Yuguang Yan

According to our database, Yuguang Yan authored at least 46 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations.

Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance.

Zijian Li, Ruichu Cai, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye

Neural Networks, 2024

Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights.

Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo

CoRR, 2024

Debiased Model-based Interactive Recommendation.

Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong

CoRR, 2024

Combinatorial Routing for Neural Trees.

Jiahao Li, Ruichu Cai, Yuguang Yan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reducing Balancing Error for Causal Inference via Optimal Transport.

Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.

Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport.

Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

An Optimal Transport View for Subspace Clustering and Spectral Clustering.

Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion.

Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.

Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth.

Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu

IEEE Trans. Medical Imaging, December, 2023

Multicomponent Adversarial Domain Adaptation: A General Framework.

Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hypergraph Collaborative Network on Vertices and Hyperedges.

Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders.

Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng

IEEE Trans. Serv. Comput., 2023

Identifying Semantic Component for Robust Molecular Property Prediction.

Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang

CoRR, 2023

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract.

Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract).

Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Generalization Bound for Estimating Causal Effects from Observational Network Data.

Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Transferable Feature Selection for Unsupervised Domain Adaptation.

Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng

IEEE Trans. Knowl. Data Eng., 2022

Iterative Refinement for Multi-Source Visual Domain Adaptation.

Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2022

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.

Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.

Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu

IEEE Trans. Knowl. Data Eng., 2021

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval.

Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu

IEEE J. Biomed. Health Informatics, 2021

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.

Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng

IEEE Trans. Image Process., 2021

Joint Visual and Semantic Optimization for zero-shot learning.

Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng

Knowl. Based Syst., 2021

Weighing features of lung and heart regions for thoracic disease classification.

Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu

BMC Medical Imaging, 2021

2020

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation.

Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu

ACM Trans. Intell. Syst. Technol., 2020

Multi-component transfer metric learning for handling unrelated source domain samples.

Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu

Knowl. Based Syst., 2020

Geometric Knowledge Embedding for unsupervised domain adaptation.

Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu

Knowl. Based Syst., 2020

Deep Reinforcement Active Learning for Medical Image Classification.

Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Online Heterogeneous Transfer Learning by Knowledge Transition.

Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu

ACM Trans. Intell. Syst. Technol., 2019

Informative Feature Selection for Domain Adaptation.

Feng Sun, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, Qing Du

IEEE Access, 2019

Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries.

Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Attention Guided Network for Retinal Image Segmentation.

Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Conditional Adversarial Transfer for Glaucoma Diagnosis.

Jingwen Wang, Yuguang Yan, Yanwu Xu, Wei Zhao, Huaqing Min, Mingkui Tan, Jiang Liu

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Oversampling for Imbalanced Data via Optimal Transport.

Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.

Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang

IEEE Trans. Neural Networks Learn. Syst., 2018

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.

Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks.

Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.

Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao

IEEE Trans. Knowl. Data Eng., 2017

Online transfer learning by leveraging multiple source domains.

Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min

Knowl. Inf. Syst., 2017

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.

Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On the Flatness of Loss Surface for Two-layered ReLU Networks.

Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.

Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2014

CogRSim: A Robotic Simulator Software.

Yao Shi, Chang'an Yi, Yuguang Yan, Deqin Wang, Guixin Guo, Junsheng Chen, Huaqing Min

Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014