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 […]
Data-Efficiency and Robustness in Machine Learning
Published: | 3:25 pm | Posted in: Events
Speaker: Shiwei Zeng Date: Mar 27, 11:45am–12:45pm Abstract: Machine learning has been a powerful tool in the modern world. In the past decades, due to the explosion of unverified data sources, and the increasing interaction between human and computer, it is of concern whether machine learning algorithms are robust to data corruption or even adversarial […]
Final-year graduate student Jiyang Bai had his graph summarization work accepted in VLDB’24
Published: | 1:46 pm | Posted in: Student Recognition
Jiyang Bai, a PhD candidate in the Computer Science department, under the guidance of Dr. Peixiang Zhao, has recently made a significant contribution to large-scale graph summarization by publishing their work in the 50th International Conference on Very Large Databases (VLDB’24), which will be held in Guangzhou China in late August, 2024. This research paper […]
Learning to Synthesize Images with Multimodal and Hierarchical Inputs
Published: | 1:46 pm | Posted in: Events
Speaker: Yu Zeng Date: Mar 25, 11:45am–12:45pm Abstract: In recent years, the field of image synthesis and manipulation has experienced remarkable advancements driven by the success of deep learning methods and the availability of Web-scale datasets. Despite this progress, most current approaches predominantly rely on generating images based on simplistic inputs such as text and […]
Achieving Compositional Safety and Security in IoT Environments
Published: | 2:55 pm | Posted in: Events
Speaker: Muslum Ozgur Ozmen Date: Mar 8, 11:45am–12:45pm Abstract: The Internet of Things (IoT) systems include sensors that measure the physical world, actuators that influence it, and IoT apps that automate these sensors and actuators. While IoT environments have revolutionized our lives by integrating digital connectivity into physical processes, they have also become attractive targets […]
Ensuring Policy and Privacy Compliance of Voice Personal Assistant Applications
Published: | 1:18 pm | Posted in: Events
Speaker: Song Liao Date: Mar 6, 11:45am–12:45pm Abstract: Voice personal assistants (VPAs) such as Amazon Alexa and Google Assistant are rapidly gaining popularity in both domestic and business. Today’s VPA services have been largely expanded by allowing third-party developers to build voice apps (named “skill” in the Amazon Alexa platform) and publish them to marketplaces. […]
Collaborative IoT Communications, Networking and Beyond
Published: | 1:29 pm | Posted in: Events
Speaker: Xin Liu Date: Mar 5, 11:45am–12:45pm Abstract: The rapid expansion of IoT technology is revolutionizing a wide array of applications, from smart homes and transportation to logistics, significantly enhancing our daily life quality. By 2030, it is projected that each individual will interact with between 300 to 500 IoT devices daily. However, enabling seamless […]
Trustworthy Systems from Secure Computation and Verification
Published: | 3:15 pm | Posted in: Events
Speaker: Chenkai Weng Date: Mar 4, 11:45am–12:45pm Abstract: With the advancement of digital globalization and the enhancement of privacy regulations, a conflict between centralized computing and distributed information is emerging. It becomes increasingly important to verify or compute distributed information while protecting privacy and integrity. In this talk, I will first introduce my research that […]
Causal Machine Learning: Continuous Structure Learning and Identifiability of Causal Invariances
Published: | 9:31 pm | Posted in: Events
Speaker: Kevin Bello Date: Mar 1, 11:45am–12:45pm Abstract: Interpretability and causality are key desiderata in modern machine learning systems. Graphical models, and more specifically directed acyclic graphs (DAGs, a.k.a. Bayesian networks), serve as a well-established tool for expressing interpretable causal relationships. However, the task of estimating DAG structures from data poses a significant challenge, given […]
Michael Gubanov (PI) and Grigory Fedyukovich (co-PI) Awarded a $550,000 NSF Grant to Support Web-scale Knowledge Graph Construction for Data Science
Published: | 7:54 pm | Posted in: News
FSU Department of Computer Science faculty Michael Gubanov and Grigory Fedyukovich have been awarded a new NSF grant for the project “Search for the Unknown – A Hybrid Scalable Data Management System Providing Deep Access to the Scientific Knowledge in Data Science”. The project is a collaborative effort between FSU and USF. It is expected to […]