An overview and behavioral modeling of higher order multi-bit SigmaDelta A/D converters. - Vaibhav Kumar; Degang Chen 001 (EIT, 2008)

Improved p -norm Energy Detector in AWGN Channel for Spectrum Sensing in Cognitive Radio. - Vaibhav Kumar; Monika Jain; Ranjan Gangopadhyay; Soumitra Debnath (WICON, 2014)

Cooperative Spectrum Sensing using Improved p-norm Detector in Generalized κ - μ Fading Channel. - Monika Jain; Vaibhav Kumar; Ranjan Gangopadhyay; Soumitra Debnath (CrownCom, 2015)

Improved p-norm energy detector in Generalized κ-μ fading channel for spectrum sensing in cognitive radio. - Monika Jain; Vaibhav Kumar; Ranjan Gangopadhyay; Soumitra Debnath (ICCSPA, 2015)

A simulation framework for capacity analysis in TV white space. - Monika Jain; Vaibhav Kumar; Ranjan Gangopadhyay; Soumitra Debnath (APCC, 2016)

Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing. - Deep Chandra Kandpal; Vaibhav Kumar; Ranjan Gangopadhyay; Soumitra Debnath (CrownCom, 2016)

Amplify-and-forward relay based spectrum sensing with generalized selection combining. - Vaibhav Kumar; Deep Chandra Kandpal; Ranjan Gangopadhyay; Soumitra Debnath (PIMRC, 2016)

Deep Neural Architecture for News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (CLEF (Working Notes), 2017)

Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (GLOBECOM, 2017)

Leveraging Moderate User Data for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Vasudeva Varma (ICDM Workshops, 2017)

User Profiling Based Deep Neural Network for Temporal News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (ICDM Workshops, 2017)

Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. - Vaibhav Kumar; Dhruv Khattar; Shashank Gupta 001; Vasudeva Varma (ICDM Workshops, 2017)

Physical-layer network coding with multiple antennas: An enabling technology for smart cities. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (PIMRC, 2017)

A Neural Clickbait Detection Engine. - Siddhartha Gairola; Yash Kumar Lal; Vaibhav Kumar; Dhruv Khattar (CoRR, 2017)

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. - Dhruv Khattar; Vaibhav Kumar; Shashank Gupta 001; Manish Gupta 001; Vasudeva Varma (CIKM Workshops, 2018)

HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Vasudeva Varma; Manish Gupta 001 (CIKM, 2018)

Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Vasudeva Varma; Manish Gupta 001 (CIKM, 2018)

Check It Out : Politics and Neural Networks. - Yash Kumar Lal; Dhruv Khattar; Vaibhav Kumar; Abhimanshu Mishra; Vasudeva Varma (CLEF (Working Notes), 2018)

Neural Content-Collaborative Filtering for News Recommendation. - Dhruv Khattar; Vaibhav Kumar; Manish Gupta 001; Vasudeva Varma (NewsIR@ECIR, 2018)

Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (GLOBECOM Workshops, 2018)

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. - Vaibhav Kumar; Dhruv Khattar; Siddhartha Gairola; Yash Kumar Lal; Vasudeva Varma (SIGIR, 2018)

SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. - Vaibhav Kumar; Mrinal Dhar; Dhruv Khattar; Yash Kumar Lal; Abhimanshu Mishra; Manish Shrivastava 001; Vasudeva Varma (CoRR, 2018)

De-Mixing Sentiment from Code-Mixed Text. - Yash Kumar Lal; Vaibhav Kumar; Mrinal Dhar; Manish Shrivastava 001; Philipp Koehn (ACL (2), 2019)

Performance Analysis of NOMA-Based Cooperative Relaying in alpha-µ Fading Channels. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (ICC, 2019)

Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai. - Vaibhav Kumar; Krithivasan Ramamritham; Arnab Jana (ICTD, 2019)

A Step towards Context Identification for Conversational Search. - Vaibhav Kumar; Jamie Callan (TREC, 2019)

Writer Independent Offline Signature Recognition Using Ensemble Learning. - Sourya Dipta Das; Himanshu Ladia; Vaibhav Kumar; Shivansh Mishra (CoRR, 2019)

