Xun SHEN

I am interested in chance constrained optimization theory and its application in control engineering and machine learning, expecially improving the robustness of the systems against uncertainties.

• Bachelor: Sep. 2008 - Jul. 2012, School of Electrical Engineering, Wuhan University, Wuhan, China

• PhD: April 2015 - March 2018, Department of Engineering and Applied Sciences, Sophia University, Tokyo, Japan

• PhD: October 2019 - March 2022, Department of Statistical Sciences, The Graduate University for Advanced Studies, Tokyo, Japan. 

• April 2018 - October 2018, Postdoctoral Research Fellow, Department of Engineering and Applied Sciences, Sophia University, Japan

• January 2019 - May 2019, Research Scientist (Tenured), Subaru Corporation, Japan

• June 2019 - September 2020, Specially Appointed Assistant Professor, Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Japan

• October 2020 - September 2021, Assistant Professor, Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Japan

• October 2021 - November 2022, Specially Appointed Assistant Professor, Department of Systems and Control Engineering, Tokyo Institute of Technology, Japan

• December 2022 - Now, Adjunct Assistant Professor, Department of Systems and Control Engineering, Tokyo Institute of Technology, Japan

• December 2022 - Now, Assistant Professor (Tenure-Track), Graduate School of Engineering, Osaka University, Japan 

• "Development of an interactive elderly driving education system based on an understanding of individual characteristics," Xun Shen(PI), JSPS Grant-in-Aid for Early-Career Scientists with Grant Number "24K16752"

• "Development of a Human-Centric Elderly Driving Education System," Xun Shen (PI), Satoshi Ito, Pongsathorn Raksincharoensak, Xingguo Zhang, Yuanchao Li, Strategic Research Project Granted by Research Organization of Information and Systems with Grant Number "2023-SRP-06"

• "Chance Constrained Data-Driven Measurable Control Policy of Uncertain Systems," Xun Shen(PI), Satoshi Ito, Granted by Institute of Statistical Mathematics with Grant Number "2023-ISMCRP-2016"

• 大阪大学の教育研究力を活かしたSEEDSプログラム～未来を導く傑出した人材発掘と早期育成～ 

1. Nan Yang*, Xun Shen*, and et al, Spatial-temporal optimal pricing for charging stations: a model-driven approach based on group price response behavior of EVs, IEEE Transactions on Transportation Electrification, accepted. (*Equal contribution)

2. Xun Shen, Zhaojie Luo, Yuanchao Li, Tinghui Ouyang, Yuhu Wu, Chance-constrained abnormal data cleaning for robust classification with noisy labels, IEEE Transactions on Emerging Topics in Computational Intelligence, Accepted.

3. Xun Shen, Naruto Shimada, Hampei Sasahara, Jun-ichi Imura, Ultra-Early Medical Treatment-Oriented System Identification Using High-Dimension Low-Sample-Size Data, IFAC Journal of Systems and Control, vol. 27, no. 100245, 2024. DOI: 10.1016/j.ifacsc.2024.100245.

4. Xun Shen, Generative model predictive control: approximating MPC law with generative models, IEEE Transactions on Emerging Topics in Computational Intelligence, early access, DOI: 10.1109/TETCI.2024.3358096. 

5. Xun Shen, Yan Zhang, Xingguo Zhang, Pongsathorn Raksincharoensak, Kazumune Hashimoto, Robust optimal braking policy for avoiding collision with front bicycle, IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 943 - 954, 2023. DOI: 10.1109/OJITS.2023.3335397.

6. Xun Shen, Satoshi Ito, Approximate Methods for Solving Chance Constrained Linear Programs in Probability Measure Space, Journal of Optimization Theory and Applications (JOTA), DOI: 10.1007/s10957-023-02342-w.

7. Xun Shen, Jiancang Zhuang, Residual Analysis-based Model Improvement for State Space Models with Nonlinear Responses, IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3355813.

8. Xun Shen, Sample-based Continuous Approximation for Computing Probabilistic Boundary of Future State Trajectory in Uncertain Dynamical Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, early access, DOI: 10.1109/TETCI.2023.3332558.

9. Jianing Wang, Chen Wang, Shuang Zhao, Helong Li, Lijian Ding, Xun Shen, Alan Mantooth, Comprehensive analysis of paralleled SiC MOSFETs current imbalance under asynchronous gate signals, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 11, no. 5, pp. 4850-4866, 2023. 

10. Xun Shen, Sasahara Hampei, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara, "Model-Free Dominant Pole Placement for Restabilizing High-Dimensional Network Systems via Small-Sample-Size Data," IEEE Access, vol. 11, pp. 45572 - 45585, 2023.

11. Fengqiu Liu, Xun Shen, and et al., Semi-tensor product-based algebra-logic mixed representation and fault diagnosis for a class of gate networks, Asian Journal of Control, vol. 25, no. 5, pp. 3870-3885, 2023.

12. Hitoshi Yasukata, Xun Shen, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazumune Aihara, Design of input assignment and feedback gain for re-stabilizing undirected networks with High-Dimension Low-Sample-Size data, International Journal of Robust and Nonlinear Control, vol. 33, no. 12, pp. 6734-6753, 2023.

13. Yan Zhang, Xun Shen, Pongsathorn Raksincharoensak, Study on collision avoidance strategies based on social force model considering stochastic motion of pedestrians in mixed traffic scenario, Journal of Robotics and Mechatronics, vol. 35, no. 2, 2023 

14. Xun Shen, Tinghui Ouyang, Nan Yang, Jiancang Zhuang, Sample-based neural approximation approach for probabilistic constrained programs, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 2, pp. 1058-1065, 2023.

15. Xun Shen, Tinghui Ouyang, Yahui Zhang, Xingguo Zhang, Computing probabilistic bounds on state trajectories for uncertain systems, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 7, no. 1, pp. 285-290, 2023.

16. Tinghui Ouyang, Xun Shen, Online structural clustering based on DNSCAN extension with granular descriptors, Information Sciences, vol. 607, pp. 688-704, 2022.

17. Xinhui Zhang, Xun Shen, Tinghui Ouyang, Extension of DBSCAN in Online Clustering: An Approach Based on Three-Layer Granular Models, Applied Sciences, vol. 12, no. 19, pp. 9902, 2022.

18. Nan Yang, Cong Yang, Chao Xing, Di Ye, Junjie Jia, Daojun Chen, Xun Shen, Yuehua Huang, Lei Zhang, Binxin Zhu, Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities, IET Generation, Transmission & Distribution, vol. 16, no. 4, pp. 629-640, 2022.

19. Nan Yang, Zhenqiang Dong, Lei Wu, Lei Zhang, Xun Shen, and et al, A Comprehensive Review of Security-Constrained Unit Commitment, Journal of Modern Power Systems and Clean Energy, vol. 10, no. 3, pp. 562 - 576, 2022. 

20. Nan Yang, Cong Yang, Lei Wu, Xun Shen, and et al, Intelligent data-driven decision-making method for dynamic multisequence: an E-Seq2Seq-based SCUC expert system, IEEE Transactions on Industrial Informatics, vol. 18, no. 5, pp. 3126 - 3137, 2022.

21. Xun Shen, Pongsathorn Raksincharoensak, “Statistical models of near-accident event and pedestrian behavior at non-signalized intersections”, Journal of Applied Statistics, vol. 49, no. 15, pp. 4028-4048, 2022.

22. Tinghui Ouyang, Xun Shen, Online structural clustering based on DBSCAN extension with granular descriptors, Information Sciences, vol. 607, pp. 688-704, 2022. 

23. Tinghui Ouyang, Xun Shen, Representation learning based on hybrid polynomial approximated extreme learning machine, Applied Intelligence, vol. 52, no. 7, pp. 8321-8336, 2022.

