Zhong 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://www2.cs.siu.edu/~zchen/
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, Carbondale, IL 62901, United States. 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 (KC), KS 66160, United States. Also, I was working as a Computational Scientist in the Department of Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, United States.

My primary research interests are in the fields of medical physics, big data mining, machine learning, deep learning, and bioinformatics. My research focuses on the development, analysis, implementation, and experimental evaluation of big streaming data mining algorithms, machine learning and deep learning techniques, and applications in healthcare and medical physics. I am an Associate Editor at the Editorial Board of Medical Physics and an Editorial Member of Computational Biology and Bioinformatics. I am a Review Editor on the Editorial Board of Frontiers in Neurorobotics and Frontiers in Big Data and I have served as one of Program Committees at the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'23), 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT'23), the 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24), the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'24), the Second IEEE International Conference on Medical Artificial Intelligence (MedAI'24), the 9th IEEE International Conference on Smart Cloud (IEEE SmartCloud'24), the 10th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity'24), the 17th International Conference on Knowledge Science, Engineering and Management (KSEM'24), the 27th European Conference on Artificial Intelligence (ECAI'24), the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), and IEEE International Conference on Data Mining (ICDM'24), AAAI 2025 Artificial Intelligence for Social Impact Track (AAAI-AISI'25), and the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25). In addition, I have been invited to serve as the ad hoc reviewer of international journals including Technology in 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, 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), Expert Systems with Applications (ESWA), and Briefings in Bioinformatics; and international conferences such as ICDM'16, SDM'17, ICDM'17, ICDM'18, AIKE'18, ICAIS'19, 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, SMC'23, AAAI'24, SDM'24, PAKDD'24, IJCAI'24, KDD'24, ECML PKDD'24, IEEE SmartCloud'24, BigDataSecurity'24, KSEM'24, ICPR'24, ECAI'24, AAAI'25, ICDM'24, AAAI-AISI'25, and KDD'25.

My co-authors include Prof. Kun Zhang (XULA), Prof. Victor Sheng (TTU), Prof. Zhide Fang (LSUHSC), Prof. Yi He (ODU), Prof. Wenbin Zhang (FIU), Prof. Di Wu (SWU), Dr. Huixin Zhan (TTU), Prof. Hongwen Deng (TU), Prof. Chindo Hicks (LSUHSC), Prof. Yongsheng Gao (GU), Prof. Zhixiang Fang (WU), Prof. Qin Zou (WU), and etc.

Employment History

08/2023--Current, Southern Illinois University, School of Computing. Position Title: Tenure-track Assistant Professor (AP).
05/2023--08/2023, University of Kansas Medical Center, Department of Radiation Oncology. Position Title: Research Assistant Professor (RAP).
04/2016--04/2023, Xavier University of Louisiana, Department of Computer Science, Bioinformatics Core of Xavier RCMI Center for Cancer Research. Position Title: Computational Scientist.

Recruitment Advertisement

There are multiple graduate research assistant openings (for prospective Ph.D. candidates only) in my group. Please contact me directly and send your CV and Transcripts to me (Email: zhong.chen AT cs DOT siu DOT edu) if you are interested in any one of my research areas. You can also apply for the M.S./Ph.D. degrees in Computer Science online at the following links: SIU Master and PhD Programs (Computer Science) and SIU Graduate Program in Computer Science. The recruiting advertisements were also posted on different social media platforms at the following links: link1, link2, link3. Southern Illinois University (SIU) is a national public university in the United States, and classified as a R2 institution, i.e., doctoral university with high research activity, by the Carnegie Classification of Institutions of Higher Education.

What's New

June 2024: One paper was accepted by IEEE BigDataService 2024.
May 2024: Two papers were accepted by ECML-PKDD 2024.
April 2024: One paper was accepted by IEEE SmartCloud 2024.
......