On the Performance of NOMA-based Cooperative Relaying with Receive Diversity. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (CoRR, 2019)

Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (CoRR, 2019)

On Compositionality in Neural Machine Translation. - Vikas Raunak; Vaibhav Kumar; Florian Metze (CoRR, 2019)

User-Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (IEEE Trans. Commun., 2019)

Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (IEEE Trans. Commun., 2019)

ClarQ: A large-scale and diverse dataset for Clarification Question Generation. - Vaibhav Kumar; Alan W. Black (ACL, 2020)

Ranking Clarification Questions via Natural Language Inference. - Vaibhav Kumar; Vikas Raunak; Jamie Callan (CIKM, 2020)

Making Information Seeking Easier: An Improved Pipeline for Conversational Search. - Vaibhav Kumar; Jamie Callan (EMNLP (Findings), 2020)

Effective Rate of Downlink NOMA over k-μ Shadowed Fading with Integer Fading Parameters. - Vaibhav Kumar; Barry Cardiff; Shankar Prakriya; Mark F. Flanagan (ICC Workshops, 2020)

Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. - Vaibhav Kumar; Barry Cardiff; Shankar Prakriya; Mark F. Flanagan (ICC, 2020)

SANMAN-Management Software for Hyperscale SAN based storage system. - Urvashi Karnani Gaur; D. D. Sonvane; Vaibhav Kumar; Rajesh Kalmady (ICCCNT, 2020)

ATT: Attention-based Timbre Transfer. - Deepak Kumar Jain 001; Akshi Kumar 001; Linqin Cai; Siddharth Singhal; Vaibhav Kumar (IJCNN, 2020)

On Dimensional Linguistic Properties of the Word Embedding Space. - Vikas Raunak; Vaibhav Kumar; Vivek Gupta 001; Florian Metze (RepL4NLP@ACL, 2020)

CAsT-19: A Dataset for Conversational Information Seeking. - Jeffrey Dalton 001; Chenyan Xiong; Vaibhav Kumar; Jamie Callan (SIGIR, 2020)

Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings. - Vaibhav Kumar; Tenzin Singhay Bhotia; Vaibhav Kumar (CoRR, 2020)

Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings. - Vaibhav Kumar; Tenzin Singhay Bhotia; Vaibhav Kumar (CoRR, 2020)

Database intrusion detection using role and user behavior based risk assessment. - Indu Singh; Narendra Kumar; Srinivasa K. G. 001; Tript Sharma; Vaibhav Kumar; Siddharth Singhal (J. Inf. Secur. Appl., 2020)

NOMA-Based Cooperative Relaying With Receive Diversity in Nakagami-m Fading Channels. - Vaibhav Kumar; Barry Cardiff; Mark F. Flanagan (IEEE Open J. Commun. Soc., 2020)

Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. - Vaibhav Kumar; Tenzin Singhay Bhotia; Tanmoy Chakraborty 002 (Trans. Assoc. Comput. Linguistics, 2020)

Delay Violation Probability and Effective Rate of Downlink NOMA Over α-μ Fading Channels. - Vaibhav Kumar; Barry Cardiff; Shankar Prakriya; Mark F. Flanagan (IEEE Trans. Veh. Technol., 2020)

On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel. - Vaibhav Kumar; Mark F. Flanagan; Derrick Wing Kwan Ng; Le-Nam Tran (GLOBECOM, 2021)

On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI: Invited Paper. - Vaibhav Kumar; Mark F. Flanagan; Daniel Benevides da Costa; Le-Nam Tran (ICT, 2021)

Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels. - Anshu Mukherjee; Vaibhav Kumar; Le-Nam Tran (MILCOM, 2021)

On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI. - Vaibhav Kumar; Mark F. Flanagan; Daniel Benevides da Costa; Le-Nam Tran (CoRR, 2021)

Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings. - Vaibhav Kumar; Tenzin Singhay Bhotia; Tanmoy Chakraborty 002 (CoRR, 2021)