24. Yuichi Saito, Ryoma Yoshimi, Shinichi Kume, Xun Shen, and et al, Effectiveness of a driver assistance system with deceleration control and brake hold functions in stop sign intersection scenarios, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8747 - 8758, 2022.

25. Xun Shen, Tinghui Ouyang, Chanyut Khajorntraidet, Yuanchao Li, Shuai Li, Jiancang Zhuang, Mixture density networks-based knock simulator, IEEE/ASME Transactions on Mechatronics, vol. 27, no. 1, pp. 159 - 168, 2022.

26. Zhengxi Chen, Xun Shen (Corresponding Author), Hybrid automaton-based disturbance-aware predictive control with receding horizon optimization for three-phase full-bridge inverters, Control Engineering Practice, vol. 121, no. 104984, 2022.

27. Xun Shen, Pongsathorn Raksincharoensak, Pedestrian-aware statistical risk assessment, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7910 - 7918, 2022.

28. Xun Shen, Tinghui Ouyang, Zhengxi Chen, Shuang Zhao, Jiaxin Fang, Yahui Zhang, Randomized computation for the current stress policy design in the DAB converter, IEEE Control Systems Letters, vol. 5, no. 3, pp. 863 - 868, 2021.

29. Yan Zhang, Xun Shen, Pongsathorn Raksincharoensak, Automated vehicle’s overtaking maneuver with yielding to oncoming vehicles in urban area based on model predictive control, vol. 11, no. 19, pp. 9003, 2021.

30. Xun Shen, Xingguo Zhang, Tinghui Ouyang, Yuanchao Li, Pongsathorn Raksincharoensak, Cooperative comfortable-driving at signalized intersections for connected and automated vehicles, IEEE Robotics and Automation Letters, vol. 5, no. 4, pp. 6247 - 6254, 2020.

31. Xun Shen, Yahui Zhang, Kota Sata, Tielong Shen, Gaussian mixture model clustering-based knock threshold learning in automotive engines, IEEE/ASME Transactions on Mechatronics, vol. 25, no. 6, pp. 2981 - 2991, 2020.

32. Yi Liu, Nan Yang, Bangtian Dong, Lei Wu, Jing Yan, Xun Shen, and et al, Multi-lateral participants decision-making: a distribution system planning approach with incomplete information game, IEEE Access, vol. 8, pp. 88933 - 88950, 2020. 

33. Hiroto Suto, Xingguo Zhang, Xun Shen, Pongsathorn Raksincharoensak, and Norimichi Tsumura, Virtual-reality-based training system for the improvement of the Driver’s Ability to Predict Dangers in driving situations, Journal of Electrical Engineering, vol. 8, pp. 8-16, 2020.

34. Xun Shen, Xingguo Zhang, Jiancang Zhuang, Approximate uncertain program, IEEE Access, vol. 7, pp. 182357 - 182365, 2019.

35. Xun Shen, Yahui Zhang, Tielong Shen, Cylinder pressure resonant frequency cyclic estimation-based knock intensity metric in combustion engines, Applied Thermal Engineering, vol. 158, no. 25, pp. 113756, 2019.

36. Yahui Zhang, Xun Shen (Corresponding Author), Yuhu Wu, Tielong Shen, On-board knock probability map learning–based spark advance control for combustion engines, International Journal of Engine Research, vol. 20, no. 10, pp. 1073-1088, 2019.

37. Zidan Xu, Yahui Zhang, Huanyu Di, Xun Shen, Tielong Shen, Combustion Variation Restrain Control with Extremum Seeking of Thermal Efficiency, Transactions of Society of Automotive Engineers of Japan, vol. 50, no. 2, pp. 334-339, 2019. 

38. Xun Shen, Yuhu Wu, Tielong Shen, Logical control scheme with real-time statistical learning for residual gas fraction in IC engines, Science China Information Sciences, vol. 61, no. 010203, 2018.

