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Weihao Yu
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2020 – today
- 2024
- [j14]Ruzhong Xie, Ke Ruan, Bosong Huang, Weihao Yu, Jing Xiao, Jin Huang:
TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation. Appl. Intell. 54(21): 10320-10332 (2024) - [j13]Bosong Huang, Weihao Yu, Ruzhong Xie, Junming Luo, Jing Xiao, Jin Huang:
Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering. Knowl. Based Syst. 291: 111590 (2024) - [j12]Yichun Li, Jin Huang, Weihao Yu, Tinghua Zhang:
Neighborhood-enhanced contrast for pre-training graph neural networks. Neural Comput. Appl. 36(8): 4195-4205 (2024) - [j11]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 896-912 (2024) - [c31]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CVPR 2024: 5672-5683 - [c30]Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan:
GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation. ECCV (4) 2024: 168-187 - [c29]Runpeng Yu, Weihao Yu, Xinchao Wang:
Attention Prompting on Image for Large Vision-Language Models. ECCV (30) 2024: 251-268 - [c28]Dongze Lian, Weihao Yu, Xinchao Wang:
Receptive Fields As Experts in Convolutional Neural Architectures. ICML 2024 - [c27]Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang:
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. ICML 2024 - [c26]Yingchao Long, Weihao Yu, Jin Huang, Tinghua Zhang, Nanhui Lai:
MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing. IJCNN 2024: 1-8 - [c25]Qiangqiang Xiang, Jing Xiao, Weihao Yu, Tinghua Zhang, Jin Huang, Zhixiong Mo:
NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields. IJCNN 2024: 1-7 - [c24]Chenxin Li, Brandon Y. Feng, Yifan Liu, Hengyu Liu, Cheng Wang, Weihao Yu, Yixuan Yuan:
EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting. MICCAI (6) 2024: 252-262 - [c23]Weijun Wu, Zhixiong Mo, Weihao Yu, Yizhou Cheng, Tinghua Zhang, Jin Huang:
Generalizable Geometry-Aware Human Radiance Modeling from Multi-view Images. PRCV (6) 2024: 95-109 - [i28]Weihao Yu, Xinchao Wang:
MambaOut: Do We Really Need Mamba for Vision? CoRR abs/2405.07992 (2024) - [i27]Chenxin Li, Brandon Y. Feng, Yifan Liu, Hengyu Liu, Cheng Wang, Weihao Yu, Yixuan Yuan:
EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting. CoRR abs/2407.01029 (2024) - [i26]Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan:
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation. CoRR abs/2407.05540 (2024) - [i25]Runpeng Yu, Weihao Yu, Xinchao Wang:
KAN or MLP: A Fairer Comparison. CoRR abs/2407.16674 (2024) - [i24]Weihao Yu, Zhengyuan Yang, Linfeng Ren, Linjie Li, Jianfeng Wang, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang, Xinchao Wang:
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. CoRR abs/2408.00765 (2024) - [i23]Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang:
LinFusion: 1 GPU, 1 Minute, 16K Image. CoRR abs/2409.02097 (2024) - [i22]Runpeng Yu, Weihao Yu, Xinchao Wang:
Attention Prompting on Image for Large Vision-Language Models. CoRR abs/2409.17143 (2024) - 2023
- [j10]Xianqing Wang, Zetao Zheng, Jia Zhu, Weihao Yu:
What is wrong with deep knowledge tracing? Attention-based knowledge tracing. Appl. Intell. 53(3): 2850-2861 (2023) - [j9]Weihao Yu, Ke Ruan, Hong Tang, Jin Huang:
Routing hypergraph convolutional recurrent network for network traffic prediction. Appl. Intell. 53(12): 16126-16137 (2023) - [j8]Zehua Hu, Ke Ruan, Weihao Yu, Siyuan Chen:
Enhanced edge convolution-based spatial-temporal network for network traffic prediction. Appl. Intell. 53(19): 22031-22043 (2023) - [j7]Bosong Huang, Ke Ruan, Weihao Yu, Jing Xiao, Ruzhong Xie, Jin Huang:
ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario. Expert Syst. Appl. 222: 119835 (2023) - [j6]Jin Huang, Tian Lu, Xuebin Zhou, Bo Cheng, Zhibin Hu, Weihao Yu, Jing Xiao:
HyperDNE: Enhanced hypergraph neural network for dynamic network embedding. Neurocomputing 527: 155-166 (2023) - [j5]Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
TNN: Tree Neural Network for Airway Anatomical Labeling. IEEE Trans. Medical Imaging 42(1): 103-118 (2023) - [c22]Zhixiong Mo, Weijun Wu, Weihao Yu, Tinghua Zhang, Zhilin Ke, Jin Huang:
Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling. ICANN (3) 2023: 389-401 - [c21]Tiancheng Cao, Weihao Yu, Yuan Gao, Chen Liu, Shuicheng Yan, Wang Ling Goh:
RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications. ISCAS 2023: 1-5 - [c20]Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang:
AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling. MICCAI (7) 2023: 393-402 - [c19]Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems. ECML/PKDD (3) 2023: 325-340 - [i21]Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering. CoRR abs/2302.04545 (2023) - [i20]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CoRR abs/2303.16900 (2023) - [i19]Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems. CoRR abs/2304.08841 (2023) - [i18]Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang:
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. CoRR abs/2308.02490 (2023) - 2022
- [j4]Jin Huang, Tian Lu, Jia Zhu, Weihao Yu, Tinghua Zhang:
Multi-relational knowledge graph completion method with local information fusion. Appl. Intell. 52(7): 7985-7994 (2022) - [j3]Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu:
