Yuguang Yan

66 papers A* 15A 1B 3C 2Journal 37Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning high-order user-item relation via hyperedge for recommender system.
Neurocomputing
Jingwen Wang, Yuguang Yan, Ruichu Cai, Michael K. Ng, Zhifeng Hao
2025 J jnl
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption.
CoRR
Wei Chen, Ruichu Cai, Jie Qiao, Yuguang Yan, José Miguel Hernández-Lobato
2025 B conf
Cross-Network Relationship Learning via Optimal Transport for Link Prediction.
IJCNN
Zhifeng Hao, Zihan Chen, Zhiwei Chen, Yuguang Yan, Ruichu Cai
2025 J jnl
Dynamic sampling strategy for enhanced person re-Identification across multiple cameras.
Expert Syst. Appl.
Jinlong Zhu, Wanping Yang, Qingliang Li, Yuguang Yan
2025 A* conf
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport.
AAAI
Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng
2025 J jnl
Identifying Semantic Component for Robust Molecular Property Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
2025 A* conf
Improving Deep Regression with Tightness.
ICLR
Shihao Zhang, Yuguang Yan, Angela Yao
2025 J jnl
Improving Deep Regression with Tightness.
CoRR
Shihao Zhang, Yuguang Yan, Angela Yao
2025 — conf
Integrating Multi-modal Contrastive Learning and Multi-scale Feature Extractor for Liver Cancer Classification.
ICSI (2)
Hongkun Chen, Ruichu Cai, Ranmin Wang, Boyan Xu, Yuguang Yan
2025 B conf
Learning Implicit Relations for Collaborative Filtering via Optimal Transport.
IJCNN
Jingwen Wang, Chuangguang Huang, Jiabi Zheng, Yuguang Yan
2025 J jnl
Long-term Causal Inference via Modeling Sequential Latent Confounding.
CoRR
Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, José Miguel Hernández-Lobato
2025 B conf
MATOT: A Model-Agnostic Constraint for Time Series Forecasting via Optimal Transport.
IJCNN
Ruichu Cai, Zhenhui Yang, Yuguang Yan, Haiqin Huang, Kaitao Zheng, Haozhi Chen, Zhifan Jiang, Zijian Li
2025 A* conf
Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport.
ICML
Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao
2024 A* conf
An Optimal Transport View for Subspace Clustering and Spectral Clustering.
AAAI
Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng
2024 A* conf
Combinatorial Routing for Neural Trees.
IJCAI
Jiahao Li, Ruichu Cai, Yuguang Yan
2024 J jnl
Debiased Model-based Interactive Recommendation.
CoRR
Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong
2024 A* conf
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.
ICML
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024 J jnl
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.
CoRR
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024 J jnl
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights.
CoRR
Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo
2024 A* conf
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport.
AAAI
Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng
2024 A* conf
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion.
AAAI
Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai
2024 A* conf
Reducing Balancing Error for Causal Inference via Optimal Transport.
ICML
Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao
2024 J jnl
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations.
IEEE Trans. Neural Networks Learn. Syst.
Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan
2024 A* conf
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
AAAI
Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2024 J jnl
Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance.
Neural Networks
Zijian Li, Ruichu Cai, Jiawei Chen, Yuguang Yan, Wei Chen, Keli Zhang, Junjian Ye
2023 J jnl
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders.
IEEE Trans. Serv. Comput.
Hanrui Wu, Chung Wang Wong, Jia Zhang, Yuguang Yan, Dahai Yu, Jinyi Long, Michael K. Ng
2023 A conf
Generalization Bound for Estimating Causal Effects from Observational Network Data.
CIKM
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
2023 J jnl
Generalization bound for estimating causal effects from observational network data.
CoRR
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
2023 J jnl
Hypergraph Collaborative Network on Vertices and Hyperedges.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanrui Wu, Yuguang Yan, Michael Kwok-Po Ng
2023 J jnl
Identifying Semantic Component for Robust Molecular Property Prediction.
