Zhengyuan Zhang
Computational imaging, Medical imaging, Inverse problem, Hardware acceleration
A short introduction
I am a Postdoctoral Research Fellow jointly at the College of Computing and Data Science and the Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Singapore. From 2023 to 2026, I was a Postdoctoral Research Fellow at NTU’s School of Electrical and Electronic Engineering, where I also received my Ph.D. in 2024, supported by a full NTU Ph.D. scholarship. Before that, I received my M.Eng. from the State Key Laboratory of Robotics and System at Harbin Institute of Technology (HIT), supervised by Academician Hong Liu and Prof. Minghe Jin, and my B.Eng. from the School of Mechatronics Engineering, HIT.
My research is in computational imaging and medical imaging, where I combine physical imaging models with deep learning to solve inverse problems. My work covers photoacoustic microscopy and medical ultrasound: I develop model-based and learning-based methods for photoacoustic imaging enhancement, and diffusion model-based methods that bring portable ultrasound images closer to high-end clinical quality. I also work on hardware acceleration, making these algorithms run in real time on handheld imaging systems through in-memory computing and few-step diffusion inference.
I teach IN6242 Deep Learning Foundations, a postgraduate course at NTU’s Wee Kim Wee School of Communication and Information, and co-supervise Master’s and undergraduate students at NTU.
News
- Started teaching IN6242 Deep Learning Foundations, a postgraduate course at NTU’s Wee Kim Wee School of Communication and Information.
- Our paper on physics-guided segmentation for lensless imaging was published in IEEE Transactions on Emerging Topics in Computational Intelligence.
- Joined the College of Computing and Data Science and the Lee Kong Chian School of Medicine, NTU, as a Postdoctoral Research Fellow.
- Dual Branch Graph Induced Fusion Network for high temporal-lateral resolution PAM published in IEEE Transactions on Computational Imaging.
- Two papers presented orally at IEEE ISCAS 2025.
- FeRAM neuromorphic design for real-time handheld photoacoustic imaging published in IEEE Transactions on Biomedical Circuits and Systems.
- Group sparsity with deep denoiser prior for AR-PAM published in IEEE Transactions on Image Processing.
- Completed my Ph.D. at Nanyang Technological University, Singapore.
- Joined the School of Electrical and Electronic Engineering, NTU, as a Postdoctoral Research Fellow.
Research Interests:
- Computational Imaging
- Medical Imaging
- Inverse Problem
- Hardware Acceleration
Research Highlights:
- Development of a deep and domain transfer learning framework that brings acoustic-resolution PAM to optical resolution
- Development of a model-based method for adaptive AR-PAM enhancement with a deep CNN prior
- Development of an optimization scheme that integrates group sparsity with a deep denoiser prior
- Development of a dual branch network for high temporal-lateral resolution PAM
- Co-design of a FeRAM crossbar neuromorphic accelerator for real-time handheld photoacoustic imaging
- Development of physics-guided feature inversion for semantic segmentation in lensless imaging
Selected Journal Publications
- Xiangjun Yin, Boyi Dong, Zhengyuan Zhang*, Wenbo Wang, Qing Liu, and Yuanjin Zheng. “Emergent Semantics in Lensless Imaging: Decoupled Segmentation with Physics-Guided Feature Inversion.” IEEE Transactions on Emerging Topics in Computational Intelligence (2026).
- Zhengyuan Zhang, Xiangjun Yin, Zhuoyi Lin, Wenwen Zhang, Ze Feng, Arunima Sharma, Manojit Pramanik, Chia-Wen Lin, and Yuanjin Zheng. “High Temporal-Lateral Resolution Photoacoustic Microscopy Imaging with Dual Branch Graph Induced Fusion Network.” IEEE Transactions on Computational Imaging 12 (2025): 73–85.
- Zhengyuan Zhang, Zuozhou Pan, Zhuoyi Lin, Arunima Sharma, Chia-Wen Lin, Manojit Pramanik, and Yuanjin Zheng. “Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement: Integration of Group Sparsity with Deep Denoiser Prior.” IEEE Transactions on Image Processing 34 (2025): 522–537.
- Zhengyuan Zhang, Tiancheng Cao, Siyu Liu, Haoran Jin, Wensong Wang, Xiangjun Yin, Chen Liu, Wang Ling Goh, Yuan Gao, and Yuanjin Zheng. “Real-Time Imaging Enhancement of Handheld Photoacoustic System with FeRAM Crossbar Array Based Neuromorphic Design.” IEEE Transactions on Biomedical Circuits and Systems 19 (2025): 1031–1044.
