Dr. Guanhua Wang (王冠华)
Melbourne,Australia
Summary
I am Dr. Guanhua Wang, also known as Chris. I earned my Ph.D. in computer science from the University of Adelaide in 2022 and was honored with the Dean's Commendation for Doctoral Thesis Excellence. Furthermore, I received the prestigious title of Mace Bearer. In the realm of competitive programming, I obtained Bronze Medals at the ACM-ICPC Asia Regional. I am familiar with NLP and CV.
Overview
9
9
years of professional experience
Work History
Research Fellow in NLP and Knowledge Modelling (Level B)
victoria university Melbourne
Melbourne, Australia
11.2023 - 08.2024
- Utilizing large language models (like LLaMA 2, LLaVA, etc.) to fine-tune and integrate them with local medical services, thereby helping hospital doctors in diagnosing patients' conditions.
Collaborating Researcher (NLP)
GreenDynamics
12.2023 - Current
- Research and use NLP and a large language model to enable intelligent material discovery and manufacture for the renewable energy industry.
Data Science (Professional staff)
Australian Institute for Machine Learning (AIML)
Adelaide, Australia
09.2022 - 07.2023
- Apply machine learning methods to deal with images from big data
- Hyperspectral image processing for biomass and agricultural products(Satellite image data regression)
Phd. (Computer Science)
University of Adelaide
Adelaide, Australia
01.2019 - 01.2022
Phd reseach: Automated Mechanism Design for Public Project Problems via Neural Network and Evolutionary Computation.
Assistant Hardware Engineer (Internship)
Chengdu Andisoon Measure Co. Ltd.
Chengdu, China
08.2015 - 11.2015
- CNG gas dispenser detection systems: This job is to develop microprocessors with C(embedding with ARM)
- I design UI and use the microprocessor system to control the gas filling machine automatic verification device.
Education
Ph.D. (Computer Science) -
University of Adelaide
07.2022
Master of computing and innovation -
University of Adelaide
12.2018
Bachelor of management and engineer (Dual Degree) -
University of Electronic Science and Technology of China (985,211)
01.2015
Skills
- Python
- Machine learning
- Llama
- Large large model
- Chatgpt
- Computer Vision(CV)
- Natural language processing(NLP)
- SQL/MySQL/Mongodb
- HTML/CSS/JavaScript/JSON
- Cplex
- Hadoop
- Java
- Integer Linear Programming
- ARM(Modbus)
- Robot
- ExperiencedTensorflow/Pytorch
- Pytorch/Tensorflow/Pandas/Sklearn
- C/C
- Optimisation
- Bash
- Linux
- Git
- AWS
- Google map API
- Auction Mechanism Design
- Android studio
- Golang
- PHP
- Power BI/Tableau
- Blazor Sever/C#/Net
- Stripe/Auth0
- Docker
Awards
- Dean's Commendation for Doctoral Thesis Excellence Adelaide
- Mace Bearer Adelaide
- ACM-ICPC Asia Regional Contest (Bronze Medal)
- ACM-ICPC Asia Regional Contest (Bronze Medal x 2)
- ACM-ICPC Zhejiang/Hunan Invitational Contest (Bronze Medal x 2)
- The mayor of ChongQing youth science and technology innovation award (10 people per province) Chongqing （重庆市青少年科技创新市长奖）
- China Adolescents Science & Technology Innovation Contest (Third Prize)
- National Olympiad in Informatics in Provinces (NOIP, Province, First Prize）（省级信息学奥赛一等奖）
- Chinese Physics Olympiad in Provinces (Province, Second Prize, Top 50 in province)
- China Adolescent Robotics Competition (National, Third Prize)
Publications
- Guanhua Wang, Runqi Guo, Yuko Sakurai, Ali Babar, and Mingyu Guo. "Mechanism Design for Public Projects via Neural Networks." International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2021 (Core A
- Mingyu Guo, Guanhua Wang, Hideaki Hata, M. Ali Babar. " Revenue-Maximizing Markets for Zero-Day Exploits." In Autonomous Agents and Multi-Agent Systems (AAMAS) 35, 36, 2021. (Core A)
- Guanhua Wang, Mingyu Guo. "Public Project with Minimum Expected Release Delay." The 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2021 (Core B)
- Guanhua Wang, Wuli Zuo, Mingyu Guo. "Redistribution in Public Project Problems via Neural Networks." The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2021 (Core B)Le, Ba-Dung, Guanhua Wang, Mehwish Nasim, and Muhammad Ali Babar. "Gathering cyber threat intelligence from Twitter using novelty classification." In 2019 International Conference on Cyberworlds (CW), pp. 316-323. IEEE, 2019 (Core B)
- Pengyu Yan, Guanhua Wang, Ada Che, Yaoyiran Li. "Hybrid discrete differential evolution algorithm for biobjective cyclic hoist scheduling with reentrance." Computers & Operations Research, 76, pp.155-166. 2016 (Core A)
- Mingyu Guo, Diksha Goel, Guanhua Wang, Runqi Guo, Yuko Sakurai, and Ali Babar. "Mechanism Design for Public Projects via Three Machine Learning Based Approaches" Research Square 2022 (...)
- Mingyu Guo, Diksha Goel, Guanhua Wang, Yong Yang, Muhammad Ali Babar "Cost Sharing Public Project with Minimum Release Delay" 2023 (...)
Timeline
Collaborating Researcher (NLP)
GreenDynamics
12.2023 - Current
Research Fellow in NLP and Knowledge Modelling (Level B)
victoria university Melbourne
11.2023 - 08.2024
Data Science (Professional staff)
Australian Institute for Machine Learning (AIML)
09.2022 - 07.2023
Phd. (Computer Science)
University of Adelaide
01.2019 - 01.2022
Assistant Hardware Engineer (Internship)
Chengdu Andisoon Measure Co. Ltd.
08.2015 - 11.2015
Ph.D. (Computer Science) -
University of Adelaide
Master of computing and innovation -
University of Adelaide
Bachelor of management and engineer (Dual Degree) -
University of Electronic Science and Technology of China (985,211)
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