Newsletter No. 442

442 • 4.9.2014 7 宣布事項 Announcements 新任學院院長 New Faculty Deans 大學校董會通過院長遴選委員會的推 薦，委任下列兩位新任學院全職院長，任 期皆為五年： • 金融研究學者陳家樂教授出任工商管 理學院院長，於2014年11月4日到任； • 著名行為科學家趙志裕教授出任社會 科學院院長，於2014年11月11日到任。 The Council of The Chinese University of Hong Kong ha s approved the recommendations of the Search Committees for the appointments of the following deans for a term of five years on a full-time basis: • Prof. Chan Ka-lok, a top finance researcher, as Dean of Business Administration with effect from 4 November 2014; • Prof. Chiu Chi-yue, an internationally renowned behavioural scientist, as Dean of Social Science with effect from 11 November 2014. 公積金計劃投資回報成績 Investment Returns of Staff Superannuation Scheme 基金 Fund 7.2014 1.8.2013–31.7.2014 未經審核數據 Unaudited 指標回報 Benchmark Return 未經審核數據 Unaudited 指標回報 Benchmark Return 增長 Growth 1.36% 1.29% 15.41% 15.55% 平衡 Balanced 0.33% 0.52% 9.35% 13.00% 穩定 Stable 0.09% –0.20% 7.70% 8.07% 香港股票 HK Equity 6.54% 6.98% 17.45% 17.06% 香港指數 HK Index-linked 7.37% 7.46% 16.91% 17.86% A50中國指數 ∆ A50 China Tracker ∆ 13.82% 12.35% 10.43% 12.66% 港元銀行存款 HKD Bank Deposit 0.14% 0.001% 1.33% 0.01% 美元銀行存款 * USD Bank Deposit* 0.12% 0.01% 1.21% 0.03% 澳元銀行存款 * AUD Bank Deposit* –1.09% –1.24% 6.91% 4.88% 歐元銀行存款 * EUR Bank Deposit* –2.18% –2.20% 0.94% 0.66% 強積金數據請參閱： www.cuhk.edu.hk/bursary/chi/public/payroll_benefits/mpf.html For MPF Scheme performance, please refer to: www.cuhk.edu.hk/bursary/eng/public/payroll_benefits/mpf.html Δ Δ 根據受託人最近的決定，現時A50中國指數基金當中的投資組合，將由並非直接持有「A股」的「安碩A50」 〔股份代號：2823〕轉到另一隻同樣追蹤「富時A50中國指數」但持有實股的「南方A50」〔股份代號：2822〕。 財務處將會通過基金經理，由2014年5月開始，逐步將投資組合由「安碩A50」轉到「南方A50」，並於2014年 12月完成。 累積回報是由2013年8月1日之後的十二個月之回報。實際投資回報數值包含由iShares安碩富時A50中國指數 ETF﹙2823﹚的市場價格及單位資產淨值的差異而產生的溢價或折讓。在2014年7月該溢價增加了3.45%，而 2013年8月至2014年7月之十二個月期間溢價的累計增加為1.67%。 Pursuant to the recent decision of the Board of Trustees, the existing A50 China Tracker Fund will be enhanced by switching the underlying investment from synthetic Exchanged Traded Fund (ETF) 2823.HK to physical ETF 2822.HK . The switching will be gradually performed by the Bursary through investment manager starting from May 2014 and will be completed in December 2014. Cumulative returns are for the past twelve months from 1 August 2013. The return data include a premium or a discount between the Market Price and the Net Asset Value of iShares FTSE A50 China Index ETF (2823). In July, there was an increase in premium of 3.45% and for the twelve months from August 2013 to July 2014, the premium increased by 1.67%. * * 實際與指標回報已包括有關期間內之匯率變動。 Both actual and benchmark returns include foreign currency exchange difference for the month. 陳家樂教授 Prof. Chan Ka-lok 趙志裕教授 Prof. Chiu Chi-yue 最準確人面識別系統 Most Accurate Face Recognition System 信息工程學系湯曉鷗教 授及電子工程學系王曉剛 教授領導的研究團隊，研 發出嶄新的自動人面識 別系統，準確度為全球之 冠。該系統在人面資料庫 （Labeled Faces in the Wild）過千組不同光暗、 表情及拍攝角度的人面照 片中，識別容貌的準確度高達99.15%，超越人類肉眼識別的97.53%準確度。 王曉剛教授表示：「以電腦自動識別人面最困難之處，是既要縮減同一人在不同圖像中呈 現的變化，又要擴大不同人面部之間的細微差異點。透過深度學習模型強大的計算和學 習能力，中大的人面識別技術可有效處理上述兩類不同檢測，大大提高人面識別的準確 性。」 這個新識別系統能在極複雜環境下辨認大量目標，而傳統的視頻監控只可在簡單環境中 監測少量目標。執法部門及保安單位利用此項新技術，可從數以萬計的人群中找出目標 人物。此技術還有多種用途，包括藉着圖像和視頻訊息追蹤恐怖分子、偵測使用自動櫃 員機的詐騙行為、自動標註上傳到社交網站的人面圖像等。 A CUHK research team led by Prof. Tang Xiaoou of the Department of Information Engineering and Prof. Wang Xiaogang of the Department of Electronic Engineering has built a novel facial recognition system with the highest accuracy in the world. Tested with thousands of picture sets, this recognition system could recognize faces at an accuracy rate of 99.15%, regardless of changes in lighting, make-up and camera angles, on Labeled Faces in the Wild, compared to the accuracy rate of 97.53% of humans. ‘The key challenge of face recognition is to develop effective feature representations for reducing intra-personal variations while enlarging inter-personal differences,’ said Prof. Wang Xiaogang. ‘With Deep Learning, the system is provided with much more powerful tools to handle the two types of variations, thus significantly improving the accuracy of face recognition.’ Traditional video surveillance can only focus on a small number of objects in a very simple environment. With this new system, users can target thousands of objects in very complex environments, making it a powerful tool for law enforcement and security agencies to seek out individuals among a crowd of thousands. It also has many important applications, such as finding terrorists from surveillance videos, recognizing imposters at ATMs, and automatically tagging face images uploaded to social networking sites. 全國大學生羽毛球錦標賽奪佳績 National Universities Badminton Championship 由中國大學生體育協會主 辦，大學生羽毛球協會協 辦的第十八屆全國大學生 羽毛球錦標賽，於8月5日 至10日在北京工業大學 舉行。共有來自全國九十 四所高校的九百多名男女 運動員參與。中大派出七 女七男球員參與多個比 賽項目。 在團體賽中，本校女子隊 最後取得季軍佳績。男子隊則獲第十三名。單項賽事方面，林鎛渢（ 左二 ）與林雪庭（ 右 二 ）兩兄妹，在甲組男女子混合雙打為團隊取得金牌一面。 The University Badminton Team took part in the 18th National Universities Badminton Championship at the Beijing Technology University from 5 to 10 August. The championship attracted over 900 athletes from 94 tertiary institutions from all over China, including the CUHK team, which consisted of seven male and seven female athletes. The CUHK ladies’ team secured third place while the men’s team finished 13th in team competitions. Lam Pok-fung ( 2nd left ) and Lam Suet-ting ( 2nd right ) won the gold medal in the Division A mixed doubles.