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 […]
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. […]