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ORCIDHong Yang 0003
Person information
- affiliation: Guangzhou University, Cyberspace Institute of Advanced Technology, Guangzhou, China
- affiliation (PhD 2020): University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, Ultimo, Australia
- affiliation: MathWorks, Beijing, China
- affiliation: MathWorks, Natick, MA, USA
Other persons with the same name
- Hong Yang — disambiguation page
- Hong Yang 0001
![[0000-0002-3744-7688]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3744-7688")
— Nokia Bell Laboratories, Murray Hill, NJ, USA (and 1 more) - Hong Yang 0002 — Xi'an University of Posts & Telecommunications, School of Electronic Engineering, Xi'an, China (and 1 more)
- Hong Yang 0004 — Old Dominion University, Department of Computational Modeling and Simulation Engineering, Norfolk, VA, USA
- Hong Yang 0005 — University of Reading, Department of Geography and Environmental Science, Reading, UK
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2020 – today
- 2025
[j15]Minghao Mo, Weihai Lu, Qixiao Xie, Zikai Xiao, Xiang Lv, Hong Yang, Yanchun Zhang:
One multimodal plugin enhancing all: CLIP-based pre-training framework enhancing multimodal item representations in recommendation systems. Neurocomputing 637: 130059 (2025)- [i4]Yang Gao, Hong Yang, Yizhi Chen, Junxian Wu, Peng Zhang, Haishuai Wang:
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search. CoRR abs/2502.10459 (2025) - 2024
- [j14]Yuejun Tan, Linhai Xie, Hong Yang, Qingyuan Zhang, Jinyuan Luo, Yanchun Zhang:
BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction. Briefings Bioinform. 26(1) (2024) - [j13]Wen Shi, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang:
A review of machine learning-based methods for predicting drug-target interactions. Health Inf. Sci. Syst. 12(1): 30 (2024) - [c21]Jiaqi Yu, Hong Yang, Chuan Zhou, Peng Zhang, Zhihong Tian:
Federated Spectral Graph Neural Networks. BESC 2024: 1-7 - [c20]Xinyu Wang, Feng Qiang, Li Ma, Peng Zhang, Hong Yang, Zhao Li, Ji Zhang:
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction. IJCNN 2024: 1-8 - 2023
- [j12]Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang:
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognit. 133: 109042 (2023) - [j11]Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou:
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 6973-6987 (2023) - [j10]Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu:
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9448-9461 (2023) - [c19]Wen Shi, Dandan Peng, Jinyuan Luo, Guozhu Chen, Hong Yang, Linhai Xie, Xiao-Xia Yin, Yanchun Zhang:
A Review on Predicting Drug Target Interactions Based on Machine Learning. HIS 2023: 283-295 - [c18]Xingping Zhang, Guijuan Zhang, Xingting Qiu, Jiao Yin, Wenjun Tan, Xiaoxia Yin, Hong Yang, Kun Wang, Yanchun Zhang:
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics. HIS 2023: 309-320 - [c17]Jinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, Yanchun Zhang:
CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis. ICDM 2023: 458-467 - [i3]Haoyuan Dong, Yang Gao, Haishuai Wang, Hong Yang, Peng Zhang:
Heterogeneous Graph Neural Architecture Search with GPT-4. CoRR abs/2312.08680 (2023) - 2022
- [j9]Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao:
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. IEEE J. Sel. Top. Signal Process. 16(2): 276-288 (2022) - [j8]Hong Yang, Ling Chen, Shirui Pan, Haishuai Wang, Peng Zhang:
Discrete embedding for attributed graphs. Pattern Recognit. 123: 108368 (2022) - 2021
- [j7]Ruizhi Zhou, Lingfeng Niu, Hong Yang:
Unsupervised feature selection for attributed graphs. Expert Syst. Appl. 168: 114402 (2021) - [j6]Zhenyan Ji, Mengdan Wu, Hong Yang, José Enrique Armendáriz-Iñigo:
Temporal sensitive heterogeneous graph neural network for news recommendation. Future Gener. Comput. Syst. 125: 324-333 (2021) - [j5]Zhenyan Ji, Xiaojun Song, Houbing Song, Hong Yang, Xiaoxuan Guo:
RDRF-Net: A pyramid architecture network with residual-based dynamic receptive fields for unsupervised depth estimation. Neurocomputing 457: 1-12 (2021) - [j4]Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan:
Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing 466: 265-284 (2021) - 2020
- [j3]Fei Xiong, Ximeng Wang, Shirui Pan, Hong Yang, Haishuai Wang, Chengqi Zhang:
Social Recommendation With Evolutionary Opinion Dynamics. IEEE Trans. Syst. Man Cybern. Syst. 50(10): 3804-3816 (2020) - [c16]Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang:
Exploratory Adversarial Attacks on Graph Neural Networks. ICDM 2020: 1136-1141 - [c15]Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang:
Discrete Embedding for Latent Networks. IJCAI 2020: 1223-1229 - [c14]Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
Graph Neural Architecture Search. IJCAI 2020: 1403-1409
2010 – 2019
- 2019
- [j2]Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu:
Diffusion network embedding. Pattern Recognit. 88: 518-531 (2019) - [c13]Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang:
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. ICDM 2019: 429-438 - [c12]Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. IJCAI 2019: 2151-2157 - [c11]Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang:
Low-Bit Quantization for Attributed Network Representation Learning. IJCAI 2019: 4047-4053 - [i2]Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu:
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. CoRR abs/1904.09981 (2019) - [i1]Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo:
Deep Active Learning for Anchor User Prediction. CoRR abs/1906.07318 (2019) - 2018
- [c10]Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang:
Binarized attributed network embedding. ICDM 2018: 1476-1481 - [c9]Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu:
Active Discriminative Network Representation Learning. IJCAI 2018: 2142-2148 - [c8]Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu:
Recommendation with Multi-Source Heterogeneous Information. IJCAI 2018: 3378-3384 - [c7]Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo:
iWalk: Interest-Aware Random Walk for Network Embedding. IJCNN 2018: 1-8 - 2017
- [j1]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang:
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. Data Min. Knowl. Discov. 31(1): 32-64 (2017) - 2016
- [c6]Qinzhe Zhang, Jia Wu, Hong Yang, Weixue Lu, Guodong Long, Chengqi Zhang:
Global and Local Influence-based Social Recommendation. CIKM 2016: 1917-1920 - [c5]Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu:
Collaborative Social Group Influence for Event Recommendation. CIKM 2016: 1941-1944 - [c4]Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu:
Semi-Data-Driven Network Coarsening. IJCAI 2016: 1483-1489 - [c3]Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang:
Unsupervised Feature Learning from Time Series. IJCAI 2016: 2322-2328 - [c2]Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu:
Query expansion for exploratory search with subtopic discovery in Community Question Answering. IJCNN 2016: 4715-4720
2000 – 2009
- 2008
- [c1]Shi Zhao, Yiding Wang, Hong Yang:
ECG Signal Denoising - Using Wavelet in Besov Spaces. BIOSIGNALS (2) 2008: 250-254
Coauthor Index
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