Zhuangcheng Gu, Guang Liang, Bin Wang, Chao Xu, Bo Zhang, Botian Shi, Conghui He. UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition. CVPR 2026.
MinerU Team. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing. Technical Report, 2025.
Guang Liang, Xinyao Liu, Jianxin Wu. GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers. NeurIPS 2025.
Guang Liang, Jie Shao, Ningyuan Tang, Xinyao Liu, Jianxin Wu. TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies. CVPR 2026.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA