CV

Research Interests

Ph.D. in Integrated Life Sciences (physics), Peking University, 2026 (expected)
- Advisor: Dr. Yunzhe Liu
B.S. in Computer Science (with honors), Wuhan University, 2021
- GPA: 3.84/4.00 (92.1/100)
- Rank: 2/32 (selected from 363 students in School of Computer Science, Wuhan University)
- Exchange: Visiting Studnet at University of California, Berkeley (2019 summer)

Peking University, Beijing, China, Research Assistant, Jan. 2022 - Dec. 2022
- Advisor: Dr. James Whittington & Dr. Yunzhe Liu
- Researched the role of replay for memory consolidation.
- Build a machine replicate the replay observed in both human and rodent.
Peking University, Beijing, China, Research Assistant, Mar. 2021 - Aug. 2021
- Advisor: Dr. Si Wu
- Researched the global to local information processing.
- Analyzed the dynamics of the neural network model with gap junction.
Tsinghua University, Beijing, China, Research Assistant, May. 2020 - Aug. 2020
- Advisor: Dr. Bin Liu
- Researched the real-time processing of autonomous driving in the Internet of Vehicles.
- Designed efficient algorithms for the novel TCAM-NMC in-network accelerator, which accelerates the MEC-assisted similar 3D object detection for autonomous driving.
Wuhan University, Wuhan, China, Research Assistant, Feb. 2020 - Apr. 2020
- Advisor: Dr. Haojun Ai
- Researched transfer learning in Air-Writing.
- Developed a system that could transfer between different people.

Outstanding Graduate (12 out of 127, 10%), Wuhan University, Apr. 2021
National Scholarship, Wuhan University, Oct. 2020
Excellent Student Scholarship (Rank: 1/32), Wuhan University, Oct. 2020
National Second Prize of FPGA Innovation Design Competition, China, Dec. 2019
National Second Prize of Intelligent Robot Fighting Competition, China, Oct. 2019
Excellent Student Scholarship (Rank: 4/32), Wuhan University, Oct. 2019
Excellent Student Scholarship (Rank: 8/32), Wuhan University, Oct. 2018
Freshman Scholarship, Wuhan University, Oct. 2017

Zhongtao Chen*, Hui Zheng*, Jianyang Zhou*, Lin Zheng*, Peiyang Lin, Haiteng Wang, Raymond Dolan, Tim Behrens and Yunzhe Liu, “Interpreting Sleep Activity Through Neural Contrastive Learning,” in submission to Nature Neuroscience, 2025.
Hui Zheng*, Zhongtao Chen*, Haiteng Wang, Jianyang Zhou, Lin Zheng, Peiyang Lin and Yunzhe Liu, “SI-SD: Sleep Interpreter through awake-guided cross-subject Semantic Decoding,” in submission IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

Hui Zheng*, Haiteng Wang*, Weibang Jiang, Zhongtao Chen, Li He, Peiyang Lin, Penghu Wei, Guoguang Zhao and Yunzhe Liu, “Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural Signals,” in Advances in Neural Information Processing Systems (NeurIPS), 2024.

Wenquan Xu, Haoyu Song, Linyang Hou, Hui Zheng, Xinggong Zhang, Chuwen Zhang, Wei Hu, Yi Wang and Bin Liu, “SODA: Similar 3D Object Detection Accelerator at Network Edge for Autonomous Driving,” in IEEE International Conference on Computer Communications (INFOCOM), 2021.

Yunzhe Li*, Hui Zheng*, He Zhu*, Haojun Ai and Xiaowei Dong, “Cross-People Mobile-Phone Based Airwriting Character Recognition,” in International Conference on Pattern Recognition (ICPR), 2020.