Dr. Grigory Fedyukovich has a paper accepted at OOPSLA

Published: | 7:42 am | Posted in: News | Leave a comment

Dr. Grigory Fedyukovich has a paper accepted at OOPSLA Dr. Grigory Fedyukovich has a paper accepted at the 2025 ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages & Applications (OOPSLA). The paper, titled “A Flow-Sensitive Refinement Type System for Verifying eBPF Programs”, is co-authored by PhD students Ameer Hamza and Lucas Zavalia. The paper presents […]

Dr. Shayok Chakraborty has a paper accepted at EMNLP 2025

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Dr. Shayok Chakraborty has a paper accepted at EMNLP 2025 Dr. Shayok Chakraborty has a paper accepted at the Empirical Methods in Natural Language Processing (EMNLP) Findings 2025, a top tier conference in NLP. The paper is titled “MediVLM: A Vision Language Model for Radiology Report Generation from Medical Images”. All the authors of this […]

Unleashing the Power of Graph-Based Machine Learning as a Service

Published: | 8:01 am | Posted in: Events | Leave a comment

Speaker: Yushun Dong

Date: Sep 5, 2:15 – 3:05 pm

Abstract: The exponential growth of graph-structured data has created an unprecedented demand for graph learning capabilities across industries, yet domain experts face formidable barriers: massive computational requirements, prohibitive model costs, and complex infrastructure management.

FSU students from Dr. Gubanov’s lab presented at the IEEE International Conference on Data Engineering (ICDE)

Published: | 11:11 am | Posted in: News, Student Recognition | Leave a comment

A paper led by FSU students from Dr. Gubanov’s lab was presented at the IEEE International Conference on Data Engineering (ICDE), one of the leading venues in Data Science. The paper titled “Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured Large-scale Datasets using Contrastive Learning,” led by FSU graduate students Bhim Kandibedala and Gyanendra Shrestha, along […]

Dr. Guang Wang has a paper accepted by KDD 2025

Published: | 7:29 pm | Posted in: News | Leave a comment

Dr. Guang Wang has a paper accepted by KDD 2025 Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been published by The 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2025) Applied Data Science track. The acceptance rate is 22%. This research paper […]

Dr. Guang Wang has another paper accepted by IJCAI 2025

Published: | 7:28 pm | Posted in: News | Leave a comment

Dr. Guang Wang has another paper accepted by IJCAI 2025 Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been accepted by in the the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) AI and Social Good track. The acceptance rate is 18.5%. The paper title is […]

Dr. Guang Wang has a paper accepted by IJCAI 2025

Published: | 7:26 pm | Posted in: News | Leave a comment

Dr. Guang Wang has a paper accepted by IJCAI 2025 Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been accepted by in the the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025) Human-Centered AI track. The acceptance rate is 8%. The paper title is “HCRide: Harmonizing […]

Dr. Guang Wang has a paper accepted by ACL 2025

Published: | 7:12 pm | Posted in: News | Leave a comment

Dr. Guang Wang has a paper accepted by ACL 2025 Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been published by Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Industry track. The acceptance rate is 26%. This research paper is titled […]

Dr. Yushun Dong Has Four Papers Accepted by Top AI/ML Conference

Published: | 2:26 pm | Posted in: News | Leave a comment

ICML 2025: Dr. Yushun Dong’s team presented CEGA (Cost-Effective Graph Acquisition) at the International Conference on Machine Learning, one of the most prestigious venues in machine learning research. The work addresses a critical gap in graph-based model extraction attacks under realistic budget constraints, where bulk queries are prohibited. CEGA introduces an innovative node querying strategy […]