39. Yahui Zhang, Xun Shen (Corresponding Author), Tielong Shen, A survey on online learning and optimization for spark advance control of SI engines, Science China Information Sciences, vol. 61, no. 70201, 2018.

40. Xun Shen, Tielong Shen, Chance-constrained optimization for torque tracking control with improving fuel economy in spark-ignition engines, SICE Journal of Control, Measurement, and System Integration, vol. 11, no. 4, pp. 365-371, 2018.

41. Xun Shen, Tielong Shen, Real-time statistical learning-based stochastic knock limit control for spark-ignition engines, Applied Thermal Engineering, vol. 127, no. 25, pp. 1518-1529, 2017.

42. Xun Shen, Yahui Zhang, Tielong Shen, Chanyut Khajorntraidet, Spark advance self-optimization with knock probability threshold for lean-burn operation mode of SI engine, Energy, vol. 122, no. 1, pp. 1-10, 2017.

1. Akifumi Wachi, Xun Shen, Yanan Sui, A survey of constraint formulations in safe reinforcement learning, 2024 International Joint Conference on Artificial Intelligence (IJCAI-24), Accepted. (Acceptance rate 20.6%)

2. Xun Shen, Chance constrained optimization for wind power curve fitting with unclean data, IEEE World Congress on Computational Intelligence (IEEE WCCI 2024), Accepted.

3. Xun Shen, Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto, Shigemasa Takai, Safe reinforcement learning using model predictive control with probabilistic control barrier function, 2024 American Control Conference (ACC), Accepted.

4. Xun Shen, Ye Wang, Approximating probabilistic boundary of future state trajectory by minimum-volume polynomial sublevel sets with chance constraints, 2024 American Control Conference (ACC), Accepted.

5. Yan Zhang, Xun Shen, Pongsathorn Raksincharoensak, Social force model-based strategy for avoiding collision with front bicycle, Proceedings of 7th International Symposium on Future Active Safety Technology Towards Zero-Traffic-Accidents (FAST-zero'23), Kanazawa, Japan, 8 November 2023.

6. Xinguo Zhang, Hiraki Watanabe, Xun Shen, Pongsathorn Raksincharoensak, Effect of an on-road crossing warning system on pedestrian safety using a virtual walking simulator device, Proceedings of 7th International Symposium on Future Active Safety Technology Towards Zero-Traffic-Accidents (FAST-zero'23), Kanazawa, Japan, 9 November 2023.

7. Akifumi Wachi, Wataru Hashimoto, Xun Shen, Kazumune Hashimoto, Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms, 2023 Conference on Neural Information Processing Systems (NeurIPS 2023), Accepted. 

8. Xun Shen, Hampei Sasahara, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara, Data-driven re-stabilization of gene regulatory network towards early medical treatment, IFAC WC 2023, Accepted.

9. Yuto Saito, Hampei Sasahara, Xun Shen, Jonatan Pena Ramirez, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara, Pre-disease detection using dynamical network biomarkers in dene regulatory networks with cell-to-cell interaction, IFAC WC 2023, Accepted.

10. Naruto Shimada, Xun Shen, Hampei Sasahara, Jun-ichi Imura, System Identification Using Sample Covariance Matrix, IFAC WC 2023, Accepted.

11. Xun Shen, Tinghui Ouyang, Yuhu Wu, Approximate Confidence Region of State Prediction in Stochastic Dynamical Discrete-Time Systems, 2023 American Control Conference (ACC), San Diego, CA, USA, May 31 - June 2, 2023.

12. Xun Shen, Masahide Morishita, Jun-ichi Imura, Makito Oku, Kazuyuki Aihara, Low-Sample-Size Data-Driven Re-stabilization of Gene Network Systems， 10th IFAC Symposium on Robust Control Design ROCOND 2022， vol. 55, no. 25, pp. 241-246, 2022.

