Here are some common questions for JOB. It can help!

1.Please introduce yourself.

My name is Sun Jingguo. Currently, I am conducting applied research on information security using large language models (LLM) at Okazaki Laboratory, Shinshu University in Japan. This research mainly aims to identify potential risks and vulnerabilities from the system's source code, helping individuals and companies predict errors without leaking information, thereby safeguarding the Internet environment. My research is not only applicable in the field of information security but also in data investigation and market analysis. By using large language models to extract crucial information from natural language, it aids in corporate decision-making and marketing strategies. Furthermore, my research can help reduce operating costs and improve overall efficiency for companies. I also love challenges and have experience traveling around the world alone. Visiting countries like Japan, Australia, the United States, and the United Kingdom has enhanced my independence and ability to adapt to different cultural environments, broadening my global perspective. I am fluent in Japanese, English, and Chinese, and can effectively collaborate in international teams, promoting cross-cultural communication. I am highly enthusiastic about data science and the application of large language models, and I have gained extensive experience in these fields. I believe that my expertise and multilingual skills can contribute to your company's global data science research and technological innovation.

2.What unique value do you believe you bring to our company?

Considering my research background and practical experience, I believe I can bring the following unique values to your company: Firstly, through my research and applied experience, I can utilize large language models and neural network technologies to extract crucial information from vast amounts of natural language data. This can provide more accurate and efficient data support for advertising planning and investment, improving advertising effectiveness and customer conversion rates. Secondly, my multilingual abilities and cross-cultural perspective will help your company better understand and serve international markets. Through my experiences living and working in Japan, Australia, the United States, and the United Kingdom, I can provide strong support for your company's business expansion in the global market, enhancing international competitiveness. Furthermore, I am committed to promoting innovation and solving real-world problems. During my undergraduate years, I developed a life-learning management system that combined software and hardware. This not only improved my technical skills but also taught me how to integrate various technologies to solve practical problems. This spirit of innovation and problem-solving ability is highly beneficial to your company. Finally, I place great importance on data reliability and privacy protection, ensuring that there is no information leakage during data analysis. This secures both customer and company data. Such a responsible attitude will bring higher credibility to your company.

3.What are your weaknesses?

Sometimes, I place a high emphasis on adventurousness and intuitive expression. My intention is to promote innovation and direct communication, but this can occasionally cause discomfort or misunderstandings among some people. To improve in this area, I make an effort to be more considerate of my expression methods, ensuring that my ideas are understood and accepted by others.

4.What is the most challenging aspect of your research?

One of the greatest challenges in my research is handling noise and inaccurate data in large datasets. These noises can adversely affect the predictive results of the model. To address this issue, I have adopted various methods, including data preprocessing and cleaning. Additionally, I place a strong emphasis on the reliability of data sources, ensuring that the data used comes from trusted sources. This significantly reduces noise and bias. Furthermore, I have improved overall predictive accuracy by combining multiple models. For example, by using Random Forest and Neural Networks, I optimized model performance and enhanced overall predictive accuracy. Ultimately, these measures have greatly improved the model's performance, enabling the system to detect potential risks and vulnerabilities more accurately. Additionally, I utilize artificial intelligence tools such as GPT to process and analyze data. These tools efficiently handle large volumes of text data and extract important information, further enhancing analytical capabilities and efficiency.

5.Please tell me about a challenge you faced.

During my undergraduate studies, while developing a life-learning management system, one of the main challenges was ensuring that each functional module on the Arduino operated without interference. This system included multiple functionalities such as learning management, home automation, and fitness tracking. It was crucial to ensure the stability and independence of each functional module. To address this issue, I used Astah software for modeling and designing the functional modules. Through Astah, I clarified the workflows and interactions of each module. In the actual implementation, I used Arduino to control each hardware device, ensuring they worked in harmony. For example, in managing home lighting and ventilation, I designed these two functions as independent modules, each with its own control logic and sensor inputs. Ultimately, the system successfully integrated multiple functions seamlessly, proving effective not only in learning management but also in home life and fitness management. This experience not only enhanced my technical skills but also taught me how to integrate various technologies to solve complex real-world problems using systematic design and tools.

6.How do you share knowledge and skills within a team?

Firstly, I actively offer help and support. When team members face difficulties at work or need advice, I provide as much assistance as possible, sharing my experiences and knowledge. This not only solves specific problems but also enhances team cohesion. Next, I emphasize systematic organization and dissemination of knowledge. Through creating documentation and conducting internal training sessions, I convey my knowledge and skills to team members. Lastly, I believe that continuous learning and self-improvement are the foundations of knowledge sharing. By maintaining an open mind, actively learning new technologies and methods, and sharing this new knowledge with the team, we can grow together and maintain our technical edge as a team.