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ORCIDWeihao Yu 0002
Person information
- affiliation: Research Institute of China Telecom Corporate Ltd., Guangzhou, Guangdong, China
Other persons with the same name
- Weihao Yu 0001
![[0000-0003-3349-5890]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3349-5890")
— National University of Singapore, Singapore - Weihao Yu 0003 — Qingdao University, Qingdao, China (and 1 more)
- Weihao Yu 0004 — Shanghai Jiao Tong University, Shanghai, China
- Weihao Yu 0005 — Chinese University of Hong Kong, Hong Kong
- Weihao Yu 0006 — Institute of Intelligent Information Processing, Institute of Disaster Prevention, San He, China
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2020 – today
- 2024
[j11]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)- [j10]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) - [j9]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) - [c7]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 - [c6]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 - [c5]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 - 2023
- [j8]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) - [j7]Weihao Yu, Ke Ruan, Hong Tang, Jin Huang:
Routing hypergraph convolutional recurrent network for network traffic prediction. Appl. Intell. 53(12): 16126-16137 (2023) - [j6]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) - [j5]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) - [j4]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) - [c4]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 - [c3]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 - [i3]Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering. CoRR abs/2302.04545 (2023) - [i2]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) - 2022
- [j3]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) - [c2]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 - [i1]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) - 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) - 2020
- [c1]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
Coauthor Index
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