Weihao Yu

26 papers B 2Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A semantic driven adaptive framework for few-shot knowledge graph completion.
Neurocomputing
Chengjia Ouyang, Tinghua Zhang, Weihao Yu, Jin Huang
2025 — conf
A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting.
ICANN (3)
Nanhui Lai, Ke Jin, Yingchao Long, Weihao Yu, Jin Huang
2025 J jnl
A diffusion multi-interest framework for cross-domain recommendation.
Expert Syst. Appl.
Ke Jin, Weihao Yu, Yingchao Long, Nanhui Lai, Jin Huang
2025 J jnl
Evaluation and Optimization of Backbone Network Reliability Problems Using Decision Diagram Methods.
IEEE Trans. Netw. Serv. Manag.
Yingjun Ye, Ke Ruan, Weihao Yu
2024 — conf
Generalizable Geometry-Aware Human Radiance Modeling from Multi-view Images.
PRCV (6)
Weijun Wu, Zhixiong Mo, Weihao Yu, Yizhou Cheng, Tinghua Zhang, Jin Huang
2024 J jnl
Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering.
Knowl. Based Syst.
Bosong Huang, Weihao Yu, Ruzhong Xie, Junming Luo, Jing Xiao, Jin Huang
2024 B conf
MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing.
IJCNN
Yingchao Long, Weihao Yu, Jin Huang, Tinghua Zhang, Nanhui Lai
2024 B conf
NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields.
IJCNN
Qiangqiang Xiang, Jing Xiao, Weihao Yu, Tinghua Zhang, Jin Huang, Zhixiong Mo
2024 J jnl
Neighborhood-enhanced contrast for pre-training graph neural networks.
Neural Comput. Appl.
Yichun Li, Jin Huang, Weihao Yu, Tinghua Zhang
2024 — conf
Sequential Recommendation via Temporal Data Augmentation and Fourier Convolution.
ACAI
Junming Luo, Tinghua Zhang, Ke Jin, Weihao Yu, Jin Huang
2024 J jnl
TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation.
Appl. Intell.
Ruzhong Xie, Ke Ruan, Bosong Huang, Weihao Yu, Jing Xiao, Jin Huang
2023 J jnl
Enhanced edge convolution-based spatial-temporal network for network traffic prediction.
Appl. Intell.
Zehua Hu, Ke Ruan, Weihao Yu, Siyuan Chen
2023 — conf
Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling.
ICANN (3)
Zhixiong Mo, Weijun Wu, Weihao Yu, Tinghua Zhang, Zhilin Ke, Jin Huang
2023 J jnl
HyperDNE: Enhanced hypergraph neural network for dynamic network embedding.
Neurocomputing
Jin Huang, Tian Lu, Xuebin Zhou, Bo Cheng, Zhibin Hu, Weihao Yu, Jing Xiao
2023 J jnl
Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering.
CoRR
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
2023 J jnl
ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario.
Expert Syst. Appl.
Bosong Huang, Ke Ruan, Weihao Yu, Jing Xiao, Ruzhong Xie, Jin Huang
2023 J jnl
Routing hypergraph convolutional recurrent network for network traffic prediction.
Appl. Intell.
Weihao Yu, Ke Ruan, Hong Tang, Jin Huang
2023 — conf
Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.
ECML/PKDD (3)
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
2023 J jnl
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.
CoRR
Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang
2023 J jnl
What is wrong with deep knowledge tracing? Attention-based knowledge tracing.
Appl. Intell.
Xianqing Wang, Zetao Zheng, Jia Zhu, Weihao Yu
2022 — conf
Dynamic Graph Representation Based on Temporal and Contextual Contrasting.
ACAI
Wentai Zhu, Ke Ruan, Jin Huang, Jing Xiao, Weihao Yu
2022 J jnl
Multi-relational knowledge graph completion method with local information fusion.
Appl. Intell.
Jin Huang, Tian Lu, Jia Zhu, Weihao Yu, Tinghua Zhang
2022 J jnl
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario.
CoRR
Jin Huang, Bosong Huang, Weihao Yu, Jing Xiao, Ruzhong Xie, Ke Ruan
2021 J jnl
A deep embedding model for knowledge graph completion based on attention mechanism.
Neural Comput. Appl.
Jin Huang, Tinghua Zhang, Jia Zhu, Weihao Yu, Yong Tang, Yang He
2021 J jnl
Community Detection Based on Modularized Deep Nonnegative Matrix Factorization.
Int. J. Pattern Recognit. Artif. Intell.
Jin Huang, Tinghua Zhang, Weihao Yu, Jia Zhu, Ercong Cai
2020 — conf
Learning from Interpretable Analysis: Attention-Based Knowledge Tracing.
AIED (2)
Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung