Cardinal Direction Relations in 3D Space. - Juan Chen 008; Dayou Liu; Haiyang Jia; Changhai Zhang (KSEM, 2007)

Combinative Reasoning with RCC5 and Cardinal Direction Relations. - Juan Chen 008; Dayou Liu; Changhai Zhang; Qi Xie (KSEM, 2007)

A Hybrid Approach for Learning Markov Equivalence Classes of Bayesian Network. - Haiyang Jia; Dayou Liu; Juan Chen 008; Xin Liu (KSEM, 2007)

Inversing Cardinal Direction Relations. - Juan Chen 008; Haiyang Jia; Dayou Liu; Changhai Zhang (FCST, 2010)

Soil fertility grading with Bayesian Network transfer learning. - Haiyang Jia; Juan Chen 008; Helong Yu; Dayou Liu (ICMLC, 2010)

Composing Cardinal Direction Relations Basing on Interval Algebra. - Juan Chen 008; Haiyang Jia; Dayou Liu; Changhai Zhang (KSEM, 2010)

Composing Cardinal Direction Relations Based on Interval Algebra. - Juan Chen 008; Haiyang Jia; Dayou Liu; Changhai Zhang (Int. J. Softw. Informatics, 2010)

Learning the structure of Dynamic Bayesian Network with domain knowledge. - Juan Chen 008; Haiyang Jia; Yuxiao Huang; Dayou Liu (ICMLC, 2012)

A search problem in complex diagnostic Bayesian networks. - Dayou Liu; Yuxiao Huang; Qiangyuan Yu; Juan Chen 008; Haiyang Jia (Knowl. Based Syst., 2012)

A survey of qualitative spatial representations. - Juan Chen 008; Anthony G. Cohn 001; Dayou Liu; Sheng-Sheng Wang 001; Jihong Ouyang; Qiangyuan Yu (Knowl. Eng. Rev., 2015)

Causal Discovery with Bayesian Networks Inductive Transfer. - Haiyang Jia; Zuoxi Wu; Juan Chen 008; Bingguang Chen; Sicheng Yao (KSEM (1), 2018)

Research on Distribution Alignment and Semantic Consistency in the Adversarial Domain Adaptation. - Jingcheng Ni; Haiyang Jia; Fangyuan Zhang; Yixuan Wang; Juan Chen 008 (KSEM (2), 2018)

A Novel Multi-Scale Adversarial Networks for Precise Segmentation of X-Ray Breast Mass. - Juan Chen 008; Liangyong Chen; Shengsheng Wang 001; Peng Chen 033 (IEEE Access, 2020)

Interval Occlusion Calculus with Size Information. - Juan Chen 008; Ang Gao; Haiyang Jia; Yuanteng Xu; Xianglu Zhou (KSEM, 2021)

Image Super-Resolution Based on Residual Block Dense Connection. - Juan Chen 008; Ang Gao; Siqi Liu; Haiyang Jia; Yifan Shao; Wenxin Tang (KSEM, 2021)

Student Behavior Analysis and Performance Prediction Based on Blended Learning Data. - Juan Chen 008; Fengrui Fan; Haiyang Jia; Yuanteng Xu; Hanchen Dong; Xiaopai Huang; Jianyu Li; Zhongrui Zhang (KSEM (2), 2022)

Feature Matching Based Heterogeneous Transfer Learning for Student Performance Prediction. - Juan Chen 008; Haiyang Jia; Zhongbo Wu; Junxian Mu; Ang Gao (KSEM (2), 2024)

A Student Performance Prediction Model Based on Feature Factor Transfer. - Juan Chen 008; Zhongbo Wu; Haiyang Jia; Qingqing Zhang; Fanping Liu; Junxian Mu; Zhijie Lin (KSEM (2), 2024)

Discovering latent target subdomains for domain adaptive semantic segmentation via style clustering. - Ang Li; Sheng-Sheng Wang 001; Xin Zhao 021; Juan Chen 008 (Multim. Tools Appl., 2024)