Faculty

Institution

Unit

Venue

Ren Wang

Assistant Professor of Electrical and Computer Engineering

Illinois Institute of Technology

Affiliations

Armour College of Engineering

Electrical and Computer Engineering

Ren Wang is currently serving as an Armour College Of Engineering Assistant Professor of Electrical and Computer Engineering at Illinois Institute of Technology.

Honors

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Experiences

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Education

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Ren Wang

Illinois Institute of Technology

Assistant Professor of Electrical and Computer Engineering

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deep learning computer science machine learning adversarial machine learning data science information security data security electrical engineering artificial intelligence signal processing neural network (machine learning) data privacy machine learning research data recovery low-rank approximation applied mathematics numerical linear algebra electrical grids mathematical optimization information fusion knowledge discovery compressive sensing attack model low-rank matrix recovery neural networks information forensics convex analysis computational statistics smart grid information technology computational intelligence microwave technology computational imaging medical image computing biomedical informatics hardware trojan power generation sparse representations smart grid security power system analysis artificial immune system privacy service privacy protection privacy system fragmentation effect matrix factorization few-shot learning meta-learning (computer science) threat detection multi-user detection attack graph optimization-based data mining supervised learning trustworthy computing trustworthy ai disease detection convolutional neural networks relationship extraction entity summarization symbolic machine learning sequence analysis entity disambiguation practical detection convergence guarantee coordinated economic dispatch matrix recovery subspace clustering data accuracy critical point achieve data privacy stochastic power grids physics-constrained adversarial training grid-connected wind farm wake effect pmsg type high penetration intelligent computing machine intelligence learning classifier system

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Heterogeneous Entity Representation for Medicinal Synergy Prediction. Bioinformatics (2025)

Jiawei WuJun WenMingyuan YanAnqi DongShuai GaoRen WangCan Chen

relationship extractionbioinformaticspharmacologyknowledge discoverybiomedical informaticssystems biologyinformation fusionmedicinal synergy predictionentity summarizationdrug discoverysymbolic machine learningcomputational biologymedicinal researchmachine learning researchmachine learningsequence analysismolecular biologyheterogeneous entity representationdeep learningentity disambiguation

A Comprehensive Analysis of Pinns for Power System Transient Stability. Electronics (2024)

Ignacio de Cominges GuerraWenting LiRen Wang

comprehensive analysis

Backdoor Secrets Unveiled: Identifying Backdoor Data With Optimized Scaled Prediction Consistency. arXiv (Cornell University) (2024)

Pal, SoumyadeepYao, YuguangWang, RenShen, BingquanLiu, Sijia

computer securitycryptographydata securityprediction consistencymachine learningadversarial machine learningdata scienceoptimization-based data mininginformation securityknowledge discoverydeep learningbackdoor secrets

Deep Adversarial Defense Against Multilevel $-\Ell_{P}$ Attacks. (2024)

Ren WangYuxuan LiAlfred Hero

deep adversarial defensecomputer securitythreat detectionmulti-user detectiondata securitycomputer scienceattack modelmachine learningadversarial machine learningattack graphinformation securitydeep learning

Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. Lecture notes in computer science (2023)

Hanxiao LuZeyu HuangRen Wang

machine learning researchmedical image computinghealthcare model trustworthinesstrustworthy computingcomputer sciencemachine learningadversarial machine learningdata scienceone-hidden-layer cnn purificationtrustworthy aidisease detectionimage analysisconvolutional neural networksdeep learningneural network (machine learning)

Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Ren WangYuxuan LiSijia Liu

neural networksdiversified adversarial robustnesscomputer scienceadversarial machine learningmachine learningrobust mode connectivitydeep learning

Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Transactions on Artificial Intelligence (2023)

Wenting LiDeepjyoti DekaRen WangMario R. Arrieta Paternina

computational intelligenceneural networksstochastic power gridscomputer sciencemachine learningadversarial machine learningartificial intelligencephysicselectrical engineeringdeep learningphysics-constrained adversarial training

Physics-Constrained Backdoor Attacks on Power System Fault Localization. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2023)

Jianing BaiRen WangZuyi Li

computer securityphysics-constrained backdoor attacksinformation securityelectrical engineeringdeep learning

Towards Understanding How Self-Training Tolerates Data Backdoor Poisoning. arXiv (Cornell University) (2023)

Pal, SoumyadeepWang, RenYao, YuguangLiu, Sijia

computer securitydata securitymachine learningadversarial machine learningcybersecurity educationbehavioral sciencesinformation securityartificial intelligencedata safetydeep learning

ASK: Adversarial Soft K-Nearest Neighbor Attack and Defense. IEEE Access (2022)

Ren WangTianqi ChenPhilip YaoSijia LiuIndika RajapakseAlfred O. Hero

computer securitycomputer sciencemachine learningadversarial machine learninginformation securityinformation technologydeep learning

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Ren Wang

Assistant Professor of Electrical and Computer Engineering

Illinois Institute of Technology

Affiliations

Armour College of Engineering

Electrical and Computer Engineering

Ren Wang is currently serving as an Armour College Of Engineering Assistant Professor of Electrical and Computer Engineering at Illinois Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ren Wang

Illinois Institute of Technology

Assistant Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Heterogeneous Entity Representation for Medicinal Synergy Prediction. Bioinformatics (2025)

Jiawei WuJun WenMingyuan YanAnqi DongShuai GaoRen WangCan Chen

A Comprehensive Analysis of Pinns for Power System Transient Stability. Electronics (2024)

Ignacio de Cominges GuerraWenting LiRen Wang

comprehensive analysis

Backdoor Secrets Unveiled: Identifying Backdoor Data With Optimized Scaled Prediction Consistency. arXiv (Cornell University) (2024)

Pal, SoumyadeepYao, YuguangWang, RenShen, BingquanLiu, Sijia

Deep Adversarial Defense Against Multilevel $-\Ell_{P}$ Attacks. (2024)

Ren WangYuxuan LiAlfred Hero

Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. Lecture notes in computer science (2023)

Hanxiao LuZeyu HuangRen Wang

Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Ren WangYuxuan LiSijia Liu

neural networksdiversified adversarial robustnesscomputer scienceadversarial machine learningmachine learningrobust mode connectivitydeep learning

Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Transactions on Artificial Intelligence (2023)

Wenting LiDeepjyoti DekaRen WangMario R. Arrieta Paternina

Physics-Constrained Backdoor Attacks on Power System Fault Localization. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2023)

Jianing BaiRen WangZuyi Li

computer securityphysics-constrained backdoor attacksinformation securityelectrical engineeringdeep learning

Towards Understanding How Self-Training Tolerates Data Backdoor Poisoning. arXiv (Cornell University) (2023)

Pal, SoumyadeepWang, RenYao, YuguangLiu, Sijia

computer securitydata securitymachine learningadversarial machine learningcybersecurity educationbehavioral sciencesinformation securityartificial intelligencedata safetydeep learning

ASK: Adversarial Soft K-Nearest Neighbor Attack and Defense. IEEE Access (2022)

Ren WangTianqi ChenPhilip YaoSijia LiuIndika RajapakseAlfred O. Hero

computer securitycomputer sciencemachine learningadversarial machine learninginformation securityinformation technologydeep learning

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