On the Performance of Downlink NOMA in Underlay Spectrum Sharing. - Vaibhav Kumar; Zhiguo Ding 001; Mark F. Flanagan (IEEE Trans. Veh. Technol., 2021)

On the Effective Rate of NOMA in Underlay Spectrum Sharing. - Vaibhav Kumar; Zhiguo Ding 001; Mark F. Flanagan (IEEE Trans. Veh. Technol., 2021)

An Empirical study to understand the Compositional Prowess of Neural Dialog Models. - Vinayshekhar Bannihatti Kumar; Vaibhav Kumar; Mukul Bhutani; Alexander Rudnicky (Insights@ACL, 2022)

On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. - Muhammad Farooq 002; Vaibhav Kumar; Markku J. Juntti; Le-Nam Tran (GLOBECOM, 2022)

JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning. - Yash Jakhotiya; Vaibhav Kumar; Ashwin Pathak; Raj Shah (SemEval@NAACL, 2022)

On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels. - Anshu Mukherjee; Vaibhav Kumar; Derrick Wing Kwan Ng; Le-Nam Tran (VTC Fall, 2022)

Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System With Intelligent Reflecting Surface. - Vaibhav Kumar; Mark F. Flanagan; Rui Zhang 006; Le-Nam Tran (IEEE Wirel. Commun. Lett., 2022)

On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel. - Anshu Mukherjee; Vaibhav Kumar; Eduard A. Jorswieck; Björn E. Ottersten; Le-Nam Tran (IEEE Wirel. Commun. Lett., 2022)

Controlled Text Generation with Hidden Representation Transformations. - Vaibhav Kumar; Hana Koorehdavoudi; Masud Moshtaghi; Amita Misra; Ankit Chadha; Emilio Ferrara (ACL (Findings), 2023)

SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication. - Vaibhav Kumar; Marwa Chafii; A. Lee Swindlehurst; Le-Nam Tran; Mark F. Flanagan (GLOBECOM, 2023)

On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications. - Ahmed Magbool; Vaibhav Kumar; Mark F. Flanagan (ICC, 2023)

pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization. - Abhishek Kuriyal; Vaibhav Kumar (Tiny Papers @ ICLR, 2023)

AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION. - Arkapal Panda; Tanmay Basu; Vaibhav Kumar (Tiny Papers @ ICLR, 2023)

A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting. - Vaibhav Kumar; Anastasios K. Papazafeiropoulos; Muhammad Fainan Hanif; Le-Nam Tran; Mark F. Flanagan (VTC2023-Spring, 2023)

Innovation Practices Track: VLSI Functional Safety. - Fei Su; Meirav Nitzan; Ankush Sethi; Vaibhav Kumar; Dan Alexandrescu (VTS, 2023)

A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink. - Vaibhav Kumar; Rui Zhang 006; Marco Di Renzo; Le-Nam Tran (IEEE Wirel. Commun. Lett., 2023)

Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. - Ayush Dabra; Vaibhav Kumar (Neural Comput. Appl., 2023)

A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. - Vaibhav Kumar; Muhammad Fainan Hanif; Markku J. Juntti; Le-Nam Tran (IEEE Trans. Veh. Technol., 2023)

Building Usage Classification in Indian Cities: Utilizing Street View Images and Object Detection Models. - Yamini Sahu; Vasu Dhull; Satyajeet Shashwat; Vaibhav Kumar (ACCV Workshops (2), 2024)

Spatial Clustering and Machine Learning for Crime Prediction: A Case Study on Women Safety in Bhopal. - Yamini Sahu; Vaibhav Kumar (ACCV Workshops (2), 2024)

MRI-Based Brain Tumour Detection Utilizing Machine Learning and Deep Learning Techniques. - Lipsa Das; Akanksha Singh; Durgesh Kumar Jha; Vaibhav Kumar; Pradeep Kumar Kushwaha (IC3I, 2024)

Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning. - Rishi Gupta; Vaibhav Kumar (Tiny Papers @ ICLR, 2024)

