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ORCIDYing Zhu 0008
Person information
- affiliation (PhD 2021): Technical University of Munich, Chair of Electronic Design Automation, Germany
Other persons with the same name
- Ying Zhu — disambiguation page
- Ying Zhu 0001
![[0000-0002-9155-2315]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9155-2315")
— Georgia State University, Department of Computer Science, Creative Media Industries Institute, GA, USA (and 1 more) - Ying Zhu 0002 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, LIESMARS, China (and 1 more)
- Ying Zhu 0003 — Hubei University of Technology, China
- Ying Zhu 0004 — Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China
- Ying Zhu 0005 — Beijing University of Posts and Telecommunications, BUPT, Key Laboratory of Universal Wireless Communications, China (and 1 more)
- Ying Zhu 0006 — Siemens AG Corporate Research and Development, Real Time Vision Modeling Department, Princeton, NJ, USA (and 1 more)
- Ying Zhu 0007 — University of Ontario, Institute of Technology, UOIT, Faculty of Business and Information Technology, ON, Canada
- Ying Zhu 0009 — Gansu Academy of Sciences, Key Laboratory of Microbial Resources Exploitation and Application of Gansu Province, Institute of Biology, Lanzhou, China
- Ying Zhu 0010 — PLA Army Engineering University, College of Communications Engineering, Nanjing, China
- Ying Zhu 0011 — University of North Carolina at Charlotte, Department of Computer Science, NC, USA
- Ying Zhu 0012 — Fudan University, Institutes of Brain Science, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Shanghai, China
- Ying Zhu 0013 — Kent State University, College of Communication and Information, OH, USA
- Ying Zhu 0014 — South China Agricultural University, College of Economics and Management, Guangzhou, China
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2020 – today
- 2021
[b1]Ying Zhu:
Design and Optimization of Emerging Systems for Biochemical Experiments and Neuromorphic Computing (Design und Optimierung neuer Systeme für biochemische Experimente und neuromorphes Computing). Technical University of Munich, Germany, 2021- [c5]Grace Li Zhang, Bing Li, Ying Zhu, Tianchen Wang, Yiyu Shi, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks. ASP-DAC 2021: 853-858 - 2020
- [j1]Ying Zhu, Xing Huang, Bing Li, Tsung-Yi Ho, Qin Wang, Hailong Yao, Robert Wille, Ulf Schlichtmann:
Multicontrol: Advanced Control-Logic Synthesis for Flow-Based Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2489-2502 (2020) - [c4]Ying Zhu, Grace Li Zhang, Tianchen Wang, Bing Li, Yiyu Shi, Tsung-Yi Ho, Ulf Schlichtmann:
Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise. DATE 2020: 1590-1593 - [c3]Grace Li Zhang, Bing Li, Ying Zhu, Shuhang Zhang, Tianchen Wang, Yiyu Shi, Tsung-Yi Ho, Hai (Helen) Li, Ulf Schlichtmann:
Reliable and Robust RRAM-based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI 2020: 33-38 - [c2]Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann:
Countering Variations and Thermal Effects for Accurate Optical Neural Networks. ICCAD 2020: 152:1-152:7
2010 – 2019
- 2018
- [c1]Ying Zhu, Bing Li, Tsung-Yi Ho, Qin Wang, Hailong Yao, Robert Wille, Ulf Schlichtmann:
Multi-channel and fault-tolerant control multiplexing for flow-based microfluidic biochips. ICCAD 2018: 123
Coauthor Index
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