MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition. - Yunhao Wang; Huixin Sun; Xiaodi Wang; Bin Zhang; Chao Li 034; Ying Xin; Baochang Zhang 001; Errui Ding; Shumin Han (CoRR, 2022)

Q-YOLO: Efficient Inference for Real-Time Object Detection. - Mingze Wang; Huixin Sun; Jun Shi; Xuhui Liu; Xianbin Cao 001; Luping Zhang; Baochang Zhang 001 (ACPR (3), 2023)

Confidence-driven Bounding Box Localization for Small Object Detection. - Huixin Sun; Baochang Zhang 001; Yanjing Li; Xianbin Cao 001 (CoRR, 2023)

Q-YOLO: Efficient Inference for Real-time Object Detection. - Mingze Wang; Huixin Sun; Jun Shi; Xuhui Liu; Baochang Zhang 001; Xianbin Cao 001 (CoRR, 2023)

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. - Runqi Wang; Huixin Sun; Linlin Yang; Shaohui Lin; Chuanjian Liu; Yan Gao 017; Yao Hu 002; Baochang Zhang 001 (AAAI, 2024)

Research on thermal safety verification code recognition based on SENet and CTC networks. - Yanglai Huang; Pengfei Cui; Huixin Sun (PEAI, 2024)

P4Q: Learning to Prompt for Quantization in Visual-language Models. - Huixin Sun; Runqi Wang; Yanjing Li; Xianbin Cao 001; Xiaolong Jiang; Yao Hu 002; Baochang Zhang 001 (CoRR, 2024)

MAFormer: A transformer network with multi-scale attention fusion for visual recognition. - Huixin Sun; Yunhao Wang; Xiaodi Wang; Bin Zhang; Ying Xin; Baochang Zhang 001; Xianbin Cao 001; Errui Ding; Shumin Han (Neurocomputing, 2024)

SET: Spectral Enhancement for Tiny Object Detection. - Huixin Sun; Runqi Wang; Yanjing Li; Linlin Yang; Shaohui Lin; Xianbin Cao 001; Baochang Zhang 001 (CVPR, 2025)