Deep Learning-Based Building Footprint Extraction from UAV Acquired Fused Spectral and Elevation Information. - Mohit Limba; Vaibhav Kumar (ICPR (Workshops and Challenges, 4), 2024)

Generation of Dense Urban Features Using Conditional GANs. - Anurag Nihal; Vaibhav Kumar (ICPR (Workshops and Challenges, 4), 2024)

Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. - Trevor Ashby; Adithya Kulkarni; Jingyuan Qi; Minqian Liu; Eunah Cho; Vaibhav Kumar; Lifu Huang (INLG, 2024)

Planning and Editing What You Retrieve for Enhanced Tool Learning. - Tenghao Huang; Dongwon Jung; Vaibhav Kumar; Mohammad Kachuee; Xiang Li 069; Puyang Xu; Muhao Chen 001 (NAACL-HLT (Findings), 2024)

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. - Minqian Liu; Ying Shen 006; Zhiyang Xu; Yixin Cao 002; Eunah Cho; Vaibhav Kumar; Reza Ghanadan; Lifu Huang (NAACL-HLT, 2024)

Unified Functional Safety Framework for advance multi-domain SoCs combining ISO 26262 & IEC61508. - Gulroz Singh; Ankit Hegde; Vaibhav Kumar (VTS, 2024)

A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities. - Ahmed Magbool; Vaibhav Kumar; Qingqing Wu 001; Marco Di Renzo; Mark F. Flanagan (CoRR, 2024)

Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization. - Abhishek Kuriyal; Vaibhav Kumar (CoRR, 2024)

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. - Arijit Ghosh Chowdhury; Md Mofijul Islam; Vaibhav Kumar; Faysal Hossain Shezan; Vaibhav Kumar; Vinija Jain; Aman Chadha (CoRR, 2024)

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. - Arijit Ghosh Chowdhury; Md Mofijul Islam; Vaibhav Kumar; Faysal Hossain Shezan; Vaibhav Kumar; Vinija Jain; Aman Chadha (CoRR, 2024)

PAFFA: Premeditated Actions For Fast Agents. - Shambhavi Krishna; Zheng Chen; Vaibhav Kumar; Xiaojiang Huang; Yingjie Li; Fan Yang; Xiang Li (CoRR, 2024)

Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. - Vipul Bhadani; Abhilash Singh; Vaibhav Kumar; Kumar Gaurav (Environ. Model. Softw., 2024)

INFED: Enhancing fire evacuation dynamics through 3D congestion-aware indoor navigation framework. - Ritik Bhardwaj; Arpita Bhargava; Vaibhav Kumar (Simul. Model. Pract. Theory, 2024)

AutoML-GWL: Automated machine learning model for the prediction of groundwater level. - Abhilash Singh; Sharad Patel; Vipul Bhadani; Vaibhav Kumar; Kumar Gaurav (Eng. Appl. Artif. Intell., 2024)

pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. - Abhishek Kuriyal; Vaibhav Kumar; Bharat Lohani (SN Comput. Sci., 2024)

Powerline extraction from aerial and mobile LiDAR data using deep learning. - Vaibhav Kumar; Aritra Nandy; Vishal Soni; Bharat Lohani (Earth Sci. Informatics, 2024)

Improving Tool Retrieval by Leveraging Large Language Models for Query Generation. - Mohammad Kachuee; Sarthak Ahuja; Vaibhav Kumar; Puyang Xu; Xiaohu Liu (COLING (Industry), 2025)

Optimal Beamforming Design for ISAC with Sensor-Aided Active RIS. - Ahmed Magbool; Vaibhav Kumar; Mark F. Flanagan (WCNC, 2025)

Multi-Functional RIS for a Multi-Functional System: Integrating Sensing, Communication, and Wireless Power Transfer. - Ahmed Magbool; Vaibhav Kumar; Ahmad Bazzi; Mark F. Flanagan; Marwa Chafii (IEEE Netw., 2025)

Robust Beamforming Design for Fairness-Aware Energy Efficiency Maximization in RIS-Assisted mmWave Communications. - Ahmed Magbool; Vaibhav Kumar; Mark F. Flanagan (IEEE Trans. Commun., 2025)