About me

Seeking a Postdoctoral Position Starting Fall 2025. I am open to opportunities in the following areas: Artificial Intelligence, AI Agent, Embodied AI, AI based Robotics, Computer vision and Large Language Models. If you are interested in my experience, please feel free to contact me and let me know.

(Ph.D., 2022~Now) I am studying at Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning. Advised by Prof. Jing Sui. Focus on the application of AI to the field of Neuroimaging Analysis. (M.E., 2019~2022) Advised by Prof. Zhongyu li, Dr.Bin Kong. I majored in software engineering (Mobile Cloud Computing). My research was in AI for Medical Image Analysis. (B.E., 2014~2018) I majored in software engineering, and my graduation project focused on Embedded System Design.

Activities

• 🤔Studing on neural decoding.
• 🤔Studing on longitudinal prediction of depression based on large-scale multimodal imaging.
• 🧪Coding about Multimodal classification of psychiatric disorders.
• 🧪Coding about uncertainty analysis in the field of radiotherapy with fellow medical physics majors.
• ✏️Writing on an academic paper on classification of psychiatric disorders.

News

• 🎉 2024/04 A paper about eliminating site effects will be submitted to EMBC 2024, Accepted.
• ⌛️ 2024/04 The paper on speckle reconstruction, which is a collaboration with the physics department, will be submitted to Optics letter, under review.
• 🎉 2023/12 An abstract of neuroimage classification was submitted to OHBM2024, Poster presentation.
• 🎉 2023/11 A patent for the application of artificial intelligence in the field of radiotherapy.
• ⌛️ 2023/10 In collaboration with the Department of Oncology and Radiology of Peking University Third Hospital and other hospitals, we submitted a journal paper to the Medical physics, under review

Selected Publications

• Xiangxiang Cui, Dongmei Zhi, Weizheng Yan, et al. “CGDM-GAN: An Adversarial Network Approach with Self-supervised Learning for Site Effect Removal. “ In EMBC 2024.
• Xiangxiang Cui, et al. “Multi-Scale Analysis Framework Integrating Brain Functional Connectivity and Activity” In the Annual Meeting of the organization for Human Brain Mapping (OHBM) 2024.
• Xiangxiang Cui, et al. “CGDM-GAN: An Adversarial Network Approach with Self-Supervised for Removing Site Effects” In the Annual Meeting of the organization for Human Brain Mapping (OHBM) 2023.
• Xiangxiang Cui, et al. “Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos” Preprint 2023.
• Yichen Wang, Zhongyu Li, Xiangxiang Cui, et al. “Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos” In MICCAI 2022.
• Xiangxiang Cui, et al. “DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation.” In Neurocomputing 2021, IF:5.779.

Awards

M.E.

• Excellent master’s thesis, June. 2022
• Excellent graduate student, Rank: Top 1%, 2021~2022
• Assem scholarships, Rank: Top 2%, 2021~2022
• Intelligent Algorithm Contest of China, Rank: 13/600 , Nov. 2019

B.E.

• Double Excellent Graduate, July 2018
• Top Scholarship / Premier Scholarship, Rank: Top 1%, July 2018
• Top Scholarship / Premier Scholarship, Rank: Top 1%, July 2017
• President of the Computer Association and ACM Design Association, Sep. 2016
• The highest technology award, Rank: 1/120 Groups, Aug. 2016
• National scholarships, Rank: 1/800, July 2016
• Top Scholarship / Premier Scholarship, Rank: Top 1%, July 2016
• The highest technology award, Rank: 1/120 Groups, Aug. 2015
• Top Scholarship / Premier Scholarship, Rank: Top 1%, July 2015
• The ACM-ICPC Asia Regional Contest, Honorable mention, 2015.
• Selected Courses & Scores:
  • Linear Algebra — 97/100
  • Operating Systems — 94/100
  • Database — 95/100
  • Data Structures — 98/100
  • Android Development — 96/100
  • Web Development — 97/100
  • Linux Application — 94/100
  • Linux System — 94/100

Research experiences

	Ultrasound Video Classification Feature extraction of multiple consecutive video frames based on CNN and LSTM. The verification accuracy of video-based(Our) classification is higher than single-frame classification. This research was done in the Frontline Intelligent Technology Internship.
	Head and Neck Segmentation Label Data Preparation: using regional growth and optical flow to generate pre-segmentation. The Label specialists manually revised pre-segmentation. Deep Learning: using label data and 3D CNN to generate smooth segmentation results. This research was done in the ShenZhen Keya Medical Intership.
	Coronary Segmentation Using CNN to segment the aorta, analyse the aorta segmentation results and then adjust algorithmic to adapt to different hospital datasets. Participating in the refinement of coronary segmentation, including vessel broken, vein removal. Develop vessel segmentation results evaluation tools to improve iterative efficiency. This research was done in the ShenZhen Keya Medical Intership.

Engineering experiences

	Slurm Cluster Management(Centos) Slurm configuration fix. Multi-user data privacy protection. Software environment configuration. As a server administrator in the tutor lab of Beijing Normal University and CAS.
	Multi-User Server Management(Ubuntu) Deep learning, Docker environment configuration, system installation and problem fixes. Multi-user data privacy protection. Each user has separate account access. Users are also grouped by project, and folders cannot be accessed between different groups. Configure Remote Desktop Program so that every user can remotely access the remote desktop. Configure intranet penetration programs to ensure that the intranet can be accessed by external network programs under special circumstances. As a server administrator in the tutor lab of Xi’an Jiaotong University.
	Dance Robot The robot consists of rudder, and motion instructions are issued by the microcomputer system through a serial port. For the coordination and smoothness of the dance, we carefully design the dance moves and use the data structure to coordinate the control action set.
	Web Online Compiler The whole system is completed by using Html, Javascript, Php, Linux shell, Mysql. Support languages: C, C++, C#, Java, Html, Javascript, Php.
	The Embedded Car The whole system is completed by using microsystem STM32, Cortex-A8 and C language. Using KNN to identify direction(turn to left or right) based on the Opencv library. Using PID algorithm and sensor to control the travel stability of the embedded car.
	Union Search Based on JS, HTML to implement multiple search engine(such as: google/bing/baidu.) split-screen results display. This program is simple, but very practical, once online for a while.
	Algorithm Greedy Snakes Game Design the game interface and develop intelligent snake algorithms using C++/CLR Library. Based on the traditional greedy snake algorithms, our algorithm takes food as the target and takes artificially controlled snakes as an obstacle to make path planning. In the end, the winning rate of the algorithm snake exceeds 70%.
	Compus Today Android APP Realize the functions of BBS forum, news and information download, etc. This project participated in the Innovation and Entrepreneurship Competition for Chinese College Students.
	Electronic Labeling Systems The whole system is completed by using microsystem STM32, Wireless hardware module, Ajax, C, HTML, LWIP Network Protocol, ESP8266 module, HTTP Server. Electronic labeling systems can be used in warehouses. The flow is sent from the web, via the wireless network module to the digital display, when the warehouse personnel completes the corresponding order, press the button of the electronic label, and finally the web will show that the task is complete.