ECG Signal Denoising - Using Wavelet in Besov Spaces. - Shi Zhao; Yiding Wang; Hong Yang 003 (BIOSIGNALS (2), 2008)

Collaborative Social Group Influence for Event Recommendation. - Li Gao; Jia Wu 001; Zhi Qiao 005; Chuan Zhou 001; Hong Yang 003; Yue Hu 002 (CIKM, 2016)

Global and Local Influence-based Social Recommendation. - Qinzhe Zhang; Jia Wu 001; Hong Yang 003; Weixue Lu; Guodong Long; Chengqi Zhang (CIKM, 2016)

Semi-Data-Driven Network Coarsening. - Li Gao; Jia Wu 001; Hong Yang 003; Zhi Qiao 005; Chuan Zhou 001; Yue Hu 002 (IJCAI, 2016)

Unsupervised Feature Learning from Time Series. - Qin Zhang 011; Jia Wu 001; Hong Yang 003; Yingjie Tian 001; Chengqi Zhang (IJCAI, 2016)

Query expansion for exploratory search with subtopic discovery in Community Question Answering. - Li Gao; Yao Lu; Qin Zhang 011; Hong Yang 003; Yue Hu 002 (IJCNN, 2016)

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Hong Yang 003 (Data Min. Knowl. Discov., 2017)

Binarized attributed network embedding. - Hong Yang 003; Shirui Pan; Peng Zhang 001; Ling Chen 006; Defu Lian; Chengqi Zhang (ICDM, 2018)

Recommendation with Multi-Source Heterogeneous Information. - Li Gao; Hong Yang 003; Jia Wu 001; Chuan Zhou 001; Weixue Lu; Yue Hu 002 (IJCAI, 2018)

Active Discriminative Network Representation Learning. - Li Gao; Hong Yang 003; Chuan Zhou 001; Jia Wu 001; Shirui Pan; Yue Hu 002 (IJCAI, 2018)

iWalk: Interest-Aware Random Walk for Network Embedding. - Wen Zan; Chuan Zhou 001; Hong Yang 003; Yue Hu 002; Li Guo 001 (IJCNN, 2018)

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. - Xixun Lin; Hong Yang 003; Jia Wu 001; Chuan Zhou 001; Bin Wang 004 (ICDM, 2019)

Deep Active Learning for Anchor User Prediction. - Anfeng Cheng; Chuan Zhou 001; Hong Yang 003; Jia Wu 001; Lei Li 002; Jianlong Tan; Li Guo 001 (IJCAI, 2019)

Low-Bit Quantization for Attributed Network Representation Learning. - Hong Yang 003; Shirui Pan; Ling Chen 006; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2019)

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (CoRR, 2019)

Diffusion network embedding. - Yong Shi 001; Minglong Lei; Hong Yang 003; Lingfeng Niu (Pattern Recognit., 2019)

Exploratory Adversarial Attacks on Graph Neural Networks. - Xixun Lin; Chuan Zhou 001; Hong Yang 003; Jia Wu 001; Haibo Wang 004; Yanan Cao 001; Bin Wang 004 (ICDM, 2020)

Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Peng Zhang 001; Chuan Zhou 001; Yue Hu 002 (IJCAI, 2020)

Discrete Embedding for Latent Networks. - Hong Yang 003; Ling Chen 006; Minglong Lei; Lingfeng Niu; Chuan Zhou 001; Peng Zhang 001 (IJCAI, 2020)

Social Recommendation With Evolutionary Opinion Dynamics. - Fei Xiong; Ximeng Wang; Shirui Pan; Hong Yang 003; Haishuai Wang; Chengqi Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Unsupervised feature selection for attributed graphs. - Ruizhi Zhou; Lingfeng Niu; Hong Yang 003 (Expert Syst. Appl., 2021)

Temporal sensitive heterogeneous graph neural network for news recommendation. - Zhenyan Ji; Mengdan Wu; Hong Yang 003; José Enrique Armendáriz-Iñigo (Future Gener. Comput. Syst., 2021)

RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation. - Zhenyan Ji; Xiaojun Song; Houbing Song; Hong Yang 003; Xiaoxuan Guo (Neurocomputing, 2021)

Towards embedding information diffusion data for understanding big dynamic networks. - Hong Yang 003; Peng Zhang 001; Haishuai Wang; Chuan Zhou 001; Zhao Li 007; Li Gao; Qingfeng Tan (Neurocomputing, 2021)

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. - Haishuai Wang; Guangyu Tao; Jiali Ma; Shangru Jia; Lianhua Chi; Hong Yang 003; Ziping Zhao 001; Jianhua Tao 001 (IEEE J. Sel. Top. Signal Process., 2022)

Discrete embedding for attributed graphs. - Hong Yang 003; Ling Chen 006; Shirui Pan; Haishuai Wang; Peng Zhang 001 (Pattern Recognit., 2022)

A Review on Predicting Drug Target Interactions Based on Machine Learning. - Wen Shi; Dandan Peng; Jinyuan Luo; Guozhu Chen; Hong Yang 003; Linhai Xie; Xiao-Xia Yin; Yanchun Zhang (HIS, 2023)

Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics. - Xingping Zhang; Guijuan Zhang; Xingting Qiu; Jiao Yin 003; Wenjun Tan; Xiaoxia Yin; Hong Yang 003; Kun Wang; Yanchun Zhang (HIS, 2023)

CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis. - Jinyuan Luo; Zikai Xiao; Wen Shi; Linhai Xie; Hong Yang 003; Xiaoxia Yin; Yanchun Zhang (ICDM, 2023)

Heterogeneous Graph Neural Architecture Search with GPT-4. - Haoyuan Dong; Yang Gao 024; Haishuai Wang; Hong Yang 003; Peng Zhang 001 (CoRR, 2023)

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. - Xixun Lin; Chuan Zhou 001; Jia Wu 001; Hong Yang 003; Haibo Wang 004; Yanan Cao 001; Bin Wang 004 (Pattern Recognit., 2023)

GraphNAS++: Distributed Architecture Search for Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Hong Yang 003; Chuan Zhou 001; Yue Hu 002; Zhihong Tian; Zhao Li 007; Jingren Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Chuan Zhou 001; Hong Yang 003; Zhao Li 007; Yue Hu 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Federated Spectral Graph Neural Networks. - Jiaqi Yu; Hong Yang 003; Chuan Zhou 001; Peng Zhang 001; Zhihong Tian (BESC, 2024)

Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction. - Xinyu Wang; Feng Qiang; Li Ma 012; Peng Zhang 001; Hong Yang 003; Zhao Li 007; Ji Zhang 001 (IJCNN, 2024)

BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction. - Yuejun Tan; Linhai Xie; Hong Yang 003; Qingyuan Zhang; Jinyuan Luo; Yanchun Zhang (Briefings Bioinform., 2024)

A review of machine learning-based methods for predicting drug-target interactions. - Wen Shi; Hong Yang 003; Linhai Xie; Xiao-Xia Yin; Yanchun Zhang (Health Inf. Sci. Syst., 2024)

One multimodal plugin enhancing all: CLIP-based pre-training framework enhancing multimodal item representations in recommendation systems. - Minghao Mo; Weihai Lu; Qixiao Xie; Zikai Xiao; Xiang Lv; Hong Yang 003; Yanchun Zhang (Neurocomputing, 2025)

Automated graph anomaly detection with large language models. - Jiaqi Yu; Yang Gao 024; Hong Yang 003; Zhihong Tian; Peng Zhang 001; Xingquan Zhu 001 (Knowl. Based Syst., 2025)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search. - Yang Gao 024; Hong Yang 003; Yizhi Chen; Junxian Wu; Peng Zhang 001; Haishuai Wang (CoRR, 2025)