# Chun Chet Ng

> Chun Chet Ng is the Chief AI Officer at AI Lens Group in Malaysia, with a Ph.D. in Artificial Intelligence (Computer Vision) from the University of Malaya, building LLM-powered document intelligence, financial retrieval (RAG), OCR, and credit scoring systems for fintech, with a focus on underserved markets and MSME lending.

Key facts:

- Current role: Chief AI Officer, AI Lens Group (Apr 2024 - present). Leads a 16-person AI and engineering team delivering credit scoring and document intelligence platforms (bank statements, payslips, identity cards, invoices, financial statements, bureau reports) to multiple financial institutions in Malaysia, with seven-figure ARR (MYR). The platforms process 50,000+ documents per month at >95% extraction accuracy and <5s per page on on-premise infrastructure.
- Previous roles: Vice President of Engineering, Etch Media (Oct 2023 - Mar 2024); Part-time Instructor, Tibame Image Recognition (2023 - 2025); Part-time ML/AI Research Scientist, AkiraKan (Jan 2023 - Sep 2023); Part-time Research Intern, ViTrox Corporation (Mar 2020 - Dec 2022); Research Assistant, University of Malaya (Sep 2018 - Dec 2023).
- Education: Ph.D. in Artificial Intelligence (Computer Vision), University of Malaya (Sep 2018 - Dec 2023; thesis submitted December 2023, passed the viva and graduated December 2024). Thesis: "Optical Character Recognition Under Challenging Lighting Conditions". Bachelor of Computer Science (Honours) in Software Engineering, TARUMT (2015 - 2017, Distinction, CGPA 3.97/4.00).
- Research areas: scene text detection and recognition, low-light image enhancement, integrated circuit text datasets (ICText), financial retrieval, bank-statement analytics for MSME credit scoring.
- Certifications: NVIDIA Certified Professional: Generative AI LLMs (2026); Microsoft Certified: Azure Administrator Associate (2025); Generative AI with Large Language Models, DeepLearning.AI & AWS (2024).
- Awards: Poster Paper Award, FinLLM Symposium @ IJCAI 2026 (PRISM); 3rd place, ACM ICAIF 2025 Agentic Retrieval for Financial Documents Grand Challenge.
- Reviewer for ACMMM, ICLR, Pattern Recognition, AAAI, CVPR, ECCV, ICCV, BMVC, and ICDAR.

## Profile

- [Personal website](https://chunchet.com/): Full profile with research, work, volunteer, education, and certifications
- [Resume (PDF)](https://chunchet.com/asset/ChunChet_Resume.pdf): 2-page industry resume
- [CV (PDF)](https://chunchet.com/asset/ChunChet_CV.pdf): Complete curriculum vitae
- [Google Scholar](https://scholar.google.com/citations?user=1lKI2vEAAAAJ&hl=en): Publications and citations
- [LinkedIn](https://www.linkedin.com/in/chunchet-ng/): Professional profile
- [GitHub](https://github.com/chunchet-ng/): Code and course materials

## Publications

- [Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing](https://ieeexplore.ieee.org/abstract/document/10222779): ICIP 2023
- [Extremely Low-Light Image Enhancement with Scene Text Restoration](https://ieeexplore.ieee.org/abstract/document/9956716): ICPR 2022
- [Competition on Integrated Circuit Text Spotting and Aesthetic Assessment](https://link.springer.com/chapter/10.1007/978-3-030-86337-1_44): ICDAR 2021
- [On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering](https://openaccess.thecvf.com/content_CVPR_2020/html/Wang_On_the_General_Value_of_Evidence_and_Bilingual_Scene-Text_Visual_CVPR_2020_paper.html): CVPR 2020
- [Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)](https://ieeexplore.ieee.org/document/8978157): ICDAR 2019
- [Competition on Large-Scale Street View Text with Partial Labeling (RRC-LSVT)](https://ieeexplore.ieee.org/document/8978143): ICDAR 2019
- [Unprecedented Usage of Pre-trained CNNs on Beauty Product](https://dl.acm.org/doi/abs/10.1145/3240508.3266433): ACM Multimedia 2018
- [Text In the Dark: Extremely Low-Light Text Image Enhancement](https://www.sciencedirect.com/science/article/abs/pii/S0923596524001231): Signal Processing: Image Communication, 2025
- [When IC Meets Text: Towards a Rich Annotated Integrated Circuit Text Dataset](https://www.sciencedirect.com/science/article/abs/pii/S003132032300821X): Pattern Recognition, 2024
- [PRISM: Prompt-Refined In-Context System Modeling for Financial Retrieval](https://arxiv.org/abs/2511.14130): EMNLP 2026 Industry Track. Poster Paper Award at FinLLM Symposium @ IJCAI 2026; oral at the 9th Workshop on Machine Learning in Finance @ KDD 2026
- [AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring](https://arxiv.org/abs/2510.16066): presented at The 2nd Workshop on Advances in Financial AI @ ICLR 2026. Earlier version, "Cash Flow Underwriting with Bank Transaction Data: Advancing MSME Financial Inclusion in Malaysia" (https://arxiv.org/abs/2510.16066v3): oral at AI for Financial Inclusion, Risk Modeling & Resilience in Emerging Markets @ ACM ICAIF 2025

## Optional

- [ICText dataset](https://ictext.v-one.my/): Integrated Circuit Text dataset co-organized for ICDAR 2021 RRC
- [ACM ICAIF 2025 Agentic Retrieval Grand Challenge](https://www.kaggle.com/competitions/acm-icaif-25-ai-agentic-retrieval-grand-challenge/leaderboard): 3rd place team