Trajectory Based Unusual Human Movement Identification for Video Surveillance System. - Himanshu Rai; Maheshkumar H. Kolekar; Neelabh Keshav; J. K. Mukherjee (ICSEng, 2014)

Iris recognition using combined support vector machine and Hamming distance approach. - Himanshu Rai; Anamika Yadav (Expert Syst. Appl., 2014)

Two-stage Model for Automatic Playlist Continuation at Scale. - Maksims Volkovs; Himanshu Rai; Zhaoyue Cheng; Ga Wu; Yichao Lu; Scott Sanner (RecSys Challenge, 2018)

Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering. - Ga Wu; Maksims Volkovs; Chee Loong Soon; Scott Sanner; Himanshu Rai (CoRR, 2018)

Guided Similarity Separation for Image Retrieval. - Chundi Liu; Guangwei Yu; Maksims Volkovs; Cheng Chang; Himanshu Rai; Junwei Ma; Satya Krishna Gorti (NeurIPS, 2019)

Noise Contrastive Estimation for One-Class Collaborative Filtering. - Ga Wu; Maksims Volkovs; Chee Loong Soon; Scott Sanner; Himanshu Rai (SIGIR, 2019)

Semi-Supervised Exploration in Image Retrieval. - Cheng Chang; Himanshu Rai; Satya Krishna Gorti; Junwei Ma; Chundi Liu; Guangwei Yu; Maksims Volkovs (CoRR, 2019)

Learning Effective Visual Relationship Detector on 1 GPU. - Yichao Lu; Cheng Chang; Himanshu Rai; Guangwei Yu; Maksims Volkovs (CoRR, 2019)

Hyper-parameter optimization with REINFORCE and Masked Attention Auto-regressive Density Estimators. - Chepuri Shri Krishna; Ashish Gupta; Swarnim Narayan; Himanshu Rai; Diksha Manchanda (IEEE BigData, 2020)

Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimization. - Swarnim Narayan; Chepuri Shri Krishna; Varun Mishra 003; Abhinav Rai; Himanshu Rai; Chandrakant Bharti; Gursirat Singh Sodhi; Ashish Gupta; Nitinbalaji Singh (IEEE BigData, 2020)

Neural Architecture Search with Reinforce and Masked Attention Autoregressive Density Estimators. - Chepuri Shri Krishna; Ashish Gupta; Himanshu Rai; Swarnim Narayan (CoRR, 2020)

Context-aware Scene Graph Generation with Seq2Seq Transformers. - Yichao Lu; Himanshu Rai; Jason Chang; Boris Knyazev 001; Guangwei Yu; Shashank Shekhar 005; Graham W. Taylor; Maksims Volkovs (ICCV, 2021)

Active and passive social media usage and depression among the elderly during COVID-19: does race matter? - Malvika Chhatwani; Sushanta Kumar Mishra; Himanshu Rai (Behav. Inf. Technol., 2023)

Analysis of masked data with Lindley failure model. - Himanshu Rai; M. S. Panwar; Sanjeev K. Tomer (Commun. Stat. Simul. Comput., 2023)

Classifier Guided Cluster Density Reduction for Dataset Selection. - Cheng Chang; Keyu Long; Zijian Li; Himanshu Rai (CVPR Workshops, 2024)

Modeling of Post-Cycling Retention Bake in 3-D CTF TLC NAND Arrays. - Rashmi Saikia; Himanshu Rai; Souvik Mahapatra (IRPS, 2024)

FlexPE: Flexible Processing Elements for Workload Optimization and Acceleration on FPGAs. - Lasya Punya Sree Gundumogula; Rachana Kaparthi; Himanshu Rai; Nanditha Rao (ISCAS, 2025)

VFMA: Scalable Floating-Point Accelerator for Vector FMA on FPGAs. - Himanshu Rai; Sasi Snigdha Yadavalli; Aishwarya Sridhar; Nanditha Rao (ISVLSI, 2025)

FPUGen: A FrameWork to Generate Custom Floating Point FMA Accelerators on FPGAs. - Himanshu Rai; Aishwarya Sridhar; Wolfgang Ecker; Nanditha Rao (VLSID, 2025)

Variational Bayes for analysis of masked data. - Himanshu Rai; Sanjeev K. Tomer (J. Comput. Sci., 2025)