Peer-reviewed Conference Proceedings
For up to date list: Google Scholar Link
2024
To be updated
2023
Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Usman Naseem, and Mehwish Nasim. "NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse.", 26th European Conference on Artificial Intelligence ECAI 2023, Kraków, Poland. DOI: 10.3233/FAIA230535
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood and Mehwish Nasim. "Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications." The 5th Clinical Natural Language Processing Workshop at ACL 2023, Toronto, Canada. DOI: 10.18653/v1/2023.clinicalnlp-1.32
Kritesh Rauniyar, Shubham Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem and Mehwish Nasim. "Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease." The 5th Clinical Natural Language Processing Workshop at ACL 2023, Toronto, Canada. DOI: 10.18653/v1/2023.clinicalnlp-1.4
Aditya Shah, Surendrabikram Thapa, Aneesh Jain and Lifu Huang. "ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models." Fourth Workshop on Simple and Efficient Natural Language Processing at ACL 2023, Toronto, Canada. DOI: 10.18653/v1/2023.sustainlp-1.8
Farhan Ahmad Jafri, Mohammad Aman Siddiqui, Surendrabikram Thapa, Kritesh Rauniyar, Usman Naseem and Imran Razzak. “Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines.” MEDIATE workshop at the International AAAI Conference on Web and Social Media (ICWSM) 2023, Limassol, Cyprus. DOI: 10.36190/2023.23
Surendrabikram Thapa, Usman Naseem and Mehwish Nasim. "From Humans to Machines: Can ChatGPT-like LLMs Effectively Replace Human Annotators in NLP Tasks?" The D.A.R.E. Workshop at the International AAAI Conference on Web and Social Media (ICWSM) 2023, Limassol, Cyprus. DOI: 10.36190/2023.15
Aashish Bhandari*, Siddhant Bikram Shah*, Surendrabikram Thapa*, Usman Naseem and Mehwish Nasim. "CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict" Workshop on Multimodal Content Moderation (MMCM) co-located at CVPR 2023, Vancouver, Canada. DOI: 10.1109/CVPRW59228.2023.00193
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu and Mehwish Nasim. "MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation", 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 2023. DOI: 10.1145/3539618.3592019
Yogesh Deshpande, Surendrabikram Thapa, Abhijit Sarkar and Lynn Abbott. "Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos Using an Attention Network" Sixth International Workshop on Computer Vision for Physiological Measurement (CVPM) co-located at CVPR 2023, Vancouver, Canada. DOI: 10.1109/CVPRW59228.2023.00636
Fulan Li, Surendrabikram Thapa, Shreyas Bhat, Abhijit Sarkar and Lynn Abbott. "A Temporal Encoder-Decoder Approach to Extracting Blood Volume Pulse Signal Morphology from Face Videos" Sixth International Workshop on Computer Vision for Physiological Measurement (CVPM) co-located at CVPR 2023, Vancouver, Canada. DOI: 10.1109/CVPRW59228.2023.00635
Surendrabikram Thapa and Abhijit Sarkar. "GAN-based Deidentification of Drivers’ Face Videos: An Assessment of Human Factors Implications in NDS Data", 34th IEEE Intelligent Vehicles Symposium (IEEE IV), Alaska, USA, 2023. DOI: 10.1109/IV55152.2023.10186646
2022
Surendrabikram Thapa, Aditya Shah, Farhan Ahmad Jafri, Usman Naseem and Imran Razzak. "A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict", In Proceedings of the 2022 EMNLP workshop CASE: The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, Abu Dhabi, UAE, 2022. Paper Link: https://aclanthology.org/2022.case-1.1/
Surendrabikram Thapa, Julie Cook, and Abhijit Sarkar. "Deidentification of Drivers’ Face Videos: Scope and Challenges in Human Factors Research", In 66th Annual meeting of the Human Factors and Ergonomics Society, Atlanta, Georgia, 2022. DOI: 10.1177/10711813226613
2021
Surabhi Adhikari, Surendrabikram Thapa, Priyanka Singh, Angela Huo, Gnana Bharathy, and Mukesh Prasad. ”A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer’s Disease”, In 2021 International Joint Conference on Neural Networks (IJCNN), IEEE, Shenzhen, China, 2021. DOI: 10.1109/IJCNN52387.2021.9534449
2020
Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, and Mukesh Prasad. "Data-driven approach based on feature selection technique for early diagnosis of Alzheimer’s disease." In 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, pp. 1-8. IEEE, 2020. (CORE A Conference), DOI: 10.1109/IJCNN48605.2020.9207359
Surendrabikram Thapa, Surabhi Adhikari, Usman Naseem, Priyanka Singh, Gnana Bharathy, and Mukesh Prasad. "Detecting Alzheimer’s Disease by Exploiting Linguistic Information from Nepali Transcript." In 2020 International Conference on Neural Information Processing (ICONIP), Thailand, Springer, 2020 (CORE A Conference), DOI: 10.1007/978-3-030-63820-7_20
Surendrabikram Thapa, Surabhi Adhikari, Awishkar Ghimire, and Anshuman Aditya. "Feature Selection Based Twin-Support Vector Machine for the diagnosis of Parkinson's Disease." In 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), Malaysia, pp. 1-6. IEEE, 2020. (Won Best Student Paper Award), DOI: 10.1109/R10-HTC49770.2020.9356984
Journal Papers
2023
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, and Mehwish Nasim. "Incorporating historical information by disentangling hidden representations for mental health surveillance on social media", In Social Network Analysis and Mining (Springer). DOI: 10.1007/s13278-023-01167-9
Kritesh Rauniyar, Sweta Poudel, Shuvam Shiwakoti, Surendrabikram Thapa, Junaid Rashid, Jungeun Kum, Muhammad Imran, and Usman Naseem. "Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse", In IEEE Access (IEEE). DOI: 10.1109/ACCESS.2023.3342154
Surendrabikram Thapa, and Surabhi Adhikari "ChatGPT, Bard, and Large Language Models for Biomedical Research: Opportunities and Pitfalls", In Annals of Biomedical Engineering (Springer). DOI: 10.1007/s10439-023-03284-0
Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Hai Ya Lu, Gnana Bharathy, and Mukesh Prasad "Explainable Hybrid Word Representations for Sentiment Analysis of Financial News", In Neural Networks (Elsevier), DOI: 10.1016/j.neunet.2023.04.011
2022
Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Priyanka Singh, Angela Huo, Gnana Bharathy, and Mukesh Prasad ”Exploiting Linguistic Information from Nepali Transcripts for Early Detection of Alzheimer’s Disease using the State-of-the-art Techniques of Machine Learning and Natural Language Processing”, In International Journal of Human-Computer Studies (Elsevier), DOI: 10.1016/j.ijhcs.2021.102761
Reports
Surendrabikram Thapa, Julie Cook, and Abhijit Sarkar. "Face De-identification of Drivers from NDS Data and Its Effectiveness in Human Factors". Research report, National Surface Transport Safety Center for Excellence (NSTSCE). URL: http://hdl.handle.net/10919/116011
Surendrabikram Thapa and Sofia Vallecorsa. “Deep Learning for Disaster Relief: Generating Synthetic High-Resolution Images”. CERN, Zenodo, December 8, 2020. DOI: 10.5281/zenodo.4311206