Zhong (Carson) Chen

Zhong (Carson) Chen
Assistant Professor in Data Science and Machine Learning
School of Computing, Southern Illinois University (SIU), Carbondale, IL, United States

Office: Engineering Building
Address: 1230 Lincoln Dr, Carbondale, IL 62901 (MAIL CODE 4511)
Southern Illinois University (SIU), Carbondale, IL, United States

Emails: zhong.chen AT cs DOT siu DOT edu (or zchen2 AT kumc DOT edu or zchen AT xula DOT edu) 
Homepage: https://pursuerchen.github.io/homepage
Dirtector of LOAD Lab: Learning, Optimization, and Analysis from Data Lab (LOAD Lab)
School of Computing at SIU: https://soc.siu.edu/ 
SIU department website: https://cs.siu.edu/faculty-staff/continuing_faculty.php

[Google Scholar] [Github] [LinkedIn] [ResearchGate] [DBLP] [ORCiD]

Biography

I'm currently working as a tenure-track Assistant Professor (Data Science/Machine Learning) in the School of Computing, Southern Illinois University (SIU), Carbondale, Illinois. I'm also the Director of Learning, Optimization, and Analysis from Data Lab (LOAD Lab) at School of Computing, SIU. Previously, I was working as a Research Assistant Professor in Department of Radiation Oncology, University of Kansas Medical Center (KUMC), Kansas City, Kansas. Also, I was working as a Computational Scientist in the Department of Computer Science, Xavier University of Louisiana (XULA), New Orleans, Louisiana.

My current research interests include Data-centric AI, Large Language Models (LLMs) and Applications, (Interpretable and Trustworthy) Machine Learning, Deep Learning, Big Data Mining, Online Optimization, Outlier/Anomaly/Novelty Detection, Multi-omics Data Integration, Multi-modal Learning, Interpretable Time Series Forecasting, and AI-related Applications. I have published more than 70 peer-reviewed articles in scientific journals and conferences such as PRL, IVC, JMLC, KAIS, TCBB, Computational Intelligence and Neuroscience (CIN), Mathematical Problems in Engineering (MPIE), Mathematics, Frontiers in Oncology, Neurocomputing, BioData Mining, Bioinformatics, Medical Physics, Physica Medica, IEEE Access, ENSO, IoT-J, T-ITS, T-IV, TKDE, MLJ, TMLR, TNNLS, SDM'17'24'25, IEEE BigData'18'22'24, ACM-BCB'20, ICDM'22'25, ECML-PKDD'23'24, CIKM'23, DSAA'23, IJCAI'25, AAAI'23'24'25'26, and NeurIPS'25. I have received the Excellence Reviewer Award of KDD'23, Outstanding Reviewer Award of KDD'25, the IJCAI'2025 Travel Award, and an IIN Seed Grant Award. I have served as a panelist at two NSF panels. I have served as a panelist at two NSF panels. I have been invited to serve as the ad hoc reviewer of international journals including Cancer Research and Treatment (TCRT), Complexity, Information Sciences (INS), Neurocomputing, Cognitive Computation, IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Fuzzy Systems, ACM Transactions on Knowledge Discovery from Data (TKDD), Frontiers in Computational Neuroscience, Frontiers in Endocrinology, Frontiers in Oncology, Medical Physics, Physics in Medicine and Biology, Computers and Electrical Engineering (CEE), IEEE Transactions on Green Communications and Networking (TGCN), IEEE Internet of Things Journal (IoT), IEEE Transactions on Computational Social Systems (TCSS), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Vehicular Technology (TVT), Computers and Electrical Engineering, International Journal of Machine Learning and Cybernetics (JMLC), Artificial Intelligence In Medicine (AIIM), Machine Learning with Applications (MLWA), Expert Systems with Applications (ESWA), Neural Networks, The Journal of Supercomputing, Information Processing and Management (IPM), ACM Transactions on Internet Technology (TOIT), Transactions on Knowledge and Data Engineering (TKDE), Electronics, Journal of Industrial Information Integration (JIII), Engineering Applications of Artificial Intelligence (EAAI), Journal of Advanced Transportation, Computer Applications in Engineering Education (CAEE), Mathematics, and Briefings in Bioinformatics; reviewer and PC member of international conferences such as ICDM'16, SDM'17, ICDM'17, ICDM'18, AAAI'19, CIKM'19, ICDM'19, AAAI'20, ICDM'20, AAAI'21, ICDM'21, AAAI'22, IJCAI'22, ICDM'22, BIBM'22, AAAI'23, PAKDD'23, IJCAI'23, KDD'23, FAccT'23 (PC), SMC'23, AAAI'24 (PC), SDM'24, PAKDD'24, IJCAI'24 (PC), KDD'24, ECML-PKDD'24 (PC), ICPR'24, ECAI'24 (PC), AAAI'25 (PC), ICDM'24 (PC), AAAI-AISI'25 (PC), KDD'25 (PC), ICLR'25, PAKDD'25 (PC), SDM'25, IJCAI'25 (PC), ICME'25, ECML-PKDD'25 (PC), ACML'25, AVSS'25 (Meta-Reviewer/Area Chair), ICDM'25 (PC), CIKM'25 (PC), ECAI'25 (PC), ACM-BCB'25, KDD'26, AAAI-AISI'26 (PC), AAAI'26 (PC), PAKDD'26 (PC), AISTATS'26, ICLR'26, ICASSP'26, WWW'26 (PC), IEEE PES'26, ICPR'26, KSEM'26 (PC), ICME'26, and CVPR'26.

