An End-to-End Multi-Channel Knowledge Graph Neural Network for Accurate Drug-Drug Interaction Prediction [PDF]
Di Wu, Wu Sun, Yi He, Zhong Chen#, and Xin Luo
The 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024. (Regular Paper, Acceptance Rate 2342/9862=23.75%, Accepted)

Cost-sensitive Sparse Group Online Learning for Imbalanced Data Streams [PDF]
Zhong Chen*, Victor Sheng, Andrea Edwards, and Kun Zhang
Machine Learning (MLJ), 2023. (Accepted)

Simplex2vec Backward: From Vectors Back to Simplicial Complex [PDF]
Huixin Zhan, Kun Zhang, Zhong Chen#, and Victor Sheng
The 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), Birmingham, United Kingdom, 2023. (Short Paper, Acceptance Rate 152/554=27.4%, Accepted)

Defending the Graph Reconstruction Attacks for Simplicial Neural Networks [PDF]
Huixin Zhan, Kun Zhang, Zhong Chen#, and Victor Sheng
The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA'23), Thessaloniki, Greece, 2023. (Special Session Paper, Acceptance Rate 12/35=34.3%, Accepted)

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data [PDF]
Cheng Liang, Di Wu, Yi He, Zhong Chen#, Teng Huang, and Xin Luo
The 22ed European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'23), Turin, Italy, 2023. (Regular Paper, Acceptance Rate 199/830=24.0%)

Quitting Smoking after a Cancer Diagnosis is associated with High-Risk Neutrophil-to-Lymphocyte Ratio among Tobacco Use-Related Cancer Survivors [PDF]
You Lu, Katherine Kwong, James Wells, Andrea Edwards, Zhong Chen#, Tung-Sung Tseng, and Kun Zhang
Scientific Reports, 13(1), p.2745, 2023. 

Online Learning in Mixed Data Feature Spaces under Semi-supervision [PDF]
Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen#, and Yi He
The 37th AAAI Conference on Artificial Intelligence (AAAI’23), Washington DC, United States, 2023. (Regular Paper, Acceptance Rate 1721/8777=19.6%)

An Effective Cost-sensitive Sparse Online Learning Framework for Imbalanced Streaming Data Classification and Its Application to Online Anomaly Detection [PDF]
Zhong Chen*, Victor Sheng, Andrea Edwards, and Kun Zhang
Knowledge and Information Systems (KAIS), 65(1), pp. 59–87, 2023. 

Proximal Cost-sensitive Sparse Group Online Learning [PDF]
Zhong Chen*, Huixin Zhan, Victor Sheng, Andrea Edwards, and Kun Zhang
The 2022 IEEE International Conference on Big Data (IEEE Big Data’22), pp. 495-504, Osaka, Japan, 2022. (Regular Paper, Acceptance Rate 122/633=19.3%)

Projection Dual Averaging based Second-order Online Learning [PDF]
Zhong Chen*, Huixin Zhan, Victor Sheng, Andrea Edwards, and Kun Zhang
The 22nd IEEE International Conference on Data Mining (ICDM'22), pp. 51-60, Orlando, Florida, United States, 2022. (Regular Paper, Acceptance Rate 85/885=9.6%)

Driver Gene Detection through Bayesian Network Integration of Mutation and Expression Profiles [PDF]
Zhong Chen*, You Lu, Bo Cao, Wensheng Zhang, Andrea Edwards, and Kun Zhang
Bioinformatics, 38(10), pp. 2781–2790, 2022. 

Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs [PDF]
Zhong Chen*, Wensheng Zhang, Hongwen Deng, and Kun Zhang
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 19(1), pp. 107-120, 2022. 

Insufficient Lycopene Intake is Associated with High Risk of Prostate Cancer: A Cross-Sectional Study from the National Health and Nutrition Examination Survey (2003-2010) [PDF]
You Lu, Andrea Edwards, Zhong Chen#, Tung-sung Tseng, Mirandy Li, Gabrielle V Gonzalez, and Kun Zhang
Frontiers in Public Health (FPH), p.792572, 2021. 

CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data [PDF]
Zhong Chen*, Zhide Fang, Victor Sheng, Andrea Edwards, and Kun Zhang
The 12th IEEE International Conference on Big Knowledge (ICBK'21), pp. 164-173, Auckland, New Zealand, 2021. (Regular Paper)

A Deep Imputation and Inference Framework for Estimating Personalized and Race-specific Causal Effects of Genomic Alterations on PSA [PDF]
Zhong Chen*, Bo Cao, Andrea Edwards, Hongwen Deng, and Kun Zhang
Journal of Bioinformatics and Computational Biology (JBCB), 19(4), p.2150016, 2021. 

