Scholar
Xiawu Zheng
Google Scholar ID: jBgXocYAAAAJ
Associate Professor, IEEE Senior Member, Xiamen University
Citations & Impact
Citations
6,197
H-index
30
i10-index
53
Publications
20
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2021.
- Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2021.
- An Information Theory-inspired Strategy for Automatic Network Pruning. International Journal of Computer Vision (IJCV) 2025.
- DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. International Journal of Computer Vision (IJCV) 2023.
- Training-free Transformer Architecture Search with Zero-cost Proxy Guided Evolution. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
- Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
- Binarized Neural Architecture Search for Efficient Object Recognition. International Journal of Computer Vision (IJCV) 2021.
- A Unified Framework for Soft Threshold Pruning. ICLR 2023
- Meta Architecure for Point Cloud Analysis. CVPR 2023
- Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. CVPR 2023
- Neural Architecture Search with Representation Mutual Information. CVPR 2022
- Training-free Transformer Architecture Search. CVPR 2022
- EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS. ICCV 2021
- PAMS: Quantized Super-Resolution via Parameterized Max Scale. ECCV, 2020.
Research Experience
- Worked as a postdoc researcher at Pengcheng National Lab, collaborating with Yonghong Tian, Rongrong Ji, and Jie Chen.
Education
- Received a Ph.D. from Xiamen University under the supervision of Prof. Rongrong Ji.
Background
- Currently an associate professor at Xiamen University, with research interests including model compression, neural architecture search, and automated machine learning.
