Jianzhong Chen

Stephen Muggleton, Jianzhong Chen: Guest editorial: special issue on Inductive Logic Programming (ILP 2011). Machine Learning 89(3): 213-214 (2012)

Yingtao Niu, Fuqiang Yao, Jianzhong Chen: Low-Complexity Anti-Jamming Capability Evaluation Method of Wireless Communication System. CyberC 2012: 465-468

Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen Muggleton, Pooja Jain, Michael J. E. Sternberg, Charles Baxter, Richard A. Currie, Stuart J. Dunbar, Mark Earll, José Domingo Salazar: Does Multi-Clause Learning Help in Real-World Applications? ILP 2012: 221-237

Miao Yu, Jianzhong Chen, Lei Shen, Shiju Li: Blind Separation of DS-CDMA Signals with ICA Method. JNW 6(2): 198-205 (2011)

Stephen Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg: Variation of Background Knowledge in an Industrial Application of ILP. ILP 2010: 158-170

Miao Yu, Jianzhong Chen, Shiju Li: Average filtered blind separation of DS-CDMA signals with ICA method. WCNIS 2010: 234-237

Miao Yu, Shiju Li, Jianzhong Chen: Convergence characteristics analysis on blind separation of DS-CDMA signals with ICA method. WCNIS 2010: 238-242

Qingyu Ma, Jianzhong Chen: Principle and Performance of Magnetically Induced Magnetoacoustic Tomography for Tissues with Cone Shaped Transducer. BMEI 2009: 1-5

Jianzhong Chen, Zhongke Shi, Yanmei Hu: Mapped WENO Reconstructions in Relaxation Scheme for Hyperbolic Conservation Laws. CSO (1) 2009: 262-265

Tianyin Xu, Jianzhong Chen, Wenzhong Li, Sanglu Lu, Yang Guo, Mounir Hamdi: Supporting VCR-Like Operations in Derivative Tree-Based P2P Streaming Systems. ICC 2009: 1-5

Jianzhong Chen, Stephen Muggleton, José Carlos Almeida Santos: Learning probabilistic logic models from probabilistic examples. Machine Learning 73(1): 55-85 (2008)

Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg: Protein Fold Discovery Using Stochastic Logic Programs. Probabilistic Inductive Logic Programming 2008: 244-262

Stephen Muggleton, Jianzhong Chen: A Behavioral Comparison of Some Probabilistic Logic Models. Probabilistic Inductive Logic Programming 2008: 305-324

Jianzhong Chen, Zhongke Shi, Yanmei Hu: Numerical Solution of a Two-Class LWR Traffic Flow Model by High-Resolution Central-Upwind Scheme. International Conference on Computational Science (1) 2007: 17-24

Yilin Wang, Wenzhong Li, Jianzhong Chen, Sanglu Lu, Fang Wang, Daoxu Chen: RSB-Topo: A Topology Adaptation Algorithm for Unstructured P2P Networks. ICPP Workshops 2007: 73

Jianzhong Chen, Stephen Muggleton, Jose Santos: Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract). ILP 2007: 22-23

Jianzhong Chen, Stephen Muggleton, Jose Santos: Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning. MLG 2007

Shuyang Sun, Jianzhong Chen, Dayou Liu, Chengmin Sun: A Posterior-Based Method for Markov Logic Networks Parameters Learning. IEEE ICCI 2006: 529-534

Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg: Multi-class Prediction Using Stochastic Logic Programs. ILP 2006: 109-124

Jianzhong Chen, Mary Shapcott, Sally I. McClean, Kenneth Adamson: Hierarchical Model-Based Clustering for Relational Data. ICEIS (2) 2004: 92-97

Jianzhong Chen, Mary Shapcott, Sally I. McClean, Kenneth Adamson: Hierarchical model-based clustering of relational data with aggregates. SAC 2004: 620-621

Jianzhong Chen, Mary Shapcott, Sally I. McClean, Kenneth Adamson: Learning with Concept Hierarchies in Probabilistic Relational Data Mining. WAIM 2002: 104-115