Robust sparse rank learning for non-smooth ranking measures. - Zhengya Sun; Tao Qin; Qing Tao; Jue Wang 004 (SIGIR, 2009)

Reducing Position-Sensitive Subset Ranking to Classification. - Zhengya Sun; Wei Jin; Jue Wang 004 (Canadian AI, 2011)

Generic subset ranking using binary classifiers. - Zhengya Sun; Wei Jin; Jue Wang 004 (Theor. Comput. Sci., 2012)

Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems. - Qing Tao; Zhengya Sun; Kang Kong (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A Fast Matching Method Based on Semantic Similarity for Short Texts. - Jiaming Xu 001; Pengcheng Liu 001; Gaowei Wu; Zhengya Sun; Bo Xu 002; Hongwei Hao (NLPCC, 2013)

Scalable Learning for Structure in Markov Logic Networks. - Zhengya Sun; Zhuoyu Wei; Jue Wang 004; Hongwei Hao (StarAI@AAAI, 2014)

Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances. - Zhuoyu Wei; Jun Zhao 001; Kang Liu 001; Zhenyu Qi 003; Zhengya Sun; Guanhua Tian (CIKM, 2015)

Meta-Path based Nonnegative Matrix Factorization for clustering on multi-type relational data. - Yangyang Zhao; Zhengya Sun; Changsheng Xu; Hongwei Hao (IJCNN, 2015)

Seamlessly Integrating Effective Links with Attributes for Networked Data Classification. - Yangyang Zhao; Zhengya Sun; Changsheng Xu; Hongwei Hao (PAKDD (2), 2015)

Selecting feature subset with sparsity and low redundancy for unsupervised learning. - Jiuqi Han; Zhengya Sun; Hongwei Hao (Knowl. Based Syst., 2015)

l0-norm based structural sparse least square regression for feature selection. - Jiuqi Han; Zhengya Sun; Hongwei Hao (Pattern Recognit., 2015)

Structural feature-based event clustering for short text streams. - Zhengya Sun; Jiuqi Han; Hongwei Hao (ICPR, 2016)

Scalable learning and inference in Markov logic networks. - Zhengya Sun; Yangyang Zhao; Zhuoyu Wei; Wensheng Zhang 002; Jue Wang 004 (Int. J. Approx. Reason., 2017)

Hierarchical Multilabel Classification with Optimal Path Prediction. - Zhengya Sun; Yangyang Zhao; Dong Cao; Hongwei Hao (Neural Process. Lett., 2017)

Enhancing Knowledge Graph Completion with Positive Unlabeled Learning. - Jinghao Niu; Zhengya Sun; Wensheng Zhang 002 (ICPR, 2018)

Multi-task Character-Level Attentional Networks for Medical Concept Normalization. - Jinghao Niu; Yehui Yang; Siheng Zhang; Zhengya Sun; Wensheng Zhang 002 (Neural Process. Lett., 2019)

Improve the translational distance models for knowledge graph embedding. - Siheng Zhang; Zhengya Sun; Wensheng Zhang 002 (J. Intell. Inf. Syst., 2020)

Discriminative structure learning of sum-product networks for data stream classification. - Zhengya Sun; Cheng-Lin Liu; Jinghao Niu; Wensheng Zhang 002 (Neural Networks, 2020)

Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks. - Jinghao Niu; Yongqiang Tang; Zhengya Sun; Wensheng Zhang 002 (IEEE J. Biomed. Health Informatics, 2020)

Enhancing knowledge graph embedding with relational constraints. - Mingda Li; Zhengya Sun; Siheng Zhang; Wensheng Zhang 002 (Neurocomputing, 2021)

Composition-driven symptom phrase recognition for Chinese medical consultation corpora. - Xuan Gu; Zhengya Sun; Wensheng Zhang 002 (BMC Medical Informatics Decis. Mak., 2021)

SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities. - Mingda Li; Zhengya Sun; Wensheng Zhang 002 (Neurocomputing, 2022)

Multi-level semantic fusion network for Chinese medical named entity recognition. - Jintong Shi; Mengxuan Sun; Zhengya Sun; Mingda Li; Yifan Gu; Wensheng Zhang 002 (J. Biomed. Informatics, 2022)

Self-Supervised Auxiliary Domain Alignment for Unsupervised 2D Image-Based 3D Shape Retrieval. - An-An Liu; Chenyu Zhang 003; Wenhui Li 001; Xingyu Gao 001; Zhengya Sun; Xuanya Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

Improving fraud detection via hierarchical attention-based Graph Neural Network. - Yajing Liu; Zhengya Sun; Wensheng Zhang 002 (J. Inf. Secur. Appl., 2023)

Leveraging semantic property for temporal knowledge graph completion. - Mingda Li; Zhengya Sun; Wensheng Zhang 002; Wei Liu (Appl. Intell., 2023)

Rare-aware attention network for image-text matching. - Yan Wang 114; Yuting Su 001; Wenhui Li 001; Zhengya Sun; Zhiqiang Wei 002; Jie Nie; Xuanya Li; An-An Liu (Inf. Process. Manag., 2023)

Dynamic graphs attention for ocean variable forecasting. - Junhao Wang; Zhengya Sun; Chunxin Yuan; Wenhui Li 001; An-An Liu; Zhiqiang Wei 002; Bo Yin (Eng. Appl. Artif. Intell., 2024)

Adaptive Graph Spatial-Temporal Attention Networks for long lead ENSO prediction. - Chengyu Liang; Zhengya Sun; Gaojin Shu; Wenhui Li 001; An-An Liu; Zhiqiang Wei 002; Bo Yin (Expert Syst. Appl., 2024)

Text-Guided Knowledge Transfer for Remote Sensing Image-Text Retrieval. - An-An Liu; Bo Yang; Wenhui Li 001; Dan Song 006; Zhengya Sun; Tongwei Ren; Zhiqiang Wei 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

Multiscale Spatio-Temporal Attention Network for Sea Surface Temperature Prediction. - Zhenxiang Bai; Zhengya Sun; Bojie Fan; An-An Liu; Zhiqiang Wei 002; Bo Yin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Cross-Domain Adversarial Learning for Sea Surface Temperature Super-Resolution. - Wenhui Li 001; Jingyi Wang; Dan Song 006; Zhengya Sun; Zhiqiang Wei 002; An-An Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Shapley value-based class activation mapping for improved explainability in neural networks. - Huaiguang Cai; Yang Yang 056; Yongqiang Tang; Zhengya Sun; Wensheng Zhang 002 (Vis. Comput., 2025)

Maximizing mutual information across knowledge graphs for robust entity alignment. - Ao Gao; Mingda Li; Wei Liu; Zhengya Sun; Neng Wan (Expert Syst. Appl., 2026)