CogRSim: A Robotic Simulator Software. - Yao Shi; Chang'an Yi; Yuguang Yan; Deqin Wang; Guixin Guo; Junsheng Chen; Huaqing Min (ICIRA (2), 2014)

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. - Yuguang Yan; Qingyao Wu; Mingkui Tan; Huaqing Min (ECCV Workshops (3), 2016)

On the Flatness of Loss Surface for Two-layered ReLU Networks. - Jiezhang Cao; Qingyao Wu; Yuguang Yan; Li Wang 033; Mingkui Tan (ACML, 2017)

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Michael K. P. Ng 001; Mingkui Tan; Hanrui Wu; Huaqing Min; Qingyao Wu (IJCAI, 2017)

Online transfer learning by leveraging multiple source domains. - Qingyao Wu; Xiaoming Zhou; Yuguang Yan; Hanrui Wu; Huaqing Min (Knowl. Inf. Syst., 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)

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. - Junhong Huang; Mingkui Tan; Yuguang Yan; Chunmei Qing; Qingyao Wu; Zhuliang Yu (ACML, 2018)

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Hanrui Wu; Huaqing Min; Mingkui Tan; Qingyao Wu (IJCAI, 2018)

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. - Yuguang Yan; Qingyao Wu; Mingkui Tan; Michael K. Ng 001; Huaqing Min; Ivor W. Tsang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Oversampling for Imbalanced Data via Optimal Transport. - Yuguang Yan; Mingkui Tan; Yanwu Xu 001; Jiezhang Cao; Michael K. Ng 001; Huaqing Min; Qingyao Wu (AAAI, 2019)

Conditional Adversarial Transfer for Glaucoma Diagnosis. - Jingwen Wang; Yuguang Yan; Yanwu Xu 001; Wei Zhao; Huaqing Min; Mingkui Tan; Jiang Liu 001 (EMBC, 2019)

Attention Guided Network for Retinal Image Segmentation. - Shihao Zhang; Huazhu Fu; Yuguang Yan; Yubing Zhang; Qingyao Wu; Ming Yang 039; Mingkui Tan; Yanwu Xu 001 (MICCAI (1), 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 001 (OMIA@MICCAI, 2019)

Informative Feature Selection for Domain Adaptation. - Feng Sun 005; Hanrui Wu; Zhihang Luo; Wenwen Gu; Yuguang Yan; Qing Du (IEEE Access, 2019)

Online Heterogeneous Transfer Learning by Knowledge Transition. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Huaqing Min; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2019)

Deep Reinforcement Active Learning for Medical Image Classification. - Jingwen Wang; Yuguang Yan; Yubing Zhang; Guiping Cao; Ming Yang 039; Michael K. Ng 001 (MICCAI (1), 2020)

Geometric Knowledge Embedding for unsupervised domain adaptation. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Michael K. Ng 001; Qingyao Wu (Knowl. Based Syst., 2020)

Multi-component transfer metric learning for handling unrelated source domain samples. - Chang'an Yi; Yonghui Xu; Han Yu 001; Yuguang Yan; Yang Liu 165 (Knowl. Based Syst., 2020)

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. - Hanrui Wu; Yuguang Yan; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2020)

Weighing features of lung and heart regions for thoracic disease classification. - Jiansheng Fang; Yanwu Xu 001; Yitian Zhao; Yuguang Yan; Junling Liu; Jiang Liu 001 (BMC Medical Imaging, 2021)

Joint Visual and Semantic Optimization for zero-shot learning. - Hanrui Wu; Yuguang Yan; Sentao Chen; Xiangkang Huang; Qingyao Wu; Michael K. Ng 001 (Knowl. Based Syst., 2021)

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. - Hanrui Wu; Hong Zhu 012; Yuguang Yan; Jiaju Wu 001; Yifan Zhang 004; Michael K. Ng 001 (IEEE Trans. Image Process., 2021)

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. - Jiansheng Fang; Huazhu Fu; Dan Zeng 002; Xiao Yan 002; Yuguang Yan; Jiang Liu 001 (IEEE J. Biomed. Health Informatics, 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)

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 007; Jiang Liu 001 (MICCAI (1), 2022)

Iterative Refinement for Multi-Source Visual Domain Adaptation. - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 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 001 (IEEE Trans. Knowl. Data Eng., 2022)

