Vaibhav Kumar

134 papers A* 3A 3B 9C 2Misc 2Journal 73Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Design of Uplink ISAC Systems With Cooperative Sensing: Power Control and Receive Beamforming.
IEEE Trans. Wirel. Commun.
Ling He, Vaibhav Kumar, Roberto Bomfin, Yingyang Chen, Miaowen Wen, Marwa Chafii
2026 J jnl
Development and application of DAISY framework for benchmarking AI generated vs human-written abstracts in dental research.
Int. J. Medical Informatics
Varkey Nadakkavukaran Santhosh, Rhea Vas, Shreya S, Vaibhav Kumar, Kavitha Ragu, U. Venkatesh, Shruthi Bannur
2026 J jnl
Flexible Intelligent Metasurface for Downlink Communications Under Statistical CSI.
IEEE Wirel. Commun. Lett.
Vaibhav Kumar, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, John M. Senior, Marwa Chafii, Dimitra I. Kaklamani, Iakovos S. Venieris
2026 J jnl
Hiding in Plain Sight: RIS-Aided Target Obfuscation in ISAC.
IEEE Trans. Wirel. Commun.
Ahmed Magbool, Vaibhav Kumar, Marco Di Renzo, Mark F. Flanagan
2025 J jnl
A Data-Driven framework for pedestrian oriented route planning leveraging deep learning and spatial perception.
Int. J. Appl. Earth Obs. Geoinformation
Pyare Lal Chauhan, Tanishq Kumar Baswal, Vaibhav Kumar
2025 J jnl
A Survey on Integrated Sensing and Communication With Intelligent Metasurfaces: Trends, Challenges, and Opportunities.
IEEE Open J. Commun. Soc.
Ahmed Magbool, Vaibhav Kumar, Qingqing Wu, Marco Di Renzo, Mark F. Flanagan
2025 — conf
Achievable Sum Secrecy Rate of STAR-RIS-Enabled MU-MIMO ISAC.
ICC Workshops
Ainara Kazymova, Vaibhav Kumar, Christina Pöpper, Marwa Chafii
2025 J jnl
Beamforming Design for Secure RIS-Enabled ISAC: Passive RIS Versus Active RIS.
IEEE Trans. Wirel. Commun.
Vaibhav Kumar, Marwa Chafii
2025 J jnl
Deep Learning and Multi Source 2D and 3D Geospatial Data for Urban Quality of Life Assessment.
Int. J. Appl. Earth Obs. Geoinformation
Ayush Dabra, Pyare Lal, Vaibhav Kumar
2025 J jnl
Flexible Intelligent Metasurface for Downlink Communications under Statistical CSI.
CoRR
Vaibhav Kumar, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, John Senior, Marwa Chafii, Dimitra I. Kaklamani, Iakovos S. Venieris
2025 — conf
Green Integration of Sensing, Communication, and Power Transfer via STAR-RIS.
ICC
Vaibhav Kumar, Marwa Chafii
2025 — conf
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation.
COLING (Industry)
Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar, Puyang Xu, Xiaohu Liu
2025 J jnl
Multi-Functional RIS for a Multi-Functional System: Integrating Sensing, Communication, and Wireless Power Transfer.
IEEE Netw.
Ahmed Magbool, Vaibhav Kumar, Ahmad Bazzi, Mark F. Flanagan, Marwa Chafii
2025 B conf
Optimal Beamforming Design for ISAC with Sensor-Aided Active RIS.
WCNC
Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan
2025 J jnl
Point-pad: Point Cloud Upsampling with Kernel Representation and Attention.
Pattern Anal. Appl.
Sameer Verma, Vaibhav Kumar
2025 J jnl
Quantum-Resistant Authentication Scheme for RFID Systems Using Lattice-Based Cryptography.
CoRR
Vaibhav Kumar, Kaiwalya Joshi, Bhavya Dixit, Gaurav S. Kasbekar
2025 J jnl
RL-AD-Net: Reinforcement Learning Guided Adaptive Displacement in Latent Space for Refined Point Cloud Completion.
CoRR
Bhanu Pratap Paregi, Vaibhav Kumar
2025 J jnl
Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing.
CoRR
Suchetan G. Uppur, Hemant Kumar, Vaibhav Kumar
2025 J jnl
Robust Beamforming Design for Fairness-Aware Energy Efficiency Maximization in RIS-Assisted mmWave Communications.
