賀樑

賀樑,男,博士,華東師範計算機科學與技術學院副院長、教授、博士生導師。

基本介紹

  • 中文名:賀樑
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:語言認知與知識計算、群智智慧型與增強智慧型學習方法等
  • 職務博士生導師
  • 職稱:教授
個人經歷,研究方向,主講課程,學術成果,出版著作,專利授權,發表論文,榮譽獎項,

個人經歷

目前擔任上海市計算機學會學術工作委員會委員,上海智慧型線上服務機器人工程技術研究中心技術委員會主任、上海科技發展重點領域技術預見專家組專家。
中國人民政治協商會議上海市第十四屆委員會委員。

研究方向

·語言認知與知識計算
研究自然語言理解、文本理解、對話自動生成相關技術,並可面向領域進行社區問答、自然語言問答,研究常識與知識的表示與生成,通過語義和知識計算,為更充分地理解信息,匹配信息提供處理方法。
·大數據分析與搜尋
研究如何在海量數據中進行分析,通過模式識別和機器學習技術、大數據分析技術,判斷海量信息中相互的關聯特性,實現信息的智慧型搜尋和推薦。
·群智智慧型與混合增強智慧型學習方法
研究機器和人聯合的機器學習方法,通過引入眾包處理機制,評價反饋機制,實現機器和人智慧型層面的互動,從而提高算法精度,提升數據質量。
研究課題(當前)
1.基於人機混合智慧型的常識信息抽取方法
上海市科委人工智慧專項課題,2019年10月-2021年9月
研究通過人機混合的模式,抽取現實世界中不宜被精準獲取的常識性知識的方法,從而構建基於眾包且符合心理認知的的常識性知識精化和生成工具。
2.“診驗理影”醫療分析雲平台
上海市經信委人工智慧專項課題,2018年12月-2020年12月
研究“診驗理影”人工智慧多源分析算法,研製雲端人工智慧醫療工具集和算法模型服務系統,探索構建面向細胞學、組織學、形態學、影像學的人工智慧公共服務平台及單病種網路化套用。
3.面向圖像文本理解和視頻內容分析的人工智慧雲系統開發與建設
上海市經信委人工智慧專項課題,2018年6月-2020年6月
研究人機混合增強的圖文理解算法,提高特定場景下通過人的反饋提高對圖文理解的方法,實現反饋選擇、標註設計、分發及疊代最佳化的方法

主講課程

1. 【計算機導論】—An introduction to Computer Science,大一本科生
2. 【計算機前沿技術研討與實踐】—Research and practice of computer advanced technology,大一本科生
3. 【多媒體技術】—Multimedia technology,大三本科生
1. 【分散式系統】--Distributed Systems 研究生
2. 【用戶行為分析與推薦技術】討論班--User Behavior Analysis and Recommendation Technology,研究生,討論班
3. 【普及計算與語義Web】--Ubiquitous Computing & Semantic Web 研究生,討論班

學術成果

近年來,主持多項國家科技支撐,上海市科委重大科技攻關項目,參與了國家科技部“十三五”規劃,上海市科技中長期發展規劃、上海“十三五”科技發展規劃研究的編制工作,五次獲得上海市科技進步獎,2013年獲上海市科技進步一等獎,2015年和2016年連續獲得上海市科技進步二等獎,其中2015年領銜獲得,出版專著2篇,獲得專利逾10餘項,在SIGIR、AAAI、TKDE、INS等國內外會議和雜誌上發表

出版著作

《分布數據管理》華東師範大學出版社顧君忠 賀樑著ISBN 978-7-5617-7763-3/F.183
《現代遠程教育技術導論》華東師範大學出版社顧君忠 賀樑 王河著ISBN 7-5617-2308-3/G.1084

