黄科杰，男，博士生导师。于2003年和2006年在浙江大学信息与电子工程学院先后获得本科学位和硕士学位，2014年在新加坡国立大学电子与计算机工程系获得博士学位。2016年10月以“百人计划”研究员的身份加入浙江大学信息与电子工程学院。在集成电路设计、存储器内计算、以及智能硬件方面有十多年的工作与研究经验。主要研究方向包括低功耗存算处理器，光电耦合计算，深度学习与硬件加速，片上网络硬件架构，FPGA硬件架构，以及智能感知，视频/图像压缩，压缩感知，视频/图像生成，医疗数据分析等。他目前已经在IEEE TCAS-I, IEEE TCAS-II，IEEE TCSVT, IEEE TMM, IEEE TVLSI，IEEE TNANO, Advanced Material, EDL, AMI, SMALL和AAAI, WACV, SOCC, ISCAS等国际期刊和会议上发表高水平学术论文70余篇，获得美国专利4项，美国专利申请4项，中国专利40余项，PCT 3项。同时他是IEEE TCASII的Associate Editor, IEEE高级会员。

本实验室长期招收博士后和研究助理。对深度学习加速、密码加速、存内计算和人工智能算法有兴趣的同学，欢迎前来联系与咨询。

现开设课程：

春夏学期 计算机组成与系统结构

冬学期 人工智能硬件设计

现参与授课：

秋冬学期 电子科学与技术学科前沿

曾开课或参与开课情况：

2019 ECE411 "Computer Organization and Design" at ZJUI

2019 ECE110 "Introduction to Electronics" at ZJUI

2017 ECE120 "Introduction of Computing" at ZJUI

2015 ‘Design and Fabrication of MEMS’ at SUTD

2015 ‘Digital Integrated Circuits Design’ at SUTD

1. 神经网络加速器

主要研究神经网络轻量化设计方法和对应硬件加速器架构和芯片的研制，获得多个项目的资助。主要包括以下三个研究内容：（1）硬件友好的轻量化神经网络编码和模型优化；（2）高能效轻量化神经网络加速器架构设计和芯片实现；（3）轻量化神经网络加速器工具链开发。

2. 感存算一体芯片设计

       主要研究高可靠性存算阵列和高能效感存算一体化芯片架构，获得多个项目的资助。主要包括以下三个研究内容：(1)高可靠性超低功耗存算阵列电路设计；（2）高灵活性存算一体硬件架构设计和芯片实现；（3）光电耦合感算一体架构设计与芯片实现。

3. 后量子密码（PQC）安全处理芯片

主要研究面向PQC算法的处理器芯片架构和安全防护IP开发，获得多个项目的资助。主要包括以下三个研究内容：（1）软硬件协同高能效后量子密码处理器架构设计与芯片实现；（2）高能效噪声源IP设计与实现；（3）高能效安全防护传感器IP设计与实现。

4. 人工智能算法应用研究

       主要研究基于深度学习的算法在实际场景中的应用与实现，获得多个项目的资助。主要包括以下两个研究内容：（1）人工智能算法在医疗影像/医学信号处理与分析上的应用，包括医疗影像分割、癫痫分析与预测等；（2）计算机视觉图像处理，包括去噪、分割、目标检测、图像生成等。

Journal

2022

J45 Ruifeng Zheng; Kejie Huang; Haibin Shen; Liyuan Ma.  "Continuous Volumetric Convolution Network with Self-learning Kernels for Point Clouds". IEEE Transactions on Consumer Electronics, 2022.

J44 Ruifeng Zheng, Ying Zhong, Senxiang Yan, Hongcheng Sun, Haibin Shen, Kejie Huang. "MsVRL: Self-supervised Multi-scale Visual Representation Learning via Cross-level Consistency for Medical Image Segmentation", IEEE Transactions on Medical Image (TMI), 2022.

J43 Zewen Ye, Ray C.C. Cheung, Kejie Huang. "PipeNTT: A Pipelined Number Theoretic Transform Architecture", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—II: EXPRESS BRIEFS (TCASII), 2022.

J42 Dongxu Wei, Kejie Huang, Liyuan Ma, Jiashen Hua, Baisheng Lai, Haibin Shen. "OAW-GAN: occlusion-aware warping GAN for unified human video synthesis", Applied Intelligence, 1-18, 2022/4/20.

