Team
LatentLab is part of the Intelligent Agent Fault-Tolerance and Cooperative Computing Team led by Prof. Jie Xiao, which studies how intelligent systems keep working reliably under faults and interference.
Principal investigator
Qianwei Zhou · Associate Professor, Doctoral Supervisor
Qianwei Zhou, Ph.D., is an Associate Professor and doctoral supervisor in the College of Computer Science and Technology at Zhejiang University of Technology. He studies robust representations of multimodal neural and medical signals; his current focus is robust EEG feature extraction under multimodal constraints. He has published or had accepted more than 80 papers (2,076 Google Scholar citations, h-index 20), led one NSFC General Program and one NSFC Young Scientists grant, and holds 20 granted Chinese invention patents as first inventor, 4 of them transferred to industry. In 2023 he was selected as a Category D talent in the ZJUT 14th Five-Year High-Level Talent Program.
PI homepage at ZJUT · Google Scholar
Career
- 2024.08–2026.08 Postdoctoral Associate, Department of Anesthesiology, Weill Cornell Medicine, New York (mentor Jyun-you Liou)
- 2022.12– Associate Professor, Institute of Computer Vision, ZJUT; doctoral supervisor since 2023
- 2018.08–2019.08 Visiting Scholar, Department of Radiology, University of Pittsburgh (mentor Shandong Wu)
- 2014.07–2022.12 Lecturer, Institute of Computer Vision, ZJUT
- 2013.08–2013.10 IBM Research China, Shanghai, Internet of Vehicles group
- 2009.09–2014.07 Ph.D., Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (advisor Xiaobing Yuan)
- 2005.09–2009.07 B.Eng. in Communication Engineering, Hangzhou Dianzi University
Teaching
Undergraduate: Survey of Artificial Intelligence (for economics, management and law majors), Introduction to Artificial Intelligence, Java Programming and its course project, Fundamentals of Programming (Python). Graduate: Principles and Applications of Artificial Intelligence (bilingual, co-taught with Qiu Guan).
Service
Youth Member, Radiology Committee of the Zhejiang Society of Mathematical Medicine; IEEE and CCF member. Reviewer for IEEE TNNLS, IEEE TMI, IEEE JBHI, IEEE/ACM TCBB, IEEE IoT-J, IEEE SPL, Pattern Recognition, Neurocomputing, ESWA, EAAI, Applied Soft Computing and others.
Current students
Kunkun Zhang
Ph.D. student (master–Ph.D. track, 2022)
EEG decoding across people; aligning latent neural dynamics; direction finding with ultra-dense microphone arrays
- First author, IEEE Trans. Instrum. Meas. 2026; ICASSP 2025; Meas. Sci. Technol. 2025; ICONIP 2024
- National second prize, China Post-Graduate Mathematical Contest in Modeling (2024)
- Third prize, World Robot Contest BCI track (2024)
Fengmin Cheng
Ph.D. student (2023)
Driving-behaviour modelling: how drivers interact when merging onto highways, learned from vehicle trajectories
Jianan Jiang
Master's student (2024)
Medical image analysis with clinical partners
- Co-author, European Journal of Radiology 2025 (predicting tumour downstaging in rectal cancer after neoadjuvant therapy)
Xinyu Guo
Master's student (2024)
Predicting breast-cancer response to chemotherapy from longitudinal MRI, using the real time between scans
Guoming Huang
Master's student (2025)
Mengyao Qiu
Master's student (2025)
Haonan Tong
Master's student (2026)
Alumni
What they did here, and where they went.
Jingshan Hong
Ph.D., 2026 (entered 2024)
Few-shot industrial defect detection; few-shot semantic segmentation
Thesis: Few-shot surface defect detection for soft-magnetic wound inductors
- First author, Measurement 2026 (DD-Net); Information Processing & Management 2026
Chen Jin
M.S., 2026
Predicting breast-cancer response to chemotherapy from MRI
Thesis: Spatiotemporal joint prediction of treatment response from multi-time-point 3-D breast MRI
- Co-first author, eClinicalMedicine 2025; first author, Biomedical Signal Processing and Control 2026 (TiMoS-Net)
- National second prize, Mathematical Contest in Modeling (2024)
Kehao Wu
M.S., 2026
Brain–computer interfaces: motor-imagery EEG decoding
Thesis: Cross-subject EEG decoding and online recognition for motor imagery
- Co-author, IEEE Trans. Instrum. Meas. 2026 and ICONIP 2024
- Third prize, World Robot Contest BCI track (2024); national second prize, Mathematical Contest in Modeling (2024)
Zhitao Chen
M.S., 2026
Brain–computer interfaces: motor-imagery EEG decoding
Thesis: Motor-imagery EEG decoding with multi-scale representation enhancement and statistical manifold modelling
- Co-author, IEEE Trans. Instrum. Meas. 2026
- Third prize, World Robot Contest BCI track (2024)
Haixin Shen
M.S., 2026
Breast MRI segmentation across hospitals (domain adaptation)
Thesis: Domain adaptation for multi-centre breast MRI segmentation
- Co-author, Biomedical Signal Processing and Control 2026 (TiMoS-Net)
Jiayi Shen
M.S., 2026