Publications

( * First Author; # Collaborative Author)

2024

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), 2024. (Regular Paper, Accepted)
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), Vilnius, 2024. (Regular Paper, Accepted)
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), Vilnius, 2024. (Regular Paper, Accepted)
Robust Sparse Online Learning through Adversarial Sparsity Constraints [PDF]
Zhong Chen*
The 9th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2024), New York City, United States, 2024. (Regular Paper, Accepted)
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, Accepted)
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%, Accepted)
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. (Accepted)

2023

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.

2022

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.

2021

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.

2020

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.

2019

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.

2018

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%)

2017

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%)

2016

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.

2015

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.

2014

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.

2013

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.

Projects

The U.S. Army Research Office, Basic and Applied Scientific Research (No. W911NF-15-1-0510) (A Mathematical and Computational Framework for Mining Data Streams) (Main Participant during Postdoctoral).
The National Institutes of Health (NIH) Grants and Funding (Parent Project Number: 2U54MD007595-11, Sub-Project ID: 5958) (A Data-driven Pan-cancer Study of Biological Bases of Cancer Health Disparities) (Main Participant during Postdoctoral).
The U.S. Army Research Office, Basic and Applied Scientific Research (No. W911NF-20-1-0249) (Event Detection for Streaming Analytics: An Intelligent Mathematical Paradigm) (Main Participant during Postdoctoral).
The National Institutes of Health (NIH) Grants and Funding. Simultaneous dose and dose rate optimization for clinical FLASH proton radiotherapy, NIH R01CA261964. (Main Participant during RAP).

Academic Activities

Participate the SIAM International Conference on Data Mining (SDM'17), Houston (United States), Apr. 27-29, 2017, and give an oral presentation: CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning.
Assist the conference program organization and brochure design of 2017 IEEE International Conference on Data Mining (ICDM'17), New Orleans (United States), Nov. 18-21, 2017.
Participate the IEEE International Conference on Big Data (BigData'18), Seattle (United States), Dec. 10-13, 2018, and give an oral presentation: Online Density Estimation over Streaming Data: A Local Adaptive Solution.
Participate the 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB'20), Virtual, Sep. 21-24, 2020, and give an oral presentation: Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction.
Participate the 12th IEEE International Conference on Big Knowledge (ICBK'21), Virtual, Dec. 7-8, 2021, and give an oral presentation: CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data.
Participate the 22nd IEEE International Conference on Data Mining (ICDM'22), Orlando (United States), Nov 28 - Dec. 1, 2022, and give an oral presentation: Projection Dual Averaging based Second-order Online Learning.
Participate the 2022 IEEE International Conference on Big Data (IEEE Big Data'22), Osaka (Japan), Dec. 17-20, 2022, and give an oral presentation: Proximal Cost-sensitive Sparse Group Online Learning.
Participate the 2023 Southeast Symposium on Contemporary Engineering Topics (SSCET) and Arkansas Engineering Forum (AEF) at the University of Arkansas at Little Rock (UALR), Dec. 14-15, 2023, and give an invited talk: Effective Online Learning Techniques for Mining Imbalanced Data Streams.
Participate the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver (Canada), February 20-27, and give a poster presentation and discussion: An End-to-End Multi-Channel Knowledge Graph Neural Network for Accurate Drug-Drug Interaction Prediction.
Participate the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver (Canada), February 20-27, and serve as a session chair for AAAI 2024: Constraint Satisfaction and Optimization – Friday February 23, 11:15 AM – 12:30 PM, 2024.
Participate the SIAM International Conference on Data Mining (SDM 2024), Houston (United States), April 18-20, 2024, and give an oral presentation: Robust Sparse Online Learning for Data Streams with Streaming Features.
Participate the SIAM International Conference on Data Mining (SDM 2024), Houston (United States), April 18-20, 2024, and served as a session chair for SDM 2024: Spatial Temporal Data I – Friday April 19, 3:15 PM – 5:15 PM, 2024.
Participate the International Conference on Artificial Intelligence and Machine Learning (AIM-2024) at San Francisco (United States), June 10-12, 2024, and give an invited talk: Online Machine Learning for Mining Data Streams.