IEEE Trans. Commun.
Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan
2025 J jnl
SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images.
CoRR
Pushpendra Dhakara, Prachi Chachodhia, Vaibhav Kumar
2025 J jnl
Urban multi-domain mixing (UMDMix) based unsupervised domain adaptation for LiDAR semantic segmentation.
Neurocomputing
Anurag Nihal, Pyare Lal, Vaibhav Kumar
2024 J jnl
A Survey on Integrated Sensing and Communication with Intelligent Metasurfaces: Trends, Challenges, and Opportunities.
CoRR
Ahmed Magbool, Vaibhav Kumar, Qingqing Wu, Marco Di Renzo, Mark F. Flanagan
2024 J jnl
AutoML-GWL: Automated machine learning model for the prediction of groundwater level.
Eng. Appl. Artif. Intell.
Abhilash Singh, Sharad Patel, Vipul Bhadani, Vaibhav Kumar, Kumar Gaurav
2024 J jnl
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models.
CoRR
Arijit Ghosh Chowdhury, Md Mofijul Islam, Vaibhav Kumar, Faysal Hossain Shezan, Vinija Jain, Aman Chadha
2024 — conf
Building Usage Classification in Indian Cities: Utilizing Street View Images and Object Detection Models.
ACCV Workshops (2)
Yamini Sahu, Vasu Dhull, Satyajeet Shashwat, Vaibhav Kumar
2024 — conf
Deep Learning-Based Building Footprint Extraction from UAV Acquired Fused Spectral and Elevation Information.
ICPR (Workshops and Challenges, 4)
Mohit Limba, Vaibhav Kumar
2024 — conf
Generation of Dense Urban Features Using Conditional GANs.
ICPR (Workshops and Challenges, 4)
Anurag Nihal, Vaibhav Kumar
2024 J jnl
INFED: Enhancing fire evacuation dynamics through 3D congestion-aware indoor navigation framework.
Simul. Model. Pract. Theory
Ritik Bhardwaj, Arpita Bhargava, Vaibhav Kumar
2024 J jnl
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation.
CoRR
Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar, Puyang Xu, Xiaohu Liu
2024 — conf
MRI-Based Brain Tumour Detection Utilizing Machine Learning and Deep Learning Techniques.
IC3I
Lipsa Das, Akanksha Singh, Durgesh Kumar Jha, Vaibhav Kumar, Pradeep Kumar Kushwaha
2024 J jnl
Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction.
Environ. Model. Softw.
Vipul Bhadani, Abhilash Singh, Vaibhav Kumar, Kumar Gaurav
2024 J jnl
PAFFA: Premeditated Actions For Fast Agents.
CoRR
Shambhavi Krishna, Zheng Chen, Vaibhav Kumar, Xiaojiang Huang, Yingjie Li, Fan Yang, Xiang Li
2024 — conf
Planning and Editing What You Retrieve for Enhanced Tool Learning.
NAACL-HLT (Findings)
Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen
2024 J jnl
Powerline extraction from aerial and mobile LiDAR data using deep learning.
Earth Sci. Informatics
Vaibhav Kumar, Aritra Nandy, Vishal Soni, Bharat Lohani
2024 — conf
Sound Classification in Indian Cities Using Multi-Label Data and Transfer Learning.
Tiny Papers @ ICLR
Rishi Gupta, Vaibhav Kumar
2024 — conf
Spatial Clustering and Machine Learning for Crime Prediction: A Case Study on Women Safety in Bhopal.
ACCV Workshops (2)
Yamini Sahu, Vaibhav Kumar
2024 B conf
Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation.
INLG
Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang
2024 J jnl
Towards Explainable LiDAR Point Cloud Semantic Segmentation via Gradient Based Target Localization.
CoRR
Abhishek Kuriyal, Vaibhav Kumar
2024 Misc conf
Unified Functional Safety Framework for advance multi-domain SoCs combining ISO 26262 & IEC61508.
VTS
Gulroz Singh, Ankit Hegde, Vaibhav Kumar
2024 — conf
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects.
NAACL-HLT
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
2024 J jnl
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation.
SN Comput. Sci.
Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani
2023 — conf
A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting.
VTC2023-Spring
Vaibhav Kumar, Anastasios K. Papazafeiropoulos, Muhammad Fainan Hanif, Le-Nam Tran, Mark F. Flanagan
2023 J jnl
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access.
IEEE Trans. Veh. Technol.
Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran
2023 J jnl
A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink.
IEEE Wirel. Commun. Lett.
Vaibhav Kumar, Rui Zhang, Marco Di Renzo, Le-Nam Tran
2023 — conf
AN ENSEMBLE LEARNING FRAMEWORK FOR VISIBILITY PREDICTION IN INDO-GANGETIC REGION.
Tiny Papers @ ICLR
Arkapal Panda, Tanmay Basu, Vaibhav Kumar
2023 — conf
Controlled Text Generation with Hidden Representation Transformations.
ACL (Findings)
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara
2023 J jnl
Controlled Text Generation with Hidden Representation Transformations.
CoRR
Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara
2023 J jnl
Evaluating green cover and open spaces in informal settlements of Mumbai using deep learning.
Neural Comput. Appl.
Ayush Dabra, Vaibhav Kumar
2023 Misc conf
Innovation Practices Track: VLSI Functional Safety.
VTS
Fei Su, Meirav Nitzan, Ankush Sethi, Vaibhav Kumar, Dan Alexandrescu
2023 — conf
On Energy Efficiency and Fairness Maximization in RIS-Assisted MU-MISO mmWave Communications.
ICC
Ahmed Magbool, Vaibhav Kumar, Mark F. Flanagan
2023 B conf
SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication.
GLOBECOM
Vaibhav Kumar, Marwa Chafii, A. Lee Swindlehurst, Le-Nam Tran, Mark F. Flanagan
2023 J jnl
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects.
CoRR
Minqian Liu, Ying Shen, Zhiyang Xu, Yixin Cao, Eunah Cho, Vaibhav Kumar, Reza Ghanadan, Lifu Huang
2023 J jnl
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation.
CoRR
Abhishek Kuriyal, Vaibhav Kumar, Bharat Lohani
2023 — conf
pGS-CAM: Interpretable LiDAR Point Cloud Semantic Segmentation via Gradient Based Localization.
Tiny Papers @ ICLR
Abhishek Kuriyal, Vaibhav Kumar
2022 J jnl
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System With Intelligent Reflecting Surface.
IEEE Wirel. Commun. Lett.
Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran
2022 — conf
An Empirical study to understand the Compositional Prowess of Neural Dialog Models.
Insights@ACL
Vinayshekhar Bannihatti Kumar, Vaibhav Kumar, Mukul Bhutani, Alexander Rudnicky
2022 J jnl
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning.
CoRR
Ashwin Pathak, Raj Shah, Vaibhav Kumar, Yash Jakhotiya
2022 — conf
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning.
SemEval@NAACL
Yash Jakhotiya, Vaibhav Kumar, Ashwin Pathak, Raj Shah
2022 B conf
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems.
GLOBECOM
Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran
2022 J jnl
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems.
CoRR
Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran
2022 — conf
On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels.
VTC Fall
Anshu Mukherjee, Vaibhav Kumar, Derrick Wing Kwan Ng, Le-Nam Tran
2022 J jnl
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel.
IEEE Wirel. Commun. Lett.
Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran
2021 J jnl
A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access.
CoRR
Vaibhav Kumar, Muhammad Fainan Hanif, Markku J. Juntti, Le-Nam Tran
2021 J jnl
Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface.
CoRR
Vaibhav Kumar, Mark F. Flanagan, Rui Zhang, Le-Nam Tran
2021 J jnl
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings.
CoRR
Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty
2021 J jnl
On the Effective Rate of NOMA in Underlay Spectrum Sharing.
CoRR
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
2021 J jnl
On the Effective Rate of NOMA in Underlay Spectrum Sharing.
IEEE Trans. Veh. Technol.
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
2021 J jnl
On the Optimality of the Stationary Solution of Secrecy Rate Maximization for MIMO Wiretap Channel.
CoRR
Anshu Mukherjee, Vaibhav Kumar, Eduard A. Jorswieck, Björn E. Ottersten, Le-Nam Tran
2021 J jnl
On the Performance of Downlink NOMA in Underlay Spectrum Sharing.
IEEE Trans. Veh. Technol.
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
2021 J jnl
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI.
