| 2021 | CiE | Computability of Limit Sets for Two-Dimensional Flows. | Daniel Silva Graa, Ning Zhong |
| 2018 | CiE | Computability of Ordinary Differential Equations. | Daniel Silva Graa, Ning Zhong |
| 2018 | ICDM | Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation. | Zhaoqiang Li, Jiajin Huang, Ning Zhong |
| 2017 | SIGIR | A Poisson Regression Method for Top-N Recommendation. | Jiajin Huang, Jian Wang, Ning Zhong |
| 2015 | CiE | On Computability of Navier-Stokes' Equation. | Shu-Ming Sun, Ning Zhong, Martin Ziegler |
| 2015 | KSEM | GPS-Based Location Recommendation Using a Belief Network Model. | Kunlei Zhu, Jiajin Huang, Ning Zhong |
| 2015 | VRST | Evaluating warped projection cameras. | Bo Brinkman, Markus Ernst, Ning Zhong |
| 2013 | CiE | Computability and Computational Complexity of the Evolution of Nonlinear Dynamical Systems. | Olivier Bournez, Daniel Silva Graa, Amaury Pouly, Ning Zhong |
| 2013 | CogSci | Different Strategies in Solving Series Completion Inductive Reasoning Problems: An fMRI and Computational Study. | Peipeng Liang, Xiuqin Jia, Niels A. Taatgen, Ning Zhong, Kuncheng Li |
| 2013 | WISE | A System to Generate Mobile Data Based on Real User Behavior. | Runqiang Du, Jiajin Huang, Zhisheng Huang, Hui Wang, Ning Zhong |
| 2012 | CIKM | Ranking and combining social network data for web personalization. | Yi Zeng, Hongwei Hao, Ning Zhong, Xu Ren, Yan Wang |
| 2012 | WWW | User interests driven web personalization based on multiple social networks. | Yi Zeng, Ning Zhong, Xu Ren, Yan Wang |
| 2011 | KSEM | Interest Logic and Its Application on the Web. | Yi Zeng, Zhisheng Huang, Fenrong Liu, Xu Ren, Ning Zhong |
| 2010 | IJCNN | Two perspectives to investigate the intrinsic organization of the dynamic and ongoing spontaneous brain activity in humans. | Zhijiang Wang, Jiming Liu, Ning Zhong, Haiyan Zhou, Yulin Qin |
| 2010 | IJCNN | Data-Brain driven multi-aspect mining process planning. | Ning Zhong, Jianhui Chen |
| 2010 | KDD | Mining positive and negative patterns for relevance feature discovery. | Yuefeng Li, Abdulmohsen Algarni, Ning Zhong |
| 2009 | ADMA | Virus Propagation and Immunization Strategies in Email Networks. | Jiming Liu, Chao Gao, Ning Zhong |
| 2009 | CCA | Computable Analysis of Differential Equations (Invited Talk). | Ning Zhong |
| 2009 | HIS | Using Multi-phase Cost-Sensitive Learning to Filtering Spam. | Wenbin Li, Yiying Cheng, TaiFeng Liu, Xindong Zhang, Ning Zhong |
| 2009 | ICDM | Peculiarity Analysis for Classifications. | Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang |
| 2009 | ISMIS | A Distributed Immunization Strategy Based on Autonomy-Oriented Computing. | Jiming Liu, Chao Gao, Ning Zhong |
| 2009 | UC | Computing Domains of Attraction for Planar Dynamics. | Daniel Silva Graa, Ning Zhong |
| 2008 | GRC | A Hypergraph Model of Granular Computing. | Guang Chen, Ning Zhong, Yiyu Yao |
| 2008 | GRC | Unifying Study on Human and Web Problem Solving: A Brain Informatics Perspective. | Ning Zhong |
| 2008 | ICSE | A Generic Formal Framework for Protocol Interoperability Test and Test Cases Minimization. | Ning Zhong, Zun-wen He, Jingming Kuang |
