Shubham Agarwal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
28
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*AAAI4 papers
- BINLG4 papers
- A*ACL3 papers
- A*CCS2 papers
- CICMV2 papers
- ACIDR1 paper
- A*SP1 paper
- A*CVPR1 paper
- MulticonferenceICASSP1 paper
- A*ICLR1 paper
- AMiddleware1 paper
- AWACV1 paper
- AUAI1 paper
- A*ECCV1 paper
- NationalNSDI1 paper
- BPAKDD1 paper
- CIGARSS1 paper
- A*WWW1 paper
- A*SIGMOD1 paper
- NationalCOMSNETS1 paper
- CHIS1 paper
- AEACL1 paper
- ABPM1 paper
- A*IJCAI1 paper
- A*EMNLP1 paper
- BICPR1 paper
- BSIGdial1 paper
- AMobisys1 paper
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | BhashaKritika: Building Synthetic Pretraining Data at Scale for Indic Languages. | Guduru Manoj, Neel Prabhanjan Rachamalla, Ashish Kulkarni, Gautam Rajeev, Jay Piplodiya, Arul Menezes, Shaharukh Khan, Souvik Rana, Manya Sah, Chandra Khatri, Shubham Agarwal |
| 2026 | ACL | MUTANT: A Recipe for Multilingual Tokenizer Design. | Souvik Rana, Ashish Kulkarni, Arul Menezes, Chandra Khatri, Shubham Agarwal |
| 2026 | CIDR | Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. | Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran |
| 2026 | SP | LEAKYLINKS: Measuring the Security and Privacy Risks of URL Scanning Services. | Ali Mustafa, Jannis Rautenstrauch, Florian Hantke, Shubham Agarwal, Stefano Calzavara, Ben Stock |
| 2025 | AAAI | StarVector: Generating Scalable Vector Graphics Code from Images and Text. | Juan A. Rodrguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Sai Rajeswar, David Vzquez, Christopher Pal, Marco Pedersoli |
| 2025 | ACL | A Framework for Flexible Extraction of Clinical Event Contextual Properties from Electronic Health Records. | Shubham Agarwal, Thomas Searle, Mart Ratas, Anthony Shek, James T. Teo, Richard J. B. Dobson |
| 2025 | CVPR | StarVector: Generating Scalable Vector Graphics Code from Images and Text. | Juan A. Rodrguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodrguez, Sai Rajeswar, David Vzquez, Christopher Pal, Marco Pedersoli |
| 2025 | ICASSP | Chitrarth: Bridging Vision and Language for a Billion People. | Shaharukh Khan, Ayush Tarun, Abhinav Ravi, Ali Faraz, Praveen Kumar Pokala, Anagha Bhangare, Raja Kolla, Chandra Khatri, Shubham Agarwal |
| 2025 | ICLR | BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks. | Juan A. Rodrguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, Franois Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andr Nol, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, et al. |
| 2025 | Middleware | Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System. | Shubham Agarwal, Subrata Mitra, Saud Iqbal |
| 2025 | WACV | WARLearn: Weather-Adaptive Representation Learning. | Shubham Agarwal, Raz Birman, Ofer Hadar |
| 2025 | UAI | Root Cause Analysis of Failures from Partial Causal Structures. | Azam Ikram, Kenneth Lee, Shubham Agarwal, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu |
| 2024 | CCS | Peeking through the window: Fingerprinting Browser Extensions through Page-Visible Execution Traces and Interactions. | Shubham Agarwal, Aurore Fass, Ben Stock |
| 2024 | ECCV | RECON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories. | Chen-Yi Lu, Shubham Agarwal, Md. Mehrab Tanjim, Kanak Mahadik, Anup B. Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji |
| 2024 | NSDI | Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models. | Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Kumar Saini |
| 2024 | PAKDD | ScaleViz: Scaling Visualization Recommendation Models on Large Data. | Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra, Ryan A. Rossi, Manav Doshi, Vibhor Porwal, Syam Manoj Kumar Paila |
| 2023 | IGARSS | SLC Coherence Feature for Enhancing Cropland Extent Mapping: A Case Study on Maharashtra Region, India. | Deepak Murugan, Shubham Agarwal, Janardan Roy, Elvin John, Venkanna Babu Guthula, Praveen Pankajakshan |
| 2023 | WWW | CausIL: Causal Graph for Instance Level Microservice Data. | Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini |
| 2023 | SIGMOD | Fast Natural Language Based Data Exploration with Samples. | Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra |
| 2022 | CCS | Helping or Hindering?: How Browser Extensions Undermine Security. | Shubham Agarwal |
| 2022 | COMSNETS | Threat Detection and Response in Linux Endpoints. | Shubham Agarwal, Arjun Sable, Devesh Sawant, Sunil Kahalekar, Manjesh K. Hanawal |
| 2022 | HIS | Analytical Study of Effects on Business Sectors During Pandemic-Data Mining Approach. | Samruddhi Pawar, Shubham Agarwal, Prafulla Bharat Bafna |
| 2021 | EACL | A Systematic Review of Reproducibility Research in Natural Language Processing. | Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter |
| 2021 | INLG | The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results. | Anya Belz, Anastasia Shimorina, Shubham Agarwal, Ehud Reiter |
| 2020 | AAAI | TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets. | Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni |
| 2020 | ACL | History for Visual Dialog: Do we really need it? | Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas, Verena Rieser |
| 2020 | BPM | D3BA: A Tool for Optimizing Business Processes Using Non-deterministic Planning. | Tathagata Chakraborti, Shubham Agarwal, Yasaman Khazaeni, Yara Rizk, Vatche Isahagian |
| 2020 | INLG | ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG. | Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter |
| 2019 | AAAI | MAi: An Intelligent Model Acquisition Interface for Interactive Specification of Dialogue Agents. | Tathagata Chakraborti, Christian Muise, Shubham Agarwal, Luis A. Lastras |
| 2019 | IJCAI | Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. | Joseph Kim, Christian Muise, Ankit Shah, Shubham Agarwal, Julie Shah |
| 2018 | EMNLP | A Knowledge-Grounded Multimodal Search-Based Conversational Agent. | Shubham Agarwal, Ondrej Dusek, Ioannis Konstas, Verena Rieser |
| 2018 | ICPR | Spatio-Temporal Laban Features for Dance Style Recognition. | Swati Dewan, Shubham Agarwal, Navjyoti Singh |
| 2018 | INLG | Char2char Generation with Reranking for the E2E NLG Challenge. | Shubham Agarwal, Marc Dymetman, ric Gaussier |
| 2018 | INLG | Improving Context Modelling in Multimodal Dialogue Generation. | Shubham Agarwal, Ondrej Dusek, Ioannis Konstas, Verena Rieser |
| 2017 | ICMV | A deep learning pipeline for Indian dance style classification. | Swati Dewan, Shubham Agarwal, Navjyoti Singh |
| 2017 | ICMV | Laban movement analysis to classify emotions from motion. | Swati Dewan, Shubham Agarwal, Navjyoti Singh |
| 2017 | SIGdial | A surprisingly effective out-of-the-box char2char model on the E2E NLG Challenge dataset. | Shubham Agarwal, Marc Dymetman |
| 2007 | Mobisys | Vehicular opportunistic communication under the microscope. | David Hadaller, Srinivasan Keshav, Tim Brecht, Shubham Agarwal |