- Zhengyuan Zhang, Haoran Jin, Wenwen Zhang, Wenhao Lu, Zesheng Zheng, Arunima Sharma, Manojit Pramanik, and Yuanjin Zheng. “Adaptive Enhancement of Acoustic Resolution Photoacoustic Microscopy Imaging via Deep CNN Prior.” Photoacoustics 30 (2023): 100484.
- Zuozhou Pan+, Zhengyuan Zhang+, Zong Meng, and Yuebing Wang. “A Novel Fault Classification Feature Extraction Method for Rolling Bearing Based on Multi-Sensor Fusion Technology and EB-1D-TP Encoding Algorithm.” ISA Transactions 142 (2023): 427–444.
- Zhengyuan Zhang, Haoran Jin, Zesheng Zheng, Arunima Sharma, Lipo Wang, Manojit Pramanik, and Yuanjin Zheng. “Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution.” IEEE Transactions on Medical Imaging 41 (2022): 3636–3648.
+ co-first author · * corresponding author · Full publication list
For more information
More information about me can be found in my CV or the downloadable CV.
Publications
+ co-first author · * corresponding author · Full and current list on Google Scholar
Journal Articles
2026
- Xiangjun Yin, Boyi Dong, Zhengyuan Zhang*, Wenbo Wang, Qing Liu, and Yuanjin Zheng. “Emergent Semantics in Lensless Imaging: Decoupled Segmentation with Physics-Guided Feature Inversion.” IEEE Transactions on Emerging Topics in Computational Intelligence (2026).
2025
- Zhengyuan Zhang, Xiangjun Yin, Zhuoyi Lin, Wenwen Zhang, Ze Feng, Arunima Sharma, Manojit Pramanik, Chia-Wen Lin, and Yuanjin Zheng. “High Temporal-Lateral Resolution Photoacoustic Microscopy Imaging with Dual Branch Graph Induced Fusion Network.” IEEE Transactions on Computational Imaging 12 (2025): 73–85.
- Zhengyuan Zhang, Zuozhou Pan, Zhuoyi Lin, Arunima Sharma, Chia-Wen Lin, Manojit Pramanik, and Yuanjin Zheng. “Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement: Integration of Group Sparsity with Deep Denoiser Prior.” IEEE Transactions on Image Processing 34 (2025): 522–537.
- Zhengyuan Zhang, Tiancheng Cao, Siyu Liu, Haoran Jin, Wensong Wang, Xiangjun Yin, Chen Liu, Wang Ling Goh, Yuan Gao, and Yuanjin Zheng. “Real-Time Imaging Enhancement of Handheld Photoacoustic System with FeRAM Crossbar Array Based Neuromorphic Design.” IEEE Transactions on Biomedical Circuits and Systems 19 (2025): 1031–1044.
- Youshen Xiao, Zhengyuan Zhang, Ruixi Sun, Sheng Liao, Fan Zhang, Yunhui Jiang, Xiyu Chen, Arunima Sharma, Manojit Pramanik, Yuyao Zhang, and Fei Gao. “Resolution Enhancement of Under-Sampled Photoacoustic Microscopy Images Using Neural Representation.” IEEE Transactions on Computational Imaging 11 (2025): 678–688.
- Xinben Hu, Tianjian Liu, Zhengyuan Zhang, Xuan Xiao, Lin Chen, Gao Wei, Yunjiang Wang, Keji Yang, Haoran Jin, and Yongjian Zhu. “Standalone Ultrasound-Based Highly Visualized Volumetric Spine Imaging for Surgical Navigation.” Scientific Reports 15 (2025): 4922.
- Wenwen Zhang, Shuhao Hu, Zhengyuan Zhang, Lei Wang, Gerhard Rigoll, Qi Jie Wang, and Zhiping Lin. “Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems.” IEEE Transactions on Instrumentation and Measurement (2025).
2024
- Pengfei Qi, Zhengyuan Zhang, Xue Feng, Puxiang Lai, and Yuanjin Zheng. “A Symmetric Forward-Inverse Reinforcement Framework for Image Reconstruction through Scattering Media.” Optics & Laser Technology 179 (2024): 111222.
- Zuozhou Pan, Zhengyuan Zhang, Peng Zhao, Zong Meng, Yuebin Wang, and Yuanjin Zheng. “Multi-Sensor Signal Fusion Method for Rolling Bearing Based on the Standard Relative Mean–Variance Value and Random Weighting Algorithm.” Measurement 235 (2024): 114823.
2023
- Zhengyuan Zhang, Haoran Jin, Wenwen Zhang, Wenhao Lu, Zesheng Zheng, Arunima Sharma, Manojit Pramanik, and Yuanjin Zheng. “Adaptive Enhancement of Acoustic Resolution Photoacoustic Microscopy Imaging via Deep CNN Prior.” Photoacoustics 30 (2023): 100484.
