Deep Reasoning with Knowledge Graph for Social Relationship Understanding. - Zhouxia Wang; Tianshui Chen; Jimmy S. J. Ren; Weihao Yu 001; Hui Cheng; Liang Lin (IJCAI, 2018)

Knowledge-Embedded Routing Network for Scene Graph Generation. - Tianshui Chen; Weihao Yu 001; Riquan Chen; Liang Lin (CVPR, 2019)

Heterogeneous Graph Learning for Visual Commonsense Reasoning. - Weijiang Yu; Jingwen Zhou; Weihao Yu 001; Xiaodan Liang; Nong Xiao (NeurIPS, 2019)

ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. - Weihao Yu 001; Zihang Jiang; Yanfei Dong; Jiashi Feng (ICLR, 2020)

ConvBERT: Improving BERT with Span-based Dynamic Convolution. - Zihang Jiang; Weihao Yu 001; Daquan Zhou; Yunpeng Chen; Jiashi Feng; Shuicheng Yan (NeurIPS, 2020)

LV-BERT: Exploiting Layer Variety for BERT. - Weihao Yu 001; Zihang Jiang; Fei Chen 013; Qibin Hou; Jiashi Feng (ACL/IJCNLP (Findings), 2021)

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Li Yuan 007; Yunpeng Chen; Tao Wang 053; Weihao Yu 001; Yujun Shi; Zihang Jiang; Francis E. H. Tay; Jiashi Feng; Shuicheng Yan (ICCV, 2021)

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. - Li Yuan 007; Yunpeng Chen; Tao Wang 053; Weihao Yu 001; Yujun Shi; Francis E. H. Tay; Jiashi Feng; Shuicheng Yan (CoRR, 2021)

Refiner: Refining Self-attention for Vision Transformers. - Daquan Zhou; Yujun Shi; Bingyi Kang; Weihao Yu 001; Zihang Jiang; Li Yuan 007; Xiaojie Jin; Qibin Hou; Jiashi Feng (CoRR, 2021)

MetaFormer is Actually What You Need for Vision. - Weihao Yu 001; Mi Luo; Pan Zhou 002; Chenyang Si; Yichen Zhou; Xinchao Wang; Jiashi Feng; Shuicheng Yan (CVPR, 2022)

Inception Transformer. - Chenyang Si; Weihao Yu 001; Pan Zhou 002; Yichen Zhou; Xinchao Wang; Shuicheng Yan (NeurIPS, 2022)

Mugs: A Multi-Granular Self-Supervised Learning Framework. - Pan Zhou 002; Yichen Zhou; Chenyang Si; Weihao Yu 001; Teck Khim Ng; Shuicheng Yan (CoRR, 2022)

RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications. - Tiancheng Cao; Weihao Yu 001; Yuan Gao 011; Chen Liu 009; Shuicheng Yan; Wang Ling Goh (ISCAS, 2023)

InceptionNeXt: When Inception Meets ConvNeXt. - Weihao Yu 001; Pan Zhou 002; Shuicheng Yan; Xinchao Wang (CVPR, 2024)

Attention Prompting on Image for Large Vision-Language Models. - Runpeng Yu; Weihao Yu 001; Xinchao Wang (ECCV (30), 2024)

Receptive Fields As Experts in Convolutional Neural Architectures. - Dongze Lian; Weihao Yu 001; Xinchao Wang (ICML, 2024)

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. - Weihao Yu 001; Zhengyuan Yang; Linjie Li; Jianfeng Wang; Kevin Lin; Zicheng Liu 001; Xinchao Wang; Lijuan Wang (ICML, 2024)

KAN or MLP: A Fairer Comparison. - Runpeng Yu; Weihao Yu 001; Xinchao Wang (CoRR, 2024)

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. - Weihao Yu 001; Zhengyuan Yang; Linfeng Ren; Linjie Li; Jianfeng Wang; Kevin Lin; Chung-Ching Lin; Zicheng Liu 001; Lijuan Wang; Xinchao Wang (CoRR, 2024)

LinFusion: 1 GPU, 1 Minute, 16K Image. - Songhua Liu; Weihao Yu 001; Zhenxiong Tan; Xinchao Wang (CoRR, 2024)

MetaFormer Baselines for Vision. - Weihao Yu 001; Chenyang Si; Pan Zhou 002; Mi Luo; Yichen Zhou; Jiashi Feng; Shuicheng Yan; Xinchao Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. - Weihao Yu 001; Zhengyuan Yang; Lingfeng Ren; Linjie Li; Jianfeng Wang; Kevin Lin; Chung-Ching Lin; Zicheng Liu 001; Lijuan Wang; Xinchao Wang (IEEE DataPort, 2024)

MambaOut: Do We Really Need Mamba for Vision? - Weihao Yu 001; Xinchao Wang (CVPR, 2025)

Edge PoolFormer: Modeling and Training of PoolFormer Network on RRAM Crossbar for Edge-AI Applications. - Tiancheng Cao; Weihao Yu 001; Yuan Gao 011; Chen Liu 009; Tantan Zhang; Shuicheng Yan; Wang Ling Goh (IEEE Trans. Very Large Scale Integr. Syst., 2025)

Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning. - Bonan li; Zicheng Zhang; Songhua Liu; Weihao Yu 001; Xinchao Wang (CoRR, 2025)