计算器科学及工程学系相关活动
计算器科学及工程学系 (CSE)
Computer Science and Engineering Seminar
- "Finding Best Tuple via Interaction from Users with Errors"
Computer Science and Engineering Seminar
- "Fundamentals of Privacy as Contextual Integrity"
Computer Science and Engineering Seminar
- "Security-Enhanced Radio Access Networks for 5G OpenRAN"
Computer Science and Engineering Seminar
- "Security-Enhanced Radio Access Networks for 5G OpenRAN"
Computer Science and Engineering Seminar
- "Advancing Ambient Intelligence with AIoT Systems for Smart Health"
Computer Science and Engineering Seminar
- "Towards More Accessible Tools for Content Creation"
Computer Science and Engineering Seminar
- "Faster priority ordered irregular parallelism through hardware and software"
Computer Science and Engineering Seminar
- "Navigating the non-convex landscape via amplifying escape directions of saddle points"
Computer Science and Engineering Seminar
- "AI and LLM for Finance: Optimizing Large Language Models for Chinese Stock Market Prediction and Investment Advisory for Retail Investors"
Computer Science and Engineering Seminar
- "Using Deep Learning for Coding Tasks"
Department of Computer Science and Engineering Distinguished Seminar
- "The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG)"
Computer Science and Engineering Seminar
- "A Road Towards an Interaction between Cyber Security and AIGC"
Computer Science and Engineering Seminar
- "Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control"
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"
https://cse.hkust.edu.hk/pg/seminars/
- "Making Machine Learning Trustworthy in Vision Tasks"
Computer Science and Engineering Seminar
- "Exploring Trustworthy Machine Learning under Imperfect Data"
