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刘红岩

管理科学与工程系    教授

电话:(86)(10)62789961

办公室:李华楼B412

邮箱:liuhy@sem.tsinghua.edu.cn

开放时间:周一上午

教育经历

2001年获管理学博士学位,伟德bevictor中文版经管学院

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工作经历

2011-至今       伟德bevictor中文版管理科学与工程系 教授

2015.01-2015.03   加利福尼亚大学戴维斯分校,学术访问

2003-2011       清华大学经济管理学院管理科学与工程系 副教授

2004.09-2005.10   美国伊利诺伊大学香槟分校(UIUC)计算机系 访问学者

2002秋         香港科技大学计算机系 合作研究

2001秋         香港中文大学工学院 博士后合作研究

1999秋         香港中文大学商学院 访问学者

1994-至今       伟德bevictor中文版管理科学与工程系 教师

 


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讲授课程

商务智能、机器学习及Python应用、数据库原理与应用、数据仓库与数据挖掘、数据结构、C语言、信息管理。

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研究领域

大数据管理与分析、机器学习、数据挖掘、商务智能、社会网络分析、个性化推荐系统、医疗/金融数据分析、大语言模型、计算机视觉等。

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学术成果

刘红岩教授在国际学术期刊和国内外学术会议上发表论文百余篇,包括国际顶级及高水平学术期刊如Information Systems Research、MIS Quarterly、INFORMS Journal on Computing、ACM Transactions on Information Systems、ACM Transactions on Database Systems、IEEE Transactions on Knowledge and Data Engineering、Decision Support Systems、ACM Transactions on Management Information Systems,以及顶级国际学术会议如VLDB、IEEE ICDE、ACM SIGKDD、IEEE ICDM、SIAM on Data Mining (SDM)、WWW、ACM CIKM、IJCAI、AAAI、ICCV、CVPR、ICIS等。获得14项国家发明专利授权;主持国家自然科学基金多项以及多项企业研究院和企业合作研究课题,作为主要成员参与国家自然科学基金重大项目、国家自然科学基金创新研究群体项目、国家自然科学基金国际(地区)合作与交流项目等。出版专著《社会计算:用户在线行为分析与挖掘》(伟德bevictor中文版出版社,2014年)、出版国家规划教材《商务智能技术及应用(第二版)》(伟德bevictor中文版出版社,2020年)、《数据库技术及应用》(伟德bevictor中文版出版社,2013年)等。


英文国际期刊论文选列(Selected Journal Papers)

  • Jiawei Chen, Luo He, Hongyan Liu, Yinghui Yang*, Xuan Bi. Background Music Recommendation on Short Video Sharing Platforms. Information Systems Research (ISR). 31 Jan 2024, https://doi.org/10.1287/isre.2022.0093. (UTD 24)

  • Shangkun che, Hongyan Liu, Shen liu. Tagging Items with Emerging Tags: A Neural Topic Model based Few-Shot Learning Approach, ACM Transactions on Information Systems (TOIS). Accepted on January 2024, https://doi.org/10.1145/3641859.

  •  Jiawei Chen, Hongyan Liu. Modeling Interaction Behavior and Preference Decline for Live Stream Recommendation. Decision Support Systems (DSS). Volume 179, April 2024, 114146. https://doi.org/10.1016/j.dss.2023.114146

  • Yidong Chai, Yi Liu, Weifeng Li, Bin Zhu, Hongyan Liu, Yuanchun Jiang, An interpretable wide and deep model for online disinformation detection, Expert Systems with Applications, 237 (2024) 121588. ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.121588.

  • Yidong Chai, Shuo Yu, Sagar Samtani, Hongyan Liu, Hsinchun Chen, Motion Sensor–Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach. Information Systems Research (ISR). 14 Mar 2023. https://doi.org/10.1287/isre.2023.1203. (UTD 24)

  • Ge Gao, Hongyan Liu, Kang Zhao. Live Streaming Recommendations Based on Dynamic Representation Learning. Decision Support Systems (DSS). 169 (2023): 113957.  Volume 169, June 2023, 113957.   https://doi.org/10.1016/j.dss.2023.113957.

  • Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu. A Multi-Label Classification with An Adversarial-Based Denoising Autoencoder for Medical Image Annotation. ACM Transactions on Management Information Systems (TMIS). 2023, Volume 14 Issue 2.

  • Jiawei Chen, Yinghui Yang, Hongyan Liu, Mining Bilateral Reviews: A Relational Topic Modeling Framework for Transaction Success Prediction in Sharing Economy. Information Systems Research. Vol. 32, No. 2. Pages:541–560. June 2021. https://doi.org/10.1287/isre.2020.0981.(UTD 24)

  • Shen Liu, Hongyan Liu. Tagging Items Automatically Based on Both Content Information and Browsing Behaviors. INFORMS Journal on Computing (JOC). Vol.33, No.3. Pages: 882–897. 2021. https://doi.org/10.1287/ijoc.2020.1007.(UTD 24)

  • Yidong Chai, Yiyang Bian*, Hongyan Liu, Jiaxing Li, Jie Xu, Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model, Information Processing & Management, Volume 58, Issue 2, 2021

  • Yidong Chai, Hongyan Liu, Jie Xu. A New Convolutional Neural Network Model for Peripapillary Atrophy Areas Segmentation from Retinal Fundus Images. Applied Soft Computing. Volume 86, January 2020.

  • Jiangning He, Xiao Fang, Hongyan Liu. Mobile App Recommendation: An Involvement-Enhanced approach. MIS Quarterly. 2019, 43(3): 827-849. (UTD 24)

  • Jiawei Chen, Hongyan Liu, Yinghui Yang, Jun He. "Effective Selection of a Compact and High-Quality Review Set with Information Preservation. ACM Transactions on Management Information Systems. Volume 10, Issue 4, December 2019, Article No.: 15, pp 1–22.

  • Yidong Chai, Hongyan Liu, Jie Xu. Glaucoma Diagnosis Based on Both Hidden Features and Domain Knowledge through Deep Learning Models. Knowledge-Based Systems. 2018: 147-156.

  • Jiangning He, Hongyan Liu. Mining Exploratory Behavior to Improve Mobile App Recommendation. ACM Transactions on Information Systems (TOIS). Vol 35, No 4, Article 32. 2017.

  • Jiangning He, Hongyan Liu, Hui Xiong. SocoTraveler: Travel-package Recommendations Leveraging Social Influence of Different Relationship Types. Information & Management. Volume 53, Issue 8, Pages 934-950. (December 2016).

  • Jiangning He, Hongyan Liu, Raymond Lau, Jun He. Relationship Identification across heterogeneous online social networks. Computational Intelligence. Volume 33, Issue 3. August 2017. Pages 448-477.

  • Hongyan Liu, Yinghui Yang, Zhuohua Chen, Yong Zheng. A Tree-Based Contrast Set Mining Approach to Detecting Group Differences. INFORMS Journal on Computing. Volume 26 Issue 2, Spring 2014, pp. 208-221.  (UTD 24)

  • Yinghui Yang, Hongyan Liu, and Yuanjue Cai. Discovery of Online Shopping Patterns across Web Sites. INFORMS Journal on Computing.  2013,Vol. 25,No. 1. pp.161-176. (UTD 24)

  • Hongyan Liu, Jun He, Yingqin Gu, Hui Xiong, Xiaoyong Du. Detecting and Tracking Topics and Events from Web Search Logs. ACM Transactions on Information Systems (TOIS). Volume 30 Issue 4, November 2012. Article No. 21.

  • Hongyan Liu, Jun He, Wenting Song, Tingting Wang. Combining User Preference and User Opinion for Accurate Recommendation. Electronic Commerce Research and Applications (ECRA). Vol. 12, No. 1. 14-23. 2013.

