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英文国际期刊论文选列（Selected Journal Papers）
Jiawei Chen, Yinghui Yang, Hongyan Liu, Mining Bilateral Reviews: A Relational Topic Modeling Framework for Transaction Success Prediction in Sharing Economy. Information Systems Research. 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). 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.
Jun H, Hongyan Liu, Yiqing Zheng, Shu Tang, Wei He, Xiaoyong Du. Bi-Labeled LDA: Inferring Interest Tags for Non-Famous Users in Social Network. Data Science and Engineering. Open Access; Published: 29 November 2019
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）
Jun He, Hongyan Liu, Jeffrey X. Yu, Pei Li, Wei He, Xiaoyong Du. Assessing Single-Pair Similarity over Graphs by Aggregating First-Meeting Probabilities. Information systems. Volume 42, June 2014, Pages 107–122.
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）
Jun He, Hongyan Liu, Yingqin Gu, Jun Yan, Hong Chen. Scalable and Noise Tolerant Web Knowledge Extraction for Search Task Simplification. Decision Support Systems. Volume 56, December 2013, Pages 156–167.
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）
Shen Liu, Hongyan Liu. Tagging Items with New Tags: A Few-shot Learning Model" for presentation at the 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 Award 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.
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