| 2025 | AAAI | Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport. | Yuguang Yan, Canlin Yang, Yuanlin Chen, Ruichu Cai, Michael Ng |
| 2025 | ICLR | Improving Deep Regression with Tightness. | Shihao Zhang, Yuguang Yan, Angela Yao |
| 2025 | ICML | Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport. | Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao |
| 2025 | IJCNN | MATOT: A Model-Agnostic Constraint for Time Series Forecasting via Optimal Transport. | Ruichu Cai, Zhenhui Yang, Yuguang Yan, Haiqin Huang, Kaitao Zheng, Haozhi Chen, Zhifan Jiang, Zijian Li |
| 2025 | IJCNN | Cross-Network Relationship Learning via Optimal Transport for Link Prediction. | Zhifeng Hao, Zihan Chen, Zhiwei Chen, Yuguang Yan, Ruichu Cai |
| 2025 | IJCNN | Learning Implicit Relations for Collaborative Filtering via Optimal Transport. | Jingwen Wang, Chuangguang Huang, Jiabi Zheng, Yuguang Yan |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. | Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai |
| 2024 | AAAI | An Optimal Transport View for Subspace Clustering and Spectral Clustering. | Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng |
| 2024 | AAAI | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. | Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng |
| 2024 | ICML | 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 |
| 2024 | ICML | Reducing Balancing Error for Causal Inference via Optimal Transport. | Yuguang Yan, Hao Zhou, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao |
| 2024 | IJCAI | Combinatorial Routing for Neural Trees. | Jiahao Li, Ruichu Cai, Yuguang Yan |
| 2023 | CIKM | Generalization Bound for Estimating Causal Effects from Observational Network Data. | Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao |
| 2023 | ICDE | Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). | Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu |
| 2023 | ICDE | 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 |
| 2022 | MICCAI | 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 |
| 2020 | MICCAI | Deep Reinforcement Active Learning for Medical Image Classification. | Jingwen Wang, Yuguang Yan, Yubing Zhang, Guiping Cao, Ming Yang, Michael K. Ng |
| 2019 | AAAI | Oversampling for Imbalanced Data via Optimal Transport. | Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu |
| 2019 | MICCAI | Attention Guided Network for Retinal Image Segmentation. | Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu |
| 2019 | MICCAI | 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 |
| 2018 | ACML | Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. | Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu |
| 2018 | IJCAI | Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. | Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu |
| 2017 | ACML | On the Flatness of Loss Surface for Two-layered ReLU Networks. | Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan |
| 2017 | IJCAI | Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. | Yuguang Yan, Wen Li, Michael K.-P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu |
| 2016 | ECCV | Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. | Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min |