J41 Ruibing Song, Kejie Huang, Zongsheng Wang, Haibin Shen. "A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022/5/30.

J40 Yewei Zhang, Kejie Huang, Rui Xiao, Haibin Shen. "An 8-bit In Resistive Memory Computing Core with Regulated Passive Neuron and Bit Line Weight Mapping", IEEE Trans. VLSI Systems  (TVLSI), 30 (4), 379-391, 2022/1/21.

J39 Zhenghua Hu, Jibiao Zhou, Kejie Huang, Enyou Zhang. "A Data-Driven Approach for Traffic Crash Prediction: A Case Study in Ningbo, China", International Journal of Intelligent Transportation Systems Research, 1-11, 2022/6/1.

2021

J38 K Zhou, Y He, R Xiao, J Liu, K Huang. A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow. IEEE Trans. on Circuits and Systems II: Express Briefs (TCASII) 2021/12/13

J37 Liyuan Ma, Kejie Huang, Dongxu Wei, Zhao-Yan Ming, Haibin Shen. FDA-GAN: Flow-based Dual Attention GAN for Human Pose Transfer. IEEE Transactions on Multimedia. 2021/12/9.

J36 Jinyin Chen, Duanjie Zhang, Xiang Lin, Zhaoyan Ming, Kejie Huang. GraphAttacker：A General Multi-Task Graph Attack Framework. IEEE Trans. Network Science and Engineering (TNSE). 2021/11/15

J35 Xiaoxin Hao, Fengji Geng, Tengfei Wang, Yuzheng Hu, Kejie Huang. Relations of Creativity to the Interplay Between High-order Cognitive Functions: Behavioral and Neural Evidence. Neuroscience. 473, pp. 90-101, 2021/10/1.

J34 Yuan-Xing Liu, Xi Liu, Chao Cen, Xin Li, Ji-Min Liu, Zhao-Yan Ming, Song-Feng Yu, Xiao-Feng Tang, Lin Zhou, Jun Yu, Ke-Jie Huang, Shu-Sen Zheng. Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease: An extended study. Hepatobiliary & Pancreatic Diseases International. 20(5), pp. 409-415, 2021/10/1.

J33 Zhenghua Hu, Kejie Huang, Enyou Zhang, Qiang Ge, Xiaoxue Yang. Rebalancing Strategy for Bike-Sharing Systems Based on the Model of Level of Detail. Journal of Advanced Transportation. 2021/9/27.

J32 Chengjie Fu, Xiaolei Zhu, Kejie Huang, Zheng Gu. An 8-bit Radix-4 Non-Volatile Parallel Multiplier. Electronics. 10(19), pp. 2358, 2021/1.

J31 Jiahui Kong, Haibin Shen, Kejie Huang, “DualPathGAN: Facial reenacted emotion synthesis”, IET Comput. Vis. 2021;1–13.

J30 Ziqun Zhou, Kejie Huang, Yue Qiu, Haibin Shen, Zhaoyan Ming. Morphology extraction of fetal electrocardiogram by slow-fast LSTM network. Biomedical Signal Processing and Control. 68, pp. 102664, 2021/7/1.

2020

J29. Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao. "A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video". IEEE Transactions on Circuits and Systems for Video Technology, 2020.

J28. Difei Zeng, Kejie Huang, Cenglin Xu, Haibin Shen, Zhong Chen. "Hierarchy Graph Convolution Network and Tree Classification for Epileptic Detection on Electroencephalography Signals". IEEE Trans. Cognitive and Developmental Systems, 2020.

J27. Dongxv Wei, Xiaowei Xu, Haibin Shen, and Kejie Huang. "GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer". IEEE Trans. Multimedia, 2020. 

J26. C Zhu, K Huang, S Yang, Z Zhu, H Zhang, H Shen. "An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs".  IEEE Trans. VLSI Systems (TVLSI), 2020.

J25. Sai Zhang, Kejie Huang*, Haibin Shen. "A Robust 8-bit Non-Volatile Computing-In-Memory Core for Low-Power Parallel MAC Operations". IEEE Trans. on Circuits and Systems I: Regular Paper (TCASI), 67 (6), 1867-1880, 2020.

