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Yanhua Yu
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Journal Articles
- 2024
- [j4]Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua
:
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61(4): 103701 (2024) - 2014
- [j3]Yanhua Yu, Huili Liu, Seoung Dal Jung:
Structure and characterization of ruled surfaces in Euclidean 3-space. Appl. Math. Comput. 233: 252-259 (2014) - [j2]Yun Yang, Yanhua Yu, Huili Liu:
Flat centroaffine surfaces with parallel second fundamental form in R4. Appl. Math. Comput. 243: 775-788 (2014) - 2012
- [j1]Yanhua Yu, Meina Song, Junde Song:
A Novel Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series. J. Comput. 7(12): 2921-2930 (2012)
Conference and Workshop Papers
- 2024
- [c18]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. AAAI 2024: 14158-14166 - [c17]Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. KSEM (5) 2024: 3-16 - [c16]Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) 2024: 28-40 - [c15]Yuling Wang
, Changxin Tian
, Binbin Hu
, Yanhua Yu
, Ziqi Liu
, Zhiqiang Zhang
, Jun Zhou
, Liang Pang
, Xiao Wang
:
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW 2024: 3876-3887 - 2023
- [c14]Yuehan Wang, Siyuan Shen, Suan Xia, Ruiqian Li, Xingyue Peng, Yanhua Yu, Shiying Li, Jingyi Yu:
Neural Reconstruction through Scattering Media with Forward and Backward Losses. ICCP 2023: 1-12 - [c13]Yanhua Yu, Siyuan Shen, Zi Wang
, Binbin Huang, Yuehan Wang, Xingyue Peng, Suan Xia, Ping Liu, Ruiqian Li, Shiying Li:
Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms. ICCV 2023: 10529-10539 - [c12]Kangkang Lu, Yanhua Yu, Meiyu Liang, Min Zhang, Xiaowen Cao, Zehua Zhao, Mengran Yin, Zhe Xue:
Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval. ICME 2023: 126-131 - [c11]Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. IJCAI 2023: 2343-2351 - [c10]Min Feng
, Yanhua Yu
, Kangkang Lu
, Zirui Guo
, Xiuxiu Cai
, Jie Li
:
Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis. MLNLP 2023: 48-55 - 2022
- [c9]Ping Liu, Yanhua Yu, Zhengqing Pan, Xingyue Peng, Ruiqian Li, Yuehan Wang, Jingyi Yu, Shiying Li:
HiddenPose: Non-Line-of-Sight 3D Human Pose Estimation. ICCP 2022: 1-12 - [c8]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. IJCAI 2022: 2298-2304 - [c7]Yanhua Yu, Fangting Shen, Shengli Yang, Jie Li, Yuling Wang, Ang Ma:
Automatic Graph Generation for Document-Level Relation Extraction. IJCNN 2022: 1-7 - 2020
- [c6]Yunjie Ji, Hao Liu, Bolei He, Xinyan Xiao, Hua Wu, Yanhua Yu:
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification. EMNLP (1) 2020: 7012-7023 - 2018
- [c5]Baoan Zhang, Yanhua Yu, Jie Li:
Network Intrusion Detection Based on Stacked Sparse Autoencoder and Binary Tree Ensemble Method. ICC Workshops 2018: 1-6 - [c4]Zhuchen Liu, Hao Chen, Jie Li, Yanhua Yu:
PWA-PEM for Latent Tree Model and Hierarchical Topic Detection. Intelligent Information Processing 2018: 183-191 - 2013
- [c3]Yu Fu, Yanhua Yu, Meina Song, Xiaosu Zhan:
Mining Weighted Sequential Patterns in a Sequence Database with Itemset-Interval Measurement. ICPCA/SWS 2013: 88-98 - [c2]Ning Guo, Yanhua Yu, Meina Song, Junde Song, Yu Fu:
Soft-CsGDT: soft cost-sensitive Gaussian decision tree for cost-sensitive classification of data streams. BigMine 2013: 7-14 - 2012
- [c1]Yanhua Yu, Junde Song, Zhijun Ren:
A New Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series. ICPCA/SWS 2012: 775-787
Informal and Other Publications
- 2024
- [i6]Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. CoRR abs/2401.15603 (2024) - [i5]Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang:
GraphEdit: Large Language Models for Graph Structure Learning. CoRR abs/2402.15183 (2024) - [i4]Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. CoRR abs/2403.03714 (2024) - [i3]Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR abs/2403.04260 (2024) - 2023
- [i2]Binbin Huang, Xingyue Peng, Siyuan Shen, Suan Xia, Ruiqian Li, Yanhua Yu, Yuehan Wang, Shenghua Gao, Wenzheng Chen, Shiying Li, Jingyi Yu:
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction. CoRR abs/2304.10780 (2023) - 2022
- [i1]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. CoRR abs/2205.12076 (2022)
Coauthor Index
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