- Zuozhou Pan+, Zhengyuan Zhang+, Zong Meng, and Yuebing Wang. “A Novel Fault Classification Feature Extraction Method for Rolling Bearing Based on Multi-Sensor Fusion Technology and EB-1D-TP Encoding Algorithm.” ISA Transactions 142 (2023): 427–444.
- Wenhao Lu, Zhengyuan Zhang, Feng Qin, Wenwen Zhang, Yuncheng Lu, Yue Liu, and Yuanjin Zheng. “Analysis on the Inherent Noise Tolerance of Feedforward Network and One Noise-Resilient Structure.” Neural Networks 165 (2023): 786–798.
- Feng Qin, Bing Li, Lei Chen, Tao Tang, Zhuqing Wang, Yu Huang, Zhenlong Zhang, Zhengyuan Zhang, and Yuanjin Zheng. “Influence Mechanism of Gas Turbine Blade Thickness on Photoacoustic Signals to Guide Defect Imaging Detection.” IEEE Transactions on Instrumentation and Measurement 72 (2023): 1–12.
2022
- Zhengyuan Zhang, Haoran Jin, Zesheng Zheng, Arunima Sharma, Lipo Wang, Manojit Pramanik, and Yuanjin Zheng. “Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution.” IEEE Transactions on Medical Imaging 41 (2022): 3636–3648.
Under Review
- “Physics-Guided Proximal Diffusion Sampling with Learned Consistency Weighting for Photoacoustic Microscopy Enhancement.” IEEE Transactions on Image Processing, under review.
- “Real-Time Imaging Enhancement for Portable Medical Ultrasound via Unsupervised Latent Diffusion Model.” IEEE Transactions on Image Processing, under review.
- “Unsupervised Physics-Driven Generative Model for Adaptive Photoacoustic Microscopy Enhancement.” IEEE Transactions on Image Processing, under review.
Conference Papers
- Miao Sun, Zhengyuan Zhang, Jie Ma, Boyi Dong, Yange Wang, Zhongzhiguang Lu, and Yuanjin Zheng. “The Photoacoustic Quality-Enhancement Neural Network Processor with the Scalable and End-to-End Architecture by Improving the Sparsity Level.” IEEE International Symposium on Circuits and Systems (ISCAS), 2025.ORAL
- Tiancheng Cao, Zhengyuan Zhang, Shuailin Tao, Chen Liu, Wang Ling Goh, Yuanjin Zheng, and Yuan Gao. “Neuromorphic FeRAM-Based Co-Design for Imaging Enhancement in Handheld Photoacoustic Systems.” IEEE International Symposium on Circuits and Systems (ISCAS), 2025.ORAL
- Zhengyuan Zhang, Wenwen Zhang, Haoran Jin, Zesheng Zheng, and Yuanjin Zheng. “Plug and Play Prior Regularized Algorithm for Acoustic Resolution Photoacoustic Microscopy Bioimaging System Enhancement.” IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.POSTER
- Zhengyuan Zhang, Haoran Jin, Zesheng Zheng, and Yuanjin Zheng. “Learning-Based Algorithm for Real Imaging System Enhancement: Acoustic Resolution to Optical Resolution Photoacoustic Microscopy.” IEEE International Symposium on Circuits and Systems (ISCAS), 2022.ORAL
- Zhengyuan Zhang, Haoran Jin, Zesheng Zheng, and Yuanjin Zheng. “Super Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement.” IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022.ORAL
- Zhengyuan Zhang, Haoran Jin, Zesheng Zheng, Yunqi Luo, and Yuanjin Zheng. “Photoacoustic Microscopy Imaging from Acoustic Resolution to Optical Resolution Enhancement with Deep Learning.” IEEE International Symposium on Circuits and Systems (ISCAS), 2021.ORAL
Thesis
- Zhengyuan Zhang. “Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement: Learning Based and Model Based Approaches.” Ph.D. thesis, Nanyang Technological University, Singapore, 2024.
Research
Projects I have led or worked on, most recent first.
Diffusion Model-Based Ultrasound Imaging Enhancement
- Proposed UNIT-LDM, a two-stage unsupervised framework that aligns portable and high-end ultrasound images in a shared latent space, then refines them with latent diffusion guided by a self-supervised edge condition that preserves anatomy.
- Distilled the 50-step diffusion sampler into a few-step student network, raising throughput to 32.3 FPS, above the 24 FPS native scan rate of the portable device, while giving the strongest structural preservation among compared methods on carotid ultrasound.
- Proposed SonoSDE, an unsupervised score-based diffusion framework that enhances handheld ultrasound images toward high-end clinical quality without paired training data.