Estimating biological age from mammograms when age labels are noisy
Thesis: Biological age estimation from mammograms with noisy labels, for diagnostic support
Kai Zheng
M.S., 2026
Features that stay stable across a woman's mammograms over the years
Thesis: Longitudinally invariant feature extraction from sequential mammograms
Yanzhuang Wu
M.S., 2025
Encoding wind-turbine rotor shapes for automatic design optimisation
Thesis: Encoding and decoding very-high-resolution wind-rotor cross-section images
- Co-author, Neurocomputing 2022 (Savonius wind-turbine optimisation)
- Third prize, Service Outsourcing Innovation Competition, Eastern Region (2021)
Zihao Yang
M.S., 2025
Unsupervised segmentation and anomaly detection in medical images
Thesis: Unsupervised segmentation and anomaly detection inspired by the strong regularity of medical images
- Co-author, Expert Systems with Applications 2023 (NBIoU, salient object detection)
Mengda Xu
M.S., 2025
Time-series models for low-liquidity financial data
Thesis: Time-series understanding for low-liquidity financial data
Yintao Ma
M.S., 2025
Medical image segmentation
Thesis: Medical image segmentation with multi-scale feature self-attention and incremental learning
Jintao Wang
M.S., 2024
Detecting GAN-manipulated mammograms (the Risk Assessment demo)
Thesis: Assessing the plausibility of medical images generated by adversarial algorithms
- Second author, Engineering Applications of Artificial Intelligence 2025 (RMFDNet)
After graduationCivil servant
Jun Tao
M.S., 2023
Deep learning for low-frequency micro acoustic arrays
Thesis: Deep-learning algorithms for low-frequency micro acoustic arrays
- Co-author, Measurement Science and Technology 2025 and ICONIP 2024
- Third prize, Service Outsourcing Innovation Competition, Eastern Region (2021)
After graduationCivil servant
Chen Zhou
M.S., 2022
Salient object detection; judging when a network is trained enough using pseudo-random data
Thesis: Evaluating networks with pseudo-random data for salient object detection
- Second author, Expert Systems with Applications 2023 (NBIoU); co-author, EAAI 2025 (RMFDNet) and Neurocomputing 2021, 2022
- Third prize, Service Outsourcing Innovation Competition, Eastern Region (2021)
After graduationLeapmotor
Yibo Liu
M.S., entered 2018
Synthesising missing MRI modalities with knowledge from 3-D models
- Second author, IEEE BIBM 2021 (unsupervised multimodal MR image synthesis)
- Third prize, Service Outsourcing Innovation Competition, Eastern Region (2021)
After graduationChina Zheshang Bank (Yiqiyin fintech)
Yuhang Chen
M.S., 2020 (co-supervised with Haigen Hu)
Compact networks for recognising targets in wireless-sensor-network images
Thesis: Compact deep networks for special-target recognition
- Second author, Neurocomputing 2021 (training networks for wireless sensor networks with loosely and weakly labelled images)
After graduationAlibaba DAMO Academy
Peng Tao
M.S., 2020 (co-supervised with Fan Zhang)
Autoencoders for shape images and wind-turbine design
Thesis: Sparse image encoding and decoding for wind-turbine rotor-section optimisation
- Co-author, Neurocomputing 2022 (Savonius wind-turbine optimisation)
After graduationFreetech Intelligent Systems (driver-assistance systems)
Qiliang Zhan
M.S., 2020 (co-supervised with Shengyong Chen)
Image segmentation and fine-grained recognition
Thesis: Butterfly image segmentation and recognition based on deep learning
- First author, Journal of Chinese Computer Systems 2020 (instance segmentation combining Mask R-CNN, superpixels and GrabCut)
Undergraduate researchers
- Hanmo Chen — National undergraduate innovation project on robot-arm calibration with ultrasonic micro-arrays (2022–2023); first author, Computers and Electrical Engineering 2025; first inventor of a granted patent (2026).
- Binjia Zhou — First author, Soft Computing 2024 (cross-dimensional MRI synthesis).
- Taocheng Chen — Undergraduate, 2024 cohort.
- Meina Wei — Undergraduate in Software Engineering, 2025 cohort.
- Jianing Zhu — Web crawlers for collecting news and image data; deep reinforcement learning.
Awards
- National second prize (Problem D), 21st "Huawei Cup" China Post-Graduate Mathematical Contest in Modeling — Kunkun Zhang, Kehao Wu, Chen Jin
- Third prize, World Robot Contest Championships 2024, BCI Brain-Controlled Robot Contest (motor rehabilitation with non-invasive BCI) — Kunkun Zhang, Kehao Wu, Zhitao Chen
- Outstanding Graduate of Zhejiang Province — Zhifang Gong (undergraduate thesis supervised by Qianwei Zhou)
- Third prize, Eastern Regional Contest, 12th China College Students' Service Outsourcing Innovation and Entrepreneurship Competition — Chen Zhou, Jun Tao, Yanzhuang Wu, Yibo Liu
- First prize, East China Division, National College Students' IoT Design Contest — Qichen Sun and team (advisors Sheng Liu, Qianwei Zhou)
Photos
