Md Abdur Rahaman; Yash Garg; Armin Iraji; Zening Fu; Jiayu Chen 003; Vince D. Calhoun (MLSP, 2022)

Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. - Shruti Patil; Varadarajan Vijayakumar 001; Supriya V. Mahadevkar; Rohan Athawade; Lakhan Maheshwari; Shrushti Kumbhare; Yash Garg; Deepak S. Dharrao; Pooja Kamat; Ketan Kotecha (J. Sens. Actuator Networks, 2022)

eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems. - Haoxiang Zhang 003; Juliana Freire; Yash Garg (CoRR, 2023)

Factorized Tensor Networks for Multi-Task and Multi-Domain Learning. - Yash Garg; Nebiyou Yismaw; Rakib Hyder; Ashley Prater-Bennette; M. Salman Asif (CoRR, 2023)

TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions. - Rohit Lal; Yash Garg; Arindam Dutta; Calvin-Khang Ta; Dripta S. Raychaudhuri; M. Salman Asif; Amit K. Roy-Chowdhury (CoRR, 2023)

POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation. - Arindam Dutta; Rohit Lal; Yash Garg; Calvin-Khang Ta; Dripta S. Raychaudhuri; Hannah Dela Cruz; Amit K. Roy-Chowdhury (CoRR, 2024)

A Novel Resource Management Framework for Blockchain-Based Federated Learning in IoT Networks. - Aman Mishra; Yash Garg; Om Jee Pandey; Mahendra Kumar Shukla; Athanasios V. Vasilakos; Rajesh M. Hegde (IEEE Trans. Sustain. Comput., 2024)

STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation. - Rohit Lal; Saketh Bachu; Yash Garg; Arindam Dutta; Calvin-Khang Ta; Hannah Dela Cruz; Dripta S. Raychaudhuri; M. Salman Asif; Amit K. Roy-Chowdhury (WACV, 2025)

Applications of augmented reality in cardiology till 2024: a comprehensive review of innovations and clinical impacts. - Ibthisam Ismail Sharieff; Diviya Bharathi Ravikumar; Shashvat Joshi; Barath Prashanth Sivasubramanian; Rajat Gupta; Yash Garg; Umabalan Thirupathy; Ragavendar Saravanabavanandan; Siva Naga Yarrarapu; Vikramaditya R. Samala Venkata (Frontiers Virtual Real., 2025)

VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions. - Yash Garg; Saketh Bachu; Arindam Dutta; Rohit Lal; Sarosij Bose; Calvin-Khang Ta; M. Salman Asif; Amit K. Roy-Chowdhury (CoRR, 2025)