Events

12 May 2025
AI Research in Industry—Some Topics that are Deprecated, Being Depreciated, and To be Depreciated
08 Apr 2025
Toward Secure AI Systems
02 Apr 2025
Controllable Generative Models: Efficient Fine-Tuning, Generative Optimization, and Trustworthy AI
25 Mar 2025
A Preliminary Exploration to Learnware
學件的初步探索
19 Mar 2025
Macau in the Age of AI: Innovation and Transformation
人工智慧浪潮下澳門的創新與突破
14 Mar 2025
Fast to Slow: From System 1 to System 2 Reasoning in LLMs
05 Mar 2025
Development and Outlook on global digital agriculture：An AI-driven tech transformation
全球數位農業的發展與展望：人工智慧驅動的技術變革
04 Mar 2025
Understanding Distribution Learning of Diffusion Models via Low-Dimensional Modeling
14 Jan 2025
The Conscious Agent
10 Jan 2025
Data-Efficient AI and Multimodal Learning: Unlocking the Potential of Mobile Sensing for Health Insights
05 Dec 2024
Watermarking Large Language Models
05 Dec 2024
Human Behavior Understanding: from Visible to Invisible, then Generative
05-07 Dec 2024
Macao Symposium on Cloud Computing and Intelligent Driving (CCID 2024)
19 Nov 2024
Exploring Trustworthy Foundation Models under Imperfect Data
07 Nov 2024
UM Teaching Excellence Award Seminar: “Educating with AI: Dual Pathways in Learning and Teaching”
澳門大學卓越教學獎講座： “人工智能教育：學與教雙並行”
10 Oct 2024
NLP2CT: Advances in Large Language Models and Data-Centric AI: Insights from HIT Shenzhen
26 Sep 2024
Modeling and Simulation-Based System for Large AI Model Deployment Planning, Problem Localization, and Optimization
25 Sep 2024
Out-of-Distribution Detection: Theory and Algorithm
09 Sep 2024
Optimal Dynamic Parameterized Subset Sampling
03 Sep 2024
A matrix version of the Steinitz lemma
23 Aug 2024
On big data analytic with applications to AI driven brain healthcare and logistics
20 Aug 2024
Advances in Efficient Video Understanding: From Action Detection to Semantic Segmentation and Long-Term Comprehension
16 Aug 2024
A Song of Ice and Fire: Image Tampering Techniques in the Age of Large Generative Models
14 Aug 2024
AI for Economics
08 Aug 2024
High Performance Systems for Large-scale AI Computing