Generalization Bound for Estimating Causal Effects from Observational Network Data. - Ruichu Cai; Zeqin Yang; Weilin Chen 001; Yuguang Yan; Zhifeng Hao (CIKM, 2023)

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (ICDE, 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 (ICDE, 2023)

Identifying Semantic Component for Robust Molecular Property Prediction. - Zijian Li 001; Zunhong Xu; Ruichu Cai; Zhenhui Yang; Yuguang Yan; Zhifeng Hao; Guangyi Chen 002; Kun Zhang 001 (CoRR, 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 001 (IEEE Trans. Serv. Comput., 2023)

Hypergraph Collaborative Network on Vertices and Hyperedges. - Hanrui Wu; Yuguang Yan; Michael Kwok-Po Ng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multicomponent Adversarial Domain Adaptation: A General Framework. - Chang'an Yi; Haotian Chen 002; Yonghui Xu; Huanhuan Chen; Yong Liu 020; Haishu Tan; Yuguang Yan; Han Yu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth. - Jiansheng Fang; Jingwen Wang; Anwei Li; Yuguang Yan; Hongbo Liu 007; Jiajian Li; Huifang Yang; Yonghe Hou; Xuening Yang; Ming Yang 039; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2023)

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. - Yuequn Liu; Ruichu Cai; Wei Chen 103; Jie Qiao; Yuguang Yan; Zijian Li 001; Keli Zhang; Zhifeng Hao (AAAI, 2024)

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. - Yuguang Yan; Yuanlin Chen; Shibo Wang; Hanrui Wu; Ruichu Cai (AAAI, 2024)

An Optimal Transport View for Subspace Clustering and Spectral Clustering. - Yuguang Yan; Zhihao Xu; Canlin Yang; Jie Zhang 124; Ruichu Cai; Michael Kwok-Po Ng (AAAI, 2024)

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. - Yuguang Yan; Zeqin Yang; Weilin Chen 001; Ruichu Cai; Zhifeng Hao; Michael Kwok-Po Ng (AAAI, 2024)

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. - Weilin Chen 001; Ruichu Cai; Zeqin Yang; Jie Qiao; Yuguang Yan; Zijian Li 001; Zhifeng Hao (ICML, 2024)

Reducing Balancing Error for Causal Inference via Optimal Transport. - Yuguang Yan; Hao Zhou; Zeqin Yang; Weilin Chen 001; Ruichu Cai; Zhifeng Hao (ICML, 2024)

Combinatorial Routing for Neural Trees. - Jiahao Li; Ruichu Cai; Yuguang Yan (IJCAI, 2024)

Debiased Model-based Interactive Recommendation. - Zijian Li 001; Ruichu Cai; Haiqin Huang; Sili Zhang; Yuguang Yan; Zhifeng Hao; Zhenghua Dong (CoRR, 2024)

Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. - Zeqin Yang; Weilin Chen 001; Ruichu Cai; Yuguang Yan; Zhifeng Hao; Zhipeng Yu; Zhichao Zou; Zhen Peng; Jiecheng Guo (CoRR, 2024)

Time-series domain adaptation via sparse associative structure alignment: Learning invariance and variance. - Zijian Li 001; Ruichu Cai; Jiawei Chen; Yuguang Yan; Wei Chen 103; Keli Zhang; Junjian Ye (Neural Networks, 2024)

TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. - Zijian Li 001; Ruichu Cai; Fengzhu Wu; Sili Zhang; Hao Gu; Yuexing Hao; Yuguang Yan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. - Yuguang Yan; Canlin Yang; Yuanlin Chen; Ruichu Cai; Michael Ng 001 (AAAI, 2025)

Improving Deep Regression with Tightness. - Shihao Zhang; Yuguang Yan; Angela Yao (ICLR, 2025)

Dynamic sampling strategy for enhanced person re-Identification across multiple cameras. - Jinlong Zhu; Wanping Yang; Qingliang Li; Yuguang Yan (Expert Syst. Appl., 2025)

Long-term Causal Inference via Modeling Sequential Latent Confounding. - Weilin Chen 001; Ruichu Cai; Yuguang Yan; Zhifeng Hao; José Miguel Hernández-Lobato (CoRR, 2025)

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption. - Wei Chen 103; Ruichu Cai; Jie Qiao; Yuguang Yan; José Miguel Hernández-Lobato (CoRR, 2025)