Taki Hasan Rafi

Bio

I'm a Ph.D. Candidate in Computer Science at Hanyang University (HYU), where I am working at the Data Intelligence Lab with Prof. Dong-Kyu Chae. Before joining HYU, I received my bachelor's degree in Electrical Engineering from Ahsanullah University of Science and Technology, Bangladesh in 2021. My Ph.D. is supported by Brain Korea 21 (NRF) and Samsung Electronics! I'm a research collaborator at Oracle, USA.

My research primarily focuses on Trustworthy AI, to build reliable, robust, and safe intelligent systems. I have recently been working on Generative AI (diffusion, VLMs, and LLMs) in reliable clinical applications.

Reliability and Robustness: Test-Time Adaptation, Domain Generalization, and Graph Learning. [CIKM 2025, DASFAA 2025a, DASFAA 2025b, ACCV 2024]

Safety: LLM and Multimodal Models, Bias Assessment and Mitigation, and Low-Resource Languages. [ACL 2025a, ACL 2025b, NAACL 2025]

Recent News

One paper gets accepted at CIKM 2025! thanks to the Oracle team Amit and Hitesh.

Three papers get accepted at CSCW 2025! thanks to Wasi and Wahid.

Two papers get accepted at ACL 2025! including one Main and one Findings.

Successfully passed the Ph.D. Candidacy Exam!

Received a PhD research Intersnship offer from Infosys for 6 months residency. But declined the offer due to visa issue.

Serving as a Session Chair at NAACL 2025!

Serving as a Reviewer at ACM MM 2025, ACL 2025 (Industry Track), ACL ARR!

One paper gets accepted at NAACL 2025!

Three papers get accepted at DASFAA 2025!

One paper gets accepted at WWW 2025!

Selected Recent Papers

[C7] Towards Robust Continual Test-Time Adaptation via Neighbor Filtration
Taki Hasan Rafi, Amit Agarwal, Hitesh Patel, Dong-Kyu Chae
In. CIKM 2025, Seoul, South Korea

[C6] Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
Samuel Cahyawijaya, Holy Lovenia,..., Taki Hasan Rafi,..., Peerat Limkonchotiwat
In. ACL 2025 (Main), Vienna, Austria

[C5] MVTamperBench: Evaluating Robustness of Vision-Language Models
Amit Agarwal, Srikant Panda, Angeline Charles, Bhargava Kumar, Hitesh Patel, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Hansa Meghwani, Karan Gupta, Dong-Kyu Chae
In. ACL 2025 (Findings), Vienna, Austria

[C4] SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
Hitesh Laxmichand Patel, Amit Agarwal, Arion Das, Bhargava Kumar, Srikant Panda, Priyaranjan Pattnayak, Taki Hasan Rafi, Tejaswini Kumar, Dong-Kyu Chae
In. NAACL 2025 (Industry), New Mexico, USA

[C3] Instance-Aware Test-Time Adaptation for Domain Generalization
Taki Hasan Rafi, Serbeter Karlo, Amit Agarwal, Hitesh Patel, Bhargava Kumar, and Dong-Kyu Chae
In. DASFAA 2025, Singapore City, Singapore

[C2] Gaussian Regularization in Neural Graph Learning
Azmine Toushik Wasi, Taki Hasan Rafi, Dong-Kyu Chae
In. DASFAA 2025, Singapore City, Singapore

[C1] GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution
Azmine Toushik Wasi*, Taki Hasan Rafi*, Serbeter Karlo, Raima Islam, and Dong-Kyu Chae (*=Equal contributions)
In. ACCV 2024, Hanoi, Vietnam