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ORCIDKaushik Roy 0009
Person information
- affiliation: University of South Carolina, Department of computer science, AI Institute, Columbia, SC, USA
Other persons with the same name
- Kaushik Roy — disambiguation page
- Kaushik Roy 0001
![[0000-0002-0735-9695]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0735-9695")
— Purdue University, West Lafayette, IN, USA - Kaushik Roy 0002 — Concordia University, Institute for Information Systems Engineering, Montreal, QC, CA
- Kaushik Roy 0003 — North Carolina State University, Raleigh, NC, USA
- Kaushik Roy 0004 — West Bengal State University, Barasat, India
- Kaushik Roy 0005 — RV College of Engineering, Bangalore, India
- Kaushik Roy 0006 — University of Windsor, Canada
- Kaushik Roy 0007 — Stanford University, Stanford, CA, USA
- Kaushik Roy 0008 — Sungkyunkwan University, MOPIC, R&B Center, Suwon-si, South Korea (and 1 more)
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2020 – today
- 2024
[j5]Amit P. Sheth, Kaushik Roy:
Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 39(1): 5-11 (2024)- [c15]Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth:
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. AAAI 2024: 23823-23825 - [c14]Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur:
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia 2024: 219-226 - [c13]Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, Amit P. Sheth:
Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. AAAI Spring Symposia 2024: 227-233 - [c12]Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit P. Sheth:
Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge. AAAI Spring Symposia 2024: 279-286 - [c11]Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS 2024: 592-594 - [c10]Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth:
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS 2024: 432-444 - [i27]Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth:
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR abs/2401.02500 (2024) - 2023
- [j4]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38(3): 56-62 (2023) - [c9]Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth:
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. AAAI 2023: 16479-16481 - [c8]Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth:
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC 2023: 981-986 - [c7]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i26]Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth:
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. CoRR abs/2304.00025 (2023) - [i25]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic AI - Why, What, and How. CoRR abs/2305.00813 (2023) - [i24]Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth:
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR abs/2305.04989 (2023) - [i23]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR abs/2305.08010 (2023) - [i22]Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth:
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR abs/2306.01805 (2023) - [i21]Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth:
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR abs/2306.09824 (2023) - [i20]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
Knowledge-Infused Self Attention Transformers. CoRR abs/2306.13501 (2023) - [i19]Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR abs/2306.13865 (2023) - [i18]Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric. CoRR abs/2309.05804 (2023) - [i17]Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR abs/2311.06493 (2023) - [i16]Amit P. Sheth, Kaushik Roy:
Neurosymbolic Value-Inspired AI (Why, What, and How). CoRR abs/2312.09928 (2023) - [i15]Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth:
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding. CoRR abs/2312.09932 (2023) - [i14]Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit P. Sheth, Heather Heckman:
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews. CoRR abs/2312.09948 (2023) - [i13]Kanak Raj, Kaushik Roy, Manas Gaur:
K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. CoRR abs/2312.17748 (2023) - 2022
- [j3]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022) - [j2]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. 26(5): 76-84 (2022) - [c6]Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth:
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems 2022: 28:1-28:3 - [i12]Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth:
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR abs/2204.12560 (2022) - [i11]Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth:
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR abs/2205.13884 (2022) - [i10]Tarun Garg, Kaushik Roy, Amit P. Sheth:
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. CoRR abs/2206.09259 (2022) - [i9]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR abs/2206.13349 (2022) - [i8]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR abs/2210.04307 (2022) - 2021
- [j1]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. 25(5): 19-24 (2021) - [c5]Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c4]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c3]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI 2021: 265-269 - [c2]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) 2021: 35-50 - [i7]Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth:
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. CoRR abs/2102.01222 (2021) - [i6]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR abs/2102.06245 (2021) - [i5]Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth:
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR abs/2103.15764 (2021) - [i4]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR abs/2105.06398 (2021) - [i3]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR abs/2106.13895 (2021) - [i2]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-intensive Language Understanding for Explainable AI. CoRR abs/2108.01174 (2021) - 2020
- [c1]Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth:
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. AI4SG@AAAI Fall Symposium 2020 - [i1]Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth:
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR abs/2010.14628 (2020)
Coauthor Index
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last updated on 2024-06-04 23:09 CEST by the dblp team
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