J24. Zhongtian Yao, Kejie Huang*, Haibin Shen, and Zhaoyan Ming. "Deep Neural Network Acceleration With Sparse Prediction Layers." IEEE Access 8 (2020): 6839-6848.

2019

J23. Ruizhen Wang, Kejie Huang*, Haibin Shen, Feng Xiao. "Hybrid iris center localization method using cascaded regression, weighted averaging, and weighted snakuscule". Optical Engineering, 2019.

J22. Yifan Chu, Haibin Shen, Kejie Huang*. "ECG Authentication Method Based on Parallel Multi-scale One-dimensional Residual Network with Center and Margin Loss". IEEE Access, pp. 51598-51607, 23 April 2019. [DOI]  

2018

J21. Yishu Zhang; Wei He; Yujie Wu; Kejie Huang; Yangshu Shen; Jiasheng Su; Yaoyuan Wang; Ziyang Zhang; Xinglong Ji; Guoqi Li; Hongtao Zhang; Sen Song; Huanglong Li; Litao Sun; Rong Zhao; Luping Shi. "Highly Compact Artificial Memristive Neuron with Low Energy Consumption". Small. 14 (51), 1802188, 14 November 2018. [DOI]

J20. Feng Xiao, Dandan Zheng, Kejie Huang, Yue Qiu, Haibin Shen. "An Accurate Regression-based Gaze Tracking System with A Single Camera". Journal of Eye Movement Research (JEMR), 11 (4), 2018.  [PDF]

J19. Feng Xiao, Kejie Huang*, Yue Qiu, Haibin Shen. "Accurate Gaze Estimation based on Average Binary-Connected-Component-Centroid". Electronics Letters (EL), vol. 54, no. 17, pp. 1026 - 1028, 8/23/2018. [DOI]

J18. Yue Qiu, Kejie Huang*, Feng Xiao, Haibin Shen. "A Segment-Wise Reconstruction Method Based on Bidirectional Long Short Term Memory for Power Line Interference Suppression". Biocybeetics and Biomedical Engineering (BBE), vol. 38, no. 2, pp. 217-227, 2018. [PDF]

J17. Feng Xiao, Kejie Huang*, Yue Qiu, Haibin Shen."Accurate Iris Center Localization Method Using Facial Landmark, Snakuscule, Circle Fitting and Binary Connected Component". Multimedia Tools and Applications (MTAP), Volume 77, Issue 19, pp. 25333–25353, October 2018

J16. Kejie Huang, Rong Zhao, Yong Lian. "Racetrack Memory based Low Power and High-Density Non-volatile Look-Up Table (LUT)". Elsevier Journal of Parallel and Distributed Computing(JPDC), Volume 117 Pages 127–137, July 2018.

J15. Xinglong Ji, Li Song, Wei He, Kejie Huang, Zhiyuan Yan, Shuai Zhong, Yishu Zhang, and Rong Zhao*. "A Super Nonlinear Electrodeposition-diffusion-controlled Thin Film Selector". ACS Applied Materials & Interfaces (AMI). vol. 28, no. 10(12), pp. 10165-10172. 2018 Mar 15. [DOI]

J14. Kejie Huang, Wei He, Rong Zhao. "A Two-Step Sensing Circuit for the Hysteresis Loop Selector based Resistive Non-Volatile Memory Arrays". IEEE Trans. on Circuits and Systems II: Express Briefs (TCASII), vol. 65, no. 1, pp. 101--105, Jan 2018.

2017

J13. Wei He, Hongxin Yang, Li Song, Kejie Huang, Rong Zhao. "A Novel Operation Scheme Enabling Easy Integration of Selector and Memory". IEEE Electronics Device Letter (EDL). Vol. 38, no. 2, pp. 172 - 174, Feb. 2017. [PDF ]

J12. Changhong Wang; Wei He; Yi Tong; Yishu Zhang; Kejie Huang; Li Song; Shuai Zhong; Rajasekaran Ganeshkumar. "Memristive Devices with Highly Repeatable Analog States Boosted by Graphene Quantum Dots". Small, 13(20), 15 March 2017. (DOI)

