Vaibhav Kumar - RankMe

134 papers A* 3A 3B 9C 2Misc 2Journal 73Unranked 42

Year	Rank	Type	Title / 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