Zhe Wu

发表

Run-to-Run Control of Thermal Atomic Layer Deposition

Panagiotis D. Christofides, Yichi Zhang, Yangyao Ding, 2020, 2020 28th Mediterranean Conference on Control and Automation (MED).

Cyber-attack detection and resilient operation of nonlinear processes under economic model predictive control

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020, Comput. Chem. Eng..

Decentralized machine-learning-based predictive control of nonlinear processes

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020 .

A cyber‐secure control‐detector architecture for nonlinear processes

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020, AIChE Journal.

CSPAN: cost-effective geo-replicated storage spanning multiple cloud services

Ethan Katz-Bassett, Harsha V. Madhyastha, Zhe Wu, 2013, SIGCOMM.

Shallow Neural Network Based Vision Mobile Robot Control

Zhe Wu, Qingyang Xu, Yiqin Yang, 2019 .

Computational Fluid Dynamics Modeling and Control of Phthalic Anhydride Synthesis in a Fixed-Bed Catalytic Reactor

Panagiotis D. Christofides, Zhe Wu, Yi Ming Ren, 2019, 2019 American Control Conference (ACC).

Improving Diabetes Conventional Therapy via Machine Learning Modeling

Panagiotis D. Christofides, Claudio Cobelli, Zhe Wu, 2019, 2019 American Control Conference (ACC).

SPANStore: cost-effective geo-replicated storage spanning multiple cloud services

Ethan Katz-Bassett, Harsha V. Madhyastha, Zhe Wu, 2013, SOSP.

Optimizing process economics and operational safety via economic MPC using barrier functions and recurrent neural network models

Panagiotis D. Christofides, Zhe Wu, P. Christofides, 2019 .

A New Method of Two-stage Planetary Gearbox Fault Detection Based on Multi-Sensor Information Fusion

Lifeng Cheng, Zhe Wu, Shengyue Tan, 2019 .

High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors

Jingjing Lu, Hu Han, Lei Wang, 2020, IEEE Transactions on Medical Imaging.

Machine learning‐based predictive control of nonlinear processes. Part I: Theory

Panagiotis D. Christofides, Zhe Wu, Anh Tran, 2019, AIChE Journal.

Operational trend prediction and classification for chemical processes: A novel convolutional neural network method based on symbolic hierarchical clustering

Panagiotis D. Christofides, Yongjian Wang, Hongguang Li, 2020 .

Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially Varying Isotropic Materials

Boxin Shi, Ping Tan, Min Li, 2020, IEEE Transactions on Image Processing.

Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes

Panagiotis D. Christofides, Zhe Wu, David Rincon, 2020, Industrial & Engineering Chemistry Research.

VideoSSL: Semi-Supervised Learning for Video Classification pdf

Hongcheng Wang, Longlong Jing, Zhe Wu, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Heuristic Q-learning based on experience replay for three-dimensional path planning of the unmanned aerial vehicle

Yunpeng Ma, Zhe Wu, Yaoming Zhou, 2019, Science progress.

Machine Learning-Based Distributed Model Predictive Control of Nonlinear Processes

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020 .

Incorporating Structural Process Knowledge in Recurrent Neural Network Modeling of Nonlinear Processes

Panagiotis D. Christofides, Zhe Wu, David Rincon, 2020, 2020 American Control Conference (ACC).

Control Lyapunov-Barrier Function-Based Predictive Control of Nonlinear Systems Using Machine Learning Models

Panagiotis D. Christofides, Zhe Wu, P. Christofides, 2020, 2020 American Control Conference (ACC).

Cyber-security of centralized, decentralized, and distributed control-detector architectures for nonlinear processes

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2021 .

Real-Time Optimization and Control of Nonlinear Processes Using Machine Learning

Panagiotis D. Christofides, Zhe Wu, Zhihao Zhang, 2019, Mathematics.

PSENet: Psoriasis Severity Evaluation Network

Yong Wang, Xian Wu, Xiang Chen, 2020, AAAI.

Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation

Panagiotis D. Christofides, Zhe Wu, Anh Tran, 2019, AIChE Journal.

Control Lyapunov-Barrier function-based model predictive control of nonlinear systems

Fahad Albalawi, Helen Durand, Panagiotis D. Christofides, 2019, Autom..

Label Decoupling Framework for Salient Object Detection

Qingming Huang, Qi Tian, Shuhui Wang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recognition of the major scattering sources on complex targets based on the high frequency radar cross section integrated calculation technique

Zhe Wu, Jun Huang, Min-jie Huang, 2009 .

Weakly-Supervised Crowd Counting Learns from Sorting Rather Than Locations

Nicu Sebe, Li Su, Qingming Huang, 2020, ECCV.

Machine learning‐based distributed model predictive control of nonlinear processes

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020, AIChE Journal.

Stacked Cross Refinement Network for Edge-Aware Salient Object Detection

Qingming Huang, Zhe Wu, Li Su, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

On Impact of Unsafe Set Structure in Control Lyapunov-Barrier Function-Based Model Predictive Control

Panagiotis D. Christofides, Zhe Wu, P. Christofides, 2019, 2019 American Control Conference (ACC).

Recognizing Instagram Filtered Images with Feature De-stylization

Larry S. Davis, Bharat Singh, Zhe Wu, 2020, AAAI.

Control Lyapunov-Barrier function-based predictive control of nonlinear processes using machine learning modeling

Panagiotis D. Christofides, Zhe Wu, P. Christofides, 2020, Comput. Chem. Eng..

Reverse Perspective Network for Perspective-Aware Object Counting

Nicu Sebe, Li Su, Qingming Huang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Post cyber-attack state reconstruction for nonlinear processes using machine learning

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020 .

The Semantic Web

Huajun Chen, Zhaohui Wu, Ian Horrocks, 2011, Lecture Notes in Computer Science.

Robust detection of intermittent sensor faults in stochastic LTV systems

Donghua Zhou, Panagiotis D. Christofides, Junfeng Zhang, 2020, Neurocomputing.

Machine learning modeling and predictive control of nonlinear processes using noisy data

Panagiotis D. Christofides, Zhe Wu, Junwei Luo, 2020, AIChE Journal.

Machine Learning-Based Model Predictive Control of Distributed Chemical Processes

Panagiotis D. Christofides, Zhe Wu, Yi Ming Ren, 2019, IFAC-PapersOnLine.

Real-time machine learning for operational safety of nonlinear processes via barrier-function based predictive control

Panagiotis D. Christofides, Zhe Wu, David Rincon, 2020 .

Integrating Safeness Index-Based Model Predictive Control and Safety Relief Valve Activation for Operational Safety of Chemical Processes

Panagiotis D. Christofides, Zhe Wu, Zhihao Zhang, 2019, 2019 American Control Conference (ACC).

Machine Learning-Based Cyber-attack Detection and Resilient Operation via Economic Model Predictive Control for Nonlinear Processes

Panagiotis D. Christofides, Zhe Wu, Scarlett Chen, 2020, 2020 28th Mediterranean Conference on Control and Automation (MED).

Process Operational Safety and Cybersecurity

Panagiotis D. Christofides, Zhe Wu, P. Christofides, 2021, Advances in Industrial Control.

Improving Machine Learning Modeling of Nonlinear Processes Under Noisy Data Via Co-teaching Method

Panagiotis D. Christofides, Zhe Wu, David Rincón, 2021, 2021 American Control Conference (ACC).

Integration of Safety Systems with Control Systems