Azmine Toushik Wasi
Aspiring AI Researcher and Engineering Student


I have published and presented my work at prestigious conferences, including ICLR (A*), CSCW (A), and COLING (B), as well as workshops at CHI (A*), NeurIPS (A*), ACL (A*), AAAI (A*), ICML (A*), IISE (A), and others.
You can click on the keywords below to explore my research in specific areas.


📰 Conference Papers

  1. GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
    Azmine Toushik Wasi*, Taki Hasan Rafi*, Raima Islam, Karlo Šerbetar, Dong-Kyu Chae (*Equal Contribution)
    ACCV'24 ▪ [arXiv] ▪

  2. BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering
    Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Dong-Kyu Chae
    COLING'24 ▪ [ACL Anthology] ▪ [arXiv] ▪ [GitHub] ▪ ▪

  3. Neural Control System for Continuous Glucose Monitoring and Maintenance
    Azmine Toushik Wasi
    ICLR'24 Tiny Papers ▪ [OpenReview] ▪ [arXiv] ▪ [GitHub] ▪ ▪

  4. When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
    Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae
    ICLR'24 Tiny Papers ▪ [OpenReview] ▪ [arXiv] ▪ [GitHub] ▪

  5. DiaFrame: A Framework for Understanding Bengali Dialects in Human-AI Collaborative Creative Writing Spaces
    Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae
    CSCW'24 Posters ▪ [ACM DL] ▪ ▪ ▪ ▪


📔 Workshop Papers

  1. Explainable Identification of Hate Speech towards Islam using Graph Neural Networks
    Azmine Toushik Wasi
    EMNLP'24 → NLP for Positive Impact ▪ NeurIPS'23 → Muslims in ML ▪ [ACL Anthology] ▪ [arXiv] ▪ ▪ ▪

  2. Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI
    Mst Rafia Islam, Azmine Toushik Wasi (*Equal Contribution)
    HRAIM (Mila - Quebec) ▪ [arXiv] ▪ ▪

  3. HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation
    Azmine Toushik Wasi
    ACL'24 → KaLLM Workshop ▪ [ACL Anthology] ▪ [Youtube] ▪ ▪ ▪

  4. Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics
    Azmine Toushik Wasi, Mst Rafia Islam
    EMNLP'24 → NLP for Science ▪ ICML'24 → LLMs & Cognition ▪ [ACL Anthology] ▪ [arXiv] ▪ [Youtube] ▪ ▪ ▪ ▪

  5. Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives
    Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam, Taki Hasan Rafi, Dong-Kyu Chae
    CHI'24 → HEAL Workshop ▪ [arXiv] ▪ ▪ ▪

  6. LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning
    Azmine Toushik Wasi, Mst Rafia Islam, Raima Islam
    CHI'24 → In2Writing Workshop ▪ [ACM DL] ▪ [arXiv] ▪ ▪ ▪

  7. Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs
    Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam
    CHI'24 → In2Writing Workshop ▪ [ACM DL] ▪ [arXiv] ▪ ▪ ▪

  8. SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
    Azmine Toushik Wasi, MD Shafikul Islam Sohan, Adipto Raihan Akib
    AAAI'24 → GCLR Worksop ▪ [Paper Site] ▪ [arXiv] ▪ [GitHub] (~25⭐) ▪ ▪

  9. Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
    MD Shafikul Islam Sohan, Azmine Toushik Wasi
    NeurIPS'23 → New in ML ▪ [Paper Site] ▪ [arXiv] ▪ ▪


📑 Challenges & Shared Tasks

  1. RoBERTa Ensemble for Identifying Children’s Medical Disorders in English Tweets
    Azmine Toushik Wasi, Sheikh Ayatur Rahman
    ACL'24 → SMM4H Workshop Task: 5 ▪ [ACL Anthology] ▪ [Youtube]

  2. Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data
    Sheikh Ayatur Rahman, Azmine Toushik Wasi
    ACL'24 → SMM4H Workshop Task: 3 ▪ [ACL Anthology] ▪ [Youtube] ▪

  3. ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction
    Md Asif Bin Syed, Azmine Toushik Wasi, Imtiaz Ahmed
    IISE'23 → QCRE Data Challenge 2023 ▪ [Site] ▪ [Technical Report] ▪ [Code] ▪ ▪


📃 Pre-prints

  1. INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
    Angelika Romanou, ... , Azmine Toushik Wasi, ... , Sara Hooker, Antoine Bosselut
    ▪ [OpenReview] ▪ ▪ ▪

  2. Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
    Azmine Toushik Wasi, MD Shafikul Islam Sohan, Adipto Raihan Akib, Mahathik Muhammad Bappy
    ▪ [arXiv] ▪ [GitHub] ▪ ▪ ▪

  3. CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
    Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam, Serbetar Karlo, Dong-Kyu Chae
    ▪ [OpenReview] ▪ ▪

  4. ধরণী (Dhoroni): Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language Processing
    Azmine Toushik Wasi*, Wahid Faisal*, Taj Ahmad, Abdur Rahman, Mst Rafia Islam (*Equal Contribution)
    ▪ [arXiv] ▪ ▪

  5. Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
    ▪ [arXiv] ▪


📜 Works In Review

  1. Incorporating Gaussian Process in Neural Graph Learning
    Strengthening Graph Neural Networks with Statistical methods.

  2. Interpreting and Examining Cultural Bias in LLMs
    Investigating cultural bias in LLMs.

  3. Machine Learning Approach to Predict Input Parameters in The Fused Deposition Modeling Process
    Developing a ML model for predicting input parameters in FDM.

  4. Reevaluating Research Focus in Biases within LLMs
    Perspectives on reevaluating research focus for biases in LLMs.

  5. Evaluting LLM Evaluation in Practical Applications
    Rethinking evaluation of LLMs in practical applications.

  6. Intelligent Legal Document Reading with Smart Entity Mapping and Question Answering
    An innovative mobile app designed to revolutionize legal document analysis and comprehension.

  7. Exploring Cognitive Ergonomics Principles to Improve UI Design
    Aligning user interfaces with human cognitive processes.


📄 Ongoing Works

  1. Energy-guided Bimolecular Design
    Collaborating with Mila, I'm designing novel bio-molecules guided by energy functions.

  2. Geometric Generative Models for de novo RNA dsign
    Developing GNN-based models for RNA generation.

  3. Binder Affinity Prediction using GNNs
    Predicting binder affinity using Graph Neural Networks.

  4. Adaptive Optimal Oxygen Level Controller for Critical Patients
    Developing an optimal oxygen level controller for critical patients.

  5. A Large Scale Image to Product Description Dataset
    Developing a large scale product description dataset.