WalkMSU: an intervention to motivate physical activity in university students. - Vikash Singh; Anijo Punnen Mathew (CHI Extended Abstracts, 2007)

Exploring the design space in technology-augmented dance. - Celine Latulipe; David C. Wilson; Sybil Huskey; Melissa Word; Arthur Carroll; Erin A. Carroll; Berto Gonzalez; Vikash Singh; Mike Wirth; Danielle M. Lottridge (CHI Extended Abstracts, 2010)

The choreographer's notebook: a video annotation system for dancers and choreographers. - Vikash Singh; Celine Latulipe; Erin A. Carroll; Danielle M. Lottridge (Creativity & Cognition, 2011)

A procedure using support vector data description and mutual information for end price assessment in online C2C auction. - Mamata Jenamani; Aurobinda Routray; Vikash Singh (Electron. Commer. Res., 2011)

Bodies in critique: a technological intervention in the dance production process. - Erin A. Carroll; Danielle M. Lottridge; Celine Latulipe; Vikash Singh; Melissa Word (CSCW, 2012)

Exploring the design space of multiple video interaction. - Jinyue Xia; Vikash Singh; David C. Wilson; Celine Latulipe (NordiCHI, 2014)

Smartphone Security: Review of Challenges and Solution. - Vikash Singh; Kavita Sharma 001 (ICTCS, 2016)

The Video Collaboratory as a Learning Environment. - Vikash Singh; Sarah Abdellahi; Mary Lou Maher; Celine Latulipe (SIGCSE, 2016)

An Efficient Time Switching Protocol with Adaptive Power Splitting for Wireless Energy Harvesting Relay Networks. - Vikash Singh; Hideki Ochiai (VTC Spring, 2017)

Throughput improvement by cluster-based multihop wireless networks with energy harvesting relays. - Vikash Singh; Hideki Ochiai (WiSNet, 2017)

Replace or Retrieve Keywords In Documents at Scale. - Vikash Singh (CoRR, 2017)

Performance analysis of the clustering-based multihop wireless energy harvesting sensor networks over symmetric and asymmetric fading channels. - Vikash Singh; Hideki Ochiai (Int. J. Distributed Sens. Networks, 2017)

Inferring Structure and Meaning of Semi-Structured Documents by using a Gibbs Sampling Based Approach. - Vinodh Kumar Ravindranath; Devashish Deshpande; K. Venkata Vijay Girish; Darshan Patel; Neel Jambhekar; Vikash Singh (WML@ICDAR, 2019)

Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction. - Vikash Singh; Pietro Liò (CoRR, 2019)

Quantum Graph Neural Networks. - Guillaume Verdon; Trevor McCourt; Enxhell Luzhnica; Vikash Singh; Stefan Leichenauer; Jack Hidary (CoRR, 2019)

BDmark: A Blockchain-Driven Approach to Big Data Watermarking. - Swagatika Sahoo; Rishu Roshan; Vikash Singh; Raju Halder (ACIIDS (Companion), 2020)

Adaptive time-switching and power-Splitting protocols for energy harvesting sensor networks with multiple relays. - Vikash Singh; Roshan Kumar; Wei Zhao (Comput. Networks, 2020)

Graph Representation Learning on Tissue-Specific Multi-Omics. - Amine Amor; Pietro Lio'; Vikash Singh; Ramón Viñas Torné 001; Helena Andrés-Terré (CoRR, 2021)

GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks. - Lucie Charlotte Magister; Dmitry Kazhdan; Vikash Singh; Pietro Liò (CoRR, 2021)

Channel Balance Interpolation in the Lightning Network via Machine Learning. - Vincent; Emanuele Rossi; Vikash Singh (CoRR, 2024)

Bayesian Binary Search. - Vikash Singh; Matthew Khanzadeh; Vincent Davis; Harrison Rush; Emanuele Rossi; Jesse Shrader; Pietro Lio (CoRR, 2024)

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks. - Debargha Ganguly; Vikash Singh; Sreehari Sankar; Biyao Zhang; Xuecen Zhang; Srinivasan Iyengar; Xiaotian Han; Amit Sharma; Shivkumar Kalyanaraman; Vipin Chaudhary (CoRR, 2025)

K4: Online Log Anomaly Detection Via Unsupervised Typicality Learning. - Weicong Chen; Vikash Singh; Zahra Rahmani; Debargha Ganguly; Mohsen Hariri; Vipin Chaudhary (CoRR, 2025)