專利授權

基於多元資料庫支持組件的知識圖譜異構存儲框架中間件
授權號:"ZL 2016 1 0859851.0"
一種基於彈幕評論數據的影視片段剪輯方法
授權號:"ZL 2016 1 0524105.6"
一種基於用戶性格提高社交引薦效率的方法
授權號:"ZL 2013 1 0231449.4"
一種基於半監督CBOW的用戶搜尋詞主題分類的方法
授權號:"ZL 2014 1 0286532.6"
一種基於少數數據的短期視頻點播預測系統
授權號:"ZL 2014 1 0274071.0"
一種視頻領域相關的分散式視頻數據抓取系統
授權號:"ZL 2014 1 0271438.3"
一種基於協同過濾的預測值校正方法
授權號:"ZL 2013 1 0226486.6"
一種無位置偏見影響的廣告與頁面匹配的方法
授權號:"ZL 2013 1 0197731.5"
一種基於人口屬性關鍵字向量的協作過濾推薦方法
授權號:"ZL 2009 1 0045655.X"
一種無參考的流視頻質量評估方法
授權號:"ZL 2008 1 0207695.5"
一種基於視頻特徵的流視頻質量評估方法
授權號:"ZL 2008 1 0207697.4"
一種引入節目熱門度權重的協作過濾推薦方法
授權號:"ZL 2008 1 0037498.3"
公共安全播控媒體管理與識別其完整未被篡改的認證方法
授權號:"ZL 2006 1 0148838.0"
現場對象匯聚路由器及其自組網內數據傳輸方法
授權號:"ZL 2005 1 0110552.9"
現場對象服務感應器及其自組網內數據傳輸方法
授權號:"ZL 2005 1 0110550.X"

