Events related to Department of Computer Science and Engineering
Department of Computer Science and Engineering (CSE)
Research and Technology Forum 2024
Computer Science and Engineering Seminar
- "Federated Learning in Medical Imaging: Challenges, Algorithms, and Framework"
Computer Science and Engineering Seminar
- "Human-AI Co-Creation of Visual Communication"
Computer Science and Engineering Online Seminar
- "Evaluating and Designing Computing Systems for the Future of Work"
Computer Science and Engineering Seminar
- "Towards Sustainable Scale-Up of LLMs"
Computer Science and Engineering Online Seminar
- "Effective Utilization of Machine Learning Marketplaces"
Computer Science and Engineering Seminar
- "InfiAgent: A Multi-Tool Agent for AI Operating Systems"
Computer Science and Engineering Seminar
- "Designing Algorithms for Massive Graphs"
Computer Science and Engineering Seminar
- "Designing Networked Graphics Systems for Fully Mobile Hyperrealistic Telepresence"
Computer Science and Engineering Seminar
- "Design and Deployment of AI-powered Internet of Things Systems for Smart Health"
Computer Science and Engineering Seminar
- "Optimization in the Real World without Gradients: Theory and Practice"
Computer Science and Engineering Online Seminar
- "Secure Runtime Programmable Networked Systems"
Computer Science and Engineering Online Seminar
- "Trustworthy Machine Learning under Social and Adversarial Data Sources"
Computer Science and Engineering Seminar
- "Towards Helpful, Honest, and Harmless Information Communication with Human-Model Alignment and Multi-Cultural Understanding"
Department of Computer Science and Engineering Distinguished Seminar
- "Supporting Real-time Analytics over Big Streaming Data"
Computer Science and Engineering Seminar
- "Sampling Algorithms for Gibbs Distributions"
Computer Science and Engineering Online Seminar
- "Intelligent Software in the Era of Deep Learning"
Computer Science and Engineering Seminar
- "Qwen: Towards a Generalist Model"
Computer Science and Engineering Seminar
- "Efficient Adaptation and Evaluation of LLMs"
