Is Attention Better Than Matrix Decomposition? - Zhengyang Geng; Meng-Hao Guo; Hongxu Chen; Xia Li 005; Ke Wei; Zhouchen Lin (ICLR, 2021)

PCT: Point cloud transformer. - Meng-Hao Guo; Junxiong Cai; Zheng-Ning Liu; Tai-Jiang Mu; Ralph R. Martin; Shi-Min Hu 001 (Comput. Vis. Media, 2021)

Can attention enable MLPs to catch up with CNNs? - Meng-Hao Guo; Zheng-Ning Liu; Tai-Jiang Mu; Dun Liang; Ralph R. Martin; Shi-Min Hu 001 (Comput. Vis. Media, 2021)

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. - Meng-Hao Guo; Cheng-Ze Lu; Qibin Hou; Zhengning Liu; Ming-Ming Cheng; Shi-Min Hu 001 (NeurIPS, 2022)

Attention mechanisms in computer vision: A survey. - Meng-Hao Guo; Tian-Xing Xu; Jiang-Jiang Liu 001; Zheng-Ning Liu; Peng-Tao Jiang; Tai-Jiang Mu; Song-Hai Zhang; Ralph R. Martin; Ming-Ming Cheng; Shi-Min Hu 001 (Comput. Vis. Media, 2022)

Subdivision-based Mesh Convolution Networks. - Shi-Min Hu 001; Zheng-Ning Liu; Meng-Hao Guo; Junxiong Cai; Jiahui Huang; Tai-Jiang Mu; Ralph R. Martin (ACM Trans. Graph., 2022)

Long Range Pooling for 3D Large-Scale Scene Understanding. - Xiang-Li Li; Meng-Hao Guo; Tai-Jiang Mu; Ralph R. Martin; Shi-Min Hu 001 (CVPR, 2023)

Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks. - Meng-Hao Guo; Zheng-Ning Liu; Tai-Jiang Mu; Shi-Min Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MWFormer: Mesh Understanding with Window-based Transformer. - Hao-Yang Peng; Meng-Hao Guo; Zheng-Ning Liu; Yong-Liang Yang 002; Tai-Jiang Mu (Comput. Graph., 2023)

Visual attention network. - Meng-Hao Guo; Cheng-Ze Lu; Zheng-Ning Liu; Ming-Ming Cheng; Shi-Min Hu 001 (Comput. Vis. Media, 2023)

Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation. - Yi Zhang 099; Meng-Hao Guo; Miao Wang 004; Shi-Min Hu 001 (CVPR, 2024)

CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization. - Hao-Yang Peng; Jia-Peng Zhang; Meng-Hao Guo; Yan-Pei Cao; Shi-Min Hu 001 (ACM Trans. Graph., 2024)

Tuning Vision-Language Models With Multiple Prototypes Clustering. - Meng-Hao Guo; Yi Zhang 099; Tai-Jiang Mu; Sharon X. Huang; Shi-Min Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Adaptive Parameter Selection for Tuning Vision-Language Models. - Yi Zhang 099; Yi-Xuan Deng; Meng-Hao Guo; Shi-Min Hu 001 (CVPR, 2025)

Agentic Keyframe Search for Video Question Answering. - Sunqi Fan; Meng-Hao Guo; Shuojin Yang (CoRR, 2025)

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. - Meng-Hao Guo; Jiajun Xu; Yi Zhang 099; Jiaxi Song; Haoyang Peng; Yi-Xuan Deng; Xinzhi Dong; Kiyohiro Nakayama; Zhengyang Geng; Chen Wang 049; Bolin Ni; Guo-Wei Yang; et al. (CoRR, 2025)

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs. - Meng-Hao Guo; Xuanyu Chu; Qianrui Yang; Zhe-Han Mo; Yiqing Shen 005; Pei-lin Li; Xinjie Lin; Jinnian Zhang; Xin-Sheng Chen; Yi Zhang 099; Kiyohiro Nakayama; Zhengyang Geng; et al. (CoRR, 2025)

Quantum sealed-bid auction protocol based on secure multi-party sorting. - Yong-Li Tang; Kai-Xin Geng; Yong-Li Wang; Meng-Hao Guo; Xu-Hui Bu; Jin-Xia Yu (Quantum Inf. Process., 2025)

One Model to Rig Them All: Diverse Skeleton Rigging with UniRig. - Jia-Peng Zhang; Cheng-Feng Pu; Meng-Hao Guo; Yan-Pei Cao; Shi-Min Hu 001 (ACM Trans. Graph., 2025)