發表論文

. Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He. Position-aware hierarchical transfer model for aspect-level sentiment classification. Information Sciences(2020), 513, 1-16.
. Yang, R. D., Lin, X., Xu, J. L., Yang, Y. and He, L. Optimizing Knowledge Graphs through Voting-based User Feedback, 36th IEEE International Conference on Data Engineering (ICDE 2020), Dallas, Texas, U.S.A. April 20-24, 2020.
. Chen Shiyun, Lin Xin, Xiao Yanghua, He Liang, Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification,Proceedings of the 28th ACM International Conference on Information and Knowledge Management, (CIKM 2019),Beijing, China, November 03-07, 2019.
. J. Zhou, J. X. Huang, Q. Chen, Q. V. Hu, T. Wang and L. He,Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges,IEEE Access,2019
. Qingchun Bai,Qinmin Hu,Linhui Ge,Liang He. Stories that Big Danmaku Data can tell as a New Media. IEEE Access, 2019.
. Lei Zhan, Yan Yang, Pinpin Zhu, Liang He, and Zhou Yu, "Using Dilated Residual Network to Model Distantly Supervised Relation Extraction"(short paper and invited for poster representation), 24th International Conference on Database Systems for Advanced Applications (DASFAA), Thailand, 2019
. Yang Song, Wenxin Hu, Liang He. Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling. In the 24th International Conference on Database Systems for Advanced Applications (DASFAA), 22-25 April 2019, Chiang Mai, Thailand.
. Yang Song, Qinmin Vivian Hu, Liang He. Let terms choose their own kernels: An intelligent approach to kernel selection for healthcare search. Information Sciences, Volume 485, June 2019, Pages 55-70.
. Yang Song, Qinmin Vivian Hu, Liang He. P-CNN: Enhancing text matching with positional convolutional neural network, Knowledge-BasedSystems, Volume 169, 1 April 2019, Pages 67-79.
Chen, Q., Hu, Q., Huang, J. X. and and He, L., "CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network" (full paper and invited for oral presentation), Proceedings of the 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, U.S.A. July 8-12, 2018.
. Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, and Liang He. 2018. Precise Temporal Action Localization by Evolving Temporal Proposals. In Proceedings of 2018 International Conference on Multimedia Retrieval, Yokohama, Japan, June 11–14, 2018 (ICMR ’18).
. Chen, Q., Hu, Q., Huang, J. X. and and He, L., "CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity" (full paper and invited for oral presentation), Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, Lousiana, USA. February 2-7, 2018.
. Hu, Qinmin, Zhou, J. and He, L., SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification, in proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’18), February 2-7,2018 Hilton Orleans Riverside, New Orleans, Louisiana, USA.
. Chen, Q., Hu, Q., Huang, J. X. and He, L. "Modeling Queries with Contextual Snippets for Information Retrieval" (full paper), ACM Transactions on Intelligent Systems and Technology (TIST). ACM Publisher. 9(4):1-47. 2018. ISSN: 2157-6904 and EISSN:2157-6912.
. Chen, Q., Hu, Qinmin, Huang, X. and He, L., Time-Aware Microblog Search with Kernel Density Estimation, in journal of ACM Transactions on Knowledge and Data Engineering (TKDE), pp:1602-1615 (2018).
. Wang, Maoquan, Chen, Shiyun and He, L., Sentiment Classification Using Neural Networks with Sentiment Centroids, in proceedings of The Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD’18), to appear in June, 2018.
. Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, and Liang He,Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. 25th International Conference on Neural Information Processing, Siem Reap, Cambodia., Dec 13, 2018 - Dec 16, 2018.
. Qingchun Bai,?Qinmin Hu,?Faming Fang,?Liang He. Topic Detection with Danmaku: A Time-Sync Joint NMF Approach.?International Conference on Database and Expert Systems Applications. Springer, Cham, 2018: 428-435.
. Yu Jiang, Yuling Sun, Jing Yang, Xin Lin, Liang He. Enabling Uneven Task Difficulty in Micro-Task Crowdsourcing,Group 2018 :ACM INTERNATIONALCONFERENCE ON SUPPORTING GROUP WORK,JANUARY 7-10, 2018 SANIBEL ISLAND, FLORIDA USA
. Qin Chen, Qinmin Hu, Jimmy Huang, Liang He and Weijie An. Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. In Proceedings of the 40th ACM SIGIR 2017,August 7-11,2017,Tokyo, Japan.
. Shan Sun, Feng Wang, Qi Liang, Liang He. 2017. TaiChi: A Fine-Grained Action Recognition Dataset. In Proceedings of ACM International Conference on Multimedia Retrieval, Bucharest, Romania, June 6-9 2017 (ICMR'2017),Bucharest,Romania.
. Xin Ouyang,Yan Yang,Liang He,Qin Chen,Jiacheng Zhang. Representation Learning with Entity Topics for Knowledge Graphs. KSEM 2017 :The 10th International Conference on Knowledge Science, Engineering and Management, August 19-20,2017,Melbourne Australia.
. Mengjun Ni, Jing Yang, Xin Lin, Liang He. Reducing Unknown Unknowns with Guidance in Image Caption. ICANN 2017: The 26th International Conference on Artificial Neural Networks, September 11 – 14, 2017, Alghero, Sardinia, Italy.
. Lu Chen, Jie Zhou, Liang He, Qin Chen,Jiacheng Zhang and Yan Yang. Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI 2017: the 29th IEEE International Conference on Tools with Artificial Intelligence, Nov.6-8, 2017, Boston, Massachusetts, USA.
. Weijie An, Qin Chen, Yan Yang, and Liang He. Knowledge Memory Based LSTM Model for Answer Selection. ICONIP 2017: The 24th International Conference on Neural Information Processing, Theory and Algorithms, November 14–18, 2017, Guangzhou, China.
. Yueyao Wang, Qinmin Hu, Yang Song and Liang He. Potentiality of Healthcare Big data: Improving Search by Automatic Query Reformulation,2017 IEEE International Conference on Big Data (IEEE BigData 2017) Dec 11-14, 2017 @ Boston, MA, USA.
. Kai Ye,Yuling Sun,Jing Yang,Liang He,WeCrowd: A WeChat based Mobile Crowdsourcing Platform,2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017) ,April 26-28, 2017, Wellington, New Zealand

榮譽獎項

基於智慧型問答的智慧型服務機器人關鍵技術及套用,上海市科技進步二等獎,2016
用戶行為分析與個性化信息推送核心技術與套用系統,上海市科技進步二等獎,2015
下一代廣播電視網(NGB)重大工程,上海市科技進步一等獎,2013
下一代網路與業務國家試驗床(上海)研究與套用,上海產學研合作優秀項目二等獎,2013
面向寬頻網路的互動媒體關鍵技術研究與套用,上海市科技進步二等獎,2011
基於RFID現場感應的世博信息服務關鍵技術及示範系統,上海市科技進步三等獎,2011
上海市中長期科學和技術發展規劃綱要(2006-2020)編制工作榮譽證書,2006
無線區域網路高精度定位技術的多媒體業務推送技術研究,上海市科技進步三等獎,2005
無線區域網路中的信息安全與漫遊,上海市科技進步三等獎,2003
上海科技多媒體光碟設計與開發,上海市科技進步三等獎,1999
MP3數字隨身聽研製與開發,上海市產學研工程項目二等獎,1999

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