A New Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series. - Yanhua Yu; Junde Song; Zhijun Ren (ICPCA/SWS, 2012)

A Novel Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series. - Yanhua Yu; Meina Song; Junde Song (J. Comput., 2012)

Mining Weighted Sequential Patterns in a Sequence Database with Itemset-Interval Measurement. - Yu Fu; Yanhua Yu; Meina Song; Xiaosu Zhan (ICPCA/SWS, 2013)

Soft-CsGDT: soft cost-sensitive Gaussian decision tree for cost-sensitive classification of data streams. - Ning Guo; Yanhua Yu; Meina Song; Junde Song; Yu Fu (BigMine, 2013)

Flat centroaffine surfaces with parallel second fundamental form in R4. - Yun Yang; Yanhua Yu; Huili Liu (Appl. Math. Comput., 2014)

Structure and characterization of ruled surfaces in Euclidean 3-space. - Yanhua Yu; Huili Liu; Seoung Dal Jung (Appl. Math. Comput., 2014)

Network Intrusion Detection Based on Stacked Sparse Autoencoder and Binary Tree Ensemble Method. - Baoan Zhang; Yanhua Yu; Jie Li (ICC Workshops, 2018)

PWA-PEM for Latent Tree Model and Hierarchical Topic Detection. - Zhuchen Liu; Hao Chen; Jie Li; Yanhua Yu (IIP, 2018)

Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification. - Yunjie Ji; Hao Liu 026; Bolei He; Xinyan Xiao; Hua Wu 003; Yanhua Yu (EMNLP (1), 2020)

HiddenPose: Non-Line-of-Sight 3D Human Pose Estimation. - Ping Liu; Yanhua Yu; Zhengqing Pan; Xingyue Peng; Ruiqian Li; Yuehan Wang; Jingyi Yu; Shiying Li (ICCP, 2022)

Ensemble Multi-Relational Graph Neural Networks. - Yuling Wang; Hao Xu; Yanhua Yu; Mengdi Zhang 002; Zhenhao Li; Yuji Yang; Wei Wu 014 (IJCAI, 2022)

Automatic Graph Generation for Document-Level Relation Extraction. - Yanhua Yu; Fangting Shen; Shengli Yang; Jie Li; Yuling Wang; Ang Ma (IJCNN, 2022)

Neural Reconstruction through Scattering Media with Forward and Backward Losses. - Yuehan Wang; Siyuan Shen; Suan Xia; Ruiqian Li; Xingyue Peng; Yanhua Yu; Shiying Li; Jingyi Yu (ICCP, 2023)

Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms. - Yanhua Yu; Siyuan Shen; Zi Wang; Binbin Huang; Yuehan Wang; Xingyue Peng; Suan Xia; Ping Liu; Ruiqian Li; Shiying Li (ICCV, 2023)

Deep Unsupervised Momentum Contrastive Hashing for Cross-modal Retrieval. - Kangkang Lu 002; Yanhua Yu; Meiyu Liang; Min Zhang; Xiaowen Cao; Zehua Zhao; Mengran Yin; Zhe Xue (ICME, 2023)

Intent-aware Recommendation via Disentangled Graph Contrastive Learning. - Yuling Wang; Xiao Wang; Xiangzhou Huang; Yanhua Yu; Haoyang Li; Mengdi Zhang 002; Zirui Guo; Wei Wu 014 (IJCAI, 2023)

Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis. - Min Feng; Yanhua Yu; Kangkang Lu 002; Zirui Guo; Xiuxiu Cai; Jie Li (MLNLP, 2023)

Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction. - Binbin Huang; Xingyue Peng; Siyuan Shen; Suan Xia; Ruiqian Li; Yanhua Yu; Yuehan Wang; Shenghua Gao; Wenzheng Chen; Shiying Li; Jingyi Yu (CoRR, 2023)

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. - Kangkang Lu 002; Yanhua Yu; Hao Fei 001; Xuan Li; Zixuan Yang; Zirui Guo; Meiyu Liang; Mengran Yin; Tat-Seng Chua (AAAI, 2024)

Hop-based Heterogeneous Graph Transformer. - Zixuan Yang; Xiao Wang; Yanhua Yu; Yuling Wang; Kangkang Lu 002; Zirui Guo; Xiting Qin; Yunshan Ma; Tat-Seng Chua (ECAI, 2024)

Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. - Yanhua Yu; Xiuxiu Cai; Ang Ma; Yimeng Ren 001; Shuai Zhen; Jie Li; Kangkang Lu 002; Zhiyong Huang; Tat-Seng Chua (KSEM (5), 2024)

EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. - Yanhua Yu; Yuanlong Wang; Yunshan Ma; Jie Li; Kangkang Lu 002; Zhiyong Huang; Tat-Seng Chua (KSEM (1), 2024)

Information-Controllable Graph Contrastive Learning for Recommendation. - Zirui Guo; Yanhua Yu; Yuling Wang; Kangkang Lu 002; Zixuan Yang; Liang Pang; Tat-Seng Chua (RecSys, 2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation? - Yuling Wang; Changxin Tian; Binbin Hu; Yanhua Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Liang Pang; Xiao Wang 017 (WWW, 2024)

GraphEdit: Large Language Models for Graph Structure Learning. - Zirui Guo; Lianghao Xia; Yanhua Yu; Yuling Wang; Zixuan Yang; Wei Wei 027; Liang Pang; Tat-Seng Chua; Chao Huang 001 (CoRR, 2024)

A Centralized Discovery-Based Method for Integrating Data Distribution Service and Time-Sensitive Networking in In-Vehicle Networks. - Feng Luo; Yi Ren; Yanhua Yu; Yunpeng Li; Zitong Wang 002 (CoRR, 2024)

LightRAG: Simple and Fast Retrieval-Augmented Generation. - Zirui Guo; Lianghao Xia; Yanhua Yu; Tu Ao; Chao Huang 001 (CoRR, 2024)

Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network. - Kangkang Lu 002; Yanhua Yu; Zhiyong Huang; Jia Li; Yuling Wang; Meiyu Liang; Xiting Qin; Yimeng Ren 001; Tat-Seng Chua; Xidian Wang (CoRR, 2024)

Evaluation of Vocational Education and Training Outcomes Based on Mobile Learning. - Yanhua Yu (Int. J. Interact. Mob. Technol., 2024)

Cross-view hypergraph contrastive learning for attribute-aware recommendation. - Ang Ma; Yanhua Yu; Chuan Shi 001; Zirui Guo; Tat-Seng Chua (Inf. Process. Manag., 2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. - Tu Ao; Yanhua Yu; Yuling Wang; Yang Deng 002; Zirui Guo; Liang Pang; Pinghui Wang; Tat-Seng Chua; Xiao Zhang; Zhen Cai (AAAI, 2025)

A centralized discovery-based method for integrating Data Distribution Service and Time-Sensitive Networking for In-Vehicle Networks. - Feng Luo; Yi Ren; Yanhua Yu; Yunpeng Li; Qin Liu; Xiaobo Zhang (Ad Hoc Networks, 2025)

Can Large Language Models Improve Spectral Graph Neural Networks? - Kangkang Lu 002; Yanhua Yu; Zhiyong Huang; Tat-Seng Chua (CoRR, 2025)