About

Hi, I’m Xin Jinghao (or Cangxi on Social Media), a PhD student currently being tortured by the graduation season…

I’m currently job hunting. If you have any good job recommendations, please contact me!!

[email protected]

Resume

I’m currently studying in the Department of Automation at Shanghai Jiao Tong University, with research areas in end-to-end local path planning (deep reinforcement learning) and real-time global path planning (optimization algorithms).

I love motocycle and adventure. I’ve solo motorcycle toured 8000 Km+. The most unforgettable cycling trip was from Chongqing back to Shanghai starting on 2022/08/20, right after the pandemic ended. It was my first motorcycle tour, and I felt like a little bird~

I like collecting rocks. Every time I reach a new place, I pick up a rock from there. I hope to gather rocks from all around the world, place them in my display cabinet, and label them with tags and photos.

“I love the desert, the desert enveloped by the setting sun” “I love the wind, the evening breeze carrying freedom”

My Trajectory

• 1996 — XinJinghao.Init()
• 2002 — Shuanghu Elementary School, a life of mischief
• 2009 — Yubei Middle School, sudden awakening
• 2015 — Jilin University, my youth, not without scars
• 2016 — Met her, well…
• 2019 — Shanghai Jiao Tong University, embarking on the PhD journey
• 2023 — Nanyang Technological University, as a visting student in Singapore, dialoguing with myself in solitude
• 2024 — Back to SJTU, preparing for graduation, time to show my true skills Some

My Passion Projects

• Deep-Reinforcement-Learning-Algorithms-with-Pytorch

• Color

• Sparrow-V1

• Actor-Sharer-Learner

• OkayPlan

Publications

• Xin J, Kim J, Li Z, et al. Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity. Engineering Applications of Artificial Intelligence. 「Under Review」

• Xin J, Kim J, Chu S, et al. OkayPlan: Obstacle Kinematics Augmented Dynamic real-time path planning via particle swarm optimization[J]. Ocean Engineering, 2024, 303: 117841.

• Xin J, Li Z, Zhang Y, et al. Efficient Real-Time Path Planning with Self-Evolving Particle Swarm Optimization in Dynamic Scenarios[J]. Unmanned Systems, 2024, 12(02): 215-226.

• Xin J, Yu L, Wang J, et al. A diversity-based parallel particle swarm optimization for nonconvex economic dispatch problem[J]. Transactions of the Institute of Measurement and Control, 2023, 45(3): 452-465.

• Li Z, Xin J, Lil N. Autonomous exploration and mapping for mobile robots via cumulative curriculum reinforcement learning[C]//2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023: 7495-7500.

• Li Z, Xin J, Li N. End-to-end autonomous exploration for mobile robots in unknown environments through deep reinforcement learning[C]//2022 IEEE International Conference on Real-time Computing and Robotics. IEEE, 2022: 475-480.

• Qi Y, Xin J, Li N. An Expansion-based Document Ranking Framework Incorporated with Core Concern Capturing[C]//2022 5th International Conference on Intelligent Autonomous Systems (ICoIAS). IEEE, 2022: 370-375.

• J Wang, J Zhang, N Jiang, N Song, J Xin, N Li. Online health assessment and fault prediction for wind turbine generator[J]. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2022, 236(4): 718-730.

• 辛靖豪,于丽英,李柠. 并行异步粒子群优化方法,系统及电子设备, CN112949154B.