| 2025 | ASRU | Joint Multimodal Contrastive Learning for Robust Spoken Term Detection and Keyword Spotting. | Ramesh Gundluru, Shubham Gupta, K. Sri Rama Murty |
| 2025 | COLING | Mirror Minds : An Empirical Study on Detecting LLM-Generated Text via LLMs. | Josh Baradia, Shubham Gupta, Suman Kundu |
| 2025 | COLING | Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems. | Rafael Teixeira de Lima, Shubham Gupta, Cesar Berrospi Ramis, Lokesh Mishra, Michele Dolfi, Peter W. J. Staar, Panagiotis Vagenas |
| 2025 | DSAA | Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks. | Simon Klttermann, Shubham Gupta, Emmanuel Mller |
| 2025 | ICML | LAST SToP for Modeling Asynchronous Time Series. | Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian W. Bialokozowicz |
| 2025 | INFOCOM | Demo: UE Context Dissemination in NTN for Global Store and Forward NB-IoT over LEO Satellites. | Timo Kellermann, Roger Pueyo Centelles, Sergio Aguilar, Shubham Gupta, Daniel Camps-Mur, Anna Calveras Aug |
| 2025 | Interspeech | LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs. | Pooneh Mousavi, Shubham Gupta, Cem Subakan, Mirco Ravanelli |
| 2025 | SIGIR | MINTT: Memory Inductive Transfer for Temporal Graph Neural Networks. | Tanishq Dubey, Sidharth Agarwal, Shubham Gupta, Srikanta Bedathur |
| 2025 | WACV | Cross-Aligned Fusion For Multimodal Understanding. | Abhishek Rajora, Shubham Gupta, Suman Kundu |
| 2024 | AISTATS | Clustering Items From Adaptively Collected Inconsistent Feedback. | Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie |
| 2024 | COMAD | Robust Training of Temporal GNNs using Nearest Neighbour based Hard Negatives. | Shubham Gupta, Srikanta Bedathur |
| 2024 | ECIR | CrisisKAN: Knowledge-Infused and Explainable Multimodal Attention Network for Crisis Event Classification. | Shubham Gupta, Nandini Saini, Suman Kundu, Debasis Das |
| 2024 | GLOBECOM | A 6G Vision for Intelligent Emergency Communication: Unified 3D Networking and Ambient IoT. | Dejan Vukobratovic, Mona Ghassemian, Xueli An, Ahmet Faruk Coskun, Emre Arslan, Mehmet Basaran, Nikolaos G. Bartzoudis, Eullia Pars, Joo Fernandes, Lus Cordeiro, Lus Rosa, Shubham Gupta, Sergio Aguilar, Stylianos Papaharalabos, Peter Karlsson, Jani Kppi, Alejandro Blanco Pizarro, Maite Aparicio, Andres Meseguer Valenzuela |
| 2024 | IGARSS | EVDNET: Towards Explainable Multi Scale, Anchor Free Vehicle Detection Network in High Resolution Aerial Imagery. | Nandini Saini, Shubham Gupta, Chiranjoy Chattopadhyay, Debasis Das, Suman Kundu |
| 2024 | Interspeech | Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice. | Shubham Gupta, Mirco Ravanelli, Pascal Germain, Cem Subakan |
| 2024 | IGARSS | Synergizing Vision and Language in Remote Sensing: A Multimodal Approach for Enhanced Disaster Classification in Emergency Response Systems. | Shubham Gupta, Nandini Saini, Suman Kundu, Chiranjoy Chattopadhyay, Debasis Das |
| 2024 | PacificVis | Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks. | Mengjiao Han, Jixian Li, Sudhanshu Sane, Shubham Gupta, Bei Wang, Steve Petruzza, Chris R. Johnson |
| 2023 | ICML | GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. | Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur |
| 2023 | WSC | A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. | Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya |
| 2023 | WACV | Far3Det: Towards Far-Field 3D Detection. | Shubham Gupta, Jeet Kanjani, Mengtian Li, Francesco Ferroni, James Hays, Deva Ramanan, Shu Kong |
| 2022 | AAAI | TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. | Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu |
| 2022 | GLOBECOM | Experimental Evaluation of a Symmetry-Free Parallel Algorithm for Spectrum Allocation. | George N. Rouskas, Shubham Gupta, Priya Sharma |
| 2022 | GLOBECOM | Parameterized First Fit (PFF): Eliminating Symmetry in Spectrum Allocation. | George N. Rouskas, Priya Sharma, Shubham Gupta |
| 2022 | ICML | Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits. | Aadirupa Saha, Shubham Gupta |
| 2022 | NeSy | Differentiable Rule Induction with Learned Relational Features. | Remy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta |
| 2022 | PACLIC | Incorporating Linguistic Knowledge for Abstractive Multi-document Summarization. | Congbo Ma, Wei Emma Zhang, Hu Wang, Shubham Gupta, Mingyu Guo |
| 2021 | AAAI | Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. | Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati |
| 2021 | ICIS | To Discount or Not to Discount: A Game-Theoretic Analysis of the Pricing and Survival Dilemma in Luxury E-commerce. | Yingxin Zhang, Shubham Gupta, Subodha Kumar, Xiangpei Hu |
| 2021 | IECON | A New Novel Approach for Optimal Capacitor Placement in Radial Distribution Networks using Data Envelopment Analysis. | Shubham Gupta, Vinod Kumar Yadav, Madhusudan Singh |
| 2021 | NAACL | Active² Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation. | Rishi Hazra, Parag Dutta, Shubham Gupta, Mohammed Abdul Qaathir, Ambedkar Dukkipati |
| 2020 | ICASSP | A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. | Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan |
| 2020 | SAC | Investigation of biases in identity linkage DataSets. | Rishabh Kaushal, Shubham Gupta, Ponnurangam Kumaraguru |
| 2019 | AAAI | A Generative Model for Dynamic Networks with Applications. | Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati |
| 2019 | DAC | DHOOM: Reusing Design-for-Debug Hardware for Online Monitoring. | Neetu Jindal, Sandeep Chandran, Preeti Ranjan Panda, Sanjiva Prasad, Abhay Mitra, Kunal Singhal, Shubham Gupta, Shikhar Tuli |
| 2017 | AMIA | InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. | Jasper Friedrichs, Debanjan Mahata, Shubham Gupta |
| 2017 | ICML | Attentive Recurrent Comparators. | Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati |
| 2013 | ICIP | Kitchen activity recognition based on scene context. | Shubham Bansal, Shubham Khandelwal, Shubham Gupta, Dushyant Goyal |
| 2013 | ICMI | Emotion recognition using facial and audio features. | Tarun Krishna, Ayush K. Rai, Shubham Bansal, Shubham Khandelwal, Shubham Gupta, Dushyant Goyal |
| 2010 | ECCV | Practical Time Bundle Adjustment for 3D Reconstruction on the GPU. | Siddharth Choudhary, Shubham Gupta, P. J. Narayanan |
| 2010 | IPCO | A 3-Approximation for Facility Location with Uniform Capacities. | Ankit Aggarwal, Anand Louis, Manisha Bansal, Naveen Garg, Neelima Gupta, Shubham Gupta, Surabhi Jain |