CoRR
Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran
2021 — conf
On the Secrecy Rate of Downlink NOMA in Underlay Spectrum Sharing with Imperfect CSI: Invited Paper.
ICT
Vaibhav Kumar, Mark F. Flanagan, Daniel Benevides da Costa, Le-Nam Tran
2021 J jnl
On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel.
CoRR
Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran
2021 B conf
On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel.
GLOBECOM
Vaibhav Kumar, Mark F. Flanagan, Derrick Wing Kwan Ng, Le-Nam Tran
2021 — conf
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels.
MILCOM
Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran
2021 J jnl
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted MIMOME Wiretap Channels.
CoRR
Anshu Mukherjee, Vaibhav Kumar, Le-Nam Tran
2020 B conf
ATT: Attention-based Timbre Transfer.
IJCNN
Deepak Kumar Jain, Akshi Kumar, Linqin Cai, Siddharth Singhal, Vaibhav Kumar
2020 A* conf
CAsT-19: A Dataset for Conversational Information Seeking.
SIGIR
Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan
2020 A* conf
ClarQ: A large-scale and diverse dataset for Clarification Question Generation.
ACL
Vaibhav Kumar, Alan W. Black
2020 J jnl
ClarQ: A large-scale and diverse dataset for Clarification Question Generation.
CoRR
Vaibhav Kumar, Alan W. Black
2020 J jnl
Database intrusion detection using role and user behavior based risk assessment.
J. Inf. Secur. Appl.
Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal
2020 J jnl
Delay Violation Probability and Effective Rate of Downlink NOMA Over α-μ Fading Channels.
IEEE Trans. Veh. Technol.
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
2020 J jnl
Delay Violation Probability and Effective Rate of Downlink NOMA over α-μ Fading Channels.
CoRR
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
2020 — conf
Effective Rate of Downlink NOMA over k-μ Shadowed Fading with Integer Fading Parameters.
ICC Workshops
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
2020 J jnl
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings.
CoRR
Vaibhav Kumar, Tenzin Singhay Bhotia
2020 — conf
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers.
ICC
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
2020 — conf
Making Information Seeking Easier: An Improved Pipeline for Conversational Search.
EMNLP (Findings)
Vaibhav Kumar, Jamie Callan
2020 J jnl
NOMA-Based Cooperative Relaying With Receive Diversity in Nakagami-m Fading Channels.
IEEE Open J. Commun. Soc.
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2020 J jnl
NOMA-Based Cooperative Relaying with Receive Diversity in Nakagami-m Fading Channels.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2020 J jnl
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings.
CoRR
Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty
2020 J jnl
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings.
Trans. Assoc. Comput. Linguistics
Vaibhav Kumar, Tenzin Singhay Bhotia, Tanmoy Chakraborty
2020 — conf
On Dimensional Linguistic Properties of the Word Embedding Space.
RepL4NLP@ACL
Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze
2020 J jnl
On the performance of downlink NOMA in underlay spectrum sharing.
CoRR
Vaibhav Kumar, Zhiguo Ding, Mark F. Flanagan
2020 A conf
Ranking Clarification Questions via Natural Language Inference.
CIKM
Vaibhav Kumar, Vikas Raunak, Jamie Callan
2020 J jnl
Ranking Clarification Questions via Natural Language Inference.
CoRR
Vaibhav Kumar, Vikas Raunak, Jamie Callan
2020 — conf
SANMAN-Management Software for Hyperscale SAN based storage system.
ICCCNT
Urvashi Karnani Gaur, D. D. Sonvane, Vaibhav Kumar, Rajesh Kalmady
2019 — conf
A Step towards Context Identification for Conversational Search.
TREC
Vaibhav Kumar, Jamie Callan
2019 — conf
De-Mixing Sentiment from Code-Mixed Text.
ACL (2)
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn
2019 J jnl
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 J jnl
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying Under a Peak Interference Constraint.
IEEE Trans. Commun.
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 J jnl
Link-Layer Capacity of Downlink NOMA with Generalized Selection Combining Receivers.
CoRR
Vaibhav Kumar, Barry Cardiff, Shankar Prakriya, Mark F. Flanagan
2019 J jnl
On Compositionality in Neural Machine Translation.
CoRR
Vikas Raunak, Vaibhav Kumar, Florian Metze
2019 J jnl
On Dimensional Linguistic Properties of the Word Embedding Space.
