| 2020 | ICPR | Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? | Xiang Deng, Zhongfei (Mark) Zhang |
| 2019 | KSEM | Efficient Network Representations Learning: An Edge-Centric Perspective. | Shichao Liu, Shuangfei Zhai, Lida Zhu, Fuxi Zhu, Zhongfei (Mark) Zhang, Wen Zhang |
| 2017 | AAAI | Learning with Feature Network and Label Network Simultaneously. | Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang |
| 2017 | IJCAI | Boosted Zero-Shot Learning with Semantic Correlation Regularization. | Te Pi, Xi Li, Zhongfei (Mark) Zhang |
| 2016 | AAAI | Learning with Marginalized Corrupted Features and Labels Together. | Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang |
| 2016 | AAAI | Semisupervised Autoencoder for Sentiment Analysis. | Shuangfei Zhai, Zhongfei (Mark) Zhang |
| 2016 | IJCAI | Multi-View Learning with Limited and Noisy Tagging. | Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang |
| 2016 | KDD | DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. | Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2015 | AAAI | Structured Embedding via Pairwise Relations and Long-Range Interactions in Knowledge Base. | Fei Wu, Jun Song, Yi Yang, Xi Li, Zhongfei (Mark) Zhang, Yueting Zhuang |
| 2015 | DSAA | Sensor network partitioning based on homogeneity. | Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu |
| 2015 | SDM | Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs. | Shuangfei Zhai, Zhongfei (Mark) Zhang |
| 2013 | CIKM | Discriminative feature selection for multi-view cross-domain learning. | Zheng Fang, Zhongfei (Mark) Zhang |
| 2013 | CIKM | Scientific articles recommendation. | Yingming Li, Ming Yang, Zhongfei (Mark) Zhang |
| 2013 | ICDM | Bayesian Multi-Task Relationship Learning with Link Structure. | Yingming Li, Ming Yang, Zhongang Qi, Zhongfei (Mark) Zhang |
| 2012 | CIKM | Mining noisy tagging from multi-label space. | Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang |
| 2012 | ICDM | Simultaneously Combining Multi-view Multi-label Learning with Maximum Margin Classification. | Zheng Fang, Zhongfei (Mark) Zhang |
| 2012 | PAKDD | Unsupervised Ensemble Learning for Mining Top-n Outliers. | Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu |
| 2011 | KDD | Mining partially annotated images. | Zhongang Qi, Ming Yang, Zhongfei (Mark) Zhang, Zhengyou Zhang |
| 2011 | PAKDD | RKOF: Robust Kernel-Based Local Outlier Detection. | Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Xiaoqin Zhang, Ou Wu |
| 2010 | ICPR | Local Outlier Detection Based on Kernel Regression. | Jun Gao, Weiming Hu, Wei Li, Zhongfei (Mark) Zhang, Ou Wu |
| 2008 | AAAI | Clustering on Complex Graphs. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu |
| 2008 | ICDM | Dirichlet Process Based Evolutionary Clustering. | Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long |
| 2008 | ICDM | Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State. | Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, Bo Long |
| 2008 | ISM | Supervised Learning for Head Pose Estimation Using SVD and Gabor Wavelets. | Adel Lablack, Zhongfei (Mark) Zhang, Chabane Djeraba |
| 2008 | PAKDD | Mining Bulletin Board Systems Using Community Generation. | Ming Li, Zhongfei (Mark) Zhang, Zhi-Hua Zhou |
| 2008 | SDM | Semi-Supervised Learning Based on Semiparametric Regularization. | Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Christos Faloutsos |
| 2008 | SDM | A General Model for Multiple View Unsupervised Learning. | Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang |
| 2007 | AAAI | Graph Partitioning Based on Link Distributions. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2007 | ICDM | Community Learning by Graph Approximation. | Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2007 | ICML | Relational clustering by symmetric convex coding. | Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu |
| 2007 | KDD | A probabilistic framework for relational clustering. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2006 | AAAI | Improve Web Search Using Image Snippets. | Xiao-Bing Xue, Zhi-Hua Zhou, Zhongfei (Mark) Zhang |
| 2006 | ICML | Spectral clustering for multi-type relational data. | Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip S. Yu |
| 2006 | KDD | Unsupervised learning on k-partite graphs. | Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2005 | CVPR | Semi-Supervised Learning Based Object Detection in Aerial Imagery. | Jian Yao, Zhongfei (Mark) Zhang |
| 2005 | ICCV | Object Detection in Aerial Imagery Based on Enhanced Semi-Supervised Learning. | Jian Yao, Zhongfei (Mark) Zhang |
| 2005 | ICCV | A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva. | Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang |
| 2005 | ICDM | Combining Multiple Clusterings by Soft Correspondence. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2005 | KDD | Co-clustering by block value decomposition. | Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu |
| 2004 | CVPR | Hidden Semantic Concept Discovery in Region Based Image Retrieval. | Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2004 | ECCV | Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval. | Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2004 | ICPR | Systematic Static Shadow Detection. | Jian Yao, Zhongfei (Mark) Zhang |
| 2004 | ICPR | Region Based a-Semantics Graph Driven Image Retrieval. | Ruofei Zhang, Sandeep Khanzode, Zhongfei (Mark) Zhang |
| 2004 | ICPR | A Bayesian Framework for Automatic Concept Discovery in Image Collections. | Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2004 | KDD | A data mining approach to modeling relationships among categories in image collection. | Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode |
| 2003 | CBMS | "Automatic" Multimodal Medical Image Fusion. | Zhongfei (Mark) Zhang, Jian Yao, Saeed Bajwa, Thomas Gudas |
| 2003 | KDD | Applying data mining in investigating money laundering crimes. | Zhongfei (Mark) Zhang, John J. Salerno, Philip S. Yu |
| 2001 | CBMS | A Web-Based Multimedia Diabetes Mellitus Education Tool for School Nurses. | Zhongfei (Mark) Zhang, Paul E. Knudson, Ruth S. Weinstock, Suzanne Meyer |
| 2001 | CBMS | IBMAS: An Internet Based Medical Archive System. | Zhongfei (Mark) Zhang, Guangbiao Pu, Andrzej Krl |