Exploring playback and recording of web-based audio media on low-end feature phones. - Akhil Mathur; Shivam Agarwal; Sharad Jaiswal (ACM DEV (3), 2013)

Utilizing web data in identification and correction of OCR errors. - Kazem Taghva; Shivam Agarwal (DRR, 2014)

NodeTrix-Multiplex: Visual Analytics of Multiplex Small World Networks. - Shivam Agarwal; Amit Tomar; Jaya Sreevalsan-Nair (COMPLEX NETWORKS, 2016)

Segmenting and Labeling blood vessels in choroidal Haller's layer: A multiple target tracking approach. - Mohammed Nasar Ibrahim; Shivam Agarwal; Kiran Kumar Vupparaboina; Jay Chhablani; Ashutosh Richhariya; Soumya Jana (BHI, 2017)

NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks. - Jaya Sreevalsan-Nair; Shivam Agarwal (VISIGRAPP (3: IVAPP), 2017)

Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans using Model based Testing. - Kuruvilla Lukose; Shivam Agarwal; Vidyashankar Nagesha Rao; Jaya Sreevalsan-Nair (VISIGRAPP (3: IVAPP), 2018)

3 dB Bandwidth Enhancement using Miller Attenuation Technique. - Shivam Agarwal; Harsh Kumar; Vinayak Hande (MWSCAS, 2018)

Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper). - Shivam Agarwal; Siddarth Venkatraman (BigMM, 2020)

Visualizing AI Playtesting Data of 2D Side-scrolling Games. - Shivam Agarwal; Christian Herrmann; Günter Wallner; Fabian Beck 001 (CoG, 2020)

GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. - Ramit Sawhney; Arnav Wadhwa; Shivam Agarwal; Rajiv Ratn Shah (COLING, 2020)

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (EMNLP (1), 2020)

Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (ICDM, 2020)

Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. - Florian Laurent; Manuel Schneider; Christian Scheller; Jeremy D. Watson; Jiaoyang Li 001; Zhe Chen 016; Yi Zheng; Shao-Hung Chan; Konstantin Makhnev; Oleg Svidchenko; Vladimir Egorov; Dmitry Ivanov; et al. (NeurIPS (Competition and Demos), 2020)

A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments. - Shivam Agarwal; Jonas Auda; Stefan Schneegaß; Fabian Beck 001 (VMV, 2020)

Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs. - Shivam Agarwal; Gleb Tkachev; Michel Wermelinger; Fabian Beck 001 (VMV, 2020)

Set Streams: Visual Exploration of Dynamic Overlapping Sets. - Shivam Agarwal; Fabian Beck 001 (Comput. Graph. Forum, 2020)

Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game. - Shivam Agarwal; Günter Wallner; Fabian Beck 001 (Comput. Graph. Forum, 2020)

Deep Residual Neural Networks for Image in Speech Steganography. - Shivam Agarwal; Siddarth Venkatraman (CoRR, 2020)

How Visualization PhD Students Cope with Paper Rejections. - Shivam Agarwal; Shahid Latif; Fabian Beck 001 (CoRR, 2020)

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Tyler Derr; Rajiv Ratn Shah (AAAI, 2021)

FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. - Ramit Sawhney; Arnav Wadhwa; Shivam Agarwal; Rajiv Ratn Shah (EACL, 2021)

HypMix: Hyperbolic Interpolative Data Augmentation. - Ramit Sawhney; Megh Thakkar; Shivam Agarwal; Di Jin; Diyi Yang; Lucie Flek (EMNLP (1), 2021)

TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (IJCAI, 2021)

Quantitative Day Trading from Natural Language using Reinforcement Learning. - Ramit Sawhney; Arnav Wadhwa; Shivam Agarwal; Rajiv Ratn Shah (NAACL-HLT, 2021)

Hyperbolic Online Time Stream Modeling. - Ramit Sawhney; Shivam Agarwal; Megh Thakkar; Arnav Wadhwa; Rajiv Ratn Shah (SIGIR, 2021)

Modeling financial uncertainty with multivariate temporal entropy-based curriculums. - Ramit Sawhney; Arnav Wadhwa; Ayush Mangal; Vivek Mittal; Shivam Agarwal; Rajiv Ratn Shah (UAI, 2021)

Visually Connecting Historical Figures Through Event Knowledge Graphs. - Shahid Latif; Shivam Agarwal; Simon Gottschalk 001; Carina Chrosch; Felix Feit; Johannes Jahn; Tobias Braun; Yanick Christian Tchenko; Elena Demidova; Fabian Beck 001 (IEEE VIS (Short Papers), 2021)

Visual Comparison of Multi-label Classification Results. - Cedric Krause; Shivam Agarwal; Mohammad Ghoniem; Fabian Beck 001 (VMV, 2021)

Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. - Ramit Sawhney; Shivam Agarwal; Arnav Wadhwa; Rajiv Ratn Shah (WWW, 2021)

S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training. - Prashanthi Ramachandran; Shivam Agarwal; Arup Mondal; Aastha Shah; Debayan Gupta (CoRR, 2021)

HYPHEN: Hyperbolic Hawkes Attention For Text Streams. - Shivam Agarwal; Ramit Sawhney; Sanchit Ahuja; Ritesh Soun; Sudheer Chava (ACL (2), 2022)

