COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. - Parth Asawa; Manas Gaur; Kaushik Roy 009; Amit P. Sheth (AI4SG@AAAI Fall Symposium, 2020)

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Kaushik Roy 009; Usha Lokala; Vedant Khandelwal; Amit P. Sheth (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Knowledge Infused Policy Gradients for Adaptive Pandemic Control. - Kaushik Roy 009; Qi Zhang 038; Manas Gaur; Amit P. Sheth (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. - Manas Gaur; Kaushik Roy 009; Aditya Sharma; Biplav Srivastava; Amit P. Sheth (ICHI, 2021)

Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. - Kaushik Roy 009; Qi Zhang 038; Manas Gaur; Amit P. Sheth (ECML/PKDD (1), 2021)

eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. - Usha Lokala; Francois R. Lamy; Triyasha Ghosh Dastidar; Kaushik Roy 009; Raminta Daniulaityte; Srinivasan Parthasarathy 001; Amit P. Sheth (CoRR, 2021)

Knowledge-Intensive Language Understanding for Explainable AI. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Keyur Faldu (IEEE Internet Comput., 2021)

Tutorial: Neuro-symbolic AI for Mental Healthcare. - Kaushik Roy 009; Usha Lokala; Manas Gaur; Amit P. Sheth (AIMLSystems, 2022)

Process Knowledge-infused Learning for Suicidality Assessment on Social Media. - Kaushik Roy 009; Manas Gaur; Qi Zhang 038; Amit P. Sheth (CoRR, 2022)

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. - Shrey Gupta; Anmol Agarwal; Manas Gaur; Kaushik Roy 009; Vignesh Narayanan; Ponnurangam Kumaraguru; Amit P. Sheth (CoRR, 2022)

Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. - Tarun Garg; Kaushik Roy 009; Amit P. Sheth (CoRR, 2022)

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Revathy Venkataramanan; Vedant Khandelwal (CoRR, 2022)

KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. - Kaushik Roy 009; Yuxin Zi; Vignesh Narayanan; Manas Gaur; Amit P. Sheth (CoRR, 2022)

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. - Kaushik Roy 009; Manas Gaur; Misagh Soltani; Vipula Rawte; Ashwin Kalyan; Amit P. Sheth (Frontiers Big Data, 2022)

Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Revathy Venkataramanan; Vedant Khandelwal (IEEE Internet Comput., 2022)

Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. - Kaushik Roy 009; Vedant Khandelwal; Raxit Goswami; Nathan Dolbir; Jinendra Malekar; Amit P. Sheth (AAAI, 2023)

Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. - Revathy Venkataramanan; Kaushik Roy 009; Kanak Raj; Renjith Prasad; Yuxin Zi; Vignesh Narayanan; Amit P. Sheth (SMC, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Neurosymbolic AI - Why, What, and How. - Amit P. Sheth; Kaushik Roy 009; Manas Gaur (CoRR, 2023)

Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. - Kaushik Roy 009; Tarun Garg; Vedant Palit; Yuxin Zi; Vignesh Narayanan; Amit P. Sheth (CoRR, 2023)

Process Knowledge-infused Learning for Clinician-friendly Explanations. - Kaushik Roy 009; Yuxin Zi; Manas Gaur; Jinendra Malekar; Qi Zhang 020; Vignesh Narayanan; Amit P. Sheth (CoRR, 2023)

Knowledge-Infused Self Attention Transformers. - Kaushik Roy 009; Yuxin Zi; Vignesh Narayanan; Manas Gaur; Amit P. Sheth (CoRR, 2023)

IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. - Yuxin Zi; Kaushik Roy 009; Vignesh Narayanan; Manas Gaur; Amit P. Sheth (CoRR, 2023)

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. - Abhisek Tiwari; Muhammed Sinan; Kaushik Roy 009; Amit P. Sheth; Sriparna Saha 001; Pushpak Bhattacharyya (CoRR, 2023)

Neurosymbolic Value-Inspired AI (Why, What, and How). - Amit P. Sheth; Kaushik Roy 009 (CoRR, 2023)

RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding. - Yuxin Zi; Hariram Veeramani; Kaushik Roy 009; Amit P. Sheth (CoRR, 2023)