| 2008 | KDD | Local peculiarity factor and its application in outlier detection. | Jian Yang, Ning Zhong, Yiyu Yao, Jue Wang |
| 2007 | CIDM | A Constraint-based Method for Semantic Mapping from Natural Language Questions to OWL. | Mingxia Gao, Jiming Liu, Ning Zhong, Furong Chen |
| 2007 | ICNC | An Optimal Wavelet-Based Image Watermarking via Genetic Algorithm. | Ning Zhong, Zunwen He, Jingming Kuang, Zhi-hai Zhuo |
| 2007 | IJCNN | Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence. | Peipeng Liang, Ning Zhong, Jing-Long Wu, Shengfu Lu, Jiming Liu, Yiyu Yao |
| 2006 | COMPSAC | How to Make "Web Intelligence (WI) meets Brain Informatics (BI)" Successfully? | Ning Zhong |
| 2006 | GRC | The Impending Revolution in Web Intelligence (WI) and Brain Informatics (BI). | Ning Zhong |
| 2006 | ISMIS | Combining Multiple Email Filters Based on Multivariate Statistical Analysis. | Wenbin Li, Ning Zhong, Chunnian Liu |
| 2006 | PRICAI | Impending Web Intelligence (WI) and Brain Informatics (BI) Research. | Ning Zhong |
| 2006 | TAMC | Beyond the First Main Theorem - When Is the Solution of a Linear Cauchy Problem Computable? | Klaus Weihrauch, Ning Zhong |
| 2005 | CiE | Computable Analysis of a Non-homogeneous Boundary-Value Problem for the Korteweg-de Vries Equation. | Ning Zhong |
| 2005 | GRC | Analyzing hepatitis data using ordered information. | Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Y. Y. Yao |
| 2005 | ISMIS | Multi-strategy Instance Selection in Mining Chronic Hepatitis Data. | Masatoshi Jumi, Einoshin Suzuki, Muneaki Ohshima, Ning Zhong, Hideto Yokoi, Katsuhiko Takabayashi |
| 2005 | MDAI | Building a Brain-Informatics Portal on the Wisdom Web with a Multi-layer Grid: A New Challenge for Web Intelligence Research. | Ning Zhong |
| 2004 | ICDM | Relational Peculiarity Oriented Data Mining. | Ning Zhong, Chunnian Liu, Yiyu Yao, Muneaki Ohshima, Mingxin Huang, Jiajin Huang |
| 2004 | PAKDD | Peculiarity Oriented Analysis in Multi-people Tracking Images. | Muneaki Ohshima, Ning Zhong, Yiyu Yao, Shinichi Murata |
| 2003 | ICDM | Interpretations of Association Rules by Granular Computing. | Yuefeng Li, Ning Zhong |
| 2003 | IDEAL | Peculiarity Oriented Mining in Multiple Human Brain Data. | Ning Zhong, Akio Nakamaru, Muneaki Ohshima, Jing-Long Wu, Hiroaki Mizuhara |
| 2003 | ISMIS | First-Order Rules Mining Guided by Information Gain. | Xinwu Yang, Chunnian Liu, Ning Zhong |
| 2003 | ISMIS | Granular Computing Based on Rough Sets, Quotient Space Theory, and Belief Functions. | Y. Y. Yao, Churn-Jung Liau, Ning Zhong |
| 2003 | ISMIS | A New Approach to Constraint Inductive Logic Programming. | Lei Zheng, Chunnian Liu, Dong Jia, Ning Zhong |
| 2002 | IDEAL | A Text Mining Agents Based Architecture for Personal E-mail Filtering and Management. | Ning Zhong, Takahisa Matsunaga, Chunnian Liu |
| 2002 | IDEAL | Framework of a Multi-agent KDD System. | Ning Zhong, Yasuaki Matsui, Tomohiro Okuno, Chunnian Liu |
| 2002 | ISMIS | Roles of Ontologies for Web Intelligence. | Ning Zhong, Norichika Hayazaki |
| 2002 | PAKDD | Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR. | Ning Zhong, Juzhen Dong |
