| 2025 | ICRA | Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant. | Anxing Xiao, Nuwan Janaka, Tianrun Hu, Anshul Gupta, Kaixin Li, Cunjun Yu, David Hsu |
| 2024 | CVPR | Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following. | Anshul Gupta, Pierre Vuillecard, Arya Farkhondeh, Jean-Marc Odobez |
| 2024 | CVPR | Sharingan: A Transformer Architecture for Multi-Person Gaze Following. | Samy Tafasca, Anshul Gupta, Jean-Marc Odobez |
| 2024 | ICIP | Blend & Predict: Domain-Adaptable Few-Shot Learning for Microscopy Imaging. | Ayush Somani, Anshul Gupta, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad |
| 2023 | ICCV | ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour. | Samy Tafasca, Anshul Gupta, Jean-Marc Odobez |
| 2023 | ICMI | The AI4Autism Project: A Multimodal and Interdisciplinary Approach to Autism Diagnosis and Stratification. | Samy Tafasca, Anshul Gupta, Nada Kojovic, Mirko Gelsomini, Thomas Maillart, Michela Papandrea, Marie Schaer, Jean-Marc Odobez |
| 2023 | SIGCSE | NSF/IEEE-TCPP Curriculum on Parallel and Distributed Computing for Undergraduates - Version II - Big Data, Energy, and Distributed Computing. | Sushil K. Prasad, Charles C. Weems, Alan Sussman, Anshul Gupta, Trilce Estrada, Ramachandran Vaidyanathan, Sheikh K. Ghafoor, Krishna Kant, Craig B. Stunkel |
| 2022 | CVPR | A Modular Multimodal Architecture for Gaze Target Prediction: Application to Privacy-Sensitive Settings. | Anshul Gupta, Samy Tafasca, Jean-Marc Odobez |
| 2022 | ICDM | Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. | Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner |
| 2020 | Interspeech | Audiovisual Correspondence Learning in Humans and Machines. | Venkat Krishnamohan, Akshara Soman, Anshul Gupta, Sriram Ganapathy |
| 2019 | ASRU | Second Language Transfer Learning in Humans and Machines Using Image Supervision. | Kiran Praveen, Anshul Gupta, Akshara Soman, Sriram Ganapathy |
| 2018 | BMVC | Unsupervised Speaker Cue Usage Detection in Public Speaking Videos. | Anshul Gupta, Dinesh Babu Jayagopi |
| 2016 | EuroPar | Effective Minimally-Invasive GPU Acceleration of Distributed Sparse Matrix Factorization. | Anshul Gupta, Natalia Gimelshein, Seid Koric, Steven C. Rennich |
| 2016 | SEFM | Incentive Stackelberg Mean-Payoff Games. | Anshul Gupta, Sven Schewe, Ashutosh Trivedi, Sai Krishna Deepak Maram, Bharath Kumar Padarthi |
| 2015 | AAAI | Automatic Assessment of OCR Quality in Historical Documents. | Anshul Gupta, Ricardo Gutierrez-Osuna, Matthew Christy, Boris Capitanu, Loretta Auvil, Liz Grumbach, Richard Furuta, Laura Mandell |
| 2014 | SIGCSE | NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates (abstract only). | Sushil K. Prasad, Almadena Yu. Chtchelkanova, Anshul Gupta, Arnold L. Rosenberg, Alan Sussman |
| 2014 | TIME | Quantitative Verification in Rational Environments. | Anshul Gupta, Sven Schewe |
| 2013 | ICDM | A Mobility Simulation Framework Of Humans With Group Behavior Modeling. | Anshul Gupta, Aurosish Mishra, Satya Gautam Vadlamudi, P. P. Chakrabarti, Sudeshna Sarkar, Tridib Mukherjee, Nathan Gnanasambandam |
| 2012 | SC | Managing data-movement for effective shared-memory parallelization of out-of-core sparse solvers. | Haim Avron, Anshul Gupta |
| 2011 | SIGCSE | NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates. | Sushil K. Prasad, Almadena Yu. Chtchelkanova, Sajal K. Das, Frank Dehne, Mohamed G. Gouda, Anshul Gupta, Joseph F. JJ, Krishna Kant, Anita La Salle, Richard LeBlanc, Manish Lumsdaine, David A. Padua, Manish Parashar, Viktor K. Prasanna, Yves Robert, Arnold L. Rosenberg, Sartaj Sahni, Behrooz A. Shirazi, Alan Sussman, Charles C. Weems, Jie Wu |
| 2009 | HiPC | Demand-driven execution of static directed acyclic graphs using task parallelism. | Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine |
| 2009 | SC | Sparse matrix factorization on massively parallel computers. | Anshul Gupta, Seid Koric, Thomas George |
| 2009 | SC | PFunc: modern task parallelism for modern high performance computing. | Prabhanjan Kambadur, Anshul Gupta, Amol Ghoting, Haim Avron, Andrew Lumsdaine |
| 2008 | ICDM | A Recommendation System for Preconditioned Iterative Solvers. | Thomas George, Anshul Gupta, Vivek Sarin |
| 2001 | ICCS | Recent Progress in General Sparse Direct Solvers. | Anshul Gupta |
| 2000 | ISSAC | Fast practical algorithms for the Boolean-product-witness-matrix problem. | Anshul Gupta, Pankaj Rohatgi, Ramesh C. Agarwal |
| 1999 | EuroPar | Experience with a Recursive Perturbation Based Algorithm for Symmetric Indefinite Linear Systems. | Anshul Gupta, Fred G. Gustavson, Alexander Karaivanov, Jerzy Wasniewski, Plamen Y. Yalamov |
| 1997 | HiPC | A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. | Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar |
| 1995 | SC | Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems. | Anshul Gupta, Vipin Kumar |
| 1994 | SC | A scalable parallel algorithm for sparse Cholesky factorization. | Anshul Gupta, Vipin Kumar |
| 1994 | SC | A parallel formulation of interior point algorithms. | George Karypis, Anshul Gupta, Vipin Kumar |
| 1993 | ICPP | Scalability of Parallel Algorithms for Matrix Multiplication. | Anshul Gupta, Vipin Kumar |
| 1991 | ICS | Analysis of scalability of parallel algorithms and architectures: a survey. | Vipin Kumar, Anshul Gupta |