程珍

程珍，博士，教授。2010年6月博士毕业于华中科技大学控制科学与工程系，2010年7月至今在浙江工业大学计算机学院从事教学和科研工作。研究方向为纳米物联网，分子通信，人工智能。主持国家自然科学基金面上项目2项、浙江省自然科学基金3项。以第一作者在IEEE Transactions on NanoBioscience、IEEE Transactions on Molecular, Biological and Multi-scale Communications、IEEE Internet of Things Journal、IEEE Sensors Journal、IEEE Communication Letters、Nano Communication Networks等国际期刊上发表SCI、EI收录论文40余篇。

• 主讲《离散数学》、《Java程序设计》等课程。所授课程获得校“优课优酬”奖励十余次。

1. 基于分子通信的智能感知与多目标协同定位跟踪研究(62671557)，国家自然科学基金面上项目，2027.01-2030.12，在研，主持

2. 面向纳米网络的协作式移动分子通信技术及其理论研究(62271446)，国家自然科学基金面上项目，2023.01-2026.12，在研，主持

3. 面向靶向药物递送的移动分子通信技术及其理论研究(LY23F020021)，浙江省自然科学基金面上项目，2023.01-2024.12，已结题，主持

4. 基于扩散的分子通信技术及其理论研究(LY19F020029)，浙江省自然科学基金面上项目，2019.01-2021.12，已结题，主持

5. 面向纳米网络的分子通信理论与关键技术研究(LY15F020029)，浙江省自然科学基金面上项目，2015.01-2017.12，已结题，主持

6. 基于生物计算的密码分析关键理论与方法研究(61202204)，国家自然科学青年基金项目，2013.01-2015.12，已结题，主持

7. 无源感知网络基础理论与关键技术(61432015)，国家自然科学基金重点项目，2015.01-2019.12，已结题，参加

[1] Zhen Cheng, Miaodi Chen, Ming Xia, Qu Li, Kaikai Chi, and Xinwei Yao. Channel Modeling for Mobile Molecular Communication with Anomalous Diffusion by Deep Neural Network. IEEE Transactions on NanoBioscience. 2026.

[2] Zhen Cheng, Ziyan Xu, Yi Luo, Ming Xia, Kaikai Chi, and Xinwei Yao. Target Detection and Localization for Mobile Molecular Communication by Deep Learning Methods. IEEE Transactions on NanoBioscience, 2026.

[3] Yi Luo(本科生), Zhen Cheng and Kaikai Chi. An Enformer-based Time Series Approach for ReceiverLocalization in Mobile Molecular Communication with Anomalous Diffusion. IEEE Transactions on NanoBioscience, 2026.

[4] Zhen Cheng, Jianlong Zheng, Yi Luo, Ming Xia, Xinwei Yao, Yongliang Zhang. Deep Learning-Based Estimation of Distance and Emission Time in Mobile Molecular Communication. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. 2026.

[5] Yuqing Lei(本科生), Zhen Cheng, Ming Xia, Xinwei Yao, Qu Li. Deep Learning-based Signal Detection with Denoising and Temporal Sequence Structuring for Molecular Communication in Vessel-like Channels. IEEE Internet of Things Journal. 2026.    

[6] Zhen Cheng, Heng Liu, Ziyan Xu, Jiaxin Li, Kaikai Chi. Deep Learning-based Estimation of Emission Time and Arrival Time in Diffusive Multi-Receiver Molecular Communication. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. 2025, 11(2): 257-268.

[7] Zhen Cheng, Zhichao Zhang, Heng Liu, Dongliang Jing, Weihua Gong, and Kaikai Chi. Neural Network with Attention Mechanism for Abnormality Detection and Localization in Diffusive Molecular Communication. IEEE Transactions on NanoBioscience. 2025, 24(2): 257-267.

[8] Zhen Cheng, Heng Liu, Miaodi Chen, Weihua Gong, and Kaikai Chi. Localizing and Tracking the Transmitter Bionanosensor in Mobile Molecular Communication by Deep Learning. IEEE Sensors Journal. 2025, 25(7): 10583-10593

[9] Zhen Cheng, Zhichao Zhang, Jie Sun. Signal Detection of Cooperative Multi-Hop Mobile Molecular Communication via Diffusion. IEEE Transactions on Molecular, Biological and Multi-Scale Communications. 2024, 10(1): 101-111.

[10] Zhen Cheng, Jun Yan, Jie Sun, Shubin Zhang, and Kaikai Chi. Resource Allocation Optimization in Mobile Multiuser Molecular Communication by Deep Neural Network. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. 2024, 10(3), 409-421.

[11] Zhen Cheng, Jie Sun, Zhichao Zhang, Ming Xia, and Kaikai Chi. Optimization of Detection Interval for Mobile Multiuser Molecular Communication with Anomalous Diffusion in Internet of Nano Things. IEEE Internet of Things Journal, 2024, 11(5): 8590-8603.

