A new predictive dynamic priority scheduling in Ethernet passive optical networks (EPONs). - Swades De; Vaibhav Singh; Hari Mohan Gupta; Navrati Saxena; Abhishek Roy 001 (Opt. Switch. Netw., 2010)

Monitoring the performance of conveyor system using radio frequency identification in manufacturing environment: a recurrent neural network and genetic algorithm-based approach. - Vaibhav Singh; Faizan Sarwar; Felix T. S. Chan; M. K. Tiwari (Int. J. Comput. Integr. Manuf., 2012)

On the delay optimal user association in heterogeneous wireless networks. - Narayan Prasad; Vaibhav Singh; Sampath Rangarajan (ACSSC, 2015)

Optimizing user association and activation fractions in heterogeneous wireless networks. - Vaibhav Singh; Narayan Prasad; Mustafa Y. Arslan; Sampath Rangarajan (WiOpt, 2015)

Dynamic Resource Allocation in Wireless Heterogeneous Networks. - Vaibhav Singh (2015)

Coordinated scheduling in MIMO heterogeneous wireless networks using submodular optimization. - Vaibhav Singh; Richard J. La; Mark A. Shayman (WiOpt, 2016)

Dynamic Frequency Resource Allocation in Heterogeneous Cellular Networks. - Vaibhav Singh; Matthew Lentz; Bobby Bhattacharjee; Richard J. La; Mark A. Shayman (IEEE Trans. Mob. Comput., 2016)

Deep Gaussian Processes with Convolutional Kernels. - Vinayak Kumar; Vaibhav Singh; P. K. Srijith; Andreas C. Damianou (CoRR, 2018)

Empirical Analysis of Shallow and Deep Architecture Classifiers on Emotion Recognition from Speech. - Vaibhav Singh; Kapil Sharma (CSCloud/EdgeCom, 2019)

RFID Tattoo: A Wireless Platform for Speech Recognition. - Jingxian Wang; Chengfeng Pan; Haojian Jin; Vaibhav Singh; Yash Jain; Jason I. Hong; Carmel Majidi; Swarun Kumar (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Full Duplex Radios: Are we there yet? - Vaibhav Singh; Akshay Gadre; Swarun Kumar (HotNets, 2020)

Millimeter-wave full duplex radios. - Vaibhav Singh; Susnata Mondal; Akshay Gadre; Milind Srivastava; Jeyanandh Paramesh; Swarun Kumar (MobiCom, 2020)

Osprey demo: a mmwave approach to tire wear sensing. - Akarsh Prabhakara; Vaibhav Singh; Swarun Kumar; Anthony G. Rowe (MobiSys, 2020)

OSPREY: A mmWave Approach to Tire Wear Sensing. - Akarsh Prabhakara; Vaibhav Singh; Swarun Kumar; Anthony G. Rowe (GetMobile Mob. Comput. Commun., 2020)

Speech Recognition Using RFID Tattoos (Extended Abstract). - Jingxian Wang; Chengfeng Pan; Haojian Jin; Vaibhav Singh; Yash Jain; Jason I. Hong; Carmel Majidi; Swarun Kumar (IJCAI, 2021)

OwLL: Accurate LoRa Localization using the TV Whitespaces. - Atul Bansal; Akshay Gadre; Vaibhav Singh; Anthony G. Rowe; Bob Iannucci; Swarun Kumar (IPSN, 2021)

Conversion of two dimensional images into multi-view images of bone using deep learning. - Nitesh Pradhan; Vaibhav Singh; Virat Kumar; Parth Goel; Vijaypal Singh Dhaka (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Noise Reduction in VCSEL Based Wavelength Division Multiplexing System. - S. Krithiga; Vidhyacharan Bhaskar; S. Malarvizhi; Vaibhav Singh (Wirel. Pers. Commun., 2021)

Design and Implementation for a Duplex Visible Light Communication Link. - Anjali Gupta; Vaibhav Singh; Mayank Gautam; Abhishek Dixit (COMSNETS, 2022)

Error Correction Code Algorithm and Implementation Verification Using Symbolic Representations. - Aarti Gupta; Roope Kaivola; Mihir Parang Mehta; Vaibhav Singh (FMCAD, 2022)

SelfieStick: Towards Earth Imaging from a Low-Cost Ground Module Using LEO Satellites. - Vaibhav Singh; Osman Yagan; Swarun Kumar (IPSN, 2022)

Intelligent RAN Power Saving using Balanced Model Training in Cellular Networks. - Vaibhav Singh; Maruti Gupta; Christian Maciocco (WiOpt, 2022)