CoRR
Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
2023 A* conf
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract).
ICDE
Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu
2023 J jnl
Multicomponent Adversarial Domain Adaptation: A General Framework.
IEEE Trans. Neural Networks Learn. Syst.
Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu
2023 J jnl
Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth.
IEEE Trans. Medical Imaging
Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu
2023 J jnl
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
CoRR
Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2023 A* conf
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract.
ICDE
Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng
2022 J jnl
Iterative Refinement for Multi-Source Visual Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu
2022 — conf
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.
MICCAI (1)
Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu
2022 J jnl
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans.
CoRR
Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Yonghe Hou, Chao Song, Hongbo Liu, Jiang Liu
2022 J jnl
Transferable Feature Selection for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng
2021 J jnl
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval.
IEEE J. Biomed. Health Informatics
Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu
2021 J jnl
Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval.
CoRR
Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu
2021 J jnl
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.
IEEE Trans. Image Process.
Hanrui Wu, Hong Zhu, Yuguang Yan, Jiaju Wu, Yifan Zhang, Michael K. Ng
2021 J jnl
Joint Visual and Semantic Optimization for zero-shot learning.
Knowl. Based Syst.
Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng
2021 J jnl
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.
IEEE Trans. Knowl. Data Eng.
Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu
2021 J jnl
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification.
CoRR
Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu
2021 J jnl
Weighing features of lung and heart regions for thoracic disease classification.
BMC Medical Imaging
Jiansheng Fang, Yanwu Xu, Yitian Zhao, Yuguang Yan, Junling Liu, Jiang Liu
2020 — conf
Deep Reinforcement Active Learning for Medical Image Classification.
MICCAI (1)
Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng
2020 J jnl
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation.
ACM Trans. Intell. Syst. Technol.
Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu
2020 J jnl
Geometric Knowledge Embedding for unsupervised domain adaptation.
Knowl. Based Syst.
Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu
2020 J jnl
Multi-component transfer metric learning for handling unrelated source domain samples.
Knowl. Based Syst.
Chang'an Yi, Yonghui Xu, Han Yu, Yuguang Yan, Yang Liu
2019 — conf
Attention Guided Network for Retinal Image Segmentation.
MICCAI (1)
Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu
2019 J jnl
Attention Guided Network for Retinal Image Segmentation.
CoRR
Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu
2019 — conf
Conditional Adversarial Transfer for Glaucoma Diagnosis.
EMBC
Jingwen Wang, Yuguang Yan, Yanwu Xu, Wei Zhao, Huaqing Min, Mingkui Tan, Jiang Liu
2019 — conf
Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries.
OMIA@MICCAI
Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu
2019 J jnl
Informative Feature Selection for Domain Adaptation.
IEEE Access
Feng Sun, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, Qing Du
2019 J jnl
Online Heterogeneous Transfer Learning by Knowledge Transition.
ACM Trans. Intell. Syst. Technol.
Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu
2019 A* conf
Oversampling for Imbalanced Data via Optimal Transport.
AAAI
Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu
2018 C conf
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks.
ACML
Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu
2018 J jnl
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.
IEEE Trans. Neural Networks Learn. Syst.
Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang
2018 A* conf
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.
IJCAI
Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu
2017 A* conf
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
IJCAI
Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu
2017 C conf
On the Flatness of Loss Surface for Two-layered ReLU Networks.
ACML
Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan
2017 J jnl
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.
IEEE Trans. Knowl. Data Eng.
Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao
2017 J jnl
Online transfer learning by leveraging multiple source domains.
Knowl. Inf. Syst.
Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min
2016 — conf
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.
ECCV Workshops (3)
Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min
2014 — conf
CogRSim: A Robotic Simulator Software.
ICIRA (2)
Yao Shi, Chang'an Yi, Yuguang Yan, Deqin Wang, Guixin Guo, Junsheng Chen, Huaqing Min