[12] Zhen Cheng, Zhichao Zhang, Xuancheng Jin, Weihua Gong, and Kaikai Chi. An Informer-based Signal Sequence Detector for Mobile Molecular Communication. IEEE Communication Letters. 2024, 28(6): 1397-1401.

[13] Xuancheng Jin (本科生), Zhen Cheng, Miaodi Chen, Heng Liu, Weihua Gong, and Kaikai Chi. Transformer-based Receiver Localization in Vessel-like and Flow-induced Molecular Communication via Diffusion. IEEE Communication Letters. 2024, 28(10): 2283-2287.

[14] Zhen Cheng, Miaodi Chen, Heng Liu, Ming Xia, Weihua Gong. Channel modeling for diffusion-based molecular MIMO communications using deep learning. Nano Communication Networks. 2024, 42, Article 100543.

[15] Xuancheng Jin (本科生), Zhen Cheng, Jie Sun. Emission Rate Optimization in Diffusion-based Molecular Communication Among Mobile Bacteria. Nano Communication Networks. 2024, 39, Article 100490.

[16] Xuancheng Jin (本科生), Zhen Cheng, Zhian Ye, Weihua Gong. Optimizations of Multi-hop Cooperative Molecular Communication in Cylindrical Anomalous-Diffusive Channel. KSII Transactions On Internet and Information Systems. 2024, 28(10): 2283-2287

[17] Zhen Cheng, Heng Liu, Miaodi Chen, Zhichao Zhang.  Machine Learning-Based Detection Time Estimation for Molecular Communication. 15th EAI International Conference on Bio-inspired Information and Communications Technologies, QuZhou, China, August 14-16, 2024.

[18] Zhen Cheng, Zhichao Zhang, Ji Jiang, Jie Sun. Signal Detection of Mobile Multi-user Molecular Communication System Using Transformer-based Model. International Conference on Computer and Communication Systems, ICCCS, April 2023, pp.85-90.

[19] Zhen Cheng, Jie Sun, Zhichao Zhang, Ping Hu, and Kaikai Chi. Channel Modeling and Optimal Released Molecules for Mobile Molecular MIMO Communications among Bionanosensors. IEEE Sensors Journal, 2023, 23(19): 22139-22152.

[20] Zhen Cheng, Zhichao Zhang, Jie Sun. Cooperative Relaying in Multi-hop Mobile Molecular Communication via Diffusion. 14th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2023 Okinawa, Japan, April 11-12, 2023.

[21] Zhen Cheng, Jun Yan, Yuchun Tu, Kaikai Chi, Ming Xia. Mobile Two-Way Molecular Communication via Diffusion Using Amplify-and-Forward and Analog Network Coding. IEEE Transactions on NanoBioscience, 2022, 21(2), 273-285.

[22] Zhen Cheng, Jun Yan, Jie Sun, Yuchun Tu, and Kaikai Chi. Joint Optimizations of Relays Locations and Decision Threshold for Multi-hop Diffusive Mobile Molecular Communication with Drift. IEEE Transactions on NanoBioscience, 2022, 21(3), 454-465.

[23] Zhen Cheng, Yuchun Tu, Kaikai Chi, Ming Xia. Optimization of Decision Thresholds in Two-Way Molecular Communication via Diffusion with Network Coding. IEEE Transactions on Molecular, Biological and Multi-scale Communications. 2022, 8(4): 249-262.

[24] Zhen Cheng, Yuchun Tu, Jun Yan, Yanjing Lei. Amplify-and-Forward Relaying in Mobile Multi-Hop Molecular Communication via Diffusion. Nano Communication Networks. 2021, 30, Article 100375.

[25] Zhen Cheng, Yuchun Tu, Ming Xia, Kaikai Chi. Energy Efficiency Analysis of Multi-hop Mobile Molecular Communication via Diffusion. Nano Communication Networks. 2020, 26, Article 100313.

[26] Zhen Cheng, Yuchun Tu, Ming Xia, Kaikai Chi. Sum Capacity Analysis of Mobile Broadcast Diffusive Molecular Communication. Nano Communication Networks. 2020, 26, Article 100314.

[27] Zhen Cheng, Yiming Zhang, Huiting Zhao, Fei Lin, Kaikai Chi. Energy Model for Synaptic Channel in Neuro-spike Communication. Nano Communication Networks. 2019, 19: 102-109.

[28] Zhen Cheng, Yiming Zhang, Ming Xia. Performance Analysis of Multiuser Diffusive Mobile Molecular Communication with Drift. IEEE Transactions on Molecular, Biological and Multi-scale Communications. 2018, 4(4): 237-247.