Hong Yang

44 papers A* 12A 2B 3C 2Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A review of graph neural networks for brain diseases analysis.
Neurocomputing
Hong Yang, Ruiwen Huang, Shanshan Ye, Peng Zhang, Yuhuai Guo, Shirui Pan, Yanchun Zhang
2026 J jnl
scVDM: A Diffusion Model Integrated With Conditional VAE for Generative Single-Cell Tasks.
IEEE J. Biomed. Health Informatics
Dandan Peng, Linhai Xie, Hong Yang, Yanchun Zhang
2025 J jnl
Automated graph anomaly detection with large language models.
Knowl. Based Syst.
Jiaqi Yu, Yang Gao, Hong Yang, Zhihong Tian, Peng Zhang, Xingquan Zhu
2025 J jnl
BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction.
Briefings Bioinform.
Yuejun Tan, Linhai Xie, Hong Yang, Qingyuan Zhang, Jinyuan Luo, Yanchun Zhang
2025 J jnl
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search.
CoRR
Yang Gao, Hong Yang, Yizhi Chen, Junxian Wu, Peng Zhang, Haishuai Wang
2025 J jnl
Large language models enhanced graph neural architecture search for quadratic unconstrained binary optimization.
Knowl. Based Syst.
Peng Zhang, Junxian Wu, Hong Yang, Chuan Zhou, Zhihong Tian
2025 J jnl
One multimodal plugin enhancing all: CLIP-based pre-training framework enhancing multimodal item representations in recommendation systems.
Neurocomputing
Minghao Mo, Weihai Lu, Qixiao Xie, Zikai Xiao, Xiang Lv, Hong Yang, Yanchun Zhang
2024 J jnl
A review of machine learning-based methods for predicting drug-target interactions.
Health Inf. Sci. Syst.
Wen Shi, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang
2024 — conf
Federated Spectral Graph Neural Networks.
BESC
Jiaqi Yu, Hong Yang, Chuan Zhou, Peng Zhang, Zhihong Tian
2024 B conf
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction.
IJCNN
Xinyu Wang, Feng Qiang, Li Ma, Peng Zhang, Hong Yang, Zhao Li, Ji Zhang
2023 C conf
A Review on Predicting Drug Target Interactions Based on Machine Learning.
HIS
Wen Shi, Dandan Peng, Jinyuan Luo, Guozhu Chen, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang
2023 A* conf
CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis.
ICDM
Jinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, Yanchun Zhang
2023 J jnl
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.
Pattern Recognit.
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang
2023 J jnl
GraphNAS++: Distributed Architecture Search for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou
2023 J jnl
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu
2023 J jnl
Heterogeneous Graph Neural Architecture Search with GPT-4.
CoRR
Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang
2023 C conf
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.
HIS
Xingping Zhang, Guijuan Zhang, Xingting Qiu, Jiao Yin, Wenjun Tan, Xiaoxia Yin, Hong Yang, Kun Wang, Yanchun Zhang
2022 J jnl
Discrete embedding for attributed graphs.
Pattern Recognit.
Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang
2022 J jnl
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks.
IEEE J. Sel. Top. Signal Process.
Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao
2021 J jnl
RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation.
Neurocomputing
Zhenyan Ji, Xiaojun Song, Houbing Song, Hong Yang, Xiaoxuan Guo
2021 J jnl
Temporal sensitive heterogeneous graph neural network for news recommendation.
Future Gener. Comput. Syst.
Zhenyan Ji, Mengdan Wu, Hong Yang, José Enrique Armendáriz-Iñigo
2021 J jnl
Towards embedding information diffusion data for understanding big dynamic networks.
Neurocomputing
Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan
2021 J jnl
Unsupervised feature selection for attributed graphs.
Expert Syst. Appl.
Ruizhi Zhou, Lingfeng Niu, Hong Yang
2020 A* conf
Discrete Embedding for Latent Networks.
IJCAI
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
2020 A* conf
Exploratory Adversarial Attacks on Graph Neural Networks.
ICDM
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang
2020 A* conf
Graph Neural Architecture Search.
IJCAI
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
2020 J jnl
Social Recommendation With Evolutionary Opinion Dynamics.
IEEE Trans. Syst. Man Cybern. Syst.
Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang
2019 A* conf
Deep Active Learning for Anchor User Prediction.
IJCAI
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
2019 J jnl
Deep Active Learning for Anchor User Prediction.
CoRR
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
2019 J jnl
Diffusion network embedding.
Pattern Recognit.
Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
2019 J jnl
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning.
CoRR
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
2019 A* conf
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.
ICDM
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang
2019 A* conf
Low-Bit Quantization for Attributed Network Representation Learning.
IJCAI
Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
2018 A* conf
Active Discriminative Network Representation Learning.
IJCAI
Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu
2018 A* conf
Binarized attributed network embedding.
ICDM
Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
2018 A* conf
Recommendation with Multi-Source Heterogeneous Information.
IJCAI
Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
2018 B conf
iWalk: Interest-Aware Random Walk for Network Embedding.
IJCNN
Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo
2017 J jnl
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov.
Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang
2016 A conf
Collaborative Social Group Influence for Event Recommendation.
CIKM
Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu
2016 A conf
Global and Local Influence-based Social Recommendation.
CIKM
Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang
2016 B conf
Query expansion for exploratory search with subtopic discovery in Community Question Answering.
IJCNN
Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu
2016 A* conf
Semi-Data-Driven Network Coarsening.
IJCAI
Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu
2016 A* conf
Unsupervised Feature Learning from Time Series.
IJCAI
Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang
2008 — conf
ECG Signal Denoising - Using Wavelet in Besov Spaces.
BIOSIGNALS (2)
Shi Zhao, Yiding Wang, Hong Yang