  • Hongyan Liu, Jun He, Dan Zhu, Xiaofeng Ling, Xiaoyong Du. Measuring Similarity Based on Link Information: A Comparative Study. IEEE Transactions on Knowledge and Data Engineering (TKDE). VOL. 25, NO. 12, DECEMBER 2013. 2823-2840.

  • Yinghui Yang, Balaji Padmanabhan, Hongyan Liu and Xiaoyu Wang. Discovery of Periodic Patterns in Sequence Data: A Variance Based Approach. INFORMS Journal on Computing. 2012, Vol. 24, No. 3. pp. 372-386. (UTD 24)


会议论文选列(Refereed Proceedings with high impact)

  • Fengxin Li, Hongyan Liu, Jun He, Xiaoyong Du. CausalCDR: Causal Embedding Learning for Cross-domain Recommendation”, SIAM International Conference on Data Mining (SDM24), April 18 - 20, 2024, Westin Houston, Memorial City, Houston, TX, USA.

  • Ziqiao Peng, Wentao Hu, Yue Shi, Xiangyu Zhu, Xiaomei Zhang, Hao Zhao, Jun He, Hongyan Liu, Zhaoxin Fan. SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024). June 17-21, 2024. Washington, USA.

  • Ziqiao Peng, Yihao Luo, Yue Shi, Hao Xu, Xiangyu Zhu, Hongyan Liu, Jun He, Zhaoxin Fan. SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Face, the 31st ACM International Conference on Multimedia (ACM MM), Ottawa, Canada. October 29, 2023November 3, 2023.

  • Ziqiao Peng, Haoyu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Hongyan Liu, Jun He, Zhaoxin Fan. EmoTalk: Speech-driven emotional disentanglement for 3D face animation. International Conference on Computer Vision (ICCV), October, 2023. Paris, France.

  • Zhaoxin Fan, Yulin He, hicheng Wang, Kejian Wu, Hongyan Liu, Jun He. Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion, proceeding of the 32nd International Joint Conference on Artificial Intelligence (IJCAl 2023). 19th-25th August 2023. Macao, S.A.R.

  • Zhaoqi Yang, Hongyan Liu. Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation. The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Osaka, Japan, from May 25 to May 28, 2023.

  • Shangkun Che, Hongyan Liu, Shen Liu. Enhancing Recommendation Interpretability with Tags: A Neural Variational Model. International Conference on Information Systems (ICIS 2022). December 9-14th, Copenhagen, Denmark

  • Zhaoxin Fan, Hongyan Liu, Jun He, Min Zhang, Xiaoyong Du, MPDNet: A 3D Missing Part Detection Network Based on Point Cloud Segmentation. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6-11 June 2021, Toronto, Ontario, Canada.  

  • Sun, Qi; Liu, Hongyan; He, Jun; Fan, Zhaoxin; Du, Xiaoyong. DAGC: Employing Dual Attention and Graph Convolution for Point Cloud based Place Recognition. The Annual ACM International Conference on Multimedia Retrieval (ICMR). Dublin, Ireland, 8-11, June, 2020.

  • Qiyi Wang, Hongyan Liu and Jun He. A Graph Attentive Network Model for P2P Lending Fraud Detection. The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020), Hangzhou, China, August 28-30, 2020  Best paper Runner-up.

  • Lang Mei, Hongyan Liu, Jun He, Xiaoyong Du. Latent Path Connected Space Model for Recommendation. The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data (Apweb-WAIM 2019). August 1-3, 2019, Chengdu, China. 163-172.

  • Jiawei Chen, Hongyan Liu, Shiqiang Zheng. Session-Based Learning for Anchor Ranking on Live Streaming Platforms. International Conference on Information Systems (ICIS 2018), 12. 13-16, 2018. San Francisco, CA, USA.

  • Jiawei Chen, Hongyan Liu, Jun He, Sanpu Han. Interaction-Aware Watching Duration Prediction on Live Streaming Platforms. The 24th Americas Conference on Information Systems (AMCIS 2018), August 16-18, 2018. New Orleans, LA, USA.