Seeking The Exclusive Binding Region of Phenylalkylamine Derivatives on Human T-type Calcium Channels via Homology Modeling and Molecular Dynamics Simulation Approach [PDF]
You Lu, Ming Li, Gi Young Lee, Na Zhao, Zhong Chen#, Andrea Edwards, and Kun Zhang
Pharmacology Research & Perspectives (PRP), 9(3), p.e00783, 2021. 

Adaptive Robust Local Online Density Estimation for Streaming Data [PDF]
Zhong Chen*, Zhide Fang, Victor S Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, and Kun Zhang
International Journal of Machine Learning and Cybernetics (JMLC), 12(6), pp. 1803-1824, 2021. 

Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction [PDF]
Zhong Chen*, Andrea Edwards, and Kun Zhang
The 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB’20), Virtual, pp. 1-8, 2020. (Short Paper, Acceptance Rate 17/130=13.1%)

Inferring Personalized and Race-specific Causal Effects of Genomic Aberrations on Gleason Scores: A Deep Latent Variable Model [PDF]
Zhong Chen*, Andrea Edwards, Chindo Hicks, and Kun Zhang
Frontiers in Oncology (FIO), 10, pp. 272, 2020. 

Learning Discriminative Subregions and Pattern Orders for Facial Gender Classification [PDF]
Zhong Chen*, Andrea Edwards, Yongsheng Gao, and Kun Zhang
Image and Vision Computing (IVC), 89, pp. 144-157, 2019. 

Online Density Estimation over Streaming Data: A Local Adaptive Solution [PDF]
Zhong Chen*, Zhide Fang, Jiabin Zhao, Wei Fan, Andrea Edwards, and Kun Zhang
2018 IEEE International Conference on Big Data (BigData'18), pp. 201-210, Seattle, Washington, United States, 2018. (Regular Paper, Acceptance Rate 98/518=19.7%)

CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning [PDF]
Zhong Chen*, Zhide Fang, Wei Fan, Andrea Edwards, and Kun Zhang
The 2017 SIAM International Conference on Data Mining (SDM'17), pp. 759-767, Houston, Texas, United States, 2017. (Regular Paper, Acceptance Rate 93/358=26.0%)

Construction Method of Concept Lattice Based on Improved Variable Precision Rough Set [PDF]
Ruiling Zhang, Shengwu Xiong, and Zhong Chen#
Neurocomputing (NC), 188, pp. 326-338, 2016. 

An Ontology-based Approach for Measuring Semantic Similarity Between Words [PDF]
Ruiling Zhang, Shengwu Xiong, and Zhong Chen#
International Conference on Intelligent Computing (ICIC'15), 9227, pp. 510-516, 2015. 

Personalized Route Planning System Based on Wardrop Equilibrium Model for Campus Evacuation [PDF]
Pengfei Duan, Haohao Zhang, Shengwu Xiong, Siqin Zhou, Zhong Chen#, and Pengcheng Yang
The 2nd International Symposium on Dependable Computing and Internet of Things (DCIT'15), 2015. 

An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China [PDF]
Zhong Chen*, Shengwu Xiong, Qingzhou Mao, Zhixiang Fang, and Xiaohan Yu
Advances in Multimedia (AIM), 2015. 

Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines [PDF]
Zhong Chen*, Shengwu Xiong, Zhixiang Fang, Ruiling Zhang, Xiangzhen Kong, and Yi Rong
Mathematical Problems in Engineering (MPIE), 2015. 

A Kernel Support Vector Machine-based Feature Selection Approach for Recognizing Flying Apsaras’ Streamers in the Dunhuang Grotto Murals, China [PDF]
Zhong Chen*, Shengwu Xiong, Zhixiang Fang, Qingquan Li, Baolin Wang, and Qin Zou
Pattern Recognition Letters (PRL), 49, pp. 107-113, 2014. 

Subspace Clustering Mutation Operator for Developing Convergent Differential Evolution Algorithm [PDF]
Zhongbo Hu, Shengwu Xiong, Xiuhua Wang, Qinghua Su, Mianfang Liu, and Zhong Chen#
Mathematical Problems in Engineering (MPIE), 2014. 

Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO [PDF]
Jialiang Kou, Shengwu Xiong, Zhixiang Fang, Xinlu Zong, and Zhong Chen#
Computational Intelligence and Neuroscience (CIN), 2013.