Employment History

What's New

Publications


Summary: 71 Papers (27 first-author; 44 co-author/corresponding author).
  • Conference Papers: NeurIPS(1), NeurIPS-Workshop(5), AAAI(5), IJCAI(1), ICDM(2), SDM(3), ECML-PKDD(3), IEEE BigData(5), CIKM(1), DSAA(1), and ACM-BCB(1).
  • Journal Papers: Pattern Recognition Letters (PRL), Image and Vision Computing (IVC), International Journal of Machine Learning and Cybernetics (JMLC), Knowledge and Information Systems (KAIS), IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Computational Intelligence and Neuroscience (CIN), Mathematical Problems in Engineering (MPIE), Mathematics, Frontiers in Oncology (FIO), Journal of Bioinformatics and Computational Biology (JBCB), Neurocomputing, BioData Mining, Bioinformatics, Medical Physics, European Journal of Medical Physics (Physica Medica), IEEE Access, Environmental Modelling & Software (ENSO), IEEE Internet of Things Journal (IoT-J), IEEE Transactions on Intelligent Transportation Systems (T-ITS), IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Knowledge and Data Engineering (TKDE), Machine Learning (MLJ), Transactions on Machine Learning Research (TMLR), and IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

    • ( * First  Author;  # Collaborative  Author)


      2026

    1. Efficient proton-photon patient selection via dose and NTCP prediction for head-and-neck cancer patients [PDF]
      Jiaxin Li, Yanan Zhu, Li Lyu, Zhong Chen#, Fazal Khan, Wangyao Li, Chao Wang, Gregory N Gan, Christoper Lominska, Qiang Li, Weiqiang Chen, Hao Gao, and Yuting Lin
      The International Journal of Medical Physics Research and Practice (Medical Physics). 

    2. Multi-Modal Foundation Models for Computational Pathology: A Survey [PDF]
      Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen#, Peter Sorger, and Chen Zhao
      Transactions on Machine Learning Research (TMLR). 

    3. MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery [PDF]
      Dong Li, Zhengzhang Chen, Xujiang Zhao, Zhong Chen#, Yi He, Haifeng Chen, and Chen Zhao
      The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Main Track) (AAAI'26). (Acceptance Rate 4,167/23,680=17.60%)

    4. Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract) [PDF]
      Yang Yan, Matthew W. Chen, Jiayi Lyu, Chen Zhao, Hao Gao, and Zhong Chen#
      The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Student Abstract Track) (AAAI'26). 


      5. 2025

    5. 3D Multi-Object Tracking Driven by Multi-Level Association and Intelligent Filtering [PDF]
      Hengyuan Liu, Zhong Chen#, Zhenzhen Du, Hui Li, and Xiaoxue Ai
      IEEE Transactions on Intelligent Transportation Systems (T-ITS). 

