Shuai Wang[CV] is now a researcher working at Huawei Noah's Ark Lab.
His current research interests include Large Language Models (especally in supervised finetune), information retrieval with LLM and biomedical informatics.
He has published several papers on conferences in AI, data mining and interdisciplinary fields.
He has been involved in several commercial projects and promoted the business success of the products with AI algorithms.
Email: wangshuai_2016@pku.edu.cn / wangshuai231@huawei.com
Google Scholar
[06/2023] I join Huawei Noah's Ark Lab. We focus on the cutting-edge research and application of large language models.
[08/2021] I join Huawei. We focus on combining artificial intelligence technologies with video calls to create the next generation of real-time video communications.
2019-2021
Shuai Wang: SeqMed: recommending medication combination with sequence generative adversarial nets. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Shuai Wang, Junfei Liu: Tagnet: Temporal aware graph convolution network for clinical information extraction. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Shuai Wang, Junfei Liu: ClinicNet: Clinical Practice Oriented Medical Representation Learning for Electronic Medical Records. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Shuai Wang, Jinyang Liu, Ye Qiu, Zhiyi Ma, Junfei Liu, Zhonghai Wu: Deep learning based code completion models for programming codes. Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control.
5G New-Calling.
5G new calling solution adds the new IMS Data Channel (DC) based on the traditional audio/video call, which can transmit any media synchronously to bring rich interactive and immersive services and meet user requirements of multi-dimensional and real-time multimedia interaction.
mainly responsible for building the AI-based experience competitiveness in this project, including:
* AI-based video call experience optimization solution design, such as AI-based enchancement, AI-based codec optimization, and AI-based flow contril.
* Algorithms research and implementation. I implemented the core deep learning based algorithms of video/screenshot enhancement, autofocus, background replacement, etc
Pangu Language Model.
The Pangu Model 3.0 consists of three layers of architecture: L0 foundational LLM, L1 industry-specific model and L2 scenario-specific model, and this will help reshape thousands of industries.
mainly involved in the work of the supervised fine tune of large language models and Chinese information retrieval. Especially focus on the research for invoking the function calling ability of LLM
Conference Activities
PC Member, International Conference on Biological Information and Biomedical Engineering (BIBE), 2022
State Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (Oct. 2018 - Sep. 2019)
2022
1. Excellent employees of Huawei Beijing Research Institution
2016 - 2021
1. The excellent students of Peking University
2. Shenzhen Stock Exchange Scholarship of Peking University
3. Wuhan 2020 opensource project - Volunteers to Fight the Covid-19 Epidemic
4. Academic Scholarship of Peking University
2015
1. President Scholarship of Wuhan University - Liu Daoyu Scholarship, Grade A
2. China Software Cup College Students Software Design Competition, National First Prize, Captain of the Team
3. Scholarship of Wuhan University
4. Excellent Individuals of Wuhan University
2014
1. Scholarship of Wuhan University
2. Excellent Individuals of Wuhan University
