Xun Shen

Specially Appointed Assistant Professor

Tokyo Institute of Technology

Japan

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About

Xun Shen is a Specially Appointed Assistant Professor at the Tokyo Institute of Technology in Japan. His research areas focus on control theory, probabilistic bounds on uncertain systems, and data-driven decision-making. Recent publications include studies on dynamical network biomarkers, online clustering methods, and intelligent driver assistance systems. He is engaged in advancing methodologies in security-constrained unit commitment and gene network stabilization.

Articles (11)

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2025

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (3)

Makito Oku

University of Toyama

JAPAN

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Xingguo Zhang

Tokyo University of Agriculture and Technology

JAPAN

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Tinghui Ouyang

Assistant Professor

University of Tsukuba

JAPAN

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Xun Shen

Research Interests

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About

Articles (11)

Integration of Dynamical Network Biomarkers, Control Theory and <i>Drosophila</i> Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome

Computing Probabilistic Bounds on State Trajectories for Uncertain Systems

Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs

Extension of DBSCAN in Online Clustering: An Approach Based on Three-Layer Granular Models

A Comprehensive Review of Security-constrained Unit Commitment

Deep learning-based SCUC decision-making: An intelligent data-driven approach with self-learning capabilities

Effectiveness of a Driver Assistance System With Deceleration Control and Brake Hold Functions in Stop Sign Intersection Scenarios

Hybrid automaton-based disturbance-aware predictive control with receding horizon optimization for three-phase full-bridge inverters

Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System

Low-Sample-Size Data-Driven Re-stabilization of Gene Network Systems

Mixture Density Networks-Based Knock Simulator

Collaborators (3)

Makito Oku

Xingguo Zhang

Tinghui Ouyang

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