Attentiondrop for Convolutional Neural Networks. - Zhihao Ouyang; Yan Feng; Zihao He; Tianbo Hao; Tao Dai 001; Shu-Tao Xia (ICME, 2019)

Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. - Haoyu Liang; Zhihao Ouyang; Yuyuan Zeng; Hang Su 006; Zihao He; Shu-Tao Xia; Jun Zhu 001; Bo Zhang 010 (ECCV (2), 2020)

MambaIR: A Simple Baseline for Image Restoration with State-Space Model. - Hang Guo; Jinmin Li; Tao Dai 001; Zhihao Ouyang; Xudong Ren; Shu-Tao Xia (ECCV (18), 2024)

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. - Hang Guo; Tao Dai 001; Zhihao Ouyang; Taolin Zhang 003; Yaohua Zha; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. - Yaohua Zha; Naiqi Li; Yanzi Wang; Tao Dai 001; Hang Guo; Bin Chen 011; Zhi Wang 001; Zhihao Ouyang; Shu-Tao Xia (NeurIPS, 2024)

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. - Yaohua Zha; Tao Dai 001; Yanzi Wang; Hang Guo; Taolin Zhang 003; Zhihao Ouyang; Chunlin Fan; Bin Chen 011; Ke Chen; Shu-Tao Xia (CoRR, 2024)

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. - Yaohua Zha; Yanzi Wang; Hang Guo; Jinpeng Wang 002; Tao Dai 001; Bin Chen 011; Zhihao Ouyang; Xue Yuerong; Ke Chen; Shu-Tao Xia (CVPR, 2025)

MQAD: A Large-Scale Question Answering Dataset for Training Music Large Language Models. - Zhihao Ouyang; Ju-Chiang Wang; Daiyu Zhang; Bin Chen; Shangjie Li; Quan Lin (ICASSP, 2025)

Salient Object Detection Based on Star Operation and Lightweight Multi-scale Fusion Attention. - Chaoyue Wu; Shengwei Tian; Long Yu 001; Jinmiao Song; Zhihao Ouyang; Xiao Yuan (ICIC (19), 2025)