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2020 – today
- 2024
[j21]Zijian Li, Ruichu Cai
, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye:
Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. Neural Networks 180: 106659 (2024)- [j20]Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan:
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2628-2639 (2024) - [c21]Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai:
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. AAAI 2024: 9232-9240 - [c20]Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng:
An Optimal Transport View for Subspace Clustering and Spectral Clustering. AAAI 2024: 16281-16289 - [c19]Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng:
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI 2024: 16290-16298 - [c18]Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI 2024: 20491-20499 - [c17]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML 2024 - [c16]Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao:
Reducing Balancing Error for Causal Inference via Optimal Transport. ICML 2024 - [i10]Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong:
Debiased Model-based Interactive Recommendation. CoRR abs/2402.15819 (2024) - [i9]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR abs/2405.03342 (2024) - [i8]Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo:
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR abs/2406.19195 (2024) - 2023
- [j19]Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng:
Hypergraph Collaborative Network on Vertices and Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3245-3258 (2023) - [j18]Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu:
Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth. IEEE Trans. Medical Imaging 42(12): 3602-3613 (2023) - [j17]Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu:
Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6824-6838 (2023) - [j16]Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng:
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders. IEEE Trans. Serv. Comput. 16(4): 2477-2489 (2023) - [c15]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM 2023: 163-172 - [c14]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c13]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. ICDE 2023: 3855-3856 - [i7]Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR abs/2306.14114 (2023) - [i6]Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao:
Generalization bound for estimating causal effects from observational network data. CoRR abs/2308.04011 (2023) - [i5]Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang:
Identifying Semantic Component for Robust Molecular Property Prediction. CoRR abs/2311.04837 (2023) - 2022
- [j15]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(6): 2810-2823 (2022) - [j14]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(11): 5536-5551 (2022) - [c12]Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu:
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans. MICCAI (1) 2022: 484-494 - [i4]Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu:
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans. CoRR abs/2206.03049 (2022) - 2021
- [j13]Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu:
Weighing features of lung and heart regions for thoracic disease classification. BMC Medical Imaging 21(1): 99 (2021) - [j12]Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng:
Joint Visual and Semantic Optimization for zero-shot learning. Knowl. Based Syst. 215: 106773 (2021) - [j11]Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng:
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. IEEE Trans. Image Process. 30: 6364-6376 (2021) - [j10]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. IEEE J. Biomed. Health Informatics 25(10): 3943-3954 (2021) - [j9]Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [i3]Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu:
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval. CoRR abs/2105.08872 (2021) - [i2]Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu:
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification. CoRR abs/2105.12430 (2021) - 2020
- [j8]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu:
Geometric Knowledge Embedding for unsupervised domain adaptation. Knowl. Based Syst. 191: 105155 (2020) - [j7]Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu:
Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. 203: 106132 (2020) - [j6]Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu:
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. ACM Trans. Intell. Syst. Technol. 11(4): 44:1-44:19 (2020) - [c11]Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng:
Deep Reinforcement Active Learning for Medical Image Classification. MICCAI (1) 2020: 33-42
2010 – 2019
- 2019
- [j5]Feng Sun, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, Qing Du:
Informative Feature Selection for Domain Adaptation. IEEE Access 7: 142551-142563 (2019) - [j4]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu:
Online Heterogeneous Transfer Learning by Knowledge Transition. ACM Trans. Intell. Syst. Technol. 10(3): 26:1-26:19 (2019) - [c10]Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. AAAI 2019: 5605-5612 - [c9]Jingwen Wang, Yuguang Yan, Yanwu Xu, Wei Zhao, Huaqing Min, Mingkui Tan, Jiang Liu:
Conditional Adversarial Transfer for Glaucoma Diagnosis. EMBC 2019: 2032-2035 - [c8]Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu:
Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries. OMIA@MICCAI 2019: 43-51 - [c7]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. MICCAI (1) 2019: 797-805 - [i1]Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu:
Attention Guided Network for Retinal Image Segmentation. CoRR abs/1907.12930 (2019) - 2018
- [j3]Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang:
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3252-3263 (2018) - [c6]Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu:
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. ACML 2018: 566-581 - [c5]Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu:
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. IJCAI 2018: 2969-2975 - 2017
- [j2]Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min:
Online transfer learning by leveraging multiple source domains. Knowl. Inf. Syst. 52(3): 687-707 (2017) - [j1]Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao:
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Trans. Knowl. Data Eng. 29(7): 1494-1507 (2017) - [c4]Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan:
On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML 2017: 545-560 - [c3]Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu:
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. IJCAI 2017: 3252-3258 - 2016
- [c2]Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min:
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. ECCV Workshops (3) 2016: 467-474 - 2014
- [c1]Yao Shi, Chang'an Yi, Yuguang Yan, Deqin Wang, Guixin Guo, Junsheng Chen, Huaqing Min:
CogRSim: A Robotic Simulator Software. ICIRA (2) 2014: 155-166
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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