13. Yan Zhang, Xun Shen, Pongsathorn Raksincharoensak, Decision making and motion control for automated collision avoidance based on neural approximation approach, The 15th International Symposium on Advanced Vehicle Control(AVEC), Kanagawa, Japan, September 12 - 16, 2022.

14. Hitoshi Yasukata, Masahide Morishita, Xun Shen, and Jun-ichi Imura, Single-input assignment design for stabilization of undirected networks towards ultra-early medical treatment, 2022 European Control Conference (ECC), DOI: 10.23919/ECC55457.2022.9838461

15. Xun Shen, Yahui Zhang, Estimating vehicle mass and road grade through Bayesian inversion, 6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling E-COSM 2021, vol. 54, no. 10, pp. 235-240, 2021.

16. Xingguo Zhang, Xun Shen, Pongsathorn Raksincharoensak, A dynamic avoidance mobility model for the following car using naturalistic driving data, 6th IFAC Conference on Engine Powertrain Control, Simulation and Modeling E-COSM 2021, vol. 54, no. 10, pp. 298-303, 2021.

17. Xun Shen, Tetsuya Ehira, Yoshiyuki Yamada, Noriaki, Itagaki, Pongsathorn Raksincharoensak, Robust optimization-based braking decision for sudden turning right of bicycles in narrow roads, FAST-zero21, September 28-29, 2021.

18. Xun Shen, Xingguo Zhang, Pongsathorn Raksincharoensak, Probabilistic bounds on vehicle trajectory prediction using scenario approach, 21st IFAC World Congress Berlin, Germany, 11–17 July 2020.

19. Xun Shen, Tielong Shen, Probability-constrained optimal control of combustion engines, 37th Chinese Control Conference (CCC), pp. 7856-7861, 2018.

20. Xun Shen, Yahui Zhang, Tielong Shen, Lower Bound of Variance Minimization in Lean Combustion Control, 5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling E-COSM 2018: Changchun, China, 20–22 September 2018.

21. Xun Shen, Tielong Shen, Neural-network-based vehicle torque demand forecasting, 17th International Conference on Control, Automation and Systems (ICCAS), Jeju, Korea (South), 18-21 October 2017.

22. Xun Shen, Tielong Shen, Knock limit controller based on exponential moving average of knock intensity, 8th IFAC Symposium on Advances in Automotive Control AAC 2016: Norrköping, Sweden, 20—23 June 2016.

23. Xun Shen, Jiangyan Zhang, Tielong Shen, Real-time scenario-based stochastic optimal energy management strategy for HEVs, 2016 European Control Conference (ECC), Aalborg, Denmark, 29 June 2016 - 01 July 2016.

24. Xun Shen, Tielong Shen, Xiaoming Zha, Kunihiko Hikiri, State-of-charge estimation of super-capacitor using dual extended kalman filter, Proceedings of the 33rd Chinese Control Conference, pp. 227-232, 2015.

25. Xun Shen, Research on on-line monitoring system for the cross connecting XLPE cable, Proceedings of 2011 IEEE Power Engineering and Automation Conference, 2011

26. Dai Ting, Xun Shen, Network static voltage stability analysis based on sensitivity, Proceedings of 2011 IEEE Power Engineering and Automation Conference, 2011.

27. Jie Xiong, Wei Liu, Xun Shen, Qiang Liu, Weijian Jin, Hougui Chen, Information management system of FRID tag auto-fill and tape performance, Proceedings of 2011 IEEE Power Engineering and Automation Conference, 2011.

1. Kota Sata, Masato Ehara, SHEN Tielong, Xun Shen, Yahui Zhang, Control apparatus, control method, discrimination boundary setting apparatus, and discrimination boundary setting method, US patent, Pub . No .: US 2020/0102929 A1, Pub . Date : Apr. 2 , 2020.