π¨π»βπ» About
I am Jing LAN (θι), I have four years of work experienwhce in data science and big data intelligence. I am currently seeking a Ph.D. opportunity. Before that, I received a double bachelorβdegree in a sino-french institute. I received my B.E. degree in Computer Science and Technology at Conservatoire national des arts et mΓ©tiers (le cnam) from in Jun. 2021, and B.E. degree in Software Engineering at DGUT-Cnam Institute from Dongguan Univ. of Technology with overall ranking (Top 1%).
During my time there, I was awarded First Class Scholarship three times. I also obtained several achievements in the Kaggle Competition and MCM/ICM Contest.
My research work covers a range of issues: artificial intelligence, data science and big data analytics. Currently, I am interested in applying AI and big data techniques to the field of biomedical & biopharmaceutical research. If you are interested in my work or would like to collaborate, please feel free to contact me.
π₯ News
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2021.06: π Obtained dual B.E. degrees in Computer Science from Conservatoire national des arts et mΓ©tiers (le cnam), France, and Software Engineering from Dongguan University of Technology (DGUT), China, graduating in the Top 1%.
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2020.07: π Published βResearch on Cybersecurity Risk Assessment in SCADA Networks Based on AHP-RSRβ at the International Conference on Communications, Information System and Computer Engineering (CISCE 2020). This work focuses on mathematical modeling and risk assessment in SCADA networks using the AHP-RSR methodology.
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2020.05: π Authored βResearch on the Application of Natural Language Processing in the Field of E-Commerceβ for the MCM/ICM Contest. The study explores the use of Word2vec, LSTM, PCA, and Grey Relational Analysis in enhancing e-commerce platforms.
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2020.01: π Completed βDesign and Implementation of a Machine Learning-based Third-Party Library Detection and Analysis System in Android Appsβ as a graduation report at Dongguan University of Technology. This project involves various machine learning techniques, including Support Vector Classification (SVC) and Random Forest (RF), for static analysis and library detection in Android applications.
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2020.01: π οΈ Launched Add Mask and Goggle, an innovative application that utilizes advanced face recognition algorithms to automatically overlay masks and goggles on user avatars. The accompanying article on SegmentFault has garnered over 11.2k page views.
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More
- 2021: π Recognized as **Sangfor Inc. 2021 Outstanding Lecturer & Co-founder**, and served as **Advisor of the Torchlight Project**.
- 2020: π₯ Achieved **Silver Medal (Top 1%)** in the **Kaggle Competition: M5 Forecasting - Accuracy**.
- 2020: π₯ Obtained **Meritorious Winner (Top 7%)** in the **Mathematical Contest in Modeling (MCM/ICM)**, USA.
- 2019: π₯ Secured **Second Prize** in the **RoboMaster Robotics Competition (World Final)**, China.
- 2019: π Earned the **Grand Prize** in the **RoboMaster Robotics Competition (International Area)**, China.
- 2019: π₯ Won **Second Prize** in the **RoboMaster Technical Challenge (Hero Shooting)**, China.
- 2019: π₯ Achieved **Second Prize** in the **National College Student Information Security Contest (South China Area)**, China.
- 2019: π Received a **Participation Award** at the **IEEE ICRA International RoboMaster AI Challenge**, Canada.
- 2018: π₯ Secured **Second Prize** in the **RoboMaster Robotics Competition (International Area)**, China.
- 2017 β 2019: π Consistently awarded **Outstanding College Student & First Class Scholarship** at **Dongguan University of Technology**, China.
