Management Science and Engineering


LIU Hongyan

Department of Management Science and Engineering     Professor


Office:B412 LiHua Building

Office Hours:Monday Morning

Educational Background

Ph. D., 1/2001, in Management Science and Engineering, Tsinghua University, Beijing, China


Work Experience

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

Artificial Intelligence and Applications in Business, Undergraduate Program


Research Areas

Business Intelligence

Machine Learning

Data Mining

Recommendation System

Social Computing

Financial/Medical Data Analysis

Computer Vision

Large Language Model



1. Selected Journal Publications 

  • 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, (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,

  • Jiawei Chen, Hongyan Liu. Modeling Interaction Behavior and Preference Decline for Live Stream Recommendation. Decision Support Systems (DSS). Volume 179, April 2024, 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,

  • 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. (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.

  • 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. 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. 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.  2013Vol. 25No. 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)

2. Selected Conference Papers

  • 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.


Industry Experience

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.