Chen-Chin Lin

Chen-Chin is a first-year graduate student at University of Illinois at Urbana-Champaign (UIUC), where he is pursuing a master's degree in information science. His educational background includes a bachelor's degree in Computer Science. Proficient in Python, C++, SQL, and R Language, he has three years of working experience.

Skills

Education

University of Illinois, Urbana-Champaign

National Chiao Tung University

Work Experience

National Yang Ming Chiao Tung University

• Led a team with six people applying deep learning (YOLO), REST API, and Python to design and implement a system called SJA that can reproduce users' social media news consumption (e.g., Facebook, Instagram, YouTube) using chronological screenshots input.

• Utilized active learning for model training to identify individual media content (e.g., posts, videos) and engagement events (e.g., interactions with comments or "liking" posts), achieving an F1 score exceeding 90% using 300 screenshots.

• Led a team of three to develop an app that not only delivers real-time news and notifications from nine media outlets but also captures user news consumption behaviors, including reading speed and triggers, applying Selenium, Beautiful Soup ,and Firebase (GCP).

• Performed a quantitative analysis by utilizing Python for clustering methods (K-means) and R for statistics, thereby establishing a relationship between perceived opportune moments for news notifications and deep news reading behaviors.

QNAP

• Discovered 4 vulnerabilities through white box penetration testing.

• Fought against virus and ransomware (Qsnatch), and built a monitor system applying domain generation algorithms to track Qsnatch.

• Enhanced the security of the NAS system and applications by integrating the principle of least privilege, among other measures. (MITRE)

• In charge of product security incident response, encompassing tasks such as identifying vulnerabilities, assessing their severity, addressing them, managing disclosure, and assigning Common Vulnerabilities and Exposures(CVE).

Project Demo

Screenshot Journey Auditor (SJA)

Publications

Scanning or Simply Unengaged in Reading? Opportune Moments for Pushed News Notifications and Their Relationship with Smartphone Users' Choice of News-reading Modes | Proceedings of the ACM on Human-Computer Interaction

News notifications on smartphones provide a convenient way to stay informed, but their delivery timing can influence user engagement. Despite this, research on the impact of notification timing on reading behavior remains limited. Therefore, we ...

https://dl.acm.org/doi/10.1145/3604268

Screenshot Journey Auditor: A Tool to Support Analysis of Smartphone Media Consumption Journey Using Screenshot Data | Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing

Department of Computer Science, National Yang Ming Chiao Tung University, Taiwan

https://dl.acm.org/doi/abs/10.1145/3500868.3559456

I’m Interested, but Can/Would Only Skim It: Studying Smartphone Users’ Receptivity to News Notifications | Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Institute of Service Science, National Tsing Hua University, Taiwan

https://dl.acm.org/doi/abs/10.1145/3460418.3479292

Occurrence and Triggers of Mobile News Exposure: A Screenshot-Based ESM Study | Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

National Yang Ming Chiao Tung University, Taiwan

https://dl.acm.org/doi/10.1145/3460418.3479291