Flower shaped antenna for terahertz applications. - Vaibhav Kathuria; Ankit Yadav; Aquib Malik; Umesh Kumar; Malay Ranjan Tripathy (WOCN, 2016)

Channel Selection for Secondary Users in Decentralized Network of Unknown Size. - Rohit Kumar 003; Sumit Jagdish Darak; Ankit Yadav; Ajay K. Sharma; Rajiv K. Tripathi (IEEE Commun. Lett., 2017)

Distributed algorithm for dynamic spectrum access in infrastructure-less cognitive radio network. - Himani Joshi; Rohit Kumar 003; Ankit Yadav; Sumit Jagdish Darak (WCNC, 2018)

Trekking based distributed algorithm for opportunistic spectrum access in infrastructure-less network. - Rohit Kumar 003; Ankit Yadav; Sumit Jagdish Darak; Manjesh Kumar Hanawal (WiOpt, 2018)

Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper). - Ankit Yadav; Dinesh Kumar Vishwakarma (BigMM, 2020)

Person Re-Identification using Deep Learning Networks: A Systematic Review. - Ankit Yadav; Dinesh Kumar Vishwakarma (CoRR, 2020)

The Bombay Stock Exchange SENSEX and foreign institutional investment in India: analysis. - Pooja Misra; Ankit Yadav; Arpit Kumar Parhi (Int. J. Serv. Technol. Manag., 2020)

Distributed Learning and Coordination in Cognitive Infrastructureless Networks of Unknown Size. - Rohit Kumar 003; Sumit Jagdish Darak; Manjesh Kumar Hanawal; Ankit Yadav (IEEE Syst. J., 2020)

Stationary Wavelet-Based Fusion Approach for Enhancement of Microscopy Images. - Disha Singh; Vikrant Bhateja; Ankit Yadav (FICTA (1), 2021)

LAHM : Large Annotated Dataset for Multilingual & Multi-Domain Hate Speech Identification. - Ankit Yadav; Shubham Chandel; Sushant Chatufale; Anil Bandhakavi (DE-FACTIFY@AAAI, 2022)

Email Phishing Detection Using AI and ML. - Sohan Sarkar; Ankit Yadav; T. Balachander (IconDeepCom (1), 2023)

LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification. - Ankit Yadav; Shubham Chandel; Sushant Chatufale; Anil Bandhakavi (CoRR, 2023)

MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection. - Ankit Yadav; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2023)

Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era. - Ankit Yadav; Vinay Sharma; Gaurav Raj; Tanupriya Choudhury; Ayan Sar; Ketan Kotecha; Turgut Ozseven (AICCONF, 2024)

Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models. - Himanshu Beniwal; Dishant Patel; Kowsik Nandagopan D; Hritik Ladia; Ankit Yadav; Mayank Singh 001 (EMNLP (Findings), 2024)

PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs. - Ankit Yadav; Himanshu Beniwal; Mayank Singh 001 (EMNLP (Findings), 2024)

Data Integrity and Cyberattack Detection using Dynamic Watermarking for Resilient Microgrids. - Pradeep Kumar Mallaiah; Ankit Yadav; Gelli Ravikumar (ISGT, 2024)

Boldly Going Where No Benchmark Has Gone Before: Exposing Bias and Shortcomings in Code Generation Evaluation. - Ankit Yadav; Mayank Singh 001 (CoRR, 2024)

A Visually Attentive Splice Localization Network with Multi-Domain Feature Extractor and Multi-Receptive Field Upsampler. - Ankit Yadav; Dinesh Kumar Vishwakarma (CoRR, 2024)

Towards Effective Image Forensics via A Novel Computationally Efficient Framework and A New Image Splice Dataset. - Ankit Yadav; Dinesh Kumar Vishwakarma (CoRR, 2024)

HumanPoseNet: An all-transformer architecture for pose estimation with efficient patch expansion and attentional feature refinement. - Varun Gupta; Ankit Yadav; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2024)

Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review. - Ankit Yadav; Dinesh Kumar Vishwakarma (Expert Syst. Appl., 2024)

Deep learning algorithms for person re-identification: sate-of-the-art and research challenges. - Ankit Yadav; Dinesh Kumar Vishwakarma (Multim. Tools Appl., 2024)

Uncovering visual attention-based multi-level tampering traces for face forgery detection. - Ankit Yadav; Dhruv Gupta; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2024)

AW-MSA: Adaptively weighted multi-scale attentional features for DeepFake detection. - Ankit Yadav; Dinesh Kumar Vishwakarma (Eng. Appl. Artif. Intell., 2024)

Toward effective image forensics via a novel computationally efficient framework and a new image splice dataset. - Ankit Yadav; Dinesh Kumar Vishwakarma (Signal Image Video Process., 2024)

Energy Efficient Voltage-Mode Simultaneous Bidirectional Transceiver for Serial Links. - Ankit Yadav; V. K. Surya; Sree Kumar R. G.; Bibhu Datta Sahoo 003; Nijwm Wary (ISCAS, 2025)

Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models. - Ankit Yadav; Lingqiao Liu; Yuankai Qi (CoRR, 2025)

ACD codes and cyclic codes over ${ mathbb {Z}}_2{ mathcal {R}}_k$. - Ankit Yadav; Vidya Sagar; Ritumoni Sarma (Comput. Appl. Math., 2025)

FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detection. - Varun Gupta; Vaibhav Srivastava; Ankit Yadav; Dinesh Kumar Vishwakarma; Narendra Kumar (Appl. Intell., 2025)