    6. Probabilistic Prompts for Zero-shot and Few-shot Large Language Models: An Empirical Study of Patient-reported Outcomes [PDF]
      Matthew W. Chen, Yang Yan, Xinglei Shen, Hao Gao, and Zhong Chen#
      IEEE International Conference on Data Mining (ICDM'25). 

    7. An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomes [PDF]
      Yang Yan, Zhong Chen#, Cai Xu, Xinglei Shen, Jay Shiao, John Einck, Ronald C Chen, and Hao Gao
      IEEE Access, 2025. 

    8. A few-shot U-net learning framework for fast and accurate three-dimensional dose prediction in radiotherapy [PDF]
      Zhong Chen*, Wangyao Li, Xinglei Shen, Ronald Chen, Yuting Lin, and Hao Gao
      European Journal of Medical Physics (Physica Medica), 2025. 

    9. SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search [PDF]
      Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen#, Feng Chen, Chen Zhao, and Haifeng Chen
      The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS'25), San Diego, CA, 2025. (Acceptance Rate 5,290/21,575=24.52%)

    10. 3D Multi-Object Tracking Based on Masked Auto Encoder and Deep Hashing Paradigm [PDF]
      Saiyu Li, Zhong Chen#, Hui Li, Ye Tao, Ying Gao, and Jun Yan
      IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025. 

    11. Explainable Image-Centric Forgery Detection: A Survey [PDF]
      Xinyu Wu, Xiaohui Chen, Xintao Wu, Dong Li, Zhong Chen#, Yi He, and Chen Zhao
      TechRxiv. October 21, 2025. 

    12. Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains [PDF]
      Yumeng Lin, Dong Li, Xintao Wu, Minglai Shao, Xujiang Zhao, Zhong Chen#, and Chen Zhao
      arXiv preprint arXiv:2509.00658, 2025. 

    13. Decoding Ancestry-Specific Genetic Risk: Interpretable Deep Feature Selection Reveals Prostate Cancer SNP Disparities in Diverse Populations [PDF]
      Zhong Chen*, Zichen Lao, You Lu, Wensheng Zhang, Andrea Edwards, and Kun Zhang
      BioData Mining, 2025. 

    14. A Hybrid Ensemble End-to-end Neural Network for Accurate Protein-Protein Interactions Prediction [PDF]
      Jie Yang, Xijie Lan, Guoyin Wang, Zhong Chen#, Yuwen Chen, and Di Wu
      IEEE Transactions on Computational Biology and Bioinformatics (TCBB), 2025. 

    15. A differential evolution optimized hybrid XGBoost for accurate carbon emission prediction [PDF]
      Lingfei Zhang, Gang Lu, Xiaoqing Yan, Peng Xia, Zhong Chen#, and Di Wu
      Environmental Modelling & Software (ENSO), 193, p.106627, 2025. 

    16. Online outlier detection in open feature spaces [PDF]
      Heng Lian, Yi He, Di Wu, Zhong Chen#, Xingquan Zhu, and Xindong Wu
      IEEE Transactions on Knowledge and Data Engineering (TKDE), 37(10), pp. 6091-6106, 2025. 

    17. Interpretable, Adaptive, and Robust Online Machine Learning for Data Streams - An Overview and Update [PDF]
      Zhong Chen*
      The 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'25), 2025. 

    18. Short- and Long-term Weekly Patient-reported Outcomes Prediction Undergoing Radiotherapy: Single-patient Time Series Model vs. Transformers-based Multi-patient Time Series Model [PDF]
      Yang Yan, Zhong Chen#, Xinglei Shen, Ronald C Chen, and Hao Gao
      BioData Mining, 18(1), p.53, 2025. 

    19. An Efficient Federated Learning Framework for Enhancing Data Diversity and Communication in Industrial IoT Fault Diagnosis [PDF]
      Xuehua Sun, Zengsen Yuan, Xiangguang Kong, Liang Xue, Han Cheng, and Zhong Chen#
      IEEE Internet of Things Journal (IoT-J), 12(7), pp. 36562-36576, 2025. 

