CV
Education
Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University — PhD Student in Data Science, 2026–Present
Area: Data Science and Information Technology
Research: Time-Varying Graphs
Supervisor: Prof. Ercan Engin Kuruoglu
- Contributed to the drafting and revision of an NSFC grant proposal on graph-based adaptive learning for drone networks.
Tsinghua University — M.S. in Data Science, 2023.09–2026.06
Research: State Estimation and Acoustic Sensing
Supervisor: Prof. Xiao-Ping Zhang
GPA: 3.70/4.0
Southeast University — B.S. in Computer Science, 2019.09–2023.06
Research: Software Development and Machine Learning
GPA: 3.57/4.0
Research Publications
Conference Paper
Gurui Jin, Pengcheng Hao, Zhenyu Liu, Xiao-Ping Zhang, Ercan E. Kuruoglu, “Robust Kalman Filter For Additive Gaussian-Student’s t Distribution,” 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.
- Proposed RKF-AGST for hybrid measurement noise modeled as additive Gaussian and Student’s t components.
- Reported a 12.27% RMSE reduction over the standard Kalman filter in target-tracking simulations.
- Publication · Code
Conference Manuscript
Gurui Jin, Xiao-Ping Zhang, Le Xiao, Yue Wang, Zhenyu Liu, “SARC: Structured Analytic-Residual Correction for Lightweight Multichannel Speech Enhancement.” Submitted to ICASSP 2027.
Journal Manuscript
Gurui Jin, Pengcheng Hao, Zhenyu Liu, Xiao-Ping Zhang, Ercan E. Kuruoglu, “Robust Kalman Filters For Additive Gaussian-GSM Distributions,” manuscript, 2026. To be submitted.
- Developed a unified robust Kalman-filtering framework for additive Gaussian-GSM measurement noise.
- Introduced a variance-offset formulation and MAP / LA-NM estimators for latent-scale inference.
- Publication · Code
Patent Application
Gurui Jin, Le Xiao, Yue Wang, “Lightweight Real-Time Speech Enhancement Method for Virtual Microphone Arrays Based on Sparse Bayesian Angle Estimation,” China. Patent application in progress.
- Developed a speech-enhancement framework combining virtual-array construction, sparse Bayesian direction estimation, beamforming, and spectral-domain noise reduction.
- Designed the method for real-time deployment on resource-constrained devices.
Experience
Shokz — Algorithm Engineer Intern, 2025.09–2026.03
- Studied beamforming algorithms for microphone arrays.
- Developed integrated speech-enhancement algorithms in waveform and time-frequency domains.
- Implemented and evaluated real-time noise-reduction pipelines for embedded wearable devices.
Tsinghua University — Research Assistant for Prof. Xiao-Ping Zhang, 2024.09–2025.09
- Conducted literature reviews and synthesized research findings for ongoing projects.
- Assisted in research reports and funding proposals.
- Participated in meetings organized by the Shenzhen Science and Technology Innovation Bureau.
Tsinghua University — Teaching Assistant, Bayesian Learning, 2025.02–2025.06
- Graded assignments and exams and provided feedback to students.
- Supported course administration, attendance, and communication with students.
Huatai Securities — Software Engineer Intern, 2022.08–2022.09
- Built a full-stack web application using Vue.js and Element UI.
- Developed Spring Boot backend services, MySQL data storage, and RESTful APIs.
Awards and Honors
- 2022 — Three-Good Student, Southeast University
- 2022 — First Prize, College Student Advanced Mathematics Competition of Jiangsu Province
- 2022 — Second Prize, College Student Advanced Mathematics Competition of China
- 2022 — Honorable Mention, Mathematical Contest in Modeling (USA)
- 2022 — Outstanding Social Practice, Southeast University
- 2021 — Second Prize, Programming Competition of Southeast University
Skills
- Programming: Python, MATLAB, C++, Java
- Languages: Chinese (native), English (fluent; CET-6: 570)
- Professional membership: IEEE Student Member, IEEE Signal Processing Society
Contact
- Email: jgr23@mails.tsinghua.edu.cn
- GitHub: jgr2021