Academic Profile

Master of University of California, Berkeley with 7+ years of hands-on experience of predictive modeling, ETL, Data visualization, Data warehousing in big data area. Familiar with AWS/Azure tools, machine learning algorithms, Airflow, SOL Server, My SOL, HiveQL. Spark SOL and Apache Doris development, Familiar with Python, Tableau, Power BI to do data processing/analysis. Industrial background: 7+ years of experience in semi-conductor, finance and e-commerce industry Sensitive to data and comfortable to work in different industries. Personalities: Self-motivated, life-time learner, Good at team work and time management.

Editorial Roles

No Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

ICCK Publications

Total Publications: 1
Open Access | Research Article | 09 January 2026
Multi-Modal Fusion for Yield Optimization: Integrating Wafer Maps, Metrology, and Process Logs with Graph Models
ICCK Transactions on Emerging Topics in Artificial Intelligence | Volume 3, Issue 1: 45-60, 2026 | DOI: 10.62762/TETAI.2025.259226
Abstract
Yield optimization in advanced manufacturing rarely proceeds as a tidy pipeline; it arises from the gradual convergence of evidence across spatial wafer patterns, multivariate metrology, and asynchronous process and equipment events that interact in ways that are only partially observable. Prior studies often separate these modalities, assigning convolutional encoders to wafer maps, sequence models to metrology, and template based encoders to logs, an arrangement that can perform well locally yet struggles to sustain cross-modal alignment or to reason over the hierarchy that links defects to steps and equipment. Building on these observations, we introduce a manufacturing semantics oriented... More >

Graphical Abstract
Multi-Modal Fusion for Yield Optimization: Integrating Wafer Maps, Metrology, and Process Logs with Graph Models