| 2001 | COCOON | A Highly Efficient Algorithm to Determine Bicritical Graphs. | Dingjun Lou, Ning Zhong |
| 2001 | COCOON | Turing Computability of a Nonlinear Schrdinger Propagator. | Klaus Weihrauch, Ning Zhong |
| 2001 | COMPSAC | Mining Market Value Functions for Targeted Marketing. | Yiyu Yao, Ning Zhong |
| 2001 | ICDM | Data Analysis and Mining in Ordered Information Tables. | Ying Sai, Yiyu Yao, Ning Zhong |
| 2001 | ICDM | Interestingness, Peculiarity, and Multi-Database Mining. | Ning Zhong, Y. Y. Yao, Muneaki Ohshima, Setsuo Ohsuga |
| 2001 | PAKDD | Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data. | Ning Zhong, Muneaki Ohshima, Setsuo Ohsuga |
| 2000 | CCA | Is the Linear Schrdinger Propagator Turing Computable? | Klaus Weihrauch, Ning Zhong |
| 2000 | COMPSAC | Web Intelligence (WI). | Ning Zhong, Jiming Liu, Yiyu Yao, Setsuo Ohsuga |
| 2000 | ISMIS | A Multi-agent Based Architecture for Distributed KDD Process. | Chunnian Liu, Ning Zhong, Setsuo Ohsuga |
| 2000 | PAKDD | On Association, Similarity and Dependency of Attributes. | Yiyu Yao, Ning Zhong |
| 1999 | ICALP | The Wave Propagator Is Turing Computable. | Klaus Weihrauch, Ning Zhong |
| 1999 | ISMIS | Probabilistic Rough Induction: The GDT-RS Methodology and Algorithms. | Juzhen Dong, Ning Zhong, Setsuo Ohsuga |
| 1999 | KES | Multi-lingual intelligent information retriever with automated ontology generator. | Kazuyuki Yoshinaga, Takao Terano, Ning Zhong |
| 1999 | PAKDD | An Analysis of Quantitative Measures Associated with Rules. | Yiyu Yao, Ning Zhong |
| 1998 | DIS | GDT-RS: A Probabilistic Rough Induction Approach. | Juzhen Dong, Ning Zhong, Setsuo Ohsuga |
| 1998 | PAKDD | Data Mining Based on the Generalization Distribution Table and Rough Sets. | Ning Zhong, Juzhen Dong, Setsuo Ohsuga |
| 1998 | SMC | Handling KDD process iteration by integration of planning and controlling. | Chunnian Liu, Ning Zhong |
| 1997 | ISMIS | A Way of Increasing Both Autonomy and Versality of a KDD System. | Ning Zhong, Chunnian Liu, Setsuo Ohsuga |
| 1997 | KDD | KDD Process Planning. | Ning Zhong, Chunnian Liu, Yoshitsugu Kakemoto, Setsuo Ohsuga |
| 1996 | CCA | The Wave Equation with Computable Initial Data Whose Unique Solution is Nowhere Computable. | Marian Boykan Pour-El, Ning Zhong |
| 1996 | ISMIS | A Multi-Step Process for Discovering, Managing and Refining Strong Functional Relations Hidden in Databases. | Ning Zhong, Setsuo Ohsuga |
| 1995 | KDD | Toward a Multi-Strategy and Cooperative Discovery System. | Ning Zhong, Setsuo Ohsuga |
| 1994 | ICTAI | IIBR-A System for Managing/Refining Structural Characteristics Discovered from Databases. | Ning Zhong, Setsuo Ohsuga |
| 1994 | ISMIS | The GLS Discovery System: Its Goal, Architecture and Current Results. | Ning Zhong, Setsuo Ohsuga |
| 1993 | ALT | A Decomposition Based Induction Model for Discovering Concept Clusters from Databases. | Ning Zhong, Setsuo Ohsuga |
| 1993 | DEXA | An Integrated Calculation Model for Discovering Functional relations from Databases. | Ning Zhong, Setsuo Ohsuga |
| 1993 | ICTAI | HML - An Approach for Refining/Managing Knowledge Discovered from Databases. | Ning Zhong, Setsuo Ohsuga |