教育经历：2016 - 2021，新加坡南洋理工大学，博士
2012 - 2016，西安交通大学钱学森实验班，学士

工作经历：2024 – 至今，同济大学887700葡京线路检测-887700葡京线路检测，教授
2023 - 2024，香港理工大学，助理教授（研究）
2021 - 2023， 新加坡南洋理工大学，博士后

研究方向主要集中在光子集成芯片、光子神经网络、量子计算和量子机器学习。

研究内容具体包含三个方面：
1. 聚焦新型光子材料与器件的开发，高效、多功能光子集成芯片的设计及其在智能传感、计算中的应用；

2. 构建新型光子神经网络模型、优化其性能和规模，探索其在自然语言处理、机器视觉等人工智能任务中的应用；

3. 开发结合量子计算与机器学习的新算法和应用，利用机器学习解决量子计算难题，或利用量子特性加速数据处理和模式识别，实现在处理大规模、复杂数据集时的性能优势、推动智能决策和预测能力的提升。

获奖：

2023年 ，入选国家级高层次青年人才计划

2023年，入选上海市领军人才（海外）青年项目
2023年，入选上海市浦江人才计划
2021年，国家优秀自费留学生奖学金

荣誉：

1. Hui Zhang, Mile Gu, Xudong Jiang, Jayne Thompson, Hong Cai, Stefano Paesani, Raffale Santangati, Anthony Laing, Yi Zhang, Man-Hong Yung, Yuzhi Shi, Faeyz Karim Muhammad, Guo-Qiang Lo, Xianshu Luo, Dim-Lee Kwong, Leong Chuan Kwek, and Ai Qun Liu, An Optical Neural Chip for Implementing Complex-Valued Neural Network, Nature Communications, vol. 12, no. 457, 2021. (Google scholar citation: 645)

2. Hui Zhang, Lingxiao Wan, Tobias Haug, Wai-Keong Mok, Stefano Paesani, Yuzhi Shi, Hong Cai, Lip Ket Chin, Faeyz Karim Muhammad, Limin Xiao, Xianshu Luo, Feng Gao, Bin Dong, Syed Assad, Myungshik Kim, Anthony Laing, Leong Chuan Kwek, and Ai Qun Liu, Resource-Efficient High-Dimensional Subspace Teleportation with A Quantum Autoencoder, Science Advances, vol. 8, no. 40, 2022.

3. Hui Zhang, Henghui Ding, Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 2021, pp. 6974–6983.

4. Hui Zhang, Jonathan Wei Zhong Lau, Lingxiao Wan, Liang Shi, Hong Cai, Xianshu Luo, Patrick Lo, Chee-Kong Lee, Leong-Chuan Kwek, and Ai Qun Liu, Molecular property prediction with photonic chip-based machine learning, Laser & Photonics Reviews, vol. 17, no. 2200698, 2022.

5. Hui Zhang, Lingxiao Wan, Stefano Paesani, Anthony Laing, Yuzhi Shi, Hong Cai, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, and Ai Qun Liu, Encoding error correction in an integrated photonic chip, PRX Quantum vol. 4, no. 030340, 2023.

6. Hui Zhang, Jayne Thompson, Mile Gu, Xudong Jiang, Hong Cai, Patricia Yang Liu, Yuzhi Shi, Yi Zhang, Faeyz Karim Muhammad, Guo-Qiang Lo, Xianshu Luo, Bin Dong, Leong Chuan Kwek, and Ai Qun Liu, Efficient On-Chip Training of Optical Neural Networks Using Genetic Algorithm, ACS Photonics, vol. 8, no. 6, pp. 1662-1667, 2021. (Supplementary Cover)

7. Hui Zhang, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, and Ai-Qun Liu, 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 front cover)

8. Yuancheng Zhan#, Hui Zhang*#, Hexiang Lin, Lip Ket Chin, Hong Cai, Muhammad Faeyz Karim, Daniel Puiu Poenar, Xudong Jiang, Man-Wai Mak, Leong Chuan Kwek, Ai Qun Liu*, Physics-Aware Analytic-Gradient Training of Photonic Neural Networks, Laser & Photonics Reviews, no. 2300445, 2024. (#Co-first and *corresponding authorship)

9. Zhenyu Li#, Hui Zhang#, Binh Thi Thanh Nguyen, Shaobo Luo, Patricia Yang Liu, Jun Zou, Yuzhi Shi, Hong Cai, Zhenchuan Yang, Yufeng Jin, Yilong Hao, Yi Zhang, and Ai Qun Liu, Smart Ring Resonator–Based Sensor for Multicomponent Chemical Analysis via Machine Learning, Photonics Research, vol. 9, no. 2, pp. B38-B44, 2021. (#Co-first authorship) 

10. Heng Chen#, Hui Zhang#, Jing Zhou, Chen Ma, Qian Huang, Hanxing Wang, Qinghua Ren, Nan Wang, Chengkuo Lee, and Yiming Ma, High-Performance and Wavelength-Transplantable On-Chip Fourier Transform Spectrometer Using MEMS In-Plane Reconfiguration, Photonics Research, doi: 10.1364/PRJ.521439, 2024. (#Co-first authorship)

11. Wai-Keong Mok#, Hui Zhang#, Tobias Haug, Xianshu Luo, Guo-Qiang Lo, Hong Cai, M. S. Kim, Ai Qun Liu, Leong-Chuan Kwek, Rigorous noise reduction with quantum autoencoders, AVS Quantum Science, vol. 6, no. 023803, 2024. (#Co-first authorship)

12. Yiming Ma, Weixin Liu, Xinmiao Liu, Nan Wang, Hui Zhang*, Reivew of sensing and actuation technologies - from optical MEMS and nanophotonics to photonic nanosystems, International Journal of Optomechatronics, vol. 18, no. 2342279, 2024.(*Corresponding authorship)

13. Yuan Li#, Lin Cao#, Wei Luo#, Hui Zhang*, Hong Cai*, Muhammad Faeyz Karim*, Feng Gao, Joseph Fitzsimons, Qinghua Song*, and Ai-Qun Liu*, Experimental Quantum Homomorphic Encryption Using a Quantum Photonic Chip, Physical Review Letters, vol. 132, no. 200801, 2024. (*Corresponding authorship)

14. Huihui Zhu, Jun Zou, Hui Zhang, Yuzhi Shi, Shaobo Luo, Nan Wang, Hong Cai, Lingxiao Wan, Bo Wang, Xudong Jiang, Jayne Thompson, Xianshu Luo, Xiaohong Zhou, Limin Xiao, Wei Huang, Patrick Guo-Qiang Lo, Mile Gu, Leong Chuan Kwek, and Ai Qun Liu, Space-Efficient Optical Computing with An Integrated Chip Diffractive Neural Network, Nature Communications, vol. 13, no. 1044, 2022.

15. Henghui Ding, Hui Zhang, Chang Liu, and Xudong Jiang, Deep Interactive Image Matting with Feature Propagation, IEEE Transactions on Image Processing, vol. 31, pp. 2421-2432, 2022.

16. Wei Luo, Lin Cao, Yuzhi Shi, Lingxiao Wan, Hui Zhang, Shuyi Li, Guanyu Chen, Yuan Li, Sijin Li, Yunxiang Wang, Shihai Sun, Muhammad Faeyz Karim, Hong Cai, Leong Chuan Kwek, Ai Qun Liu, Recent progress in quantum photonic chips for quantum communication and internet, Light: Science & Applications, vol. 12, 175, 2023.