學者及大學教授 / Academic / professor

費奔

大字係領域(由已登記職業/領域派生),唔係姓氏。

FEI Ben

領域:學者與科學家

據官方名冊嘅逐人紀錄:學位:PhD (FDU)。

According to the official record in cuhkFaculty: Degrees: PhD (FDU).

呢句係由下面〈官方紀錄〉嘅欄位直接串成,冇加入任何推斷;完整欄位同原文連結見該節。

繁體中文

費奔現為香港中文大學訊息工程學系研究助理教授,之前在同一學系任博士後研究員。他於復旦大學取得計算機科學博士學位,同期亦取得材料科學碩士學位,兩個學位分別代表計算方法同材料實驗兩邊嘅訓練。他的研究興趣包括三維電腦視覺、生成模型、多尺度建模、AI for Science,以及具身人工智能應用於科學(Embodied AI for Science)。三維電腦視覺處理點雲同深度資料,生成模型就負責由少量樣本產生合理嘅三維內容;多尺度建模處理唔同解析度之間嘅關係。呢幾項都指向同一個方向:用機器學習模型理解同生成三維世界,並把模型應用到材料等科學問題上。學系個人頁未列出具體論文題目,本條目只按頁面所載嘅學歷、職務同研究興趣書寫。他所屬嘅訊息工程學系,教研涵蓋通訊、網絡、訊號處理同資訊理論;學系個人頁只列教員嘅學歷、職務同研究方向,冇完整履歷。上述資料嘅查核日期為二○二六年十月二十九日;如有更新,以學系頁面為準。

English

Ben Fei is a research assistant professor in the Department of Information Engineering at The Chinese University of Hong Kong, where he was previously a postdoctoral researcher. He took a PhD in computer science and a master's degree in materials science at Fudan University, the two degrees representing training in computational methods on one side and materials experiments on the other. His research interests include three-dimensional computer vision, generative models, multi-scale modelling, AI for science and embodied AI for science. These point in one direction: using machine-learning models to understand and generate three-dimensional worlds and applying them to scientific problems such as materials. The departmental page does not list individual paper titles, so this entry follows the degrees, post and research interests recorded there.

官方紀錄 Official record

下列欄位逐字抄自官方名冊/院校紀錄嘅逐人頁(抓取日期 2026-10-29):https://www.ie.cuhk.edu.hk/faculty/fei-ben/。本站只列官方寫過嘅欄位,冇加任何推斷。

學位Degrees

PhD (FDU)

Fields above are copied verbatim from the official record linked here; the site adds no interpretation.

人物小檔 Profile

職業Occupation

Research Assistant Professor

資料整理日期 / Compiled: 2026-10-14

主要成就 Key Achievements

2019

在復旦大學取得材料科學碩士學位。

Completed a master's degree in materials science at Fudan University.

2023

在復旦大學取得計算機科學博士學位。

Completed a PhD in computer science at Fudan University.

影響與傳承 Impact & Legacy

繁體中文

費奔嘅研究把三維視覺同生成模型連上科學應用;材料科學碩士背景令佢可以用機器學習處理材料表徵同設計問題,屬 AI for Science 嘅典型組合。

English

Fei connects 3D vision and generative models to scientific applications; a master's in materials science lets him apply machine learning to materials characterisation and design, a typical combination in AI for science.

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