| 2024 | ICWSM | Reliability Analysis of Psychological Concept Extraction and Classification in User-Penned Text. | Muskan Garg, MSVPJ Sathvik, Shaina Raza, Amrit Chadha, Sunghwan Sohn |
| 2023 | ACL | An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts. | Muskan Garg, Amirmohammad Shahbandegan, Amrit Chadha, Vijay Mago |
| 2023 | ICPRAM | Towards Pattern Recognition with Network Science and Natural Language Processing for Information Retrieval. | Muskan Garg, Mukesh Kumar, Debabrata Samanta |
| 2023 | NLDB | LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts. | Muskan Garg, Chandni Saxena, Debabrata Samanta, Bonnie J. Dorr |
| 2023 | SMC | LoST: A Mental Health Dataset of Low Self-Esteem in Reddit Posts. | Muskan Garg, Manas Gaur, Raxit Goswami, Sunghwan Sohn |
| 2022 | ICONIP | Explainable Causal Analysis of Mental Health on Social Media Data. | Chandni Saxena, Muskan Garg, Gunjan Ansari |
| 2022 | ICWSM | Vision: Explainable Hidden Mental States as Influence Indicators. | Brodie Mather, Ian Perera, Vera A. Kazakova, Daniel E. Capecci, Muskan Garg, Damon L. Woodard, Bonnie J. Dorr |
| 2022 | LREC | CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts. | Muskan Garg, Chandni Saxena, Sriparna Saha, Veena Krishnan, Ruchi Joshi, Vijay Mago |
| 2022 | LREC | Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers. | Muskan Garg, Seema Wazarkar, Muskaan Singh, Ondrej Bojar |
| 2020 | COMSNETS | Finding summaries to obtain event phrases from streaming Microblogs using Word Co-occurrence Network. | Muskan Garg, Mukesh Kumar |