Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. - Harsh Raj; Suvodip Dey; Hiransh Gupta; P. K. Srijith (ICONIP (5), 2020)

Medical Image Protection Using Blockchain for E-healthcare System. - Punam Prabha; Yash Janoria; Harsh Raj; Uday Patidar; Kakali Chatterjee (FICTA (2), 2021)

Exploration of Visual Features and their weighted-additive fusion for Video Captioning. - Praveen S. V; Akhilesh Bharadwaj; Harsh Raj; Janhavi Dadhania; Ganesh Samarth C. A.; Nikhil Pareek; S. R. M. Prasanna (CoRR, 2021)

Multi-Image Visual Question Answering. - Harsh Raj; Janhavi Dadhania; Akhilesh Bhardwaj (CoRR, 2021)

Min-max crossover designs for two treatments binary and poisson crossover trials. - Satya Prakash Singh; Siuli Mukhopadhyay; Harsh Raj (Stat. Comput., 2021)

Evaluating the Robustness of Biomedical Concept Normalization. - Sinchani Chakraborty; Harsh Raj; Srishti Gureja; Tanmay Jain; Atif Hassan; Sayantan Basu (TL4NLP, 2022)

GATE: Gated Additive Tree Ensemble for Tabular Classification and Regression. - Manu Joseph; Harsh Raj (CoRR, 2022)

AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language. - Manu Joseph; Harsh Raj; Anubhav Yadav; Aaryamann Sharma (CoRR, 2022)

Measuring Reliability of Large Language Models through Semantic Consistency. - Harsh Raj; Domenic Rosati; Subhabrata Majumdar (CoRR, 2022)

Anomaly Detection Across Multiple Farms Through Remote Sensing. - Hrishikesh Bodkhe; Harsh Raj; Deepak Kumar; Nitesh Wadhavinde; Neeraj Goel; Mukesh Saini (CVIP (2), 2023)

Reducing Cloud Workload Costs in Geographically Distributed Data Centers with GeoSched. - Vishnuvajjhula Pranav Sai; Harsh Raj (ICCCNT, 2023)

Physical Insights into the DC and Transient Reverse Bias Reliability of β-Ga2O3 Based Vertical Schottky Barrier Diodes. - Harsh Raj; Vipin Joshi; Rajarshi Roy Chaudhuri; Rasik Rashid Malik; Mayank Shrivastava (IRPS, 2023)

On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks. - Laura Fee Nern; Harsh Raj; Maurice André Georgi; Yash Sharma (NeurIPS, 2023)

Semantic Consistency for Assuring Reliability of Large Language Models. - Harsh Raj; Vipul Gupta; Domenic Rosati; Subhabrata Majumdar (CoRR, 2023)

Transfer learning-driven ensemble model for detection of diabetic retinopathy disease. - Brijesh Kumar Chaurasia; Harsh Raj; Shreya Singh Rathour; Piyush Bhushan Singh (Medical Biol. Eng. Comput., 2023)

On the Performance of IRS-Assisted SSK and RPM over Rician Fading Channels. - Harsh Raj; Ugrasen Singh; B. R. Manoj (VTC Spring, 2024)

Defending against Reverse Preference Attacks is Difficult. - Domenic Rosati; Giles Edkins; Harsh Raj; David Atanasov; Subhabrata Majumdar; Janarthanan Rajendran; Frank Rudzicz; Hassan Sajjad 001 (CoRR, 2024)

First Observations and Physical Insights of the Dynamic Breakdown Voltage and Overvoltage Margin Under Pulsed Conditions in β-Ga2O3Based Devices. - Harsh Raj; Mayank Shrivastava (IRPS, 2025)

Exploiting the Presence of Abundant Zero Data to Improve NVM Lifespan. - Arijit Nath; Harsh Raj (ISQED, 2025)

Cascaded Channel Statistics and Target Detection Analysis for IRS-Assisted ISAC Employing NOMA. - Harsh Raj; B. R. Manoj (NCC, 2025)

Improving Consistency in Large Language Models through Chain of Guidance. - Harsh Raj; Vipul Gupta; Domenic Rosati; Subhabrata Majumdar (Trans. Mach. Learn. Res., 2025)