Vaibhav Kumar

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 98

Top Venues

CoRR

IEEE Trans. Veh. Technol.

GLOBECOM

IEEE Wirel. Commun. Lett.

Publications

Abhishek Kuriyal, Vaibhav Kumar
Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization. CoRR (2024)
Vipul Bhadani, Abhilash Singh, Vaibhav Kumar, Kumar Gaurav
Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction. Environ. Model. Softw. 175 (2024)
Ahmed Magbool, Vaibhav Kumar, Qingqing Wu, Marco Di Renzo, Mark F. Flanagan
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities. CoRR (2024)
Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar, Faysal Hossain Shezan, Vaibhav Kumar, Vinija Jain, Aman Chadha
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models. CoRR (2024)
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. NAACL-HLT (2024)
Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. SN Comput. Sci. 5 (3) (2024)
Rishi Gupta, Vaibhav Kumar
Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning. Tiny Papers @ ICLR (2024)
Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav
AutoML-GWL: Automated machine learning model for the prediction of groundwater level. Eng. Appl. Artif. Intell. 127 (Part B) (2024)
Gulroz Singh, Ankit Hegde, Vaibhav Kumar
Unified Functional Safety Framework for advance multi-domain SoCs combining ISO 26262 & IEC61508. VTS (2024)
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara
Controlled Text Generation with Hidden Representation Transformations. CoRR (2023)
Ayush Dabra, Vaibhav Kumar
Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning. Neural Comput. Appl. 35 (16) (2023)
Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. IEEE Trans. Veh. Technol. 72 (9) (2023)
Abhishek Kuriyal, Vaibhav Kumar
pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization. Tiny Papers @ ICLR (2023)
Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst, Le-Nam Tran, Mark F. Flanagan
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication. GLOBECOM (2023)
Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan
On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications. ICC (2023)
Vaibhav Kumar, Anastasios Papazafeiropoulos, Muhammad Fainan Hanif, Le-Nam Tran, Mark F. Flanagan
A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting. VTC2023-Spring (2023)
Vaibhav Kumar, Rui Zhang, Marco Di Renzo, Le-Nam Tran
A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink. IEEE Wirel. Commun. Lett. 12 (2) (2023)
Arkapal Panda, Tanmay Basu, Vaibhav Kumar
AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION. Tiny Papers @ ICLR (2023)
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara
Controlled Text Generation with Hidden Representation Transformations. ACL (Findings) (2023)
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects. CoRR (2023)
Fei Su, Meirav Nitzan, Ankush Sethi, Vaibhav Kumar, Dan Alexandrescu
Innovation Practices Track: VLSI Functional Safety. VTS (2023)
Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation. CoRR (2023)
Yash Jakhotiya, Vaibhav Kumar, Ashwin Pathak, Raj Shah
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning. SemEval@NAACL (2022)
Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel. IEEE Wirel. Commun. Lett. 11 (2) (2022)
Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. CoRR (2022)
Vinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky
An Empirical study to understand the Compositional Prowess of Neural Dialog Models. Insights@ACL (2022)
Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. GLOBECOM (2022)
Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System With Intelligent Reflecting Surface. IEEE Wirel. Commun. Lett. 11 (8) (2022)
Ashwin Pathak, Raj Shah, Vaibhav Kumar, Yash Jakhotiya
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning. CoRR (2022)
Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng, Le-Nam Tran
On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels. VTC Fall (2022)
Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels. CoRR (2021)
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
On the Effective Rate of NOMA in Underlay Spectrum Sharing. IEEE Trans. Veh. Technol. 70 (11) (2021)
Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI: Invited Paper. ICT (2021)
Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel. CoRR (2021)
Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access. CoRR (2021)
Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran
On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel. GLOBECOM (2021)
Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI. CoRR (2021)
Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels. MILCOM (2021)
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
On the Effective Rate of NOMA in Underlay Spectrum Sharing. CoRR (2021)
Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran
On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel. CoRR (2021)
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings. CoRR (2021)
Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface. CoRR (2021)
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
On the Performance of Downlink NOMA in Underlay Spectrum Sharing. IEEE Trans. Veh. Technol. 70 (5) (2021)
Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal
Database intrusion detection using role and user behavior based risk assessment. J. Inf. Secur. Appl. 55 (2020)
Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings. CoRR (2020)
Vaibhav Kumar, Vikas Raunak, Jamie Callan
Ranking Clarification Questions via Natural Language Inference. CoRR (2020)
Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan
CAsT-19: A Dataset for Conversational Information Seeking. SIGIR (2020)
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. ICC (2020)
Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. CoRR (2020)
Vaibhav Kumar, Jamie Callan
Making Information Seeking Easier: An Improved Pipeline for Conversational Search. EMNLP (Findings) (2020)
Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar
ATT: Attention-based Timbre Transfer. IJCNN (2020)
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
On the performance of downlink NOMA in underlay spectrum sharing. CoRR (2020)
Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings. Trans. Assoc. Comput. Linguistics 8 (2020)
Urvashi Karnani Gaur, D. D. Sonvane, Vaibhav Kumar, Rajesh Kalmady
SANMAN-Management Software for Hyperscale SAN based storage system. ICCCNT (2020)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
NOMA-Based Cooperative Relaying With Receive Diversity in Nakagami-m Fading Channels. IEEE Open J. Commun. Soc. 1 (2020)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels. CoRR (2020)
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
Delay Violation Probability and Effective Rate of Downlink NOMA Over $\alpha$-$\mu$ Fading Channels. IEEE Trans. Veh. Technol. 69 (10) (2020)
Vaibhav Kumar, Vikas Raunak, Jamie Callan
Ranking Clarification Questions via Natural Language Inference. CIKM (2020)
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
Effective Rate of Downlink NOMA over k-μ Shadowed Fading with Integer Fading Parameters. ICC Workshops (2020)
Vaibhav Kumar, Alan W. Black
ClarQ: A large-scale and diverse dataset for Clarification Question Generation. CoRR (2020)
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
Delay Violation Probability and Effective Rate of Downlink NOMA over α-μ Fading Channels. CoRR (2020)
Vaibhav Kumar, Alan W. Black
ClarQ: A large-scale and diverse dataset for Clarification Question Generation. ACL (2020)
Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze
On Dimensional Linguistic Properties of the Word Embedding Space. RepL4NLP@ACL (2020)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Performance Analysis of NOMA-Based Cooperative Relaying in alpha-µ Fading Channels. ICC (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint. IEEE Trans. Commun. 67 (12) (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
User-Antenna Selection for Physical-Layer Network Coding based on Euclidean Distance. CoRR (2019)
Vaibhav Kumar, Jamie Callan
A Step towards Context Identification for Conversational Search. TREC (2019)
Vikas Raunak, Vaibhav Kumar, Florian Metze
On Compositionality in Neural Machine Translation. CoRR (2019)
Sourya Dipta Das, Himanshu Ladia, Vaibhav Kumar, Shivansh Mishra
Writer Independent Offline Signature Recognition Using Ensemble Learning. CoRR (2019)
Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze
On Dimensional Linguistic Properties of the Word Embedding Space. CoRR (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
On the Performance of NOMA-based Cooperative Relaying with Receive Diversity. CoRR (2019)
Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana
Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai. ICTD (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
User-Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. IEEE Trans. Commun. 67 (5) (2019)
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn
De-Mixing Sentiment from Code-Mixed Text. ACL (2) (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint. CoRR (2019)
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers. CoRR (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels. CoRR (2019)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying. GLOBECOM Workshops (2018)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying. CoRR (2018)
Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation. CIKM (2018)
Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. CIKM Workshops (2018)
Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation. CIKM (2018)
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. SIGIR (2018)
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. CoRR (2018)
Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma
Neural Content-Collaborative Filtering for News Recommendation. NewsIR@ECIR (2018)
Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma
Check It Out : Politics and Neural Networks. CLEF (Working Notes) (2018)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. CoRR (2017)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance. GLOBECOM (2017)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Physical-Layer Network Coding with Multiple Antennas: An Enabling Technology for Smart Cities. CoRR (2017)
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
Physical-layer network coding with multiple antennas: An enabling technology for smart cities. PIMRC (2017)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation. ICDM Workshops (2017)
Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma
Leveraging Moderate User Data for News Recommendation. ICDM Workshops (2017)
Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar
A Neural Clickbait Detection Engine. CoRR (2017)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
Deep Neural Architecture for News Recommendation. CLEF (Working Notes) (2017)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
User Profiling Based Deep Neural Network for Temporal News Recommendation. ICDM Workshops (2017)
Deep Chandra Kandpal, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing. CrownCom (2016)
Vaibhav Kumar, Deep Chandra Kandpal, Ranjan Gangopadhyay, Soumitra Debnath
Amplify-and-forward relay based spectrum sensing with generalized selection combining. PIMRC (2016)
Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
A simulation framework for capacity analysis in TV white space. APCC (2016)
Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
Improved p-norm energy detector in Generalized κ-μ fading channel for spectrum sensing in cognitive radio. ICCSPA (2015)
Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
Cooperative Spectrum Sensing using Improved p-norm Detector in Generalized κ - μ Fading Channel. CrownCom (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vaibhav Kumar