- Designed physics-guided experts for SonoSDE: a Realistic Expert that matches frequency spectrum, speckle statistics and texture, and a training-free Faithful Expert based on Log-Gabor filters and phase congruency that preserves anatomy.
Related: IEEE TIP (under review)
Real-Time Handheld Photoacoustic Imaging Enhancement with Hardware Acceleration
- Developed a real-time enhancement platform for a handheld photoacoustic imaging system, running a ternary-quantized MultiResU-Net on a FeRAM crossbar array for in-memory computing.
- Proposed a fast crossbar charging model that accounts for line and parasitic conductance, enabling hardware-aware training.
- Validated the platform in vivo: lateral resolution improved from 850 µm to 78 µm, network inference finished within microseconds, and 30 Hz real-time imaging was kept.
Related: IEEE TBCAS 2025 · ISCAS 2025
Model-Based Photoacoustic Imaging Enhancement
- Developed the degradation model of acoustic-resolution photoacoustic microscopy.
- Designed a deep CNN denoiser prior and its optimization scheme to enhance imaging results.
- Designed a joint group sparsity and deep prior model with an adaptive optimization scheme.
Related: Photoacoustics 2023 · IEEE TIP 2025 · BioCAS 2023
Learning-Based Photoacoustic Imaging Enhancement
- Developed the degradation model of photoacoustic imaging for training data synthesis.
- Used GAN-based learning to achieve realistic, high-resolution imaging enhancement.
- Employed a Dual Branch Gated Fusion Network to improve imaging resolution and speed together.
Related: IEEE TMI 2022 · IEEE TCI 2025 · ISCAS 2021 · ISCAS 2022 · BioCAS 2022
Target Capturing Based on Computer Vision
- Used a binocular stereo camera to extract the position and orientation of the target.
- Reconstructed the 3D model of the target with structure from motion.
- Detected the handle and nozzle of the object for manipulator capturing.
Target Manipulation Based on Impedance Control
- Developed the communication program between the force/torque sensor and the controller.
- Modeled the kinematics and dynamics of the manipulator and developed an impedance control strategy.
- Simulated the controller in Simulink and verified the algorithm on a real manipulator.
Teaching & Service
Course Teaching
Lecturer of this postgraduate course at the Wee Kim Wee School of Communication and Information, NTU. AY2026/27 Semester 1, 13 weeks, one 3-hour class per week.
Student Co-supervision
Master’s dissertations, NTU
- Yang Sijin (2025)
- Zhengke Sun (2024)
- Ze Feng (2023), Yudi Zhang (2023)
- Chenyang Liu (2022), Zeliang Hao (2022)
- Yibing Duan (2021), Xiaoshi Sun (2021)
Bachelor’s final year projects, NTU
- Joey Tee Hui Xing (2026)
- Leyi Li (2025)
- Jing Lin Ong (2024)
- Yu Myat Noe Oo (2023)
- Potipireddi Sai Pratyusha (2022), Muralidharan Vaishnavi (2022)
- Su Wai Wai Zin (2021)
Reviewer Service
Journal reviewer since 2021 for:
- IEEE Transactions on Multimedia
- IEEE Sensors Journal
- Neurocomputing
- Photoacoustics
CV
Education
Nanyang Technological University, Singapore. Supervisor: Prof. Yuanjin Zheng. GPA 4.75/5.0.
Harbin Institute of Technology, Harbin, China. Supervisors: Academician Hong Liu (Member of the Chinese Academy of Engineering) and Prof. Minghe Jin. GPA 88.5/100, top 10%.
Harbin Institute of Technology, Harbin, China. Supervisors: Academician Hong Liu (Member of the Chinese Academy of Engineering) and Prof. Minghe Jin. GPA 90.47/100, rank 22/237.
Work Experience
College of Computing and Data Science and Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Working with Prof. Fan Xiuyi.
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Worked with Prof. Yuanjin Zheng.
Awards
Full Scholarship for NTU Ph.D. (4 years)
First-Class Scholarship, Harbin Institute of Technology
Engineering Leadership Program, Harbin Institute of Technology (10/237)
First-Grade Scholarship, Harbin Institute of Technology (4/237)
First-Grade Scholarship, Harbin Institute of Technology (11/237)
Skills
Python, PyTorch, TensorFlow, OpenCV, MATLAB, C/C++, Vivado HLS, Verilog
Computational imaging, image restoration, inverse problems, model-based image processing, SLAM, machine learning, deep learning, matrix analysis, convex optimization, probability and statistics, hardware acceleration
Image Analysis & Pattern Recognition, Machine Vision, Computer Networks, Data Structures & Algorithms, Computer Architecture & Acceleration for Machine Learning, Operating Systems
Mandarin (native), English (fluent), German (fluent)