Dr. Karen Works Won AnitaB.org Advancing Inclusion Faculty Scholarship
Published: | 7:34 pm | Posted in: News
Dr. Karen Works, Teaching I Professor, Online Computer Science undergraduate program, has won an AnitaB.org Advancing Inclusion Faculty Scholarship to virtually attend the Grace Hopper Celebration 2024 (GHC 24). For the last 37 years AnitaB.org has been connecting women and non-binary individuals who are interested in computer science and technology. This community has blossomed over the years and now […]
Weikuan Yu Awarded a New NSF Grant on Scheduling and Checkpoint/Restart Support for Deep Learning Applications
Published: | 12:30 pm | Posted in: News
Weikuan Yu, Professor in the FSU Department of Computer Science, has been awarded a grant of $225K for research on efficient and robust checkpoint/restart support for deep learning from the National Science Foundation. This is a joint project in collaboration with Prof. Bin Ren from the College of William & Mary and Prof. Wei Niu […]
Guang Wang (PI) and Weikuan Yu (co-PI) Awarded a New NSF Grant
Published: | 2:43 pm | Posted in: News
FSU Department of Computer Science faculty Guang Wang and Weikuan Yu, and Eren Erman Ozguven at Civil Engineering have been awarded a new NSF grant titled “Collaborative Research: Frameworks: MobilityNet: A Trustworthy CI Emulation Tool for Cross-Domain Mobility Data Generation and Sharing towards Multidisciplinary Innovations”. The project is a collaborative effort between Rutgers, UCLA, and […]
New Efficient Machine Learning Methods: from Convolutional Neural Networks to Large Language Models
Published: | 1:38 pm | Posted in: Events
Speaker: Shangqian Gao Date: Apr 3, 11:45am–12:45pm Abstract: Recently, Machine Learning and Artificial Intelligence have achieved significant success in various domains, such as playing GO, ChatGPT, recommendation systems, autonomous driving, etc. However, the model architectures behind these accomplishments have grown increasingly larger, posing challenges in computation, storage, and memory costs. Motivated by the need for […]
Physics-Motivated and Inspired Probabilistic Learning
Published: | 3:15 pm | Posted in: Events
Speaker: Shibo Li Date: Apr 1, 11:45am–12:45pm Abstract: AI has emerged as the most transformative and revolutionary technique, reshaping many aspects of our lives. Its intersection with science, particularly physics, has opened new avenues for understanding our world and universe. This understanding is grounded in centuries of exploration by brilliant minds. Physics studies today predominantly […]
Dr Te-Yen Wu Published Two Full Papers in Top Human-Computer Interaction (HCI) conference
Published: | 3:58 pm | Posted in: News
Dr. Te-Yen Wu, an Assistant Professor in the Computer Science Department, has published two research papers about computational materials in Top HCI conference (CHI-24). These work are coauthored with students and faculty in Simon Fraser University. Dr.Te-Yen Wu is the last author, the corresponding author, in these papers. The first paper is titled with “Tagnoo: […]
FSU Computer Science Professor Guang Wang’s Reinforcement Learning Work Published at Top Artificial Intelligence Conference
Published: | 3:57 pm | Posted in: News
Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been recently published in the prestigious Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). AAAI is recognized as one of the top conferences in the field of artificial intelligence. The paper title is “NondBREM: Nondeterministic Offline Reinforcement Learning for Large-scale […]
The Power of Opening the Black Box of Deep Learning
Published: | 2:54 pm | Posted in: Events
Speaker: Chaoyue Liu Date: Mar 29, 11:45am–12:45pm Abstract: We are now observing an ongoing “AI spring” powered by the emergence and successful implementation of deep neural network models. However, neural networks are often considered as black box models lacking a theoretical and fundamental understanding, leaving deep learning mostly driven by heuristics, not interpretable and not […]
FSU Computer Science Professor Ang Li’s Theoretical Causal Inference Work Published at Top Artificial Intelligence Conference
Published: | 2:45 pm | Posted in: News
Dr. Ang Li, an Assistant Professor in the Computer Science Department, and his research lab have recently published their work in the prestigious Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). AAAI is recognized as one of the top conferences in the field of artificial intelligence. Their research paper, titled “Probabilities of Causation with Nonbinary Treatment […]
FSU Computer Science Professor Ang Li Introduces Causality-based Decision-making Model at Leading Artificial Intelligence Conference
Published: | 2:44 pm | Posted in: News
Dr. Ang Li, an Assistant Professor in the Computer Science Department, and his research lab have recently published their work in the prestigious Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24). AAAI is recognized as one of the top conferences in the field of artificial intelligence. Their research paper, titled “Unit Selection with Nonbinary Treatment and […]