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Introduction |
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Naibo Wang 王乃博
Ph.D. Candidate of Data Science at National University of Singapore (Presidential Fellowship)
新加坡国立大学数据科学博士候选人 (校长奖学金)
Institute of Data
Science (IDS), NUS Graduate School - Integrative Sciences &
Engineering Programme (NUSGS-ISEP), School of Computing
(SoC)
数据科学学院, 国大研究生院 - 交叉科学与工程项目,
计算机学院
National University
of Singapore 新加坡国立大学
CV: Naibo Wang's Curriculum Vitae
Github: Naibo Wang - Github
Google Scholar: Naibo Wang - Google Scholar
EasySpider Homepage: https://www.easyspider.net
Zhihu(知乎): 天际青年 - 知乎Zhihu
Email: naibowang@comp.nus.edu.sg
URL: https://naibo.wang
Research Interests: Model-Centric Collaborative Machine Learning, Robotic Process Automation, Large Language Models, Operating System, Cloud Computing, Big Data, Distributed System, Parallel Computing, Database.
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Bio |
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I’m now a Ph.D. Candidate of the Institute of Data Science (IDS) at National University of Singapore with the Presidential Fellowship, jointly hosted
by the Institute of Data Science (IDS), NUS Graduate School - Integrative Sciences & Engineering Programme (NUSGS-ISEP) and the School of Computing (SoC). I'm now tutored by and working with
Prof.
NG See-Kiong in the field of Model-Centric Collaborative Machine Learning.
I got my Master Degree at the end of June 2020 when I was 22 years old in College
of Computer Science and Technology of Zhejiang University.
My master supervisor is Prof.
Jianwei Yin and was tutored by Dr.
Zhiling Luo.
I received my B.S. degree in School of Computer Science and Technology from Xidian University in 2017.
I graduated from Shenxian No.1 Middle School at County Shen, Liaocheng, Shandong Province, China MainLand.
My hometown is located at Dazhang Middle School, County Shen, Liaocheng, Shandong Province, Mainland of the People's Republic of China. I grew up there with my parents along with my buddies,
as well as got my junior high and primary school's degree.
I once worked on the domain of Service Computing when I was in Zhejiang University, and I have designed and implemented a system which can automatically convert available data in web pages to
web services called
EasySpider.
I also participated in the research of user behavior analysis with some AI knowledge. Meanwhile, I participated in the work related to human-computer interaction.
My GPA is 4.0/4.0 during my postgraduate studies, and
3.6/4.0 during my undergraduate studies.
I took the TOEFL Test at July 2019 with score 103; the GRE Test at September 2019 and got a score of Verbal 157, Quantitative 170, AW 4.0.
Till now, I won 20+ awards such as the National Scholarship and Graduate Star (only 10 of 5000 students can get it). At the same time, I independently completed nearly 40 projects
of different scales with more than 15 programming languages. I had built 4 sets of management systems for my department and they are still online now.
My undergraduate graduation design is Parallel design of convolution neural network based on OpenCL, which accelerates the convolutional neural network with a CUDA-like cross-platform parallelization design language OpenCL and achieved 300 times faster
training speed and it was awarded the University’s Excellent Graduation Thesis.
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Publications |
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[Papers]
Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng. (2024) One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. [C] ACM Multimedia 2024 (MM 24) (Published). [PDF]
Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng. (2023) Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning. [T] Transactions on Machine Learning Research (TMLR) (Published). [PDF]
Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng. (2023) EasySpider: A No-Code Visual System for Crawling the Web. [C] The ACM Web Conference (WWW) (Published). [PDF]
Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He. (2021) A survey on federated learning systems: vision, hype and reality for data privacy and protection. [T] IEEE Transactions on Knowledge and Data Engineering (TKDE). [PDF]
Meng Xi, Zhiling Luo, Naibo Wang, Jianwei Yin. (2020) A Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data. [C] IEEE International Conference on Smart Data Services (SMDS) [Best Paper Award]. [PDF]
Meng Xi, Ying Li, Yongna Wei, Naibo Wang, Yuyu Yiny, Zhiling Luo , Shuiguang Deng , Yihua Mao , Jianwei Yin. (2019) A Scenario-based Requirement Model for Crossover Healthcare Service. [C] IEEE World Congress on Services (SERVICES).
[PDF]
[Patents]
Naibo Wang, Xiya Lv, Zitong Yang, Tao Wang, and Jianwei Yin. Zhejiang University, 2024. Service packaging method based on web page segmentation and search algorithm. U.S. Patent Application 17/614,978. (Granted). [Certificate]
王乃博, 尹建伟, 杨子桐, 王涛, 吴朝晖 (2022) , CN111797340B, ZL 2020 1 0526593.0 一种自定义提取流程的服务封装系统 (A service wrapper system for customizing extraction processes). (Granted).
[Certificate]
罗智凌, 王乃博, 吕西亚, 杨子桐, 尹建伟 (2022) , CN110222251B, ZL 2019 1 0447448.0, 一种基于网页分割和搜索算法的服务包装方法 (A service wrapper method based on web page segmentation and searching algorithms). (Granted).
[Certificate]
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Projects |
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[During Ph.D. period]
- Cryptocurrency Trade Market/Platform
Worked as full-time software engineer to build a Cryptocurrency Trade Market/Platform. Users are free to buy, sell and start their invest with a free-adjusted GUI. Responsible for building the full frontend and part of the backend of the system with multiple
languages and frameworks. Designed the database structure, participated in requirement design and deployed the platform on secure and stable servers.
[During graduate student period]
- System: EasySpider (Service Wrapper)
This work constructed a service wrapper system to convert available data in web pages into web services. Additionally, a set of algorithms are introduced to solve problems in the whole conversion process. People can use our system to convert web data
into web services with fool-style operations and invoke these services by one simple step, which greatly expands the use of web data.
With EasySpider (Service Wrapper), a rookie user can design and generate a web crawler in just a few minutes without any prior knowledge of web/network spider. The system outstripped the traditional crawler program on the efficiency of data collection. The Service
Wrapper can either automatically analyze the page, generate crawler rules, and return the corresponding structured data; or a user can design its own crawl rules with a user-friendly
GUI.
- System: A Scenario-based Requirement Model for Crossover Healthcare Service
In this work, a scenario-based requirement model (SBRM) is proposed for crossover healthcare service. A DSL and a prototype system are designed based on the model as well. Our model defines the requirements as: WHO, in what SCENARIOs, what PROCESSes need
to be performed, and what RULEs need to be satisfied. We verify our model in the real case of the MEH (medical, eldercare, healthcare) crossover service. SBRM supports the service better
in our cases and shows satisfactory efficiency, effectiveness, and reusability.
- AI: Understand the feeling of the player behavioral simulation-based user churn prediction.
This work proposed a RNN model called LaFee to get latent feelings while predicting user churn, which mitigates the challenge of lacking users’ real feelings. In the mean time, it introduced
a method called BMM-UCP to help models predict user churn when it needs to be completed with only behavioral data. Then it carried out statistical quantitative analysis of the satisfaction
and aspiration while expounding and proving the physical meaning of them.
- Android: Weather Treasure.
- Front-End: High resolution ground to ground observation service grid system.
[link]
It's a website platform that integrated with many web services in the field of high resolution satellite images grid. Users can create and publish their services on the platform and import
their procedures to the platform in the form of web services. The platform covers many high resolution satellite images such as Land, Sea, Forest, etc. People can also develop their own
services with an online Web IDE and import the purchased SDK very easily. Meanwhile, the platform can monitor the status of the running devices (with the help of Zabbix) to ensure the
robustness of the whole system.
- Course Design: Parallel design of convolution neural network based on CUDA.
[During the undergraduate student period]
- AI: Parallel design of convolution neural network based on OpenCL (Graduation Project).
This work completes the parallel design of convolution neural network based on OpenCL, and verifies the feasibility and correctness of the designed algorithm on
heterogeneous parallel platform. Based on the analysis of the basic structure of convolution neural network of handwritten
numeral recognition, this paper summarizes the optimization method of convolution neural network training based on OpenCL, and proposes a single convolution process parallel, multi-convolution
task parallel, multi-convolution data Parallel and batch processing and other openCL-based parallel optimization program, and complete the optimization program programming. The training,
testing process and simulation of CNN algorithm are realized on Intel CPU, AMD GPU and NVIDIA GPU platform. The test results show that the parallel optimization scheme proposed in this
paper is about 375 times faster than the serial execution method in the case of the same training accuracy rate.
- Android: Study Harder My Friends! / Tripartite agreement reservation system.
- Website System: Three-thinking student service platform / XIDIAN optical institute reservation system / Network class learning system in Central University of Finance and Economics / National
scientific research project application system / Crab verification code service system.
The three-thinking website is a huge platform that provide many services for the students and teachers in Xidian University. The number of visitors reached 100,000 during the operation of the website.
Students can get instant news, check their ranks and GPAs and download the prove of
their RANK and GPA very quickly. Also, they can order some basic materials such as their transcript and other proves with this system and officers can handle these orders very easily.
For the professors in Xidian University, they use the system to grade their students' graduation projects. Also, the website provides a page for the students to find information about
the summer camps' news and helps teachers to recruit good students by publishing Ads on the website. Until now, when I have already graduated from Xidian University for two years, the
officers are still using this system to free their hands and improve their work efficiency.
- Embedded: Intelligent indoor navigation system / Basketball game timer / 8-bit CPU.
- Client: International student information management system / The game: Dream Load / Counselor contest timer.
- Course Design: Electronic organ / KTV VOD system / Who is the undercover? / Sanctions Recorder.
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Other Information |
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[Social Works]
- Graduate Monitor / Director of undergraduate office / Monitor in Senior high school.
- Chief editor of journal three-thinking in XDU / chief editor of Employment guidance manual for graduates of XDU / main designer of brochure of Zhongnan culture academy of XDU college of humanities.
- Modern history speech group leader / MAO project group leader / school level summer practice team leader.
[Skills and Hobbies]
- PS, typesetting and video production (including special effects production, music processing and video editing).
- I have been the editor-in-chief, proofreader and typesetting of various publications, as well as the director, screenwriter and post-production of various micro films and video, and won many
awards.
- I have hosted dozens of speech and participated in various school activities.
- I love appreciating music and playing badminton.
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Contact Me
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Institute of Data Science
Innovation 4.0, #04-06
3 Research Link
Singapore 117602 National University of Singapore Singapore
Email: naibowang@comp.nus.edu.sg
Homepage: https://naibo.wang
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