Real-time scenario-based stochastic optimal energy management strategy for HEVs. - Xun Shen; Jiangyan Zhang; Tielong Shen (ECC, 2016)

Logical control scheme with real-time statistical learning for residual gas fraction in IC engines. - Xun Shen; Yuhu Wu; Tielong Shen (Sci. China Inf. Sci., 2018)

A survey on online learning and optimization for spark advance control of SI engines. - Yahui Zhang; Xun Shen; Tielong Shen (Sci. China Inf. Sci., 2018)

Approximate Uncertain Program. - Xun Shen; Jiancang Zhuang; Xingguo Zhang (IEEE Access, 2019)

Development and evaluation of immersive educational system to improve driver's risk prediction ability in traffic accident situation. - Hiroto Suto; Xingguo Zhang; Xun Shen; Pongsathorn Raksincharoensak; Norimichi Tsumura (ERVR, 2020)

Attention-Based Multimodal Fusion for Estimating Human Emotion in Real-World HRI. - Yuanchao Li; Tianyu Zhao 001; Xun Shen (HRI (Companion), 2020)

Multi-Lateral Participants Decision-Making: A Distribution System Planning Approach With Incomplete Information Game. - Yi Liu 079; Nan Yang; Bangtian Dong; Lei Wu 004; Jing Yan; Xun Shen; Chao Xing; Songkai Liu; Yuehua Huang (IEEE Access, 2020)

Receding Horizon Optimization for Disturbance-aware Predictive Control of Power Electronic Inverters. - Zhengxi Chen; Xun Shen (CoRR, 2020)

Cooperative Comfortable-Driving at Signalized Intersections for Connected and Automated Vehicles. - Xun Shen; Xingguo Zhang; Tinghui Ouyang; Yuanchao Li; Pongsathorn Raksincharoensak (IEEE Robotics Autom. Lett., 2020)

Analysis and Research on Optimization of Picking in Warehouse. - Jingru Chen; Linjing Xing; Xun Shen (CONF-CDS, 2021)

Randomized Computation for the Current Stress Policy Design in the DAB Converter. - Xun Shen; Tinghui Ouyang; Zhengxi Chen; Shuang Zhao; Jiaxin Fang; Yahui Zhang (IEEE Control. Syst. Lett., 2021)

Single-Input Assignment Design for Stabilization of Undirected Networks Towards Ultra-Early Medical Treatment. - Hitoshi Yasukata; Masahide Morishita; Xun Shen; Jun-ichi Imura (ECC, 2022)

Multispectral Pansharpening Based on High-Pass Modulation Regression. - Hong-Yu Yao; Peng Wang 030; Xun Shen; Lixin Shi; Chunlei Zhao (IGARSS, 2022)

Representation learning based on hybrid polynomial approximated extreme learning machine. - Tinghui Ouyang; Xun Shen (Appl. Intell., 2022)

Online structural clustering based on DBSCAN extension with granular descriptors. - Tinghui Ouyang; Xun Shen (Inf. Sci., 2022)

Spatiotemporal Super-Resolution Mapping by Considering the Point Spread Function Effect. - Peng Wang 030; Xun Shen; Gong Zhang 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System. - Nan Yang; Cong Yang; Lei Wu 004; Xun Shen; Junjie Jia; Zhengmao Li; Daojun Chen; Binxin Zhu; Songkai Liu (IEEE Trans. Ind. Informatics, 2022)

Effectiveness of a Driver Assistance System With Deceleration Control and Brake Hold Functions in Stop Sign Intersection Scenarios. - Yuichi Saito; Ryoma Yoshimi; Shinichi Kume; Xun Shen; Akito Yamasaki; Ryosuke Matsumi; Takuma Ito; Toshiki Kinoshita; Shintaro Inoue; Tsukasa Shimizu; Masao Nagai; Hideo Inoue; et al. (IEEE Trans. Intell. Transp. Syst., 2022)

Pedestrian-Aware Statistical Risk Assessment. - Xun Shen; Pongsathorn Raksincharoensak (IEEE Trans. Intell. Transp. Syst., 2022)

Approximate Confidence Region of State Prediction in Stochastic Dynamical Discrete-Time Systems. - Xun Shen; Tinghui Ouyang; Yuhu Wu (ACC, 2023)

Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms. - Akifumi Wachi; Wataru Hashimoto; Xun Shen; Kazumune Hashimoto (NeurIPS, 2023)

Model-Free Dominant Pole Placement for Restabilizing High-Dimensional Network Systems via Small-Sample-Size Data. - Xun Shen; Hampei Sasahara; Masahide Morishita; Jun-ichi Imura; Makito Oku; Kazuyuki Aihara (IEEE Access, 2023)

Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors. - Wataru Hashimoto; Kazumune Hashimoto; Akifumi Wachi; Xun Shen; Masako Kishida; Shigemasa Takai (CoRR, 2023)

Computing Probabilistic Bounds on State Trajectories for Uncertain Systems. - Xun Shen; Tinghui Ouyang; Yahui Zhang; Xingguo Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs. - Xun Shen; Tinghui Ouyang; Nan Yang; Jiancang Zhuang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Blind Hyperspectral Unmixing with Enhanced 2DTV Regularization Term. - Peng Wang 030; Xun Shen; Yingying Kong; Xiwang Zhang; Liguo Wang 001 (Remote. Sens., 2023)

Study on Collision Avoidance Strategies Based on Social Force Model Considering Stochastic Motion of Pedestrians in Mixed Traffic Scenario. - Yan Zhang; Xun Shen; Pongsathorn Raksincharoensak (J. Robotics Mechatronics, 2023)

Cyber-Physical Optimization-Based Fuzzy Control Strategy for Plug-in Hybrid Electric Buses Using Iterative Modified Particle Swarm Optimization. - Chao Yang 006; Ruihu Chen; Weida Wang; Ying Li 036; Xun Shen; Changle Xiang (IEEE Trans. Intell. Veh., 2023)

Approximating Probabilistic Boundary of Future State Trajectory by Minimum-Volume Polynomial Sublevel Sets with Chance Constraints. - Xun Shen; Ye Wang (ACC, 2024)

Safe Reinforcement Learning Using Model Predictive Control with Probabilistic Control Barrier Function. - Xun Shen; Akifumi Wachi; Wataru Hashimoto; Kazumune Hashimoto; Shigemasa Takai (ACC, 2024)

Stochastic Model Predictive Control with Probabilistic Control Barrier Functions and Smooth Sample-based Approximation. - Ye Wang; Xun Shen; Hongyu Qian (CDC, 2024)

Chance Constrained Optimization for Wind Power Curve Fitting with Unclean Data. - Xun Shen (CEC, 2024)

A Survey of Constraint Formulations in Safe Reinforcement Learning. - Akifumi Wachi; Xun Shen; Yanan Sui (IJCAI, 2024)

Flipping-based Policy for Chance-Constrained Markov Decision Processes. - Xun Shen; Shuo Jiang; Akifumi Wachi; Kazumune Hashimoto; Sebastien Gros (NeurIPS, 2024)

Beyond Voice Assistants: Exploring Advantages and Risks of an In-Car Social Robot in Real Driving Scenarios. - Yuanchao Li; Lachlan Urquhart; Nihan Karatas; Shun Shao; Hiroshi Ishiguro; Xun Shen (CoRR, 2024)

Ultra-early medical treatment-oriented system identification using High-Dimension Low-Sample-Size data. - Xun Shen; Naruto Shimada; Hampei Sasahara; Jun-ichi Imura (IFAC J. Syst. Control., 2024)

Approximate Methods for Solving Chance-Constrained Linear Programs in Probability Measure Space. - Xun Shen; Satoshi Ito (J. Optim. Theory Appl., 2024)

Sample-Based Continuous Approximation for Computing Probabilistic Boundary of Future State Trajectory in Uncertain Dynamical Systems. - Xun Shen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Residual Analysis-Based Model Improvement for State Space Models With Nonlinear Responses. - Xun Shen; Jiancang Zhuang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Data-efficient safe learning and control with on-board sensors: Bayesian meta-learning and barrier function based approach. - Wataru Hashimoto; Kazumune Hashimoto; Akifumi Wachi; Xun Shen; Masako Kishida; Shigemasa Takai (Adv. Robotics, 2024)

Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties. - Xun Shen; Ye Wang; Kazumune Hashimoto; Yuhu Wu; Sebastien Gros (Autom., 2025)

Learning-Based Event-Triggered MPC With Gaussian Processes Under Terminal Constraints. - Kazumune Hashimoto; Yuga Onoue; Akifumi Wachi; Xun Shen (IEEE Trans. Cybern., 2025)

Generative Model Predictive Control: Approximating MPC Law With Generative Models. - Xun Shen (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis. - Xun Shen; Hampei Sasahara; Jun-ichi Imura; Makito Oku; Kazuyuki Aihara (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Sample-Based Continuous Approximate Method for Constructing Interval Neural Network. - Xun Shen; Tinghui Ouyang; Kazumune Hashimoto; Yuhu Wu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies. - Runze Yan; Xun Shen; Akifumi Wachi; Sebastien Gros; Anni Zhao; Xiao Hu (CoRR, 2025)