Pre-prints:
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
Tunazzina Islam, Dan Goldwasser. Preprint, 2024.
[arXiv]
Uncovering Latent Themes of Messaging on Social Media by Integrating LLMs: A Case Study on Climate Campaigns
Tunazzina Islam, Dan Goldwasser. Preprint, 2024.
[arXiv]
Refereed Conferences:
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging
Tunazzina Islam, Ruqi Zhang, Dan Goldwasser. 6th AAAI/ACM Conference on AI, Ethics, and Society 2023 (AIES-2023), 15–25. https://doi.org/10.1145/3600211.3604665. [Acceptance rate: 28.9%]
Oral Presentation, top 11%
[Paper link] [arXiv] [Slide]
Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
Tunazzina Islam, Shamik Roy, Dan Goldwasser. 17th International AAAI Conference on Web and Social Media (ICWSM-2023), 17(1), 411-422. [Acceptance rate: 20%]
[Paper link] [arXiv] [Slide]
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser. Findings of the Association for Computational Linguistics: ACL 2023
[Paper link] [arXiv]
A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
Maria Leonor Pacheco*, Tunazzina Islam*, Monal Mahajan, Andrey Shor, Ming Yin, Lyle Ungar, Dan Goldwasser. [ * Indicates equal contribution]
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2022), pages 5821–5839. [Acceptance rate: 21%]
[Paper link] [arXiv] [Slide]
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
Tunazzina Islam, Dan Goldwasser. 2022 IEEE International Conference on Big Data (IEEE BigData 2022), pp. 585-595, doi: 10.1109/BigData55660.2022.10021123. [Acceptance rate: 19.2%]
Also accepted at NLP for Positive Impact (NLP4PI 2022) workshop @EMNLP 2022 (Non-archival).
[Paper link] [arXiv] [Slide] [Poster @NLP4PI 2022]
Twitter User Representation Using Weakly Supervised Graph Embedding
Tunazzina Islam, Dan Goldwasser. 16th International AAAI Conference on Web and Social Media (ICWSM-2022), 16(1), 358-369. [Acceptance rate: 20%]
[Paper link] [arXiv] [Slide] [Featured as ACM-W Scholar]
Analysis of Twitter Users’ Lifestyle Choices using Joint Embedding Model
Tunazzina Islam, Dan Goldwasser. 15th International AAAI Conference on Web and Social Media (ICWSM-2021), 15(1), 242-253. [Acceptance rate: 20%]
[Paper link] [arXiv] [Slide] [Research Highlight]
Do You Do Yoga? Understanding Twitter Users’ Types and Motivations using Social and Textual Information
Tunazzina Islam, Dan Goldwasser. 2021 IEEE 15th International Conference on Semantic Computing (ICSC 2021), pp. 362-365. [Acceptance rate: 30%]
[Paper link] [arXiv] [Slide]
Refereed Workshops:
Interactively Uncovering Latent Arguments in Social Media Platforms: A Case Study on the Covid-19 Vaccine Debate
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar, Ming Yin, Dan Goldwasser. Fourth Workshop on Data Science with Human in the Loop: Language Advances (DASH @EMNLP 2022).
[Paper link]
Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information
Tunazzina Islam, Dan Goldwasser. KDDBHI at 2020 IEEE International Conference on Big Data (IEEE BigData 2020), pp. 4241-4249, doi: 10.1109/BigData50022.2020.9378461.
[Paper link] [arXiv] [Slide]
Ex-Twit: Explainable Twitter Mining on Health Data
Tunazzina Islam. 7th International Workshop on Natural Language Processing for Social Media SocialNLP 2019 @ IJCAI-2019.
[arXiv] [Slide]
Yoga-Veganism: Correlation Mining of Twitter Health Data
Tunazzina Islam. 8th International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM’19) co-located with KDD 2019.
[arXiv] [PDF] [Slide] [Visualization]
Papers related to Bioinformatics & Computational Biology:
Analysis of Subtelomeric REXTAL Assemblies Using QUAST
Tunazzina Islam, Desh Ranjan, Mohammad Zubair, Eleanor Young, Ming Xiao, Harold Riethman. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 18, no. 1, pp. 365-372, 1 Jan.-Feb. 2021, doi: 10.1109/TCBB.2019.2913845.
[Paper link] [PDF]
REXTAL: Regional Extension of Assemblies Using Linked-Reads
Tunazzina Islam, Desh Ranjan, Eleanor Young, Ming Xiao, Mohammad Zubair, Harold Riethman. 14th International Symposium on Bioinformatics Research and Applications (ISBRA 2018), pp. 63-78, doi: 10.1007/978-3-319-94968-0_6.
Also accepted as a poster at Grace Hopper Celebration of Women in Computing (GHC), September 2018, Houston, TX, USA.
[Paper link] [PDF] [Poster @GHC 2018] [Poster PDF @GHC 2018]
Nanopore Guided Assembly of Segmental Duplications near Telomeres
Eleni Adam, Tunazzina Islam, Desh Ranjan, Harold Riethman. 19th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2019), pp. 60-65, doi: 10.1109/BIBE.2019.00020.
[Paper link]
Quantification of Twist from the Central Lines of β-strands
Tunazzina Islam, Michael Poteat, Jing He. Journal of Computational Biology (JCB), 2018, 25 (1): 114-120, doi: 10.1089/cmb.2017.0174.
[Paper link] [PDF]
Protein Secondary Structure Detection using Pattern Recognition and Geometric Modeling
Tunazzina Islam, Jing He. ACM Richard TAPIA Celebration of Diversity in Computing, 2017, Atlanta, GA, USA. Won 2nd Prize in Tapia Student Poster Competition 2017.
[Poster PDF @TAPIA 2017] [Poster @TAPIA 2017]
A Method for Characterization of β-strand Twist from a 3-Dimensional Image of a Protein
Tunazzina Islam, Michael Poteat, Jing He. Computational Structural Bioinformatics Workshop (CSBW) 2017 in conjunction with ACM-BCB 2017, pp. 650-654, doi: 10.1145/3107411.3107507.
[Paper link] [PDF]
Papers related to High Performance Computing:
A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs
Kamesh Arumugam, Desh Ranjan, Mohammad Zubair, Balsa Terzic, Alexander Godunov, Tunazzina Islam. 46th International Conference on Parallel Processing (ICPP 2017), pp. 462-471, doi: 10.1109/ICPP.2017.55.
[Paper link]
Simulations of Coherent Synchrotron Radiation on Parallel Hybrid GPU/CPU Platform
Balsa Terzić, Kamesh Arumugam, Dallan Duffin, Alexander Godunov, Tunazzina Islam, Desh Ranjan, Sukesh Sangam, Mohammad Zubair. 8th International Particle Accelerator Conference (IPAC’17), May 2017, Copenhagen, Denmark.
[Poster PDF in Proceedings]
Particle deposition in grid according to Particle-In-Cell (PIC) Scheme using Graphical Processing Unit (GPU)
Tunazzina Islam, Mohammad Zubair. Grace Hopper Celebration of Women in Computing (GHC), October 2016, Houston, TX, USA.
[Poster PDF @GHC 2016] [Poster @GHC 2016]