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ORCIDShivam Agarwal
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[b1]Shivam Agarwal:
Exploring Complex Group Dynamics: Visual Analysis of Overlapping Groups and Interactions Over Time. University of Duisburg-Essen, Germany, 2024- [j5]Sophie Maddocks
, Jaclyn A. Siegel, Asia A. Eaton, Shivam Agarwal:
Who Is Invited to the Metaverse? Analyzing Media Coverage of an Emerging Virtual World. Cyberpsychology Behav. Soc. Netw. 27(1): 76-82 (2024) - [c42]Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha:
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING 2024: 14285-14297 - [c41]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508 - [i10]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR abs/2403.04160 (2024) - [i9]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR abs/2410.17891 (2024) - 2023
- [j4]Carina Liebers, Shivam Agarwal, Maximilian Krug, Karola Pitsch, Fabian Beck:
VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings. Comput. Graph. Forum 42(3): 149-160 (2023) - [j3]Cedric Krause, Shivam Agarwal, Michael Burch, Fabian Beck:
Visually Abstracting Event Sequences as Double Trees Enriched with Category-Based Comparison. Comput. Graph. Forum 42(6) (2023) - [c40]Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han:
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) 2023: 194-217 - [c39]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) 2023: 11161-11180 - [c38]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:
DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. IEEE Big Data 2023: 5305-5310 - [c37]Yash Pandya, Kaustav Nandy, Shivam Agarwal:
Homography based Player Identification in Live Sports. CVPR Workshops 2023: 5209-5218 - [c36]Shivam Agarwal, Ritesh Soun, Rahul Shivani, Vishnu Varanasi, Navroop Gill, Ramit Sawhney:
HyperSteg: Hyperbolic Learning for Deep Steganography. ICASSP 2023: 1-5 - [c35]Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava:
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR 2023: 2108-2112 - [c34]Carina Liebers, Shivam Agarwal, Fabian Beck:
CohExplore: Visually Supporting Students in Exploring Text Cohesion. EuroVis (Posters) 2023: 21-23 - [c33]Shivam Agarwal:
Visualizing Element Interactions in Dynamic Overlapping Sets. EuroVis (Short Papers) 2023: 97-101 - [i8]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i7]Arup Mondal, Priyam Panda, Shivam Agarwal, Abdelrahaman Aly, Debayan Gupta:
Fast and Secure Oblivious Stable Matching over Arithmetic Circuits. IACR Cryptol. ePrint Arch. 2023: 1789 (2023) - 2022
- [c32]Shivam Agarwal, Ramit Sawhney, Sanchit Ahuja, Ritesh Soun, Sudheer Chava:
HYPHEN: Hyperbolic Hawkes Attention For Text Streams. ACL (2) 2022: 620-627 - [c31]Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Kapil Jayesh Pathak:
Orthogonal Multi-Manifold Enriching of Directed Networks. AISTATS 2022: 6074-6086 - [c30]Shivam Agarwal, Günter Wallner, Jeremy D. Watson, Fabian Beck:
Spatio-temporal Analysis of Multi-agent Scheduling Behaviors on Fixed-track Networks. PacificVis 2022: 21-30 - [c29]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c28]Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava:
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. NAACL-HLT 2022: 5531-5545 - [c27]Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek:
Towards Suicide Ideation Detection Through Online Conversational Context. SIGIR 2022: 1716-1727 - [c26]Shivam Agarwal, Shahid Latif, Aristide Rothweiler, Fabian Beck:
Visualizing the Evolution of Multi-agent Game-playing Behaviors. EuroVis (Posters) 2022: 23-25 - [i6]Ramit Sawhney, Shivam Agarwal, Vivek Mittal, Paolo Rosso, Vikram Nanda, Sudheer Chava:
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models. CoRR abs/2206.06320 (2022) - 2021
- [c25]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah:
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. AAAI 2021: 497-504 - [c24]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
FAST: Financial News and Tweet Based Time Aware Network for Stock Trading. EACL 2021: 2164-2175 - [c23]Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek:
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) 2021: 9858-9868 - [c22]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates. IJCAI 2021: 3552-3558 - [c21]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