2016

J11. Kejie Huang, Rong Zhao. "Magnetic Domain-Wall Racetrack Memory based Non-volatile Logic for Low Power Computing and Fast Run-Time-Reconfiguration". IEEE Trans. on VLSI systems (TVLSI), vol. 24, no. 9, pp. 2861-2872, 2016. [PDF ]

J10. Kejie Huang, Rong Zhao, Wei He, Yong Lian. "High Density and High Reliability Non-volatile Field Programmable Gate Array (FPGA) with Staked 1D2R RRAM Array". IEEE Trans. Very Large Scale Integration (VLSI) Systems (TVLSI), vol. 24, no. 1, pp. 139-150, 2016. [PDF ]

J9. Kejie Huang, Rong Zhao, Yong Lian. "Racetrack Memory based Non-volatile Storage Elements for Multi-context FPGAs". IEEE Trans. on VLSI systems (TVLSI), vol. 24, no. 5, pp. 1885-1984, 2016. [PDF ]

2015

J8. Kejie Huang, Rong Zhao, Yong Lian. "A Low Power and High Sensing Margin Non-volatile Full Adder Using Racetrack Memory". IEEE Trans. on Circuits and Systems I: Regular Paper (TCASI), vol. 62, no. 4, pp.1109-1116, Apr. 2015. [PDF ]

J7. Ning Ning, Guoqi Li, Wei He, Kejie Huang, Li Pan, Kiruthika Ramanathan, Rong Zhao, Luping Shi. "Modeling Neuromorphic Persistent Firing Networks". International Journal of Intelligence Science, vol. 5, pp. 89-101, 2015. [PDF ]

2014

J6. Kejie Huang, Yajun Ha, Rong Zhao, Akash Kumar, Yong Lian. "A Low Active Leakage and High Reliability Phase Change Memory (PCM) based Non-Volatile FPGA Storage Element". IEEE Trans. Circuits and Systems I: Regular Paper (TCASI), vol.61, no.9, pp.2605-2613, Sep. 2014. [PDF]

J5. Kejie Huang, Rong Zhao, Ning Ning, Yong Lian. "A Low Power Localized 2T1R STT-MRAM Array with Pipelined Quad Phase Saving Scheme for Zero Sleep Power Systems". IEEE Trans. Circuits and Systems I: Regular Paper (TCASI), vol.61, no.9, pp.2514-1623, Sep. 2014. [PDF ] 

J4. Kejie Huang, Ning Ning, Yong Lian. "Optimization Scheme to Minimize Reference Resistance Distribution of Spin-transfer-torque MRAM". IEEE Trans. Very Large Scale Integration (VLSI) Systems (TVLSI), vol.22, no.5, pp.1179-1182, May 2014. [PDF]

J3. Wei He^, Kejie Huang^, et al. Enabling an Integrated Rate-temporal Learning Scheme on Memristor. Scientific Reports (SR) 4. ^Equal contribution. [PDF ]

J2. Tae Hoon Lee, Desmond Loke, Kejie Huang, Wei-Jie Wang, Stephen R. Elliott. "Tailoring Transient-amorphous States: Towards Fast and Power-efficient Phase-change Memories and Neuromorphic Computing". Advanced Materials (AM), vol. 26, no. 44, pp. 7493-7498. [PDF]

2013

J1. Kejie Huang, Yong Lian. "A Low Power Low Vdd Non-volatile Flip-flop using STT-MRAM". IEEE Trans. on Nanotechnology (TNANO), vol.12, no.6, pp.1094-1103, Nov. 2013. [PDF]

Conference

2022

C19. Guanchen Tao, Yonggen Li, Yanfeng Xu, Jicong Fan, Haibin Shen, Kejie Huang. “A Near Memory Computing FPGA Architecture for Neural Network Acceleration”. 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT), Pages 543-548, 2022.

2021

C18. Zheng Zhang, Xin Li, Fengji Geng, Kejie Huang. A Semi-Supervised Few-Shot Learning Model for Epileptic Seizure Detection. 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021/11/1.

C17. Dongxu Wei, Jiashen Hua, Hualiang Wang, Baisheng Lai, Kejie Huang, Chang Zhou, Jianqiang Huang, Xiansheng Hua. RobTrack: A Robust Tracker Baseline towards Real-World Robustness in Multi-Object Tracking and Segmentation. CVPR RVSU Workshop. 2021.