LTSP: long-term slice propagation for accurate airway segmentation. Int. J. Comput. Assist. Radiol. Surg. 17(5): 857-865 (2022) - [c18]Wentai Zhu, Ke Ruan, Jin Huang, Jing Xiao, Weihao Yu:
Dynamic Graph Representation Based on Temporal and Contextual Contrasting. ACAI 2022: 111:1-111:8 - [c17]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CVPR 2022: 10809-10819 - [c16]Jianwei Cai, Kun Fang, Weihao Yu, Jie Yang, Yu Qiao:
Local-Global Semantic Fusion Single-shot Classification Method. ICONIP (1) 2022: 128-139 - [c15]Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang:
Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding. ISBI 2022: 1-5 - [c14]Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. iMIMIC@MICCAI 2022: 1-11 - [c13]Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang:
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction. MILLanD@MICCAI 2022: 42-51 - [c12]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. NeurIPS 2022 - [i17]Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang:
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding. CoRR abs/2202.00002 (2022) - [i16]Yangqian Wu, Minghui Zhang, Weihao Yu, Hao Zheng, Jiasheng Xu, Yun Gu:
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation. CoRR abs/2202.06260 (2022) - [i15]Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan:
Mugs: A Multi-Granular Self-Supervised Learning Framework. CoRR abs/2203.14415 (2022) - [i14]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. CoRR abs/2205.12956 (2022) - [i13]Hanxiao Zhang, Xiao Gu, Minghui Zhang, Weihao Yu, Liang Chen, Zhexin Wang, Feng Yao, Yun Gu, Guang-Zhong Yang:
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction. CoRR abs/2207.14238 (2022) - [i12]Jin Huang, Bosong Huang, Weihao Yu, Jing Xiao, Ruzhong Xie, Ke Ruan:
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario. CoRR abs/2208.08218 (2022) - [i11]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. CoRR abs/2210.13452 (2022) - 2021
- [j2]Jin Huang, Tinghua Zhang, Weihao Yu, Jia Zhu, Ercong Cai:
Community Detection Based on Modularized Deep Nonnegative Matrix Factorization. Int. J. Pattern Recognit. Artif. Intell. 35(2): 2159006:1-2159006:17 (2021) - [j1]Jin Huang, Tinghua Zhang, Jia Zhu, Weihao Yu, Yong Tang, Yang He:
A deep embedding model for knowledge graph completion based on attention mechanism. Neural Comput. Appl. 33(15): 9751-9760 (2021) - [c11]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. ACL/IJCNLP (Findings) 2021: 13-27 - [c10]Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. ICCV 2021: 538-547 - [c9]Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu:
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. DART/FAIR@MICCAI 2021: 25-34 - [i10]Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. CoRR abs/2101.11986 (2021) - [i9]Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng:
Refiner: Refining Self-attention for Vision Transformers. CoRR abs/2106.03714 (2021) - [i8]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. CoRR abs/2106.11740 (2021) - [i7]Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu:
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. CoRR abs/2109.02920 (2021) - [i6]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CoRR abs/2111.11418 (2021) - 2020
- [c8]Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung:
Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. AIED (2) 2020: 364-368 - [c7]Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng:
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. ICLR 2020 - [c6]Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. NeurIPS 2020 - [i5]Weihao Yu, Zihang Jiang, Yanfei Dong, Jiashi Feng:
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning. CoRR abs/2002.04326 (2020) - [i4]Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
ConvBERT: Improving BERT with Span-based Dynamic Convolution. CoRR abs/2008.02496 (2020)
2010 – 2019
- 2019
- [c5]Weihao Yu, Huai Chen, Lisheng Wang:
Dense attentional network for pancreas segmentation in abdominal CT scans. AIPR 2019: 83-87 - [c4]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CVPR 2019: 6163-6171 - [c3]Weijiang Yu, Jingwen Zhou, Weihao Yu, Xiaodan Liang, Nong Xiao:
Heterogeneous Graph Learning for Visual Commonsense Reasoning. NeurIPS 2019: 2765-2775 - [i3]Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin:
Knowledge-Embedded Routing Network for Scene Graph Generation. CoRR abs/1903.03326 (2019) - [i2]Weijiang Yu, Jingwen Zhou, Weihao Yu, Xiaodan Liang, Nong Xiao:
Heterogeneous Graph Learning for Visual Commonsense Reasoning. CoRR abs/1910.11475 (2019) - 2018
- [c2]Zhong Li, Jianqin An, Huichao Yin, Yutang Tian, Weihao Yu:
Study on Association Rules Between Earthquake Event and Earthquake Precursory Information Anomalies. CISP-BMEI 2018: 1-6 - [c1]Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. IJCAI 2018: 1021-1028 - [i1]Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. CoRR abs/1807.00504 (2018)
Coauthor Index
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last updated on 2024-11-15 20:35 CET by the dblp team
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