Quantitative Day Trading from Natural Language using Reinforcement Learning. NAACL-HLT 2021: 4018-4030 - [c20]Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah:
Hyperbolic Online Time Stream Modeling. SIGIR 2021: 1682-1686 - [c19]Ramit Sawhney, Arnav Wadhwa, Ayush Mangal, Vivek Mittal, Shivam Agarwal, Rajiv Ratn Shah:
Modeling financial uncertainty with multivariate temporal entropy-based curriculums. UAI 2021: 1671-1681 - [c18]Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova, Fabian Beck:
Visually Connecting Historical Figures Through Event Knowledge Graphs. IEEE VIS (Short Papers) 2021: 156-160 - [c17]Cedric Krause, Shivam Agarwal, Mohammad Ghoniem, Fabian Beck:
Visual Comparison of Multi-label Classification Results. VMV 2021: 17-26 - [c16]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. WWW 2021: 11-22 - [i5]Prashanthi Ramachandran, Shivam Agarwal, Arup Mondal, Aastha Shah, Debayan Gupta:
S++: A Fast and Deployable Secure-Computation Framework for Privacy-Preserving Neural Network Training. CoRR abs/2101.12078 (2021) - [i4]Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty:
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR abs/2103.16511 (2021) - [i3]Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova, Fabian Beck:
Visually Connecting Historical Figures Through Event Knowledge Graphs. CoRR abs/2109.09380 (2021) - 2020
- [j2]Shivam Agarwal, Günter Wallner, Fabian Beck:
Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game. Comput. Graph. Forum 39(3): 89-100 (2020) - [j1]Shivam Agarwal, Fabian Beck:
Set Streams: Visual Exploration of Dynamic Overlapping Sets. Comput. Graph. Forum 39(3): 383-391 (2020) - [c15]Shivam Agarwal, Siddarth Venkatraman:
Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper). BigMM 2020: 430-434 - [c14]Shivam Agarwal, Christian Herrmann, Günter Wallner, Fabian Beck:
Visualizing AI Playtesting Data of 2D Side-scrolling Games. CoG 2020: 572-575 - [c13]Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, Rajiv Ratn Shah:
GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. COLING 2020: 4847-4859 - [c12]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations. EMNLP (1) 2020: 8415-8426 - [c11]Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting. ICDM 2020: 482-491 - [c10]Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty:
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) 2020: 275-301 - [c9]Shivam Agarwal, Gleb Tkachev, Michel Wermelinger, Fabian Beck:
Visualizing Sets and Changes in Membership Using Layered Set Intersection Graphs. VMV 2020: 69-78 - [c8]Shivam Agarwal, Jonas Auda, Stefan Schneegaß, Fabian Beck:
A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments. VMV 2020: 117-126 - [i2]Shivam Agarwal, Siddarth Venkatraman:
Deep Residual Neural Networks for Image in Speech Steganography. CoRR abs/2003.13217 (2020) - [i1]Shivam Agarwal, Shahid Latif, Fabian Beck:
How Visualization PhD Students Cope with Paper Rejections. CoRR abs/2009.00406 (2020)
2010 – 2019
- 2018
- [c7]Kuruvilla Lukose, Shivam Agarwal, Vidyashankar Nagesha Rao, Jaya Sreevalsan-Nair:
Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans using Model based Testing. VISIGRAPP (3: IVAPP) 2018: 289-300 - [c6]Shivam Agarwal, Harsh Kumar, Vinayak Hande:
3 dB Bandwidth Enhancement using Miller Attenuation Technique. MWSCAS 2018: 266-269 - 2017
- [c5]Mohammed Nasar Ibrahim, Shivam Agarwal, Kiran Kumar Vupparaboina, Jay Chhablani, Ashutosh Richhariya, Soumya Jana:
Segmenting and Labeling blood vessels in choroidal Haller's layer: A multiple target tracking approach. BHI 2017: 113-116 - [c4]Jaya Sreevalsan-Nair, Shivam Agarwal:
NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks. VISIGRAPP (3: IVAPP) 2017: 140-151 - 2016
- [c3]Shivam Agarwal, Amit Tomar, Jaya Sreevalsan-Nair:
NodeTrix-Multiplex: Visual Analytics of Multiplex Small World Networks. COMPLEX NETWORKS 2016: 579-591 - 2014
- [c2]Kazem Taghva, Shivam Agarwal:
Utilizing web data in identification and correction of OCR errors. DRR 2014: 902109-902109-6 - 2013
- [c1]Akhil Mathur, Shivam Agarwal, Sharad Jaiswal:
Exploring playback and recording of web-based audio media on low-end feature phones. ACM DEV (3) 2013: 13:1-13:9
Coauthor Index
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last updated on 2024-11-30 01:13 CET by the dblp team
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