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. - Kanak Raj; Kaushik Roy 009; Manas Gaur (CoRR, 2023)

Neurosymbolic Artificial Intelligence (Why, What, and How). - Amit P. Sheth; Kaushik Roy 009; Manas Gaur (IEEE Intell. Syst., 2023)

GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. - Kaushik Roy 009; Vedant Khandelwal; Valerie Vera; Harshul Surana; Heather Heckman; Amit P. Sheth (AAAI, 2024)

Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. - Kaushik Roy 009; Alessandro Oltramari; Yuxin Zi; Chathurangi Shyalika; Vignesh Narayanan; Amit P. Sheth (AAAI Spring Symposia, 2024)

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. - Kanak Raj; Kaushik Roy 009; Vamshi Bonagiri; Priyanshul Govil; Krishnaprasad Thirunarayan; Raxit Goswami; Manas Gaur (AAAI Spring Symposia, 2024)

Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge. - Yuxin Zi; Kaushik Roy 009; Vignesh Narayanan; Amit P. Sheth (AAAI Spring Symposia, 2024)

L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. - Aidin Shiri; Kaushik Roy 009; Amit P. Sheth; Manas Gaur (COMAD/CODS, 2024)

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). - Vishal Pallagani; Bharath C. Muppasani; Kaushik Roy 009; Francesco Fabiano; Andrea Loreggia; Keerthiram Murugesan; Biplav Srivastava; Francesca Rossi 001; Lior Horesh; Amit P. Sheth (ICAPS, 2024)

Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function. - Abhisek Tiwari; Muhammed Sinan; Kaushik Roy 009; Amit P. Sheth; Sriparna Saha 001; Pushpak Bhattacharyya (ECML/PKDD (8), 2024)

Neurosymbolic AI for Enhancing Instructability in Generative AI. - Amit P. Sheth; Vishal Pallagani; Kaushik Roy 009 (IEEE Intell. Syst., 2024)

Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How). - Amit P. Sheth; Kaushik Roy 009 (IEEE Intell. Syst., 2024)

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. - Revathy Venkataramanan; Aalap Tripathy; Tarun Kumar; Sergey Serebryakov; Annmary Justine; Arpit Shah; Suparna Bhattacharya; Martin Foltin; Paolo Faraboschi; Kaushik Roy 009; Amit P. Sheth (Frontiers Big Data, 2024)

Civilizing and Humanizing Artificial Intelligence in the Age of Large Language Models. - Amit P. Sheth; Kaushik Roy 009; Hemant Purohit; Amitava Das 001 (IEEE Internet Comput., 2024)

RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines. - Chathurangi Shyalika; Kaushik Roy 009; Renjith Prasad; Fadi El Kalach; Yuxin Zi; Priya Mittal; Vignesh Narayanan; Ramy F. Harik; Amit P. Sheth (Sensors, 2024)

NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems. - Amit P. Sheth; Vedant Khandelwal; Kaushik Roy 009; Vishal Pallagani; Megha Chakraborty (IEEE Intell. Syst., 2025)

Cognitive Neurosymbolic Artificial Intelligence for Complex Decision-Making: Integrating Foundation Models, Cognitive Architectures, and Knowledge. - Yuxin Zi; Kaushik Roy 009; Amit P. Sheth (IEEE Intell. Syst., 2025)

Composite AI With Custom, Compact, Neurosymbolic Models: The Emergent Enterprise Artificial Intelligence Paradigm. - Amit P. Sheth; Kaushik Roy 009; Revathy Venkataramanan; Venkatesan Nadimuthu; Chathurangi Shyalika (IEEE Internet Comput., 2025)

Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments - The Depression and Anxiety Case. - Kaushik Roy 009; Harshul Surana; Darssan Eswaramoorthi; Yuxin Zi; Vedant Palit; Ritvik Garimella; Amit P. Sheth (CoRR, 2025)

NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews. - Vedant Khandelwal; Kaushik Roy 009; Valerie Lookingbill; Ritvik Garimella; Harshul Surana; Heather Heckman; Amit P. Sheth (CoRR, 2025)