| 2025 | SMC | Learning protein-ligand binding affinities through an uncertainty-aware attention mechanism. | Debby D. Wang, Tianlun Zhang, Xizhao Wang |
| 2024 | ICMLC | Enhancing Drug-Drug Interaction Prediction by Knowledge Graph Embedding. | Chao Liu, Xizhao Wang, Qiang Liu |
| 2024 | ICMLC | Uncertainty-Aware Modeling for Improving Prediction of Toxicity. | Xinlei Zhou, Xizhao Wang, Xinpeng Zhou, Siwu Tu, Ran Wang |
| 2024 | SMC | On the Adversarial Robustness of Hierarchical Classification. | Ran Wang, Simeng Zeng, Wenhui Wu, Yuheng Jia, Wing W. Y. Ng, Xizhao Wang |
| 2023 | ICMLC | An End-to-End Training Method to Ensemble Bi-Linear Models for Knowledge Graph Completion. | Si Cen, Han Liu, Chao Liu, Xiaoying Zou, Guoquan Dai, Xizhao Wang |
| 2023 | ICMLC | Local Weighted Neighborhood Rough Sets for Weakly Labeled Data. | Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang |
| 2023 | ICMLC | Unsupervised Community Discovery Algorithm via Reconstructed Graph Neural NEtwork. | Jinghong Wang, Hui Wang, Jiateng Yang, Xizhao Wang |
| 2020 | ICA3PP | A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning. | Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming |
| 2019 | IJCNN | An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW. | Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming |
| 2016 | ICMLC | Extreme learning machine based on cross entropy. | Yixin Cui, Junhai Zhai, Xizhao Wang |
| 2016 | ICMLC | Deep stochastic weight assignment network of Chinese chess machine game. | Zhi Wang, Junhai Zhai, Xizhao Wang |
| 2016 | PAKDD | Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. | Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang |
| 2016 | SMC | An approach to sample selection from big data for classification. | Sheng Xing, Yu-Lin He, Hong Zhu, Xizhao Wang |
| 2015 | PAKDD | Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models. | Yu-Lin He, Joshua Zhexue Huang, Xizhao Wang, Rana Aamir Raza |
| 2014 | CEC | Regression ensemble with PSO algorithms based fuzzy integral. | James Nga-Kwok Liu, Yan-Xing Hu, Yu-Lin He, Xizhao Wang |
| 2014 | ICMLC | Study and Improvement of Ordinal Decision Trees Based on Rank Entropy. | Jiankai Chen, Junhai Zhai, Xizhao Wang |
| 2014 | ICMLC | An Improved Approach to Ordinal Classification. | Donghui Wang, Junhai Zhai, Hong Zhu, Xizhao Wang |
| 2014 | ICMLC | Parallel Ordinal Decision Tree Algorithm and Its Implementation in Framework of MapReduce. | Shanshan Wang, Junhai Zhai, Hong Zhu, Xizhao Wang |
| 2014 | ICMLC | Extreme Learning Machine for Interval-Valued Data. | Shixin Zhao, Xizhao Wang |
| 2014 | ICMLC | Monotonic Decision Tree for Interval Valued Data. | Hong Zhu, Junhai Zhai, Shanshan Wang, Xizhao Wang |
| 2014 | SMC | Ensemble online sequential extreme learning machine for large data set classification. | Jun-Hai Zhai, Jinggeng Wang, Xizhao Wang |
| 2013 | ICMLC | Greetings from the General Chairs. | Xizhao Wang, Daniel S. Yeung |
| 2012 | IPMU | Naive Bayesian Classifier Based on Neighborhood Probability. | James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu |
| 2012 | ISNN | A Rank Reduced Matrix Method in Extreme Learning Machine. | Shu-Xia Lu, Guiqiang Zhang, Xizhao Wang |
| 2012 | SMC | Instance selection based on sample entropy for efficient data classification with ELM. | Xizhao Wang, Qing Miao, Meng-Yao Zhai, Junhai Zhai |
| 2012 | SMC | A total error rate multi-class classification. | Xizhao Wang, Meng Zhang, Shu-Xia Lu, Xu Zhou |
| 2011 | ICMLC | A comparative study among different kernel functions in flexible nave Bayesian classification. | James N. K. Liu, Yu-Lin He, Xizhao Wang, Yan-Xing Hu |
| 2011 | SMC | A comparative experimental study of feature-weight learning approaches. | Hong-Jie Xing, Xizhao Wang, Minghu Ha |
| 2011 | SMC | Rough set model and its eight extensions. | Junhai Zhai, Yuanyuan Gao, Meng-Yao Zhai, Xizhao Wang |
| 2010 | SMC | Side effect of cut in decision tree generation for continuous attributes. | Xizhao Wang, Xiang-Hui Gao, Qiang He |
| 2009 | SMC | An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction. | Ling-Cai Dong, Dan Wang, Xizhao Wang |
| 2009 | SMC | Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM. | Mingzhu Lu, C. L. Philip Chen, Jianbing Huo, Xizhao Wang |
| 2008 | SMC | Optimization of combined kernel function for SVM based on large margin learning theory. | Mingzhu Lu, C. L. Philip Chen, Jianbing Huo, Xizhao Wang |
| 2008 | SMC | Application of kernel learning vector quantization to novelty detection. | Hong-Jie Xing, Xizhao Wang, Ruixian Zhu, Dan Wang |
| 2007 | SMC | Heuristic improvement for active learning using localized generalization error as selection criterion. | Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang |
| 2007 | SMC | Solving SVM inverse problems based on clustering. | Xizhao Wang, Shu-Xia Lu, Ruixian Zhu |
| 2006 | ISNN | A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection. | Xizhao Wang, Hui Zhang |
| 2006 | SMC | Induction of Multi-stage decision tree. | Jianbing Huo, Xizhao Wang, Mingzhu Lu, Junfen Chen |
| 2006 | SMC | A Strategy of Merging Branches Based on Margin Enlargement of SVM in Decision Tree Induction. | Chenxiao Yang, Xizhao Wang, Ruixian Zhu |
| 2005 | ADMA | The Infinite Polynomial Kernel for Support Vector Machine. | Degang Chen, Qiang He, Xizhao Wang |
| 2005 | ICMLC | A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. | Degang Chen, Qiang He, Chunru Dong, Xizhao Wang |
| 2005 | ICMLC | A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. | Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan |
| 2005 | ICMLC | A Covariance Matrix Based Approach to Internet Anomaly Detection. | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang |
| 2005 | ICMLC | Reduction of Attributes in Ordinal Decision Systems. | John W. T. Lee, Xizhao Wang, Jinfeng Wang |
| 2005 | ISNN | A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction. | Xizhao Wang, Chunguo Li |
| 2005 | SMC | A feature space analysis for anomaly detection. | Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang |
| 2004 | KES | Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. | Xizhao Wang, Qiang He |
| 2004 | SMC | A study on generalization capability of weighted fuzzy production rules with maximum entropy. | Xizhao Wang, Chunru Dong, Daniel S. Yeung |
| 2003 | SMC | Monotonic decision tree for ordinal classification. | John W. T. Lee, Daniel S. Yeung, Xizhao Wang |
| 2001 | ICCBR | A Fuzzy-Rough Approach for Case Base Maintenance. | Guoqing Cao, Simon C. K. Shiu, Xizhao Wang |
| 2001 | IJCAI | A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. | Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang |
| 2001 | SMC | Using neural network classifier in post-processing system for handwritten Chinese character recognition. | Ruifeng Xu, Daniel S. Yeung, Xizhao Wang |