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Dr. ZHAO Nan. Programme Director, M.A. Programme in Translation and Bilingual Communication; Assistant Professor, Department of Translation, Interpreting and Intercultural Studies
Associate Professor of Beijing Computational Science Research Center.
Nan Zhao (赵楠) Other names ... N Zhao, F Cheng, FR Yu, J Tang, Y Chen, G Gui, H Sari. IEEE Transactions on Communications, 2018. 335: 2018: Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks.
Nanzhao ( Chinese: 南詔, also spelled Nanchao, lit. 'Southern Zhao', [2] Yi language: ꂷꏂꌅ, Mashynzy) was a dynastic kingdom that flourished in what is now southwestern China and northern Southeast Asia during the 8th and 9th centuries, during the mid/late Tang dynasty.
Dr Nan Zhao received the Ph.D. degree in Electrical Engineering from McMaster University, Canada, in 2017. He was a Sessional Lecturer with the Department of Electrical and Computer Engineering, McMaster University, Ontario, Canada, from 2017 to 2018.
Assistant Professor, Department of Translation, Interpreting and Intercultural Studies, Hong Kong Baptist University. Education. PhD in Psycholinguistics, Guangdong University of Foreign Studies, National Key Research Centre for Linguistics and Applied Linguistics, China.
Nan Zhao [SM] (zhaonan@dlut.edu.cn) is a professor at Dalian University of Technology, China. He received the Ph.D. degree in information and communication engineering in 2011 from Harbin Institute of Technology, Harbin, China.
Articles 1–20. Somur Tech. Co., Ltd. - Cited by 953 - Translational bioinformatics - Computational system biology - Host-pathogen interactions - Machine learning - Big data mining.
Nan Zhao is a research scientist at the MIT Media Lab. Her research aspiration is to improve people's daily experience by making our living environments more dynamic and responsive to our needs. She received a Ph.D. in Media Arts and Sciences from MIT and a Dipl. -Ing. degree in Electrical Engineering from RWTH Aachen University in Germany.
Nan Zhao (Student Member, IEEE) received the B.S. degree in electrical engineering from the Dalian University of Technology, China, in 2011, and the M.S. degree in electrical engineering from the North China Electric Power University, China, in 2014.
Jan 26, 2024 · [01 November 2019] Post-doc and PhD student vacancies (experiment) available! Contact me and join us! [20 April 2019] Moving into our new lab! About Me ¶. Research Interests ¶. We are currently performing two research projects. For more information, please click the following links. High-Precision Measurement with Thermal Atoms.
Please join us to welcome Dr. Nan Zhao who is now our Research Fellow. Dr. Zhao has an impressive research profile in the areas of psycholinguistics in interpreting, speech monitoring in interpreting, interpreting assessment, and interpreting technology.
Biography. I am an Assistant Professor and Programme Director of Master of Arts in Translation and Bilingual Communication in the Department of Translation, Interpreting and Intercultural Studies at Hong Kong Baptist University.
Dr. Nan Zhao is an Associate Research Scientist at the Institute for NanoBioTechnology in the Johns Hopkins Whiting School of Engineering. Zhao’s research is focused on developing tissue–engineered blood vessels for modeling and treating human diseases.
Nan Zhao is a researcher at the MIT Media Lab. Her research aspiration is to improve people's daily experience by making our living environments more dynamic and responsive to our needs.
Dr Nan Zhao received the Ph.D. degree in Electrical Engineering from McMaster University, Canada, in 2017. He was a Sessional Lecturer with the Department of Electrical and Computer Engineering, McMaster University, Ontario, Canada, from 2017 to 2018.
Zhao Nan’18, Technical Artist at TiMi Studio Group, Tencent Holdings Ltd. Hometown: Shanghai. Major: IMA, Minor: Computer Science. After graduating, NYU Shanghai alumni Zhao Nan ’18 successfully aligned her career development needs with her personal interests in the challenging field of technical art.
May 23, 2023 · Query Rewriting for Retrieval-Augmented Large Language Models. Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan. Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read pipeline, making remarkable progress in knowledge-intensive tasks.
Nan Zhao is currently pursuing the Ph.D. degree from the School of Electronics Information and Electric Engineering, Shanghai Jiao Tong University, Shanghai, China. Her current research interests include wearable and multifunctional integrated sensors.
Nan Zhao is a machine learning scientist leading the ML team at Tulip Interfaces, where her expertise drives advancements in AI for manufacturing. Prior to this role, she made significant contributions as a research scientist at MIT and founded the smart city startup Soofa.
Dr. Nan Zhao received her doctoral degree in Business Administration from Washington University in St. Louis, and she is currently an Assistant Professor of Marketing at Scheller College of Business.
Nan ZHAO | Cited by 13,327 | of Beijing Computational Science Research Center, Beijing (CSRC) | Read 424 publications | Contact Nan ZHAO
5 days ago · Chen, Zifan and Zhao, Jie and Li, Yanyan and Li, Yilin and Liu, Huimin and Feng, Xujiao and Nan, Xinyu and Dong, Bin and Shen, Lin and Chen, Yang and Zhang, Li, Predicting Response to Patients with Gastric Cancer Via a Dynamic-Aware Model with Longitudinal Liquid Biopsy Data.
Nan-Nan Zhao was born in Liaoning Province, China, in 1975. She received the B.S. degree in industrial automation from Northeastern University, Shenyang, China, in 1998, M.S. degree in control theory and control engineering from University of Science and Technology Liaoning, Anshan, China, in 2003, and Ph.D. degree in intelligent control and ...
Jun 23, 2024 · To address this concern, several modified laminoplasty techniques, such as unilateral muscle-preservation laminoplasty (UL) and muscle-sparing spinous process splitting double-door laminoplasty (DL), have been developed to protect the MLC. 8–10 ().These procedures tried to utilize the natural intermuscular gap and minimize paraspinal MLC detachment from bony structures, thus subsequently ...
