Wei-Cheng Wang
Wei-Cheng Wang 王偉丞

Ph.D.
Identifying where lab-validated ML breaks in the field.

Based in Ghent until August 2026, returning to Taiwan thereafter.
Open to AS / RE roles, remote interviews available now.

I am currently working on synthetic data generation, extending my PhD research line to cross-environment ML transfer and explainable AI. Recently built a cost-efficient multi-agent LLM orchestration pipeline as PoC, and submitted a Google TPU Research Cloud proposal.

In 2025, I completed my Ph.D. at Ghent University-imec, and was previously a RA at Academia Sinica. Both my PhD and MSc research were conducted on real-world data, covering 5000+ hours of uncurated audio streams and extended video across multiple deployment sites.

My research focuses on building solutions at the mechanism-level while under real-world constraints. Recognition includes 13 peer-reviewed articles (7 journals, ICIP oral), 150+ citations, APICTA award, and Top 3% master’s graduate honor.

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Interests
  • Deep Learning
  • Computer Vision
  • Audio Privacy
Education

  • PhD in Computer Science Engineering

    Ghent University, Belgium

  • MSc in Computer and Communication Engineering

    National Cheng Kung University, Taiwan

  • BSc in Electrical Engineering

    National Cheng Kung University, Taiwan

Featured Projects
Multi-Agent Orchestration PoC: Validating Design Decisions Before TPU Scale
From Lab to Street：Transferable and Privacy-friendly Deep Learning for Urban Surveillance
SenseCity: 5000-Hour Real-World Acoustic Surveillance Study
Publications
Wei-Cheng Wang, Sam Leroux, Pieter Simoens (2025). Source-Free Model Transferability Assessment for Smart Surveillance via Randomly Initialized Networks. Sensors(JCR Q2).
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Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens (2025). Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data. Frontiers in Robotics & AI (Scopus Top 25%).
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Sander De Coninck, Wei-Cheng Wang, Sam Leroux, Pieter Simoens (2024). Privacy-preserving visual analysis: training video obfuscation models without sensitive labels. Applied Intelligence (Scopus Top 19%).
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Wei-Cheng Wang, Sander De Coninck, Sam Leroux, Pieter Simoens (2022). An Opt-in Framework for Privacy Protection in Audio-Based Applications. IEEE Pervasive Computing (Scopus Top 40%).
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Sander De Coninck, Wei-Cheng Wang, Sam Leroux, Pieter Simoens (2022). Selective manipulation of disentangled representations for privacy-aware facial image processing. In MLCS @ ECML PKDD 2022.
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Chien-Yu Chiou, Wei-Cheng Wang, Shueh-Chou Lu, Chun-Rong Huang, Pau-Choo Chung, Yun-Yang Lai (2019). Driver Monitoring Using Sparse Representation With Part-Based Temporal Face Descriptors. IEEE T-ITS (Scopus Top 3%).
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Wei-Cheng Wang, Yen-Yu Lin, Hsin-Wei Cheng, Chun-Rong Huang (2018). Clustering Trajectories in Heterogeneous Representations for Video Event Detection. IEEE ICIP 2018.
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Chun-Rong Huang, Wei-Cheng Wang, Wei-an Wang, Szu-Yu Lin, Yen-Yu Lin (2018). USEAQ: Ultra-Fast Superpixel Extraction via Adaptive Sampling From Quantized Regions. IEEE T-IP (Scopus Top 1%).
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Wei-Cheng Wang, Chien-Yu Chiou, Chun-Rong Huang, Pau-Choo Chung, Wei-Yun Huang (2018). Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos. IEEE T-CSVT (Scopus Top 3%).
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Wei-Cheng Wang, Pau-Choo Chung, Chun-Rong Huang, Wei-Yun Huang (2017). Event based surveillance video synopsis using trajectory kinematics descriptors. IAPR MVA 2017.
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Wen-Yu Huang, Wei-Cheng Wang, Ching-Long Chang, Wei-an Wang, Chun-Rong Huang (2016). Trajectory clustering using affinity propagation with trajectory entropy descriptor. ICIAE 2016.
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Wei-Cheng Wang, Ru-Yun Hsu, Chun-Rong Huang, Li-You Syu (2015). Video gender recognition using temporal coherent face descriptor. IEEE/ACIS SNPD 2015.
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Wei-Cheng Wang, Pau-Choo Chung, Hsin-Wei Cheng, Chun-Rong Huang (2015). Trajectory kinematics descriptor for trajectory clustering in surveillance videos. IEEE ISCAS 2015.
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Awards
Dual Master’s Thesis Award
The Chinese Image Processing and Pattern Society & The Chinese Institute of Electrical Engineering ∙ August 2016
My master’s thesis, Spatiotemporal Coherence based Annotation Placement for Surveillance Videos, received national recognition from two distinct professional societies. It was awarded the Best Master’s Thesis Award by the Chinese Image Processing and Pattern Society for its contributions to the field, and concurrently received the Excellent Master’s Thesis Award from the Chinese Institute of Electrical Engineering for its technical excellence.
Multiple International Awards
Asia Pacific ICT Alliance (APICTA) & International ICT Innovative Services Awards ∙ November 2015
As team leader, I led our project, Online Video Synopsis: Shorten Video Content for Flicking Through, to secure three major international awards in 2015. We achieved First Place (USD $17,000 prize) for business potential and Second Place for innovation at the International ICT Innovative Services Awards. Concurrently, representing Taiwan as the national nominee, we won the Merit Award in the R&D category at the 17-economy Asia Pacific ICT Alliance (APICTA) Awards held in Sri Lanka.
International ICT Innovative Services Awards
International ICT Innovative Services Awards ∙ October 2015
Our project, Innovative Personal Driver Monitoring System, was recognized for its innovation in ICT applications, securing Second Place in its category at the International ICT Innovative Services Awards.