C16. Lingling Cai, Kejie Huang, Ruibing Song, and Haibin Shen, A Near-array Convolution Computing Scheme Based on WSe2. Photonics & Electromagnetics Research Symposium (PIERS). Hangzhou, 2021.

C15. Du Dongna, Chenghao Zhang, Yanbo Wang, Xiaoyun Kuang, Yiwei Yang, Kaitian Huang, Kejie Huang. A Compression and Recognition Joint Model for Structured Video Surveillance Storage. International Conference on Frontiers of Electronics, Information and Computation Technologies. Changsha, 2021.

C14. Rui Xiao, Kejie Huang, Haibin Shen. An Overview of Computing-in-Memory Interfaces, International Conference on Frontiers of Electronics, Information and Computation Technologies. Changsha, 2021.

C13. Dongxv Wei, Xiaowei Xu, Haibin Shen, Kejie Huang. "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer". In 35th AAAI Conference on Artificial Intelligence, 2021.

2020

C12. Jiayi Liu, Kejie Huang. "A Novel Scheme to Map Convolutional Networks to Network-on-Chip with Computing-In-Memory Nodes". The 17th International SoC Design Conference (ISOCC 2020).

C11. Lirong Wu, Kejie Huang*, Haibin Shen. "A GAN-based Tunable Image Compression System". IEEE Winter Conf. on Applications of Computer Vision, March 1-5, 2020.

C10. Tao He, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yuan-Fang Li. "SNEQ: Semi-supervised Attributed Network Embedding with Attention-based Quantisation". In 34th AAAI Conference on Artificial Intelligence, 2020.

2019

C9. Sai Zhang, Zongdong Dai, Rui Xiao, Haibin Shen, Kejie Huang*. "The Impact of Non-linear NVM Devices on In-Memory Computing". In 3rd IEEE International workshop on future computing (IWOFC), 2019.

C8. Kejie Huang, Chuyun Qin, "eNVM Based In-memory Computing for Intelligent and Secure Computing Systems", In 32th International System-On-Chip Conference (SOCC), 3-6 Sep, 2019.

C7. Kejie Huang, "A Two-Step Sensing Circuit for the Hysteresis Loop Selector based Resistive Non-Volatile Memory Arrays", In 52th International Symposium on Circuits and Systems (ISCAS), 26-29 May, 2019. 

2017

C6. Kejie Huang, Rong Zhao. "Domain-Wall Racetrack Memory for In-Memory Computing". In 50th International Symposium on Circuits and Systems (ISCAS), 28-31 May, 2017. 

C5. Yue Qiu, Kejie Huang*, Feng Xiao, Haibin Shen. "Power-Line Interference Suppression in Electrocardiogram using Recurrent Neural Networks". In 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 14-16 Oct, 2017.

2014

C4. Kejie Huang, Rong Zhao. "Low Power Computing Using Resistive Non-volatile Memories". In 14th Non-volatile Memory Technology Symposium (NVMTS), 27-29 October, 2014. [PDF]

C3. Kejie Huang, Rong Zhao, Yong Lian. "STT-MRAM based Low Power Synchronous non-volatile Logic with Timing Demultiplexing". In 10th ACM/IEEE International Symposium on Nanoscale Architectures (NANOARCH), 8-10 July, 2014. [PDF ]

2012

C2. Ning Ning, Kejie Huang, Luping Shi. "Articial Neuron with Somatic and Axonal Computation Units: Axon as a Slow Leaky Integrator Complementry to the fast somatic integration". In 2012 International Joint Conference on Neural Networks (IJCNN), 10-15 June, 2012. [PDF]

2011

C1. Ning Ning, Yi Kaijun, Huang Kejie, Shi Luping. "Axonal Slow Integration Induced Persistent Firing Neuron Model and Spiking Network". In Neural Information Processing. Springer Berlin Heidelberg, 2011. [PDF ]

Book Chapter

2011

B1. Kejie Huang, Yin Zhou, Xiaobo Wu, Wentai Liu and Zhi Yang. "Design and Optimization of Inductive Power Link for Biomedical Applications". Applied Biomedical Engineering, ISBN: 978-953-307-256-2, 2011. [PDF]

