2011-present, Professor, Department of Management Science and Engineering, School of Economics and Management, Tsinghua University

2003-2011, Associate Professor, Department of Management Science and Engineering, School of Economics and Management, Tsinghua University

2004.9-2005.10, Visiting Scholar, Department of Computer Science, University of Illinois at champagne (UIUC)

2001.4-2001.6, Visiting Scholar, School of Engineering, The Chinese University of Hong Kong

1999.8-1999.12, Visiting Scholar, School of Business, The Chinese University of Hong Kong

1997-2003, Assistant Professor, Department of Management Science and Engineering, School of Economics and Management, Tsinghua University

Business Intelligence, Master Program & PhD Program

Machine Learning and Python Applications, Master Program & PhD Program

Principle and Application of Database, Undergraduate Program

Data Structure, Undergraduate Program

C Programming Language, Undergraduate Program

Information Management, Master Program & PhD Program

Predictive Analytics

Business Intelligence

Machine Learning

Data/Text Mining

Recommendation System

Social Computing

Financial/Medical Data Analysis

Computer Vision

1. Selected Journal Publications 

Chen, J., Yang, Y., and Liu, H.(*). Mining Bilateral Reviews: A Relational Topic Modeling Framework for Transaction Success Prediction in Sharing Economy. Information Systems Research. Volume 32, Issue 2. April 2, 2021, https://doi.org/10.1287/isre.2020.0981. 

Liu, S., and Liu, H.(*). Tagging Items Automatically Based on Both Content Information and Browsing Behaviors. INFORMS Journal on Computing (JOC). https://doi.org/10.1287/ijoc.2020.1007.

He, J., Fang, X., Liu, H.(*). Mobile App Recommendation: An Involvement-Enhanced approach. MIS Quarterly. 2019, 43(3): 827-849. DOI: 10.25300/MISQ/2019/15049.

Liu, H.(*), Yang, Y., Chen, Z., Zheng, Y. A Tree-Based Contrast Set Mining Approach to Detecting Group Differences. INFORMS Journal on Computing. Volume 26 Issue 2, Spring 2014, pp.208-221.  

Yang, Y., Liu, H., and Cai, Y. Discovery of Online Shopping Patterns across Web Sites. INFORMS Journal on Computing. 2013，Vol. 25，No. 1. pp.161-176.

Yang, Y., Padmanabhan, B., Liu, H., and Wang, X. Discovery of Periodic Patterns in Sequence Data: A Variance Based Approach. INFORMS Journal on Computing. 2012, Vol. 24, No. 3. pp. 372-386.

He，L., Liu, H., Yang, Y., Wang, B. A Multi-Attention Collaborative Deep Learning Approach for Blood Pressure Prediction. ACM Transaction on Management Information Systems (TMIS). Forthcoming.

Chai, Y., Bian, Y., Liu, H.(*), Li, J., Xu, J. Glaucoma diagnosis in the Chinese context: An uncertainty information-centric Bayesian deep learning model, Information Processing & Management, Volume 58, Issue 2, 2021.

Zhang, S., Liu, H(*), Mei L., He, J.(*), Du X. Predicting Viewer's Watching Behavior and Live Streaming Content Change for Anchor Recommendation. Applied Intelligence. 12 June, 2021.

Zhang, S., Liu, H(*),  He, J.(*), Han, S. Du X. Deep Sequential Model for Anchor Recommendation on Live Streaming Platforms. Big Data Mining and Analytics. Volume 4, Number 3, 173–182. September 2021.

Chai, Y., Liu, H.(*), Xu, J. A New Convolutional Neural Network Model for Peripapillary Atrophy Areas Segmentation from Retinal Fundus Images. Applied Soft Computing. Volume 86, January 2020.

He, J., Liu, H.(*), Zheng, Y. et al. Bi-Labeled LDA: Inferring Interest Tags for Non-Famous Users in Social Network. Data Science and Engineering. 5, 27–47(2020). https://doi.org/10.1007/s41019-019-00113-0.

Fan, Z., Liu, H., He, J.; Sun, Q.,Du, X. A Graph-based One-Shot Learning Method for Point Cloud Recognition, Computer Graphics Forum, 2020, 39(7)：313-323.

