Research

My research interests include computer vision and computer graphics, but admittedly I am not an active researcher now. I still follow research trends and read arxiv papers from time to time. In the era of large models, I am a big fan of Efficient AI.

Recent Publications

A complete publication list can be found on my google scholar page.

1. Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei. ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models. To appear in AAAI 2025. [GitHub]
2. Han Yan, Celong Liu, Chao Ma, Xing Mei. PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering. In CVPR 2023. [project page]
3. Huaiyu Li, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Bao-Gang Hu. LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. In ICML 2019. [code]
4. Xing Mei, Honggang Qi, Bao-Gang Hu and Siwei Lyu. Improving Image Restoration with Soft-Rounding, In ICCV 2015. [pdf]
5. Xing Mei, Weiming Dong, Bao-Gang Hu and Siwei Lyu. UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints, In CVPR 2015. [pdf]
6. Xing Mei, Xun Sun, Weiming Dong, Haitao Wang and Xiaopeng Zhang. Segment-Tree based Cost Aggregation for Stereo Matching, In CVPR 2013. [pdf][code]