2024年7月2日–8月6日
其他活动形式
2024 Summer Research Program
The Summer Research Program is designed for outstanding end-of-year 3 undergraduate students who are interested in pursuing research postgraduate study in the School of Science. This program offers participants with the unique opportunity to immerse themselves in the research life at HKUST campus…
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8月3日
研讨会, 演讲, 讲座
Physics Department - Atomic Structure-properties Study of Defects in Emerging 2D Materials
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8月3日
研讨会, 演讲, 讲座
Department of Mathematics - IEDA/MATH Joint Seminar - Disintermediation of Financial Services: Promises and Risks
Blockchain is a distributed ledger technology built around the principles of transparency and decentralization. Initially conceived as the backbone technology for cryptocurrency payments, blockchain has expanded to support a large class of business applications.
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8月2日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - α-Carbonyl Functionalizations from Sulfoxonium Ylides and Diazo Compounds
Speaker: Professor Antonio C. B. BURTOLOSO Institution: Chemistry Institute, the University of São Paulo (São Carlos Campus), Brazil Hosted By: Professor Jianwei SUN
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8月1日
研讨会, 演讲, 讲座
Department of Chemistry Seminar - Palladium-Catalyzed Oxidation Reactions of Unsaturated Bonds
Speaker: Professor Huanfeng JIANG Institution: School of Chemistry and Chemical Engineering, South China University of Technology, China Hosted By: Professor Jianwei SUN
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7月27日
研讨会, 演讲, 讲座
Physics Department - Active Zero-Index/Meta-Optics and “Meta”-Optical Fibers
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7月26日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Applied Mathematics - Tackling high dimensional challenges in scientific computing (part 3)
In this mini-series of talks, we will survey some recent advances in utilizing advances in machine learning to help tackle challenging tasks in scientific computing, focusing on numerical methods for solving high dimensional partial differential equations and high dimensio
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7月26日
研讨会, 演讲, 讲座
Department of Industrial Engineering & Decision Analytics [Joint IEDA / MATH Seminar] -  - Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
Offline policy learning aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn the optimal individualized decision rule in a given class.
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7月26日
研讨会, 演讲, 讲座
Department of Mathematics - IEDA/MATH Joint Seminar - Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality
Offline policy learning aims at utilizing observations collected a priori (from either fixed or adaptively evolving behavior policies) to learn the optimal individualized decision rule in a given class.
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