Fan, Z., Liu, H., He, J., Sun, Q., Du, X.SRNet: A 3D Scene Recognition Network using Static Graph and Dense Semantic Fusion, Computer Graphics Forum, 2020, 39(7)：301-311.

Chen, J., Liu, H.(*), Yang, Y., He, J. "Effective Selection of a Compact and High-Quality Review Set with Information Preservation. ACM Transactions on Management Information Systems (TMIS). Volume 10, Issue 4, December 2019, Article No.: 15, pp 1–22.

Chai, Y., Liu, H.(*), Xu, J. Glaucoma Diagnosis Based on Both Hidden Features and Domain Knowledge through Deep Learning Models. Knowledge-Based Systems. 2018: 147-156.

He, J.N., Liu, H.(*). Mining Exploratory Behavior to Improve Mobile App Recommendation. ACM Transactions on Information Systems (TOIS). Vol 35, No 4, Article 32. 2017.

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

He, J.N., Liu, H.(*), Lau, R., and He, J. Relationship Identification across heterogeneous online social networks. Computational Intelligence. Volume 33, Issue 3. August 2017. Pages 448-477.

He, J., Liu, H.(*), Yu, J., Li, P., Du, X. Assessing Single-Pair Similarity over Graphs by Aggregating First-Meeting Probabilities. Information systems. Volume 42, June 2014, Pages 107–122.

He, J., Liu, H.(*), et al. Scalable and Noise Tolerant Web Knowledge Extraction for Search Task Simplification. Decision Support Systems. Volume 56, December 2013, Pages 156–167.

Liu, H., He, J., Song, W., Wang, T. Combining User Preference and User Opinion for Accurate Recommendation. Electronic Commerce Research and Applications (ECRA). Vol. 12, No. 1. 14-23. 2013.

Liu, H., He, J., Zhu, D., Ling, X., Du, X. 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

Liu, H., He, J., et al. 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.

Huang, Z., Hu, B., Cheng, H., Shen H. T., Liu, H., Zhou, X. Mining Near-duplicate Graph for Cluster-based Reranking of Web Video Search Results. ACM Transactions on Information Systems (TOIS). Volume 28 Issue 4, 2010.

Cui, J., Liu, H., Li, P., He, J., Du, X., Wang, P. TagClus: a Random Walk-Based Method for Tag Clustering. Knowledge and Information Systems. Volume 27, Issue 2 (2011).

Liu, H., Lin, Y, Han, J., He, J. Methods for Mining Frequent Items in Data Streams: An Overview. Knowledge and Information Systems. Volume 26, Issue 1 (2011), Page 1-30.

Liu, H., Wang, X., Yang, Y. Comments on “An Integrated Efficient Solution for Computing Frequent and Top-k Elements in Data Streams”, ACM Transactions on Database Systems (TODS), Volume 35, Issue 1. April, 2010.

Liu. H., Lin, F., He, J., Cai, Y. A New Approach for the Sequential Pattern Mining of High dimensional Sequence Databases. Decision Support Systems. Volume 50, Issue 1, December 2010, Pages 270-280.

Chen, H., Liu, H., Han, J., Yin, X. Exploring Optimization of Semantic Relationship Graph for Multi-relational Bayesian Classification. Decision Support Systems. Volume 48, Issue 1 (2009). p112–121.

Wang, X., Liu, H., Er, D. HIDS: A Multifunctional Generator of Hierarchical Data Streams. ACM SIGMIS Database (Data base for advances in IS). Issue 2 (May 2009). Pages 29-36.

Liu, H., Wang, X., He, J., Han, J., Xin, D., Shao, Z. Top-down mining of frequent closed patterns from very high dimensional data. Information Sciences, Volume 179, Issue 7, 15 March 2009, Pages 899-924

Chen, G., Liu, H., Yu, L., Wei, Q., Zhang, X. A New Approach to Classification Based on Association Rule Mining. Decision Support Systems. Volume 42, Number 2, November 2006, p674-689.

2. Selected Conference Papers

Che, S., Mao, X., Liu, H.. Measuring Counterfactual Fairness of Recommendation Systems: An Identifiable Causal Model. Workshop on Information Technology and Systems (WITS 2021).

Shen Liu, Hongyan Liu. Tagging Items with New Tags: A Few-shot Learning Model, Workshop on Information Technology and Systems (WITS 2020). Virtual. Best paper nomination

Ge Gao, Hongyan Liu, Audience Come and Go Learning Dynamic Representations to Recommend Live Streaming Rooms. The 4th Informs workshop on Data Science, 2020. Best Paper Runner-up Award

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 Award

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.

Shen Liu, Hongyan Liu, Exploiting Partial Tag Information for Accurate and Explainable Recommendation, 2018 INFORMS Workshop on Data Science (DS 2018). November 3, Phoenix, Arizona, USA.

Zhuohua Chen, Hongyan Liu, Sanpu Han. Leveraging Community-Level Social Influence and Vocal Competence for Singing-Song Recommendation. 2018 INFORMS Workshop on Data Science (DS 2018). November 3, Phoenix, Arizona, USA. Best Paper Runner-Up.

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.

Shen Liu, Hongyan Liu, Exploiting User Consuming Behavior for Effective Item Tagging. The 26th ACM International Conference on Information and Knowledge Management (CIKM2017). November 6-10, 2017, Singapore.

Yidong Chai, Hongyan Liu, Li Zhang. Extracting Visual Words from Images for Effective Medical Diagnosis. The 21st Pacific Asia Conference on Information Systems (PACIS2017). July 17-20, Langkawi, Malaysia.  

Luo He, Xiaolei Xie, Hongyan Liu, Bo Li. How Out-of-pocket Ratio Influences Readmission: An Analysis Based on Front Sheet of Inpatient Medical Record. International Conference for Smart Health (ICSH2017), Hong Kong, Jun 26-27.

Yidong Chai, Luo He, Qiuyan Me, Hongyan Liu, Liang Xu. Deep Learning through Two-branch Convolutional Neuron Network for Glaucoma Diagnosis. International Conference for Smart Health (ICSH2017), Hong Kong, Jun 26-27.2017.

Jiangning He, Hongyan Liu, Jun He. Sanpu Han. Individuality or conformity: Recommendation Exploiting Community-level social Influence, PACIS 2016. Taiwan.

Yinghui Yang, Zijie Qi, Hongyan Liu and Jun He. Constrained clustering based on the link structure of a directed graph. The 19th Pacific Asia Conference on Information Systems (PACIS 2015). Singapore. July 2015.

Yinghui Yang, Zijie Qi, Hongyan Liu. Selective Domain Information Acquisition to Improve Segmentation Quality. The 17th International Conference on Electronic Commerce (ICEC 2015). Seoul, Korea, August 2015.

Yongfang Ma, Yinghui Yang, Hongyan Liu. Competitor Identification based on User Preference and Item attraction. CSWIM 2015. Hefei, China. June, 2015.

Selected research projects for industry:

8/2021-9/2022, Person-Job Matching in Intelligent Recruitment System, Shenzhen Jinri Rencai Information Technology Company Limited.

11/2017-11/2018, Personalized Recommendation Based on Data Mining and Machine Learning, Mijing Hefeng Technology Company Limited.

3/2015-3/2016, Personalized Recommendation, Beijing Qihoo Technology Company Limited.

12/2008-12/2009, Story-Teller: Detecting and Tracking Hot Topics to Enhance Search Engine Performance. Microsoft Research Asia.

Best Paper Runner-Up Award, The 4th Informs Workshop on Data Science, 2020.

Best paper nomination. Workshop on Information Technology and Systems (WITS 2020).

Best Paper Runner-Up Award, The 13th International Conference on Knowledge Science, Engineering and Management(KSEM). 2020.

Best Paper Runner-Up Award, The 4th Informs workshop on Data Science, 2018.

Best Paper Award, The 3rd Annual Conference of Big Data and Business Analytics, Society of Management Science and Engineering. 2018.

Best Challenge Paper Award, The 14th International Conference on Web Information System Engineering(WISE), 2013.

Best Paper Award, The 10th SIAM International Conference on Data Mining(SDM). 2010. Ohio, USA.

Best Research Paper Award, The Fifth International Conference on Advanced Data Mining and Applications(ADMA), 2009

Best Paper Award, The Third China Summer Workshop on Information Management (CSWIM), 2009.

Advisor of Excellent Doctoral Thesis, Society of Management Science and Engineering. 2019.

Advisor of Excellent Doctoral Thesis, Tsinghua University，2018, 2019, 2020, 2021.

Excellent Project, National Natural Science Foundation of China (NSFC),2014.