CoRR
Vikas Raunak, Vaibhav Kumar, Vivek Gupta, Florian Metze
2019 J jnl
On the Performance of NOMA-based Cooperative Relaying with Receive Diversity.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 — conf
Performance Analysis of NOMA-Based Cooperative Relaying in alpha-µ Fading Channels.
ICC
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 J jnl
Performance Analysis of NOMA-based Cooperative Relaying in α - μ Fading Channels.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 C conf
Resource allocation for handling emergencies considering dynamic variations and urban spaces: fire fighting in Mumbai.
ICTD
Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana
2019 J jnl
User-Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance.
IEEE Trans. Commun.
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 J jnl
User-Antenna Selection for Physical-Layer Network Coding based on Euclidean Distance.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2019 J jnl
Writer Independent Offline Signature Recognition Using Ensemble Learning.
CoRR
Sourya Dipta Das, Himanshu Ladia, Vaibhav Kumar, Shivansh Mishra
2018 — conf
Check It Out : Politics and Neural Networks.
CLEF (Working Notes)
Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma
2018 — conf
Fundamental Limits of Spectrum Sharing for NOMA-Based Cooperative Relaying.
GLOBECOM Workshops
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2018 J jnl
Fundamental Limits of Spectrum Sharing for NOMA-based Cooperative Relaying.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2018 A conf
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation.
CIKM
Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta
2018 A* conf
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks.
SIGIR
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma
2018 — conf
Neural Content-Collaborative Filtering for News Recommendation.
NewsIR@ECIR
Dhruv Khattar, Vaibhav Kumar, Manish Gupta, Vasudeva Varma
2018 — conf
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators.
CIKM Workshops
Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma
2018 J jnl
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection.
CoRR
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma
2018 A conf
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation.
CIKM
Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma, Manish Gupta
2017 J jnl
A Neural Clickbait Detection Engine.
CoRR
Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar
2017 — conf
Deep Neural Architecture for News Recommendation.
CLEF (Working Notes)
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
2017 — conf
Leveraging Moderate User Data for News Recommendation.
ICDM Workshops
Dhruv Khattar, Vaibhav Kumar, Vasudeva Varma
2017 J jnl
Physical-Layer Network Coding with Multiple Antennas: An Enabling Technology for Smart Cities.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2017 B conf
Physical-layer network coding with multiple antennas: An enabling technology for smart cities.
PIMRC
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2017 B conf
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance.
GLOBECOM
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2017 J jnl
Transmit Antenna Selection for Physical-Layer Network Coding Based on Euclidean Distance.
CoRR
Vaibhav Kumar, Barry Cardiff, Mark F. Flanagan
2017 — conf
User Profiling Based Deep Neural Network for Temporal News Recommendation.
ICDM Workshops
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Manish Gupta, Vasudeva Varma
2017 — conf
Word Semantics Based 3-D Convolutional Neural Networks for News Recommendation.
ICDM Workshops
Vaibhav Kumar, Dhruv Khattar, Shashank Gupta, Vasudeva Varma
2016 C conf
A simulation framework for capacity analysis in TV white space.
APCC
Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
2016 B conf
Amplify-and-forward relay based spectrum sensing with generalized selection combining.
PIMRC
Vaibhav Kumar, Deep Chandra Kandpal, Ranjan Gangopadhyay, Soumitra Debnath
2016 — conf
Performance of an Energy Detector with Generalized Selection Combining for Spectrum Sensing.
CrownCom
Deep Chandra Kandpal, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
2015 — conf
Cooperative Spectrum Sensing using Improved p-norm Detector in Generalized κ - μ Fading Channel.
CrownCom
Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
2015 — conf
Improved p-norm energy detector in Generalized κ-μ fading channel for spectrum sensing in cognitive radio.
ICCSPA
Monika Jain, Vaibhav Kumar, Ranjan Gangopadhyay, Soumitra Debnath
2014 — conf
Improved p -norm Energy Detector in AWGN Channel for Spectrum Sensing in Cognitive Radio.
WICON
Vaibhav Kumar, Monika Jain, Ranjan Gangopadhyay, Soumitra Debnath
2008 — conf
An overview and behavioral modeling of higher order multi-bit SigmaDelta A/D converters.
EIT
Vaibhav Kumar, Degang Chen