Towards Efficient and Practical Privacy-Preserving Computing and AI
Published: | 10:03 pm | Posted in: Events
Speaker: Qian Lou Date: Nov 22, 2:05pm – 3:15pm Abstract: With growing reliance on cloud-based Machine Learning as a Service (MLaaS), privacy concerns are escalating, particularly in fields like healthcare and finance. For instance, clinicians and researchers use AI models to analyze electronic health records for insights into conditions such as depression and Alzheimer’s disease. […]
Incredible Yet Limited Large Language Models in the Wild
Published: | 3:43 pm | Posted in: Events
Speaker: Hanjie Chen Date: Nov 8, 2:05pm – 3:15pm Abstract: Large language models (LLMs) demonstrate remarkable capabilities in handling a wide range of tasks, from generating human-like text to answering complex questions. Despite achieving remarkable performance on existing benchmarks, the effectiveness and limitations of LLMs in realistic scenarios remainlargely underexplored. In this talk, I will […]
Responsible Graph Machine Learning Under a Fairness Lens
Published: | 4:30 pm | Posted in: Events
Speaker: Yushun Dong Date: Nov 1, 2:15 – 3:05 pm Abstract: Graph learning algorithms have been increasingly deployed in a plethora of real-world applications, such as epidemic analysis, healthcare, and financial analysis. Nevertheless, there has been a rise in societal concerns about the algorithmic bias that these algorithms may exhibit. In certain high-stakes applications of […]
The Age of Creative Machines: Their Rise, Impact, and Vision for the Future
Published: | 4:24 pm | Posted in: Events
Speaker: Maya Ackerman Date: Oct 25, 2:15 – 3:05 pm Abstract: What happens when machines become creative? How did creative machines evolve from their beginnings in academia to their industry proliferation? While this shift has sparked excitement, it has also introduced significant challenges, from copyright disputes to the spread of misinformation. What lies at the […]
Harnessing Explainable, Equitable, and Actionable Informatics and AI to Improve Health
Published: | 4:16 pm | Posted in: Events
Speaker: Zhe He Date: Oct 18, 2:15 – 3:05 pm Abstract: Over the past two decades, data science and artificial intelligence (AI) have significantly transformed biomedical research and healthcare. The growing availability of large-scale data, such as electronic health records (EHRs), combined with advancements in computational power, has unlocked new opportunities to address complex challenges […]
Graph Representation Learning for Network Generation, Optimization, and Verbalization
Published: | 4:11 pm | Posted in: Events
Speaker: Liang Zhao Date: Oct 4, 2:05pm – 3:15pm Abstract: Graphs are ubiquitous data structure that denotes entities and their relations, such as social networks, citation graphs, and neural networks. The topology of graphs is discrete data which prevents it from enjoying numerous mathematical and statistical tools that requires structured data. Graph representation learning aims […]
Dr. Zhenghao Zhang has a paper accepted at The 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys 2024)
Published: | 4:26 pm | Posted in: News
Dr. Zhenghao Zhang has a paper accepted at The 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys 2024) as the primary faculty author. SenSys is a flagship conference in Mobile Computing. The paper, titled “StarAngle: User Orientation Sensing with Beacon Phase Measurements of Multiple Starlink Satellites,” is authored by Dr. Zhenghao Zhang and his […]
Dr. Shayok Chakraborty has a paper accepted at NeurIPS 2024
Published: | 6:40 pm | Posted in: News
Dr. Shayok Chakraborty has a paper accepted at the Neural Information Processing Systems (NeurIPS) 2024 conference. NeurIPS is a flagship conference in machine learning and AI. The paper is titled “Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism” and is in collaboration with Prof. Yi Liu at Stony Brook University. Ronast Subedi, […]
Dr. Shayok Chakraborty organized an AI Workshop for high school students in Summer 2024
Published: | 1:51 pm | Posted in: News
As part of the educational activities of his NSF CAREER project, Dr. Shayok Chakraborty organized an AI workshop (in the CS department at FSU) for high school students in July 2024. The workshop was held for 5 days, and covered the fundamentals of AI and deep learning, the recent research in this area, a few […]
Weikuan Yu Awarded a New Grant for Efficient Scientific Workflows from Lawrence Livermore National Lab
Published: | 3:22 pm | Posted in: News
Weikuan Yu, Professor in the FSU Department of Computer Science, has been awarded a grant of $95K for research on scientific workflow characterization and optimization from Lawrence Livermore National Lab (LLNL). The project, titled as “Enabling Efficient Checkpoint/Restart for Scientific Workflows“, aims to characterize the performance critical stages of big scientific workflows and propose efficient […]