Areas of Focus
- Machine Learning
- Computer Vision
- Large Model Architectures
Academic Background & Achievements
- Joined the Computer Science and Software School in July 2022
- Published over ten papers in high-level conferences and journals
Publications
- MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection, Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang*, Deng Cai, 2023
- PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer, Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang, 2023
- CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention, Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu, 2022
- Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph, Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang*, Wei Qian, Xiaofei He, Deng Cai, 2022
- Masked Autoencoders for Point Cloud Self-supervised Learning, Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan, 2022
- Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training, Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu, 2022
- Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework, Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu, 2021
- COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning, Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He, 2019