π Educations
2017.09 - 2021.06 B.E. degree
Computer Science and Technology
Conservatoire national des arts et mΓ©tiers (le cnam), France
2017.09 - 2021.06, B.E. degree
Software Engineering
DGUT-Cnam Institute
Dongguan University of Technology (DGUT), China
π» Experiences
- 2022 β Now Co-funder & Tech Lead, Shining-Data Information Technology Co., Ltd
- 2020 β 2022 Senior Researcher (Big Data Intelligence), Tencent Group (Cyber Defense Joint Lab)
- 2016 β 2019 Tech Lead, Kinetic Robotics Lab at Dongguan Univ. of Technology
- 2018 β 2020 Research Assistant, Innovation Lab of DGUT-Cnam Institute at Dongguan Univ. of Technology
π Publications
β Acceptance
Research on Cybersecurity Risk Assessment in SCADA Networks Based on AHP-RSR
Jing Lan
CISCE 2020 (Conference): International Conference on Communications, Information System and Computer Engineering
π Mathematical Modelling π AHP-RSR π SCADA Networks
Research on the Application of Natural Language Processing in the field of E-Commerce
Jing Lan, Kangye Xu, Zhentao Zhong
MCM/ICM (Contest): The Interdisciplinary Contest in Modeling (ICM)
π Word2vec π LSTM π PCA π Grey Relational Analysis
Design and Implementation of a Machine Learning-based Third-Party Library Detection and Analysis System in Android Apps
Jing Lan
Graduation Report: Dongguan Univ. of Technology
π Machine Learning π Static Analysis π Sequential Minimal Optimization (SMO) π Naive Bayes (NB) π Simple Logistic (SL) π Multilayer Perceptron (MLP) π Partial Decision Trees (PART) π Random Forest (RF) π Support Vector Classification (SVC).
π Honors
- 2021 β 2023 Sangfor Inc.: 2021 Outstanding Lecturer & Co-founder, Advisor of the Torchlight Project, China
- 2020 Kaggle Competition: M5 Forecasting - Accuracy Β· Silver Medal (Top 1%), Online
- 2020 MCM/ICM Contest (Mathematical Contest in Modeling) - Meritorious Winner (Top 7%), America
- 2019 RoboMaster Robotics Competition (World Final) - Second Prize, China
- 2019 RoboMaster Robotics Competition (International Area) - Grand Prize, China
- 2019 RoboMaster Technical Challenge (Hero Shooting) - Second Prize, China
- 2019 National College Student Information Security Contest (South China Area) - Second Prize, China
- 2019 IEEE ICRA International RoboMaster AI Challenge - Participation Award, Canada
- 2018 RoboMaster Robotics Competition (International Area) - Second Prize, China
- 2017 β 2019 Outstanding College Student & First Class Scholarship - Dongguan Univ. of Technology, China
π€ Talks
- Oral presentation in Guangzhou, China at CCF (China Computer Federation) Young Computer Scientists & Engineers Forum
π Services
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Guest Lecturer
Guangdong Postgraduate Summer School (Fang Binxing Academician Class) Summer Camp, Guangzhou University
DGUT-Cnam Institute, Dongguan Univ. of Technology
π Projects
- Edge-Based Object Detection with TensorFlow Lite
- Optional Integration with Google Coral USB Accelerator for Enhanced Performance
- By utilizing the lightweight MobileNet SSD v2 (COCO) model, the system maintains high accuracy while ensuring optimal performance on resource-constrained hardware.
Add Mask and Goggle: Get a mask and goggle for your avatar now!
- Face Detection: The application uses advanced face recognition algorithms to detect faces within the input images accurately.
- Overlay Accessories: Once faces are detected, the system overlays high-quality mask and goggles images aligned with the facial features.
- Customization: Users can customize the style and type of masks and goggles to match their preferences.
- Batch Processing: The tool can process multiple images simultaneously, making it efficient for handling large datasets.
- As of Sept. 2024, the article has received 11.2k+ page views [Article].
NumReg: Handwritten Numbers Recognition
- Multiple Machine Learning Models: Implemented and trained various classifiers including Logistic Regression, Linear SVM, Multilayer Perceptron (MLP) Neural Networks, and Stochastic Gradient Descent (SGD) Classifiers using Scikit-Learn, achieving over 95% accuracy on the MNIST handwritten digits dataset.
- Comprehensive Model Evaluation and Optimization: Conducted detailed performance assessments using metrics such as accuracy, precision, recall, and F1-score to compare different models, enabling the selection and fine-tuning of the most effective classifier for superior digit recognition performance.
- Efficient Model Deployment with Joblib: Utilized Joblib for serialization and persistence of trained models, facilitating seamless saving, loading, and deployment processes that support real-time digit.
© Jing LAN | Last updated: Nov. 2024