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Harsh Raj
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2020 – today
- 2026
[j6]Harsh Raj, Gopa Bhaumik:
A comprehensive survey of image steganography: From traditional vision techniques to deep learning paradigms - Trends, challenges, and applications. Comput. Sci. Rev. 60: 100892 (2026)
[j5]Ishaan Agrawal
, Harsh Raj
, B. R. Manoj
:
NOMA-Assisted ISAC System: Downlink and Uplink Performance in Rician Fading Channels. IEEE Trans. Cogn. Commun. Netw. 12: 3073-3087 (2026)
[j4]Huu Nguyen, Victor May, Harsh Raj, Marianna Nezhurina, Yishan Wang, Yanqi Luo, Minh Chien Vu, Taishi Nakamura, Ken Tsui, Van Khue Nguyen, David Salinas, Aleksandra Krasnodebska, Christoph Schuhmann, Mats Leon Richter, Xuan-Son Vu, Jenia Jitsev:
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources. Trans. Mach. Learn. Res. 2026 (2026)
[i14]Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang
, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan
, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson
, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt:
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR abs/2601.11868 (2026)
[i13]Harsh Raj, Niranjan Orkat, Suvrorup Mukherjee, Aritra Guha, Cheryl J. Flynn, Subhabrata Majumdar:
Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability. CoRR abs/2605.10516 (2026)
[i12]Negin Raoof, Richard Zhuang, Marianna Nezhurina, Etash Kumar Guha, Atula Tejaswi, Ryan Marten, Charlie F. Ruan, Tyler Griggs, Alexander Glenn Shaw, Hritik Bansal, Estefany Kelly Buchanan, Artem Gazizov, Reinhard Heckel, Chinmay Hegde, Sankalp Jajee, Daanish Khazi, Emmanouil Koukoumidis, Xiangyi Li, Hange Liu, Shlok Natarajan, Harsh Raj, Nicholas Roberts, Ethan Shen, Nishad Singhi, Michael Siu, Ashima Suvarna, Hanwen Xing, Patrick Yubeaton, Robert Zhang, Leon Liangyu Chen, Xiaokun Chen, Steven Dillmann, Saadia Gabriel, Xunyi Jiang, Anurag Kashyap, Boxuan Li, Yein Park, Minh Pham, Sujay Sanghavi, Lin Shi, Ke Sun, Yixin Wang, Zhiwei Xu, Erica Zhang, Siyan Zhao, Wanjia Zhao, Jenia Jitsev, Alex Dimakis, Benjamin Feuer, Ludwig Schmidt:
OpenThoughts-Agent: Data Recipes for Agentic Models. CoRR abs/2606.24855 (2026)- 2025
[j3]Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar:
Improving Consistency in Large Language Models through Chain of Guidance. Trans. Mach. Learn. Res. 2025 (2025)
[c14]Susmita Sain, Vaibhav Vaibhav, Harsh Raj, Sudip Biswas:
Joint Beamforming and Amplification via Nested SCA in Active RIS-assisted NOMA-ISAC Systems. ANTS 2025: 1-6
[c13]Manu Joseph
, Harsh Raj
:
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features for Tabular Data. CODS 2025: 35-51
[c12]Jasjappan Singh, Pramod Maurya, A. S. Gaur, Gaurang Tari, Pratibha Bachhley, Fabian Savio de Sa, Harsh Raj, Yogesh Agarwadekar:
Neural Radiance Fields, Gaussian Splatting and its Applications in Underwater Archaeology. CVMI 2025: 1-7
[c11]Harsh Raj, Mayank Shrivastava:
First Observations and Physical Insights of the Dynamic Breakdown Voltage and Overvoltage Margin Under Pulsed Conditions in β-Ga2O3Based Devices. IRPS 2025: 1-4
[c10]Arijit Nath, Harsh Raj:
Exploiting the Presence of Abundant Zero Data to Improve NVM Lifespan. ISQED 2025: 1-6
[c9]Harsh Raj, B. R. Manoj:
Cascaded Channel Statistics and Target Detection Analysis for IRS-Assisted ISAC Employing NOMA. NCC 2025: 1-6
[i11]Harsh Raj, Vipul Gupta, Domenic Rosati, Subhabrata Majumdar
:
Improving Consistency in Large Language Models through Chain of Guidance. CoRR abs/2502.15924 (2025)
[i10]Huu Nguyen, Victor May, Harsh Raj, Marianna Nezhurina, Yishan Wang, Yanqi Luo, Minh Chien Vu, Taishi Nakamura, Ken Tsui, Van Khue Nguyen, David Salinas, Aleksandra Krasnodebska, Christoph Schuhmann, Mats Leon Richter, Xuan-Son Vu, Jenia Jitsev:
MixtureVitae: Open Web-Scale Pretraining Dataset With High Quality Instruction and Reasoning Data Built from Permissive-First Text Sources. CoRR abs/2509.25531 (2025)
[i9]Siddhartha Mahajan, Harsh Raj, Sonam Tanwar:
Analysis of Traffic Congestion in North Campus, Delhi University Using Continuous Time Models. CoRR abs/2511.06921 (2025)- 2024
[c8]Harsh Raj, Ugrasen Singh
, B. R. Manoj:
On the Performance of IRS-Assisted SSK and RPM over Rician Fading Channels. VTC Spring 2024: 1-5
[i8]Harsh Raj, Ugrasen Singh
, B. R. Manoj:
On the Performance of IRS-Assisted SSK and RPM over Rician Fading Channels. CoRR abs/2404.07044 (2024)
[i7]Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov, Subhabrata Majumdar
, Janarthanan Rajendran, Frank Rudzicz, Hassan Sajjad:
Defending against Reverse Preference Attacks is Difficult. CoRR abs/2409.12914 (2024)- 2023
[j2]Brijesh Kumar Chaurasia
, Harsh Raj, Shreya Singh Rathour, Piyush Bhushan Singh:
Transfer learning-driven ensemble model for detection of diabetic retinopathy disease. Medical Biol. Eng. Comput. 61(8): 2033-2049 (2023)
[c7]Hrishikesh Bodkhe
, Harsh Raj
, Deepak Kumar
, Nitesh Wadhavinde
, Neeraj Goel
, Mukesh Saini
:
Anomaly Detection Across Multiple Farms Through Remote Sensing. CVIP (2) 2023: 503-514
[c6]Vishnuvajjhula Pranav Sai, Harsh Raj
:
Reducing Cloud Workload Costs in Geographically Distributed Data Centers with GeoSched. ICCCNT 2023: 1-8
[c5]Harsh Raj, Vipin Joshi, Rajarshi Roy Chaudhuri, Rasik Rashid Malik
, Mayank Shrivastava:
Physical Insights into the DC and Transient Reverse Bias Reliability of β-Ga2O3 Based Vertical Schottky Barrier Diodes. IRPS 2023: 1-4
[c4]Laura Fee Nern, Harsh Raj, Maurice André Georgi, Yash Sharma:
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks. NeurIPS 2023
[i6]Harsh Raj, Vipul Gupta
, Domenic Rosati, Subhabrata Majumdar
:
Semantic Consistency for Assuring Reliability of Large Language Models. CoRR abs/2308.09138 (2023)- 2022
[c3]Sinchani Chakraborty, Harsh Raj, Srishti Gureja, Tanmay Jain, Atif Hassan, Sayantan Basu:
Evaluating the Robustness of Biomedical Concept Normalization. TL4NLP 2022: 63-73
[i5]Manu Joseph, Harsh Raj:
GATE: Gated Additive Tree Ensemble for Tabular Classification and Regression. CoRR abs/2207.08548 (2022)
[i4]Manu Joseph, Harsh Raj, Anubhav Yadav, Aaryamann Sharma:
AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language. CoRR abs/2210.08532 (2022)
[i3]Harsh Raj, Domenic Rosati, Subhabrata Majumdar
:
Measuring Reliability of Large Language Models through Semantic Consistency. CoRR abs/2211.05853 (2022)- 2021
[j1]Satya Prakash Singh
, Siuli Mukhopadhyay, Harsh Raj:
Min-max crossover designs for two treatments binary and poisson crossover trials. Stat. Comput. 31(5): 54 (2021)
[c2]Punam Prabha, Yash Janoria, Harsh Raj, Uday Patidar, Kakali Chatterjee:
Medical Image Protection Using Blockchain for E-healthcare System. FICTA (2) 2021: 161-170
[i2]Praveen S. V, Akhilesh Bharadwaj, Harsh Raj, Janhavi Dadhania, Ganesh Samarth C. A., Nikhil Pareek, S. R. M. Prasanna:
Exploration of Visual Features and their weighted-additive fusion for Video Captioning. CoRR abs/2101.05806 (2021)
[i1]Harsh Raj, Janhavi Dadhania, Akhilesh Bhardwaj:
Multi-Image Visual Question Answering. CoRR abs/2112.13706 (2021)- 2020
[c1]Harsh Raj, Suvodip Dey, Hiransh Gupta, P. K. Srijith
:
Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel. ICONIP (5) 2020: 370-377
Coauthor Index

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last updated on 2026-07-11 00:43 CEST by the dblp team
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