  • Li F., Liu H., He J., Du X. (2018) Exploiting Instance Relationship for Effective Extreme Multi-label Learning. In: Pei J., Manolopoulos Y., Sadiq S., Li J. (eds) Database Systems for Advanced Applications. DASFAA 2018. Lecture Notes in Computer Science, vol 10828. Springer, Cham

  • Shen Liu, Hongyan Liu, Exploiting User Consuming Behavior for Effective Item Tagging. Proceedings of the 2017 ACM Conference on Information and Knowledge Management (CIKM). Pages 2175-2178. ACM New York, NY, USA. November 6-10, 2017, Singapore.

专著

   [1] 刘红岩,社会计算:用户在线行为分析与挖掘,伟德bevictor中文版出版社。2014-7-1。ISBN:9787302356486。

   [2] 杨德礼,胡祥培,孔祥维,刘红岩,卫强。新兴电子商务:商务智能方法与服务知识管理。伟德bevictor中文版出版社。2013.10.1,362千字。ISBN: 9787302324591

   [3] 陈国青,叶强,刘红岩,徐心,卫强,易成,张自立等,基于大数据的商务智能与模式创新研究, 科学出版社,ISBN:9787030645920。 2020-09-01。

教材

  [1] 刘红岩,《商务智能方法与应用》(第2版),伟德bevictor中文版出版社,2020.8.1,470千字,高等学校大数据管理与应用专业规划教材,ISBN: 9787302558101。

  [2] 刘红岩,《数据库技术及应用》(第2版),伟德bevictor中文版出版社。2013-2-1,ISBN:978-7-302-31223-9,普通高等教育“十一五”国家级规划教材。


已授权国家发明专利

[1] 一种自动拆分英文复合词组的系统和方法 (授权专利号:200910078791.9)

[2] 一种在信息检索中基于图中的块结构来计算网页结构图中的链接相似度的系统和方法(授权专利号:200910078788.7)

[3] 一种数据库模式重构系统和方法 (授权专利号:200910078789.1)

[4] 一种文档相似度衡量方法 (授权专利号:200910078785.3)

[5] 一种基于有权图计算文本内容相似度的方法 (授权专利号:200910078787.2)

[6] 互联网传播路径图简化方法(授权专利号:201210209515.3)

[7] 微博话题标签自动化描述方法(授权专利号:201210209327.0)

[8] 基于地图限定区域的对象查找方法(授权专利号:201210209277.6)

[9] 信息推送方法(授权专利号:201210209511.5)

[10]兴趣标签生成方法(授权专利号:201510570410.4)

[11]商品标签生成方法及装置(授权专利号:201711071583 .7)

[12] 歌曲推荐方法和装置 (授权专利号:202010084450.9)

[13] 图像处理方法、装置及设备 (授权专利号 202010375986.6

[14] 模型训练方法、直播推荐方法、设备、存储介质 (授权专利号:202110616226.4



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业界经历

目前担任国际知名学术期刊《Information & Management》副主编, 国家自然科学基金委员会管理科学部认定的管理科学A级期刊《工程管理科技前沿》特邀通讯专家。曾担任众多国际会议的程序委员会委员,如 ICIS Associate EditorCIKMICDMAAAIPACISPAKDD等以及多个国内外学术会议的PC Co-chair, Track ChairPanel Chair等。现为中国管理现代化研究会电子商务与网络空间管理专委会副主任,中国管理科学与工程学会第四届理事,中国信息经济学会第八届理事,中国系统工程学会信息系统工程专业委员会(CNAIS)理事,计算机学会数据库专委委员,中国管理科学与工程学会人工智能技术与管理应用分会委员。伟德bevictor中文版人工智能与管理研究中心副主任。

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所获荣誉

曾获得过多项奖励及荣誉称号,获得国家档案局优秀科技成果奖,多次获得国际会议最佳论文奖。管理科学与工程学会优秀博士论文指导教师,主持的国家自然科学基金项目《基于数据挖掘的用户网上行为模式的发现技术与应用研究》被评为特优。研发的个性化推荐系统被多家企业采纳使用。

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