Artificial prediction markets present a novel opportunity for human-AI collaboration. - Tatiana Chakravorti; Vaibhav Singh; Sarah Rajmajer; Michael McLaughlin; Robert Fraleigh; Christopher Griffin 001; Anthony Kwasnica; David M. Pennock; C. Lee Giles (CoRR, 2022)

A Community-Driven Approach to Democratize Access to Satellite Ground Stations. - Vaibhav Singh; Akarsh Prabhakara; Diana Zhang; Osman Yagan; Swarun Kumar (GetMobile Mob. Comput. Commun., 2022)

Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration. - Tatiana Chakravorti; Vaibhav Singh; Sarah Rajtmajer; Michael McLaughlin; Robert Fraleigh; Christopher Griffin 001; Anthony Kwasnica; David M. Pennock; C. Lee Giles (AAMAS, 2023)

A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work. - Tatiana Chakravorti; Robert Fraleigh; Timothy Fritton; Michael McLaughlin; Vaibhav Singh; Christopher Griffin 001; Anthony Kwasnica; David M. Pennock; C. Lee Giles; Sarah Rajtmajer (HHAI, 2023)

BARON: Base-Station Authentication Through Core Network for Mobility Management in 5G Networks. - Alessandro Lotto; Vaibhav Singh; Bhaskar Ramasubramanian; Alessandro Brighente; Mauro Conti; Radha Poovendran (WISEC, 2023)

Towards Miniature Ground Stations for Low Earth Orbit Satellites - Vaibhav Singh (2023)

Exploiting Satellite Doppler for Reliable and Faster Data Download in IoT Satellite Networks. - Vaibhav Singh; Tusher Chakraborty; Suraj Jog; Om Chabra; Deepak Vasisht; Ranveer Chandra (GetMobile Mob. Comput. Commun., 2023)

Wake-Sleep Energy Based Models for Continual Learning. - Vaibhav Singh; Anna Choromanska; Shuang Li 013; Yilun Du (CVPR Workshops, 2024)

Effective AI/ML Training using Submodular Cell Selection for Network Energy Saving. - Vaibhav Singh; Christian Maciocco (ICC Workshops, 2024)

Comparative analysis of VGG16, Inception V4, AlexNet, and ResNet 50 for Plant Disease Identification. - Utkarsh Arora; Upendra Mishra; Samaira Singh; Vaibhav Singh (ICCCNT, 2024)

On the Feasibility of Laser Inter-satellite Links for Low-latency High Frequency Trading. - Vaibhav Singh; Akshay Gadre (LEO-NET, 2024)

Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things. - Vaibhav Singh; Tusher Chakraborty; Suraj Jog; Om Chabra; Deepak Vasisht; Ranveer Chandra (NSDI, 2024)

Controlling Forgetting with Test-Time Data in Continual Learning. - Vaibhav Singh; Rahaf Aljundi; Eugene Belilovsky (CoRR, 2024)

A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs. - Vaibhav Singh; Amrith Krishna; Karthika NJ; Ganesh Ramakrishnan (CoRR, 2024)

Machine learning approaches for automatic defect detection in photovoltaic systems. - Swayam Rajat Mohanty; Moin Uddin Maruf; Vaibhav Singh; Zeeshan Ahmad (CoRR, 2024)

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. - Soumya Suvra Ghosal; Souradip Chakraborty; Vaibhav Singh; Tianrui Guan; Mengdi Wang; Ahmad Beirami; Furong Huang; Alvaro Velasquez; Dinesh Manocha; Amrit Singh Bedi (CVPR, 2025)

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. - Yaswanth M; Vaibhav Singh; Ayush Maheshwari; Amrith Krishna; Ganesh Ramakrishnan (NAACL (Findings), 2025)

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. - Yashwanth M.; Vaibhav Singh; Ayush Maheshwari; Amrith Krishna; Ganesh Ramakrishnan (CoRR, 2025)

Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training. - Vaibhav Singh; Paul Janson; Paria Mehrbod; Adam Ibrahim; Irina Rish; Eugene Belilovsky; Benjamin Thérien (CoRR, 2025)

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples. - Soumya Suvra Ghosal; Vaibhav Singh; Akash Ghosh; Soumyabrata Pal; Subhadip Baidya; Sriparna Saha 001; Dinesh Manocha (CoRR, 2025)

Model Parallelism With Subnetwork Data Parallelism. - Vaibhav Singh; Zafir Khalid; Edouard Oyallon; Eugene Belilovsky (CoRR, 2025)