Vaibhav Kumar

According to our database, Vaibhav Kumar authored at least 78 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 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., January, 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

Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization.

Abhishek Kuriyal, Vaibhav Kumar

CoRR, 2024

A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities.

Ahmed Magbool, Vaibhav Kumar, Qingqing Wu, Marco Di Renzo, Mark F. Flanagan

CoRR, 2024

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., September, 2023

Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning.

Ayush Dabra, Vaibhav Kumar

Neural Comput. Appl., June, 2023

A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink.

Vaibhav Kumar, Rui Zhang, Marco Di Renzo, Le-Nam Tran

IEEE Wirel. Commun. Lett., 2023

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects.

Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang

CoRR, 2023

Innovation Practices Track: VLSI Functional Safety.

Fei Su, Meirav Nitzan, Ankush Sethi, Vaibhav Kumar, Dan Alexandrescu

Proceedings of the 41st IEEE VLSI Test Symposium, 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

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION.

Arkapal Panda, Tanmay Basu, Vaibhav Kumar

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization.

Abhishek Kuriyal, Vaibhav Kumar

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications.

Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan

Proceedings of the IEEE International Conference on Communications, 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

Proceedings of the IEEE Global Communications Conference, 2023

Controlled Text Generation with Hidden Representation Transformations.

Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System With Intelligent Reflecting Surface.

Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran

IEEE Wirel. Commun. Lett., 2022

On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels.

Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng, Le-Nam Tran

Proceedings of the 96th Vehicular Technology Conference, 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

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems.

Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran

Proceedings of the IEEE Global Communications Conference, 2022

An Empirical study to understand the Compositional Prowess of Neural Dialog Models.

Vinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

On the Effective Rate of NOMA in Underlay Spectrum Sharing.

Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan

IEEE Trans. Veh. Technol., 2021

On the Performance of Downlink NOMA in Underlay Spectrum Sharing.

Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan

IEEE Trans. Veh. Technol., 2021

Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings.

Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty

CoRR, 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

Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels.

Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran

Proceedings of the 2021 IEEE Military Communications Conference, 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

Proceedings of the 28th International Conference on Telecommunications, 2021

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

Proceedings of the IEEE Global Communications Conference, 2021

2020

Delay Violation Probability and Effective Rate of Downlink NOMA Over $\alpha$-$\mu$ Fading Channels.

Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan

IEEE Trans. Veh. Technol., 2020

Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings.

Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty

Trans. Assoc. Comput. Linguistics, 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

Database intrusion detection using role and user behavior based risk assessment.

Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal

J. Inf. Secur. Appl., 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

Delay Violation Probability and Effective Rate of Downlink NOMA over α-μ Fading Channels.

Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan

CoRR, 2020

CAsT-19: A Dataset for Conversational Information Seeking.

Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

On Dimensional Linguistic Properties of the Word Embedding Space.

Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

ATT: Attention-based Timbre Transfer.

Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SANMAN-Management Software for Hyperscale SAN based storage system.

Urvashi Karnani Gaur, D. D. Sonvane, Vaibhav Kumar, Rajesh Kalmady

Proceedings of the 11th International Conference on Computing, 2020

Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers.

Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Effective Rate of Downlink NOMA over k-μ Shadowed Fading with Integer Fading Parameters.

Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Making Information Seeking Easier: An Improved Pipeline for Conversational Search.

Vaibhav Kumar, Jamie Callan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Ranking Clarification Questions via Natural Language Inference.

Vaibhav Kumar, Vikas Raunak, Jamie Callan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

ClarQ: A large-scale and diverse dataset for Clarification Question Generation.

Vaibhav Kumar, Alan W. Black

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

User-Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

IEEE Trans. Commun., 2019

On Compositionality in Neural Machine Translation.

Vikas Raunak, Vaibhav Kumar, Florian Metze

CoRR, 2019

Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

CoRR, 2019

On the Performance of NOMA-based Cooperative Relaying with Receive Diversity.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

CoRR, 2019

Writer Independent Offline Signature Recognition Using Ensemble Learning.

Sourya Dipta Das, Himanshu Ladia, Vaibhav Kumar, Shivansh Mishra

CoRR, 2019

A Step towards Context Identification for Conversational Search.

Vaibhav Kumar, Jamie Callan

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai.

Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana

Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, 2019

Performance Analysis of NOMA-Based Cooperative Relaying in alpha-µ Fading Channels.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

Proceedings of the 2019 IEEE International Conference on Communications, 2019

De-Mixing Sentiment from Code-Mixed Text.

Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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, Vasudeva Varma

CoRR, 2018

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks.

Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

Proceedings of the IEEE Globecom Workshops, 2018

Neural Content-Collaborative Filtering for News Recommendation.

Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma

Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

Check It Out : Politics and Neural Networks.

Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma

Proceedings of the Working Notes of CLEF 2018, 2018

Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation.

Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

HRAM: A Hybrid Recurrent Attention Machine for News Recommendation.

Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

RARE : A Recurrent Attentive Recommendation Engine for News Aggregators.

Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

2017

A Neural Clickbait Detection Engine.

Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar

CoRR, 2017

Physical-layer network coding with multiple antennas: An enabling technology for smart cities.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation.

Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

User Profiling Based Deep Neural Network for Temporal News Recommendation.

Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Leveraging Moderate User Data for News Recommendation.

Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance.

Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Deep Neural Architecture for News Recommendation.

Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma

Proceedings of the Working Notes of CLEF 2017, 2017

2016

Amplify-and-forward relay based spectrum sensing with generalized selection combining.

Vaibhav Kumar, Deep Chandra Kandpal, Ranjan Gangopadhyay, Soumitra Debnath

Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing.

Deep Chandra Kandpal, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath

Proceedings of the Cognitive Radio Oriented Wireless Networks, 2016

A simulation framework for capacity analysis in TV white space.

Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath

Proceedings of the 2016 22nd Asia-Pacific Conference on Communications (APCC), 2016

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

Proceedings of the International Conference on Communications, 2015

Cooperative Spectrum Sensing using Improved p-norm Detector in Generalized κ - μ Fading Channel.

Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath

Proceedings of the Cognitive Radio Oriented Wireless Networks, 2015

2014

Improved p -norm Energy Detector in AWGN Channel for Spectrum Sensing in Cognitive Radio.

Vaibhav Kumar, Monika Jain, Ranjan Gangopadhyay, Soumitra Debnath

Proceedings of the Wireless Internet - 8th International Conference, 2014

2008

An overview and behavioral modeling of higher order multi-bit SigmaDelta A/D converters.

Vaibhav Kumar, Degang Chen

Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008