    20. Advanced Anomaly Detection Framework for Enhancing Prediction of Severe Health Outcomes in Cancer Patients Undergoing Radiotherapy [PDF]
      Yang Yan, Christopher Lominska, Gregory N Gan, Hao Gao, and Zhong Chen#
      IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService'25), pp. 73-80, 2025. 

    21. A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection over Data Streams [PDF]
      Zhong Chen*, Yi He, Di Wu, Chen Zhao, and Meikang Qiu
      Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), pp. 2740-2748, 2025. (Regular Paper, Acceptance Rate 1,023/5,806=17.62%)

    22. Distributed Collaborative Learning with Representative Knowledge Sharing [PDF]
      Joseph Casey, Qianjiao Chen, Mengchen Fan, Baocheng Geng, Roman Shterenberg, Zhong Chen#, and Keren Li
      Mathematics, 13(6): 1004, 2025. 

    23. Measuring Heterogeneity in Machine Learning with Distributed Energy Distance [PDF]
      Mengchen Fan, Baocheng Geng, Roman Shterenberg, Joseph A. Casey, Zhong Chen#, and Keren Li
      arXiv preprint arXiv: 2501.16174, 2025. 

    24. MCCA-MOT: Multimodal collaboration-guided cascade association network for 3D multi-object tracking [PDF]
      Hui Li, Hengyuan Liu, Zhenzhen Du, Zhong Chen#, and Ye Tao
      IEEE Transactions on Intelligent Transportation Systems (T-ITS), 26(1), pp. 974-989, 2025. 

    25. $\ell_{1,\infty}$-Mixed Norm Promoted Row Sparsity for Fast Online CUR Decomposition Learning in Varying Feature Spaces [PDF]
      Zhong Chen*, Yi He, Di Wu, Wenbin Zhang, and Zhiqiang Deng
      Proceedings of the 2025 SIAM International Conference on Data Mining (SDM'25), Alexandria, Virginia, 2025. (Regular Paper, Acceptance Rate 61/228=26.7%)

    26. Metric-Agnostic Continual Learning for Sustainable Group Fairness [PDF]
      Heng Lian, Chen Zhao, Zhong Chen#, Xingquan Zhu, My T. Thai, and Yi He
      The 39th AAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, PA, 2025. (Regular Paper, Acceptance Rate 3,032/12,957=23.4%)

    27. Balancing Cost and Completion Time Through Variable Paths with Variable Bandwidth in HPNs [PDF]
      Liudong Zuo, Zhong Chen#, and Lai Pan
      International Conference on Computing, Networking and Communications (ICNC'25), pp. 113-117, 2025. 


      28. 2024

    28. An Oversampling-enhanced Multi-class Imbalanced Classification Framework for Patient Health Status Prediction Using Patient-reported Outcomes [PDF]
      Yang Yan, Zhong Chen#, Cai Xu, Xinglei Shen, Jay Shiao, John Einck, Ronald C Chen, and Hao Gao
      arXiv preprint arXiv:2411.10819, 2024. 

    29. Accounting for Cancer Patients with Severe Outcomes: An Anomaly Detection Perspective [PDF]
      Yang Yan, Christopher Lominska, Gregory N Gan, Hao Gao, and Zhong Chen#
      IEEE International Conference on Big Data (IEEE BigData'24), pp. 8225-8227, 2024. 

    30. A Dynamic 3D Multi-Object Tracking Method Based on Spatiotemporal Features [PDF]
      Hui Li, Haoran Yang, Xiaoxue Ai, Zhong Chen#, and Yanli Wu
      IEEE Transactions on Intelligent Vehicles (T-IV), 2024. 

    31. Optimal Scheduling Algorithms for Cost-Effective Bandwidth Reservation in HPNs [PDF]
      Liudong Zuo, Lai Pan, and Zhong Chen#
      IEEE International Conference on Big Data (IEEE BigData'24), pp. 483-488, 2024. (Short Paper, Acceptance Rate 130/660=19.7%)

    32. $\ell_{1,2}$-Norm and CUR Decomposition based Sparse Active Online Learning for Data Streams with Streaming Features [PDF]
      Zhong Chen*, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, and Zhiqiang Deng
      IEEE International Conference on Big Data (IEEE BigData'24), pp. 374-383, 2024. (Regular Paper, Acceptance Rate 124/660=18.8%)

    33. An end-to-end knowledge graph fused graph neural network for accurate protein-protein interactions prediction [PDF]
      Jie Yang, Yapeng Li, Guoyin Wang, Zhong Chen#, and Di Wu
      IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 21(6), pp. 2518-2530, 2024. 

    34. Accurate proton-photon patient selection via dose and NTCP prediction for head-and-neck patients [PDF]
      Jiaxin Li, Zhong Chen#, Fazal Khan, Yanan Zhu, Gregory N Gan, Christoper Lominska, Qiang Li, Weiqiang Chen, Hao Gao, and Yuting Lin
      International Journal of Particle Therapy (IJPT), 12, p.100145, 2024. 

    35. Adaptive Sparse Online Learning through Asymmetric Truncated Gradient [PDF]
      Zhong Chen*
      The 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (IEEE BigDataService 2024), pp. 44-51, 2024. (Regular Paper, Accepted)

    36. $\ell_{1,2}$-Norm and CUR Matrix Decomposition based Sparse Active Online Learning for Data Streams with Streaming Features [PDF]
      Zhong Chen*
      The 1st International Conference on Artificial Intelligence & Machine Learning (AIM'24), San Francisco, CA, 2024. (Oral Presentation)

    37. Advancing Graph Counterfactual Fairness through Fair Disentangled Representation [PDF]
      Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen#, Shu-Ching Chen, and Wenbin Zhang
      European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'24), pp. 40-58, 2024. (Regular Paper, Acceptance Rate 198/826=24.0%)

    38. Individual Fairness with Group Awareness under Uncertainty [PDF]
      Zichong Wang, Xiaoyong Yuan, Zhong Chen#, Yanzhao Wu, Xin Yao, and Wenbin Zhang
      European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'24), pp. 89-106, 2024. (Regular Paper, Acceptance Rate 198/826=24.0%)

    39. Robust Sparse Online Learning through Adversarial Sparsity Constraints [PDF]
      Zhong Chen*
      The 9th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2024), pp. 42-47, 2024. (Regular Paper, Accepted)

    40. Robust Sparse Online Learning for Data Streams with Streaming Features [PDF]
      Zhong Chen*, Yi He, Di Wu, Huixin Zhan, Victor Sheng, and Kun Zhang
      Proceedings of the 2024 SIAM International Conference on Data Mining (SDM'24), Houston, United States, pp. 181-189, 2024. (Regular Paper, Acceptance Rate 98/416=23.6%)

    41. MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End 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, 38(9), pp. 10216-10224, 2024. (Regular Paper, Acceptance Rate 2342/9862=23.75%)

    42. Defense Against Adversarial Attacks for Neural Representations of Text [PDF]
      Huixin Zhan, Kun Zhang, Zhong Chen#, and Victor Sheng
      Hawaii International Conference on System Sciences 2024 (HICSS'24), pp. 7592-7601, 2024. 

    43. Cost-sensitive Sparse Group Online Learning for Imbalanced Data Streams [PDF]
      Zhong Chen*, Victor Sheng, Andrea Edwards, and Kun Zhang
      Machine Learning (MLJ), 113, pp. 4407-4444, 2024. 


      44. 2023

    44. 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%)

    45. 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%)

    46. 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%)

    47. 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. 

    48. Online Semi-supervised Learning with Mix-Typed Streaming Features [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%)

    49. 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. 


      50. 2022

    50. 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%)

    51. 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%)

    52. 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. 

    53. 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. 


      54. 2021

    54. 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. 

    55. 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)

    56. 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. 

    57. 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. 

    58. 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. 


      59. 2020

    59. 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%)

    60. 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. 


      61. 2019

    61. 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. 


      62. 2018

    62. 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%)


      63. 2017

    63. 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%)


      64. 2016

    64. 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. 


      65. 2015

    65. 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. 

    66. 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. 

    67. 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. 

    68. 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. 


      69. 2014

    69. 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. 

    70. 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. 


      71. 2013

    71. 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. 

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