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Past

  • Graph Representation Learning for Network Generation, Optimization, and Verbalization

    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…

  • New Efficient Machine Learning Methods: from Convolutional Neural Networks to Large Language Models

    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…

  • Physics-Motivated and Inspired Probabilistic Learning

    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.…

  • The Power of Opening the Black Box of Deep Learning

    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…

  • Data-Efficiency and Robustness in Machine Learning

    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…

  • Learning to Synthesize Images with Multimodal and Hierarchical Inputs

    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…

  • Achieving Compositional Safety and Security in IoT Environments

    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…

  • Ensuring Policy and Privacy Compliance of Voice Personal Assistant Applications

    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…

  • Collaborative IoT Communications, Networking and Beyond

    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…

  • Trustworthy Systems from Secure Computation and Verification

    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…