Yanhua Yu

42 papers A* 8A 3B 3Journal 18Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Addressing graph heterogeneity and heterophily from a spectral perspective.
Neurocomputing
Kangkang Lu, Yanhua Yu, Ruopei Guo, Nan Cheng, Zhiyong Huang, Yunshan Ma, MeiYu Liang, Yuling Wang, Xiting Qin, Yimeng Ren, Tat-Seng Chua
2025 J jnl
A centralized discovery-based method for integrating Data Distribution Service and Time-Sensitive Networking for In-Vehicle Networks.
Ad Hoc Networks
Feng Luo, Yi Ren, Yanhua Yu, Yunpeng Li, Qin Liu, Xiaobo Zhang
2025 J jnl
Can Large Language Models Improve Spectral Graph Neural Networks?
CoRR
Kangkang Lu, Yanhua Yu, Zhiyong Huang, Tat-Seng Chua
2025 A* conf
DeepMolTex: Deep Alignment of Molecular Graphs with Large Language Models via Mixture of Modality Experts.
ACM Multimedia
Mingliang Yan, Yanhua Yu, Ruochi Zhang, Zhiyuan Liu, Ruicheng Zhang, Yimeng Ren, Kangkang Lu, Zhiyong Huang, Feng Luo, Zhen Cai
2025 A* conf
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
AAAI
Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai
2025 J jnl
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph.
CoRR
Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai
2025 — conf
LightRAG: Simple and Fast Retrieval-Augmented Generation.
EMNLP (Findings)
Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2025 A* conf
R2DQG: A Quality Meets Diversity Framework for Question Generation over Knowledge Bases.
IJCAI
Yimeng Ren, Yanhua Yu, Lizi Liao, Yuhu Shang, Kangkang Lu, Mingliang Yan
2024 J jnl
A Centralized Discovery-Based Method for Integrating Data Distribution Service and Time-Sensitive Networking in In-Vehicle Networks.
CoRR
Feng Luo, Yi Ren, Yanhua Yu, Yunpeng Li, Zitong Wang
2024 J jnl
Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network.
CoRR
Kangkang Lu, Yanhua Yu, Zhiyong Huang, Jia Li, Yuling Wang, MeiYu Liang, Xiting Qin, Yimeng Ren, Tat-Seng Chua, Xidian Wang
2024 — conf
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning.
KSEM (5)
Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua
2024 A* conf
Can Small Language Models be Good Reasoners for Sequential Recommendation?
WWW
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024 J jnl
Can Small Language Models be Good Reasoners for Sequential Recommendation?
CoRR
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024 J jnl
Cross-view hypergraph contrastive learning for attribute-aware recommendation.
Inf. Process. Manag.
Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua
2024 — conf
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation.
KSEM (1)
Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua
2024 J jnl
Evaluation of Vocational Education and Training Outcomes Based on Mobile Learning.
Int. J. Interact. Mob. Technol.
Yanhua Yu
2024 J jnl
GraphEdit: Large Language Models for Graph Structure Learning.
CoRR
Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
2024 A conf
Hop-based Heterogeneous Graph Transformer.
ECAI
Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua
2024 A* conf
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction.
AAAI
Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, MeiYu Liang, Mengran Yin, Tat-Seng Chua
2024 J jnl
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction.
CoRR
Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, MeiYu Liang, Mengran Yin, Tat-Seng Chua
2024 A conf
Information-Controllable Graph Contrastive Learning for Recommendation.
RecSys
Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua
2024 J jnl
Intent-aware Recommendation via Disentangled Graph Contrastive Learning.
CoRR
Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2024 J jnl
LightRAG: Simple and Fast Retrieval-Augmented Generation.
CoRR
Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2023 A conf
Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval.
ICME
Kangkang Lu, Yanhua Yu, MeiYu Liang, Min Zhang, Xiaowen Cao, Zehua Zhao, Mengran Yin, Zhe Xue
2023 A* conf
Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms.
ICCV
Yanhua Yu, Siyuan Shen, Zi Wang, Binbin Huang, Yuehan Wang, Xingyue Peng, Suan Xia, Ping Liu, Ruiqian Li, Shiying Li
2023 A* conf
Intent-aware Recommendation via Disentangled Graph Contrastive Learning.
IJCAI
Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2023 B conf
Neural Reconstruction through Scattering Media with Forward and Backward Losses.
ICCP
Yuehan Wang, Siyuan Shen, Suan Xia, Ruiqian Li, Xingyue Peng, Yanhua Yu, Shiying Li, Jingyi Yu
2023 J jnl
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction.
CoRR
Binbin Huang, Xingyue Peng, Siyuan Shen, Suan Xia, Ruiqian Li, Yanhua Yu, Yuehan Wang, Shenghua Gao, Wenzheng Chen, Shiying Li, Jingyi Yu
2023 — conf
Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis.
MLNLP
Min Feng, Yanhua Yu, Kangkang Lu, Zirui Guo, Xiuxiu Cai, Jie Li
2022 B conf
Automatic Graph Generation for Document-Level Relation Extraction.
IJCNN
Yanhua Yu, Fangting Shen, Shengli Yang, Jie Li, Yuling Wang, Ang Ma
2022 A* conf
Ensemble Multi-Relational Graph Neural Networks.
IJCAI
Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
2022 J jnl
Ensemble Multi-Relational Graph Neural Networks.
CoRR
Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
2022 B conf
HiddenPose: Non-Line-of-Sight 3D Human Pose Estimation.
ICCP
Ping Liu, Yanhua Yu, Zhengqing Pan, Xingyue Peng, Ruiqian Li, Yuehan Wang, Jingyi Yu, Shiying Li
2020 — conf
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification.
EMNLP (1)
Yunjie Ji, Hao Liu, Bolei He, Xinyan Xiao, Hua Wu, Yanhua Yu
2018 — conf
Network Intrusion Detection Based on Stacked Sparse Autoencoder and Binary Tree Ensemble Method.
ICC Workshops
Baoan Zhang, Yanhua Yu, Jie Li
2018 — conf
PWA-PEM for Latent Tree Model and Hierarchical Topic Detection.
IIP
Zhuchen Liu, Hao Chen, Jie Li, Yanhua Yu
2014 J jnl
Flat centroaffine surfaces with parallel second fundamental form in R
Appl. Math. Comput.
Yun Yang, Yanhua Yu, Huili Liu
2014 J jnl
Structure and characterization of ruled surfaces in Euclidean 3-space.
Appl. Math. Comput.
Yanhua Yu, Huili Liu, Seoung Dal Jung
2013 — conf
Mining Weighted Sequential Patterns in a Sequence Database with Itemset-Interval Measurement.
ICPCA/SWS
Yu Fu, Yanhua Yu, Meina Song, Xiaosu Zhan
2013 — conf
Soft-CsGDT: soft cost-sensitive Gaussian decision tree for cost-sensitive classification of data streams.
BigMine
Ning Guo, Yanhua Yu, Meina Song, Junde Song, Yu Fu
2012 — conf
A New Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series.
ICPCA/SWS
Yanhua Yu, Junde Song, Zhijun Ren
2012 J jnl
A Novel Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series.
J. Comput.
Yanhua Yu, Meina Song, Junde Song