Awards

Excellence Reviewer Award of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Aug. 2023.

Review Experience

Technology in Cancer Research and Treatment.
Complexity.
Information Sciences.
Neurocomputing.
Cognitive Computation.
IEEE Transactions on Medical Imaging.
ACM Transactions on Knowledge Discovery from Data.
Frontiers in Computational Neuroscience.
Frontiers in Endocrinology.
Frontiers in Oncology.
Medical Physics.
IEEE Transactions on Computational Social Systems.
IEEE Transactions on Green Communications and Networking.
IEEE Internet of Things.
Briefings in Bioinformatics.
IEEE Transactions on Computational Social Systems.
IEEE Transactions on Neural Networks and Learning Systems.
IEEE Transactions on Vehicular Technology.
Computers and Electrical Engineering.
International Journal of Machine Learning and Cybernetics.
Expert Systems with Applications.
The IEEE International Conference on Data Mining (ICDM 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2024).
The SIAM International Conference on Data Mining (SDM 2017, 2024).
The IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2018).
The International Conference on Artificial Intelligence and Security (ICAIS 2019).
The AAAI Conference on Artificial Intelligence (AAAI 2019, 2020, 2021, 2022, 2023, 2024, 2025).
The ACM Conference on Information and Knowledge Management (CIKM 2019).
The International Joint Conference on Artificial Intelligence (IJCAI 2022, 2023, 2024).
The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2022).
The Pacific Asia Conference of Knowledge Discovery and Data Mining (PAKDD 2023, 2024).
The ACM SIGKDD Conference of Knowledge Discovery and Data Mining (KDD 2023, 2024, 2025).
The IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023).
The ACM Conference on Fairness, Accountability, and Transparency (FAccT 2023).
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024).
The Second IEEE International Conference on Medical Artificial Intelligence (MedAI 2024).
The 9th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2024).
The 10th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2024).
The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024).
The 27th International Conference on Pattern Recognition (ICPR 2024).
The 27th European Conference on Artificial Intelligence (ECAI 2024).
The AAAI 2025 Artificial Intelligence for Social Impact Track (AAAI-AISI 2025).

Program Committees Membership

The 27th Pacific Asia Conference of Knowledge Discovery and Data Mining (PAKDD 2023).
The ACM Conference on Fairness, Accountability, and Transparency (FAccT 2023).
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024).
The SIAM International Conference on Data Mining (SDM 2024).
The 28th Pacific Asia Conference of Knowledge Discovery and Data Mining (PAKDD 2024).
The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024).
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024).
The Second IEEE International Conference on Medical Artificial Intelligence (MedAI 2024).
The 9th IEEE International Conference on Smart Cloud (IEEE SmartCloud 2024).
The 10th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2024).
The 17th International Conference on Knowledge Science, Engineering and Management (KSEM 2024).
The 27th European Conference on Artificial Intelligence (ECAI 2024).
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025).
The IEEE International Conference on Data Mining (ICDM 2024).
The AAAI 2025 Artificial Intelligence for Social Impact Track (AAAI-AISI 2025).
The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025).

Review Editor

Frontiers in Neurorobotics.
Frontiers in Big Data.

Associate Editor

Medical Physics.

Editorial Member

Computational Biology and Bioinformatics.

Workshop Proposal Co-authors & Tentative Program Committee

"IEEE International Workshop on Incomplete Streaming Data Analysis (ISDA 2023) " on IEEE ICDM 2023, December 1st (half-day), Shanghai, China. Welcome to submit via link .

Teaching in Computer Science at SIU

Fall 2023: CS435 Software Engineering.
Spring 2024: CS434/CS591 Learning from Data.
Fall 2024: CS435 Software Engineering.
Fall 2024: CS330/CS491 Introduction to the Design and Analysis of Algorithms.

External Links

Statistics

Updated September 2024

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