Research projects

The PI has led 7 projects funded by the NSFC, key-laboratory programs and industry, and has taken part in 12 national or provincial projects.

As principal investigator

ongoing

Plausibility assessment of the content of computer-synthesized medical images

NSFC General Program (62271448) · 2023–2026

Annotation-free methods that judge whether a synthetic image can be trusted at three levels: texture continuity, anatomical plausibility, and causal plausibility between two successive scans. Three granted invention patents so far.

completed

Constraint methods for parameterizing functional shape cross-sections

NSFC Young Scientists Fund (61802347) · 2019–2021

An image autoencoder compresses wind-turbine blade profiles into a latent space searched by an evolutionary algorithm (Neurocomputing 2022); five granted patents.

completed

Simulation and deep-learning algorithms for ultra-dense micro acoustic arrays

Key laboratory open project · 2020

Simulation software and deep-learning direction finding for low-frequency wideband sources (Meas. Sci. Technol. 2025); two granted patents.

completed

Hybrid target recognition with compact deep networks

Key laboratory open project · 2016

Training and compressing networks with loosely and weakly labelled web images so they run on wireless sensor nodes (Neurocomputing 2021).

ongoing

Cloud service software for biometric recognition terminals

Industry (Shanghai Institute of Microsystem and Information Technology, CAS) · 2025

completed

Design (2014) and improvement (2017) of a seismic–acoustic energy converter

Industry (Shanghai Institute of Microsystem and Information Technology, CAS) · 2014, 2017

A microphone-based vibration sensor that uses the device battery as its proof mass (IEEE Trans. Ind. Electron. 2017).

As participant (provincial level and above)

  1. Research and Demonstration of "One Sensor, Multiple Recognitions" Monitoring and Early-Warning Equipment for Grassroots Community Governance. National Key R&D Program of China (sub-project), PI Xiaoqin Zhang, started 2025, ongoing
  2. Domain-Adaptive Recognition of Dermoscopic Signs and Intelligent Diagnosis of Hair Loss Disorders. NSFC General Program, PI Haigen Hu, started 2023, ongoing
  3. Traffic Situation Assessment by Spatiotemporal Feature Fusion with Attention and Multi-Structure Graph Convolution. NSFC General Program, PI Guojiang Shen, started 2020, completed
  4. Locating Sensitive Units of Gate-Level Circuits within a Memetic Framework. NSFC General Program, PI Jie Xiao, started 2019, completed
  5. Three-Dimensional Ultrasound Assessment of Sagittal Characteristics in Adolescent Idiopathic Scoliosis. NSFC Young Scientists Fund, PI Weiwei Jiang, started 2017, completed
  6. High-Precision Fast Reliability Evaluation of Generalized Gate Circuits Based on an Extended Probabilistic Transfer Matrix Model. NSFC Young Scientists Fund, PI Jie Xiao, started 2016, completed
  7. Diagnosis and New Technologies for Musculoskeletal Diseases, sub-project on a Swimmer's Shoulder Early-Warning System Based on Motion Capture and Machine Learning. "Pioneer" and "Leading Goose" R&D Program of Zhejiang Province, PI Haigen Hu, started 2025, ongoing
  8. Key Technologies for Next-Generation Intelligent Medical Big Data and Multimodal Knowledge Fusion. "Pioneer" and "Leading Goose" R&D Program of Zhejiang Province, PI Qiu Guan, started 2024, ongoing
  9. Modern Traditional Chinese Medicine Equipment, sub-project on an Intelligent Robot Based on Tuina Theory and Simulation of Expert Techniques. "Pioneer" and "Leading Goose" R&D Program of Zhejiang Province, PI Wanliang Wang, started 2021, ongoing
  10. Interpretable Depression Prediction Based on Multimodal Edge-Centric Brain Networks. Zhejiang Provincial Natural Science Foundation, Exploration Project, PI Haixia Long, started 2022, completed
  11. Prediction of Populations at High Risk of Depression from Multimodal Data. Zhejiang Provincial Natural Science Foundation, Exploration Project (Youth), PI Haixia Long, started 2017, completed
  12. Reliability Computation of Transistor-Level Generalized Gate Circuits Based on Probabilistic Transfer Matrices. Zhejiang Provincial Natural Science Foundation, Exploration Project (Youth), PI Jie Xiao, started 2015, completed