中国/PCT专利申请

黄科杰，杨树园，陆凯晨，沈海斌，一种语音关键词检测专用芯片，2021102651168，2021.03.10

黄科杰、周开宁、何杨槊，一种用于可重构神经网络处理器的路由结构，2020114816858，2020-12-16

黄科杰、章烨炜、沈海斌，一种被动稳压电路实现的高线性度神经形态计算电路，2021100720464，2021-1-21

黄科杰、刘润、沈海斌，一种基于存内计算的混合基快速傅里叶变换计算电路，2021104363502，2021-4-22

黄科杰、刘佳沂、沈海斌，一种面向可重构神经网络处理器的神经网络布局方法，2020109037736，2020-09-01

黄科杰、宋瑞冰、沈海斌，一种CMOS图像传感器内的卷积运算架构，202010625859.7，2020-07-02

沈海斌、孔家慧、黄科杰，人脸情绪合成方法及装置，202010095755X，2020.02.17

沈海斌、朱超阳、黄科杰，一种基于结构化剪枝的稀疏神经网络加速器及其加速方法，2019112681849，2019-12-11

黄科杰、吴立荣、沈海斌，基于深度学习的面向监控视频的前景和背景并行压缩方法，ZL201911000556.X，2019-10-21

黄科杰、肖蕊、沈海斌，一种基于radix-4编码和差分权重存储的乘累加电路, PCT/CN2020/092286|2019104623748, 2019-05-30

黄科杰、潘云洁、沈海斌，基于权重分布的卷积神经网络低位宽量化方法, 2019104636786, 2019-05-30

黄科杰、周璇、朱晓雷，一种基于racetrack memory的乘法器及其操作方法, 2019104359853, 2019-05-23 

黄科杰、曹家骏、沈海斌，一种基于RRAM的非易失性8位Booth乘法器, 2019104814374, 2019-06-04

黄科杰、朱超阳、沈海斌，一种基于结构化剪枝和低比特量化的神经网络处理器, PCT/CN2020/099891|ZL201910609993.5, 2019-07-08

黄科杰、张赛、沈海斌，一种基于多位并行二进制突触阵列的神经形态计算电路, PCT/CN2020/100756|201910609991.6, 2019-07-08

美国专利/专利公开

Foong Huey Chian, Huang Kejie. "Write control circuits and write control methods". US Patent. US9,257,177, 2016.

Huang Kejie. "A circuit arrangement and a method of writing states to a memory cell". US Patent, US8942024, 2015.

Lua Yan Hwee Sunny, Huang Kejie. "Writing circuit for a magnetoresistive memory cell, memory cell arrangement and method of writing into a magnetoresistive memory cell of a memory cell arrangement". US Patent. US8,773,897, 2014.

Huang Kejie, Ning Ning. "Reading Circuit for A Resistive Memory Cell". US Patent. US8,867,260, 2014. SG Patent Application, SG/201303132-3, 13/03/2013.

Huang Kejie, Foong Huey Chian. "Latch Circuit and Data Processing System". US Patent Application. US/14/092,975, 11/28/2013.

Huang Kejie, Sunny Lua Yan Hwee, Arthur Ang. "A Current Writing Circuit For A Resistive Memory Cell Arrangement". US/SG Patent Application. US20120300531, 2012. SG/201203494-8, 23/05/2012.

Huang Kejie, Zhao Rong. "Writing Circuit for A Resistive Memory Cell Arrangement and A Memory Cell Arrangement". US/SG Patent Application. US20130077383, 2013. SG/201106907-7, 9/23/2011.

2023-2026 NSFC面上项目

2023-2024 国家实验室项目

2022-2026 重点研发计划

2022-2025 NSFC国际交流项目

2022-2025 XX领域基金

2022-2024 杭州市重大科技创新项目

2022-2024 浙江省基础公益项目

2022-2023 VIVO合作项目

2022-2022 国家实验室项目

2021-2022 ZGDK合作项目

2020-2022 企业重大横向项目

2020-2025 科技创新2030

2020-2023 NSFC联合基金

2020-2021 华为NRE合作项目

2019-2021 之江实验室重大项目

2018-2022 企业重大横向项目

2018-2019 ZJU-UIUC合作项目

2018-2021 ZJU-SUTD IDEA

2017-2020 ZJU-SUTD合作科研资助计划