Guoyang Xie
Scholar

Guoyang Xie

Google Scholar ID: Xd95xOcAAAAJ
Algorithm Manager, Department of Intelligent Manufacturing, CATL
AI in Industrial ManufacturingRoboticsAnomaly Detection
Citations & Impact
All-time
Citations
913
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • 1. The President's Award, Full-volume quality inspection image storage with thousand-fold compression technology, 2024.
  • 2. The Innovation Star Award, Unsupervised anomaly detection for battery cell appearance, 2024.
  • 3. Papers:
  • - STAGE: Segmentation-oriented Industrial Anomaly Synthesis via Graded Diffusion with Explicit Mask Alignment, TIP, 2025
  • - FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis, NeurIPS, 2025
  • - ASBench: Image Anomalies Synthesis Benchmark for Anomaly Detection, TAI, 2025
  • - Enhancing Multimodal Learning via Hierarchical Fusion Architecture Search with Inconsistency Mitigation, IEEE TIP, 2025
  • - SARD: Segmentation-Aware Anomalies Synthesis via Region Constrained Diffusion with Discriminative Mask Guidance, ICMIANDC, 2025
  • - Trade-offs in Image Generation: How Do Different Dimensions Interact?, ICCV, 2025
  • - Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
Research Experience
  • Currently an Algorithm Manager in the Department of Intelligent Manufacturing at CATL. Previously, his research focused on anomaly detection and localization for both industrial and medical images.
Education
  • PhD in Machine Learning, University of Surrey, NICE Group, supervised by Prof. Yaochu Jin.
Background
  • Research Interests: AI for Manufacturing and Batteries. Professional Field: AI applications in smart manufacturing and batteries.
Miscellany
  • Contact: WeChat ID: xgy_cn