Events related to Department of Computer Science and Engineering
Department of Computer Science and Engineering (CSE)
CSE Best PhD Dissertation Award Seminar
- "Practical Data Analytics under Differential Privacy"
Computer Science and Engineering Seminar
- "Data Reliability and Reduction Efficiency in Big Data Era"
Computer Science and Engineering Distinguished Seminar
- "Research and Application of Artificial Intelligence in Pathological and Genomic Computing"
Computer Science and Engineering Seminar
- "Making Machine Learning Trustworthy in Vision Tasks"
Computer Science and Engineering Seminar
- "Exploring Trustworthy Machine Learning under Imperfect Data"
Computer Science and Engineering Seminar
- "Guidance-Enriched User Interfaces that Enhance Visual Data Analysis"
Computer Science and Engineering Seminar
- "Next Generation Video Streaming"
Computer Science and Engineering Distinguished Seminar
- "Medical Artificial Intelligence: A Perspective of Tencent"
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"
