Semi-Supervised Graph-Ranking for Text Retrieval. - Maoqiang Xie; Jinli Liu; Nan Zheng; Dong Li; Yalou Huang; Yang Wang 017 (AIRS, 2008)

An Ensemble Approach to Learning to Rank. - Dong Li; Yang Wang 017; Weijian Ni; Yalou Huang; Maoqiang Xie (FSKD (2), 2008)

Multiple Ranker Method in Document Retrieval. - Dong Li; Maoqiang Xie; Yang Wang 017; Yalou Huang; Weijian Ni (ICIC (3), 2008)

A Query Dependent Approach to Learning to Rank for Information Retrieval. - Weijian Ni; Yalou Huang; Maoqiang Xie (WAIM, 2008)

Social Tag Prediction Base on Supervised Ranking Model. - Hao Cao; Maoqiang Xie; Lian Xue; Chunhua Liu; Fei Teng; Yalou Huang (DC@PKDD/ECML, 2009)

A Probabilistic Ranking Approach for Tag Recommendation. - Zhen Liao; Maoqiang Xie; Hao Cao; Yalou Huang (DC@PKDD/ECML, 2009)

Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank. - Min Lu; Maoqiang Xie; Yang Wang 017; Jie Liu 007; Yalou Huang (AIRS, 2010)

Cost-Sensitive Listwise Ranking Approach. - Min Lu; Maoqiang Xie; Yang Wang 017; Jie Liu 007; Yalou Huang (PAKDD (1), 2010)

Multiple query-dependent RankSVM aggregation for document retrieval. - Yang Wang 017; Min Lu; Xiaodong Pang; Maoqiang Xie; Yalou Huang (CIDM, 2011)

Cooperative anti-spam system based on multilayer agents. - Wenxuan Shi; Maoqiang Xie; Yalou Huang (WWW (Companion Volume), 2011)

Inferring disease and gene set associations with rank coherence in networks. - TaeHyun Hwang; Wei Zhang 076; Maoqiang Xie; Jinfeng Liu 003; Rui Kuang (Bioinform., 2011)

Inferring Disease and Gene Set Associations with Rank Coherence in Networks - TaeHyun Hwang; Wei Zhang 076; Maoqiang Xie; Rui Kuang (CoRR, 2011)

Prioritizing Disease Genes by Bi-Random Walk. - Maoqiang Xie; TaeHyun Hwang; Rui Kuang (PAKDD (2), 2012)

Rank hash similarity for fast similarity search. - Min Lu; Yalou Huang; Maoqiang Xie; Jie Liu 007 (Inf. Process. Manag., 2013)

Supervised rank aggregation based on query similarity for document retrieval. - Yang Wang 017; Yalou Huang; Xiaodong Pang; Min Lu; Maoqiang Xie; Jie Liu 007 (Soft Comput., 2013)

Modeling Parameter Interactions in Ranking SVM. - Yaogong Zhang; Jun Xu 001; Yanyan Lan; Jiafeng Guo; Maoqiang Xie; Yalou Huang; Xueqi Cheng (CIKM, 2015)

Weighted Graph Constraint and Group Centric Non-negative Matrix Factorization for gene-phenotype association prediction. - Yaogong Zhang; Yuan Wang; Jiahui Liu 010; Yalou Huang; Maoqiang Xie (ISCC, 2017)

Mining Functional Modules by Multiview-NMF of Phenome-Genome Association. - Yaogong Zhang; Yingjie Xu; Xin Fan; YuXiang Hong; Jiahui Liu 010; Zhicheng He 001; Yalou Huang; Maoqiang Xie (CoRR, 2017)

Neighborhood Constraint Matrix Completion for Drug-Target Interaction Prediction. - Xin Fan; YuXiang Hong; Xiaohu Liu; Yaogong Zhang; Maoqiang Xie (PAKDD (1), 2018)

Prioritizing disease genes with an improved dual label propagation framework. - Yaogong Zhang; Jiahui Liu 010; Xiaohu Liu; Xin Fan; YuXiang Hong; Yuan Wang; Yalou Huang; Maoqiang Xie (BMC Bioinform., 2018)

Multi-Resolutional Collaborative Heterogeneous Graph Convolutional Auto-Encoder for Drug-Target Interaction Prediction. - Xu Jin; MingMing Liu; Lin Wang; WenQian He; Yalou Huang; Maoqiang Xie (BIBM, 2020)

Collaborative linear manifold learning for link prediction in heterogeneous networks. - Jiahui Liu 010; Xu Jin; YuXiang Hong; Fan Liu; QiXiang Chen; Yalou Huang; MingMing Liu; Maoqiang Xie; Fengchi Sun (Inf. Sci., 2020)

Prioritizing Disease Genes via Multi-View Nonnegative Matrix Factorization with Layer-Wise Explicit Hierarchical Constraint. - Xu Jin; MingMing Liu; WenQian He; Lin Wang; Ling Ma; Yalou Huang; Maoqiang Xie (BIBM, 2021)

Automatic segmentation of the prostate on MR images based on anatomy and deep learning. - Lei Tao; Ling Ma 004; Maoqiang Xie; Xiabi Liu; Zhiqiang Tian; Baowei Fei (Image-Guided Procedures, 2021)

A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations. - Lin Wang; MingMing Liu; WenQian He; Xu Jin; Maoqiang Xie; Yalou Huang (PAKDD (1), 2021)

A Heterogeneous Ranking Contrastive Learning Method for Drug-Target Interaction Prediction. - Desheng Kong; Xu Jin; Maoqiang Xie; MingMing Liu; Yanhao Li; Jingjing He; Hao Shi; Yiran Wan; Yalou Huang; Weiwei Yang (BIBM, 2023)

Predicting Distant Drug-Target Interactions via a Random Walk Guided Graph Neural Network. - Xu Jin; Maoqiang Xie; Yalou Huang; Mingming Liu; Desheng Kong; Yuhang Xuan; Yang Kuang (BIBM, 2024)

A Heterogeneous Cross Contrastive Learning Method for Drug-Target Interaction Prediction. - Qi Wang; Jiachang Gu; Jiahao Zhang; Mingming Liu; Xu Jin; Maoqiang Xie (ICIC (LNBI 1), 2024)

Self-supervised reconstructed graph learning for link prediction in bipartite graphs. - Xu Jin; Desheng Kong; Maoqiang Xie; Yalou Huang; Mingming Liu; Weiwei Yang; Hao Shi; Yue Liu (Neurocomputing, 2024)