Academic and Teaching Staff

Dr Hui Zhang received the Ph.D. degree at Quantum Science & Engineering Centre, Nanyang Technological University, Singapore. Prior to that, she received the B.Eng. degree in the Elite class named after Hsue-Shen Tsien from Xi’an Jiaotong University, China. Her research interests include photonic integrated circuits for neural networks, quantum machine learning, and AI in science. In recent years, she has developed the complex-valued photonic neural network architecture, a gradient-free on-chip training method for photonic neural networks, and the quantum autoencoder facilitated teleportation protocol with few-shot learning mechanisms. Her works are published in top-tier journals like Science Advances, Nature Communications, Laser & Photonics Reviews, etc.

Representative publications in recent 5 years:

1. Hui Zhang, et al, An Optical Neural Chip for Implementing Complex-Valued Neural Network, Nature Communications, 12, no. 457, 2021. (Google Scholar citation: 440)
2. Hui Zhang, et al, Resource-Efficient High-Dimensional Subspace Teleportation with A Quantum Autoencoder, Science Advances, vol. 8, no. 40, 2022.
3. Hui Zhang, et al, Molecular property prediction with photonic chip-based machine learning, Laser & Photonics Reviews, vol. 17, no. 2200698, 2023.
4. Hui Zhang, et al, Encoding error correction in an integrated photonic chip, PRX Quantum 4, 030340, 2023.
5. Hui Zhang, et al, Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm, ACS Photonics, vol. 8, no. 6, pp. 1662-1667, 2021. (Cover)
6. Hui Zhang, et al, Efficient option pricing with unary-based photonic computing chip and generative adversarial learning, Photonics Research, vol. 11, no. 10, pp. 1703-1712, 2023. (Editor’s pick and Cover)
7. Hui Zhang, et al, Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 6974–6983, 2021.
8. (Shared 1^st authorship) Zhenyu Li#, Hui Zhang#, et al, Smart Ring Resonator–Based Sensor for Multicomponent Chemical Analysis via Machine Learning, Photonics Research, vol. 9, no. 2, pp. B38-B44, 2021.

• Ph.D., Nanyang Technological University
• B.Eng., Xi'an Jiaotong University