Discovering Learning Patterns of Male and Female Students by Contrast Targeted Rule Mining. - Xianghong Tian; Jie Kong; Tianqing Zhu; Haiyang Xia 001 (ES, 2016)

Prediction of the Scholarship Using Comprehensive Development. - Wenjuan Wei; Jiaxin Han; Jie Kong; Haiyang Xia 001 (ES, 2016)

Discovering the Academic Situation of Students by Relationship Mining. - Haiyang Xia 001; Jiaxin Han; Jie Kong; Wenjuan Wei; Lei Zhang (ES, 2016)

Beyond the Aggregation of Its Members - A Novel Group Recommender System from the Perspective of Preference Distribution. - Zhiwei Guo 004; Chaowei Tang; Wenjia Niu; Yunqing Fu; Haiyang Xia 001; Hui Tang 001 (KSEM, 2017)

A Weighted Non-monotonic Averaging Image Reduction Algorithm. - Jiaxin Han; Haiyang Xia 001 (KSEM, 2017)

Fine-Grained Recommendation Mechanism to Curb Astroturfing in Crowdsourcing Systems. - Zhiwei Guo 004; Chaowei Tang; Wenjia Niu; Yunqing Fu; Tong Wu; Haiyang Xia 001; Hui Tang 001 (IEEE Access, 2017)

Group Outlying Aspects Mining. - Shaoni Wang; Haiyang Xia 001; Gang Li 009; Jianlong Tan (KSEM (1), 2018)

Analysis of students' learning and psychological features by contrast frequent patterns mining on academic performance. - Jie Kong; Jiaxin Han; Junping Ding; Haiyang Xia 001; Xin Han (Neural Comput. Appl., 2020)

Toward Explainable Recommendation via Counterfactual Reasoning. - Haiyang Xia 001; Qian Li 003; Zhichao Wang 001; Gang Li 009 (PAKDD (3), 2023)

Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development. - Huy Quan Vu; Shah Jahan Miah; Haiyang Xia 001; Gang Li 009; Birgit Muskat; Rob Law 001 (J. Inf. Technol. Tour., 2023)

Improving neural network's robustness on tabular data with D-layers. - Haiyang Xia 001; Nayyar Zaidi; Yishuo Zhang; Gang Li 009 (Data Min. Knowl. Discov., 2024)

CANTER: A Novel Causal Model for Tourism Demand Forecasting. - Xin Han; Haiyang Xia 001; Ye Zhu 002; Gang Li 009; Rob Law 001 (PAKDD (6), 2025)

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. - Qian Li 003; Zhichao Wang 001; Haiyang Xia 001; Gang Li 009; Yanan Cao 001; Lina Yao 001; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning. - Xiangmeng Wang; Qian Li 003; Haiyang Xia 001; Hao Miao 001; Qing Li 001; Guandong Xu (CoRR, 2026)