Orthogonal Multi-Manifold Enriching of Directed Networks. - Ramit Sawhney; Shivam Agarwal; Atula Tejaswi Neerkaje; Kapil Jayesh Pathak (AISTATS, 2022)

Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks. - Shivam Agarwal; Günter Wallner; Jeremy D. Watson; Fabian Beck 001 (PacificVis, 2022)

THINK: Temporal Hypergraph Hyperbolic Network. - Shivam Agarwal; Ramit Sawhney; Megh Thakkar; Preslav Nakov; Jiawei Han 001; Tyler Derr (ICDM, 2022)

Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. - Ramit Sawhney; Shivam Agarwal; Vivek Mittal; Paolo Rosso; Vikram Nanda; Sudheer Chava (NAACL-HLT, 2022)

Towards Suicide Ideation Detection Through Online Conversational Context. - Ramit Sawhney; Shivam Agarwal; Atula Tejaswi Neerkaje; Nikolaos Aletras; Preslav Nakov; Lucie Flek (SIGIR, 2022)

Visualizing the Evolution of Multi-agent Game-playing Behaviors. - Shivam Agarwal; Shahid Latif; Aristide Rothweiler; Fabian Beck 001 (EuroVis (Posters), 2022)

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. - Nishant Balepur; Shivam Agarwal; Karthik Venkat Ramanan; Susik Yoon; Diyi Yang; Jiawei Han 001 (ACL (Findings), 2023)

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. - Pengcheng Jiang; Shivam Agarwal; Bowen Jin; Xuan Wang 008; Jimeng Sun 001; Jiawei Han 001 (ACL (Findings), 2023)

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. - Arpit Narechania; Surya Chakraborty; Shivam Agarwal; Atanu R. Sinha; Ryan A. Rossi; Fan Du; Jane Hoffswell; Shunan Guo; Eunyee Koh; Alex Endert; Shamkant B. Navathe (IEEE Big Data, 2023)

Homography based Player Identification in Live Sports. - Yash Pandya; Kaustav Nandy; Shivam Agarwal (CVPR Workshops, 2023)

HyperSteg: Hyperbolic Learning for Deep Steganography. - Shivam Agarwal; Ritesh Soun; Rahul Shivani; Vishnu Varanasi; Navroop Gill; Ramit Sawhney (ICASSP, 2023)

Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. - Parth Chhabra; Atula Tejaswi Neerkaje; Shivam Agarwal; Ramit Sawhney; Megh Thakkar; Preslav Nakov; Sudheer Chava (SIGIR, 2023)

Visualizing Element Interactions in Dynamic Overlapping Sets. - Shivam Agarwal (EuroVis (Short Papers), 2023)

CohExplore: Visually Supporting Students in Exploring Text Cohesion. - Carina Liebers; Shivam Agarwal; Fabian Beck 001 (EuroVis (Posters), 2023)

Fast and Secure Oblivious Stable Matching over Arithmetic Circuits. - Arup Mondal; Priyam Panda; Shivam Agarwal; Abdelrahaman Aly; Debayan Gupta (IACR Cryptol. ePrint Arch., 2023)

VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings. - Carina Liebers; Shivam Agarwal; Maximilian Krug; Karola Pitsch; Fabian Beck 001 (Comput. Graph. Forum, 2023)

Visually Abstracting Event Sequences as Double Trees Enriched with Category-Based Comparison. - Cedric Krause; Shivam Agarwal; Michael Burch; Fabian Beck 001 (Comput. Graph. Forum, 2023)

Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. - Samyak Jain; Parth Chhabra; Atula Tejaswi Neerkaje; Puneet Mathur; Ramit Sawhney; Shivam Agarwal; Preslav Nakov; Sudheer Chava; Dinesh Manocha (LREC/COLING, 2024)

Comparative Analysis of Timeline-based Visualizations for Dynamic Overlapping Sets. - Mariana Pron; Shivam Agarwal; Madhav Poddar; Fabian Beck 001 (EuroVis (Short Papers), 2024)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. - SeongKu Kang; Shivam Agarwal; Bowen Jin; Dongha Lee 003; Hwanjo Yu; Jiawei Han 001 (WWW, 2024)

Exploring Complex Group Dynamics: Visual Analysis of Overlapping Groups and Interactions Over Time. - Shivam Agarwal (2024)

Who Is Invited to the Metaverse? Analyzing Media Coverage of an Emerging Virtual World. - Sophie Maddocks; Jaclyn A. Siegel; Asia A. Eaton; Shivam Agarwal (Cyberpsychology Behav. Soc. Netw., 2024)

Scaling Diffusion Language Models via Adaptation from Autoregressive Models. - Shansan Gong; Shivam Agarwal; Yizhe Zhang 002; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han 001; Hao Peng 009; Lingpeng Kong (ICLR, 2025)

A Fully Autonomous 1.2A Auxiliary Buck DC-DC Converter for Fast Transient Load-on-Demand. - Shivam Agarwal; Sivasai Guddanti; Qadeer A. Khan (VLSID, 2025)

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning. - Shivam Agarwal; Zimin Zhang; Lifan Yuan; Jiawei Han 001; Hao Peng 009 (CoRR, 2025)