Faculty

Institution

Unit

Venue

Shaofeng Zou

Associate Professor tenure-track assistant professor

University at Buffalo

Affiliations

School of Engineering and Applied Sciences

Department of Electrical Engineering

Shaofeng Zou is currently serving as an Electrical Engineering Associate Professor tenure-track assistant professor at University At Buffalo.

Honors

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Experiences

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Education

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Shaofeng Zou

University at Buffalo

Associate Professor tenure-track assistant professor

You can click a keyword to filter the displayed items

machine learning computer science data science applied mathematics statistics signal processing statistical inference anomaly detection change detection network analysis statistical methodology stochastic process network science machine learning research computational statistics mathematical optimization information theory applied probability probability theory communication security kernel methods quickest detection networked system design shift detection estimation theory network monitoring network analytics finite-sample analysis computational intelligence distributed systems wireless communications statistical learning theory density estimation dynamic networks outlier detection linear function approximation nonparametric detection significant events sequence detection global networks information fusion statistical signal processing mathematical statistics unsupervised machine learning model compression large-scale network dc microgrids generalization error kl divergence alphabet size k qcd problem population risk finite-time analysis numerical algorithms knowledge discovery system safety scientific data scientific computing supervised learning computational learning theory stochastic optimization temporal pattern recognition network dynamics sequential algorithm network theory online learning pattern discovery sensor signal processing network algorithms fault detection distributed model distributed coordination mutual information learning algorithm sequential change detection optimal minimax rate systems engineering intelligent computing reinforcement learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process. Operations Research Letters (2024)

Tianjiao LiZiwei GuanShaofeng ZouTengyu XuYingbin LiangGuanghui Lan

markov decision processsharper analysismachine learningmathematical optimizationdata scienceapplied mathematicscomputer scienceoperations research

Finite-Time Error Bounds for Greedy-Gq. Machine Learning (2024)

Yue WangYi ZhouShaofeng Zou

machine learningfinite-time error boundsdata science

Quickest Change Detection in Autoregressive Models. IEEE Transactions on Information Theory (2024)

Zhongchang SunShaofeng Zou

quickest change detectionsystems engineeringmachine learningautoregressive modelsinformation theorychange detectioncomputer science

Robust Average-Reward Reinforcement Learning. Journal of Artificial Intelligence Research (2024)

Yue WangAlvaro VelasquezGeorge AtiaAshley Prater-BennetteShaofeng Zou

machine intelligenceartificial intelligencereinforcement learningmachine learningcomputer science

Robust Multi-Hypothesis Testing With Moment-Constrained Uncertainty Sets. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Akshayaa MageshZhongchang SunVenugopal V. VeeravalliShaofeng Zou

uncertainty analysisuncertainty quantificationmathematical optimizationrobust statisticsstatistical inferencerobust multi-hypothesis testingstatisticsstatistical methodologyapplied mathematicsstatistical hypothesis test

Understanding Information Disclosure From Secure Computation Output: A Comprehensive Study of Average Salary Computation. ACM Transactions on Privacy and Security (2024)

Alessandro BaccariniMarina BlantonShaofeng Zou

technologydata sciencesecured transactionsconfidential computingprivacy managementdata privacycommunication securityinformation security managementinformation disclosureaverage salary computationdata managementcomprehensive studyinformation managementdata securitycryptographycomputer securityinformation technologysecure computation outputinformation securitycomputer sciencesecure multi-party computation

A Probabilistic Approach to Series Arc Fault Detection and Identification in DC Microgrids. IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2023)

Kaushik GajulaVu LeXiu YaoShaofeng ZouLuis Herrera

electronic engineeringprobabilistic verificationindustrial electronicspower electronicsmicroelectronicselectrical engineeringapplied physicscondition monitoringdc microgridsengineering

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in Amod Systems. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)

Sihong HeYue WangShuo HanShaofeng ZouFei Miao

systems engineeringamod systemselectrical engineeringreinforcement learning

Data-Driven Quickest Change Detection in Hidden Markov Models. (2023)

Qi ZhangZhongchang SunLuis C. HerreraShaofeng Zou

public healthchange detectiondata miningdata sciencehealth sciences

Kernel Robust Hypothesis Testing. IEEE Transactions on Information Theory (2023)

Zhongchang SunShaofeng Zou

systems engineeringinformation sciencekernel methodsinformation theoryinformation technologydata scienceinformation securitycomputer science

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Shaofeng Zou

Associate Professor tenure-track assistant professor

University at Buffalo

Affiliations

School of Engineering and Applied Sciences

Department of Electrical Engineering

Shaofeng Zou is currently serving as an Electrical Engineering Associate Professor tenure-track assistant professor at University At Buffalo.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Shaofeng Zou

University at Buffalo

Associate Professor tenure-track assistant professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process. Operations Research Letters (2024)

Tianjiao LiZiwei GuanShaofeng ZouTengyu XuYingbin LiangGuanghui Lan

markov decision processsharper analysismachine learningmathematical optimizationdata scienceapplied mathematicscomputer scienceoperations research

Finite-Time Error Bounds for Greedy-Gq. Machine Learning (2024)

Yue WangYi ZhouShaofeng Zou

machine learningfinite-time error boundsdata science

Quickest Change Detection in Autoregressive Models. IEEE Transactions on Information Theory (2024)

Zhongchang SunShaofeng Zou

quickest change detectionsystems engineeringmachine learningautoregressive modelsinformation theorychange detectioncomputer science

Robust Average-Reward Reinforcement Learning. Journal of Artificial Intelligence Research (2024)

Yue WangAlvaro VelasquezGeorge AtiaAshley Prater-BennetteShaofeng Zou

machine intelligenceartificial intelligencereinforcement learningmachine learningcomputer science

Robust Multi-Hypothesis Testing With Moment-Constrained Uncertainty Sets. 2022 IEEE International Symposium on Information Theory (ISIT) (2024)

Akshayaa MageshZhongchang SunVenugopal V. VeeravalliShaofeng Zou

Understanding Information Disclosure From Secure Computation Output: A Comprehensive Study of Average Salary Computation. ACM Transactions on Privacy and Security (2024)

Alessandro BaccariniMarina BlantonShaofeng Zou

A Probabilistic Approach to Series Arc Fault Detection and Identification in DC Microgrids. IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2023)

Kaushik GajulaVu LeXiu YaoShaofeng ZouLuis Herrera

electronic engineeringprobabilistic verificationindustrial electronicspower electronicsmicroelectronicselectrical engineeringapplied physicscondition monitoringdc microgridsengineering

Sihong HeYue WangShuo HanShaofeng ZouFei Miao

systems engineeringamod systemselectrical engineeringreinforcement learning

Data-Driven Quickest Change Detection in Hidden Markov Models. (2023)

Qi ZhangZhongchang SunLuis C. HerreraShaofeng Zou

public healthchange detectiondata miningdata sciencehealth sciences

Kernel Robust Hypothesis Testing. IEEE Transactions on Information Theory (2023)

Zhongchang SunShaofeng Zou

systems engineeringinformation sciencekernel methodsinformation theoryinformation technologydata scienceinformation securitycomputer science

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University of Virginia

wireless networks

signal processing

Ali Tajer

Institution

Rensselaer Polytechnic Institute

signal processing

statistical pattern recognition

Yasin Yilmaz

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University of South Florida

engineering

industrial automation

Yingbin Liang

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large-scale optimization

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computational thinking

Inderjit Dhillon

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University of Texas at Austin

big data

numerical linear algebra

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stochastic process

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inventing communication algorithms

principle understanding

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information technology

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