• Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning.
  A. Alchihabi, M. Heidari, and Y. Guo. British Machine Vision Conference (BMVC), 2024.

• Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation.
  Q. En and Y. Guo. British Machine Vision Conference (BMVC), 2024.

• Local and Global Flatness for Federated Domain Generalization.
  H. Yan and Y. Guo. The European Conference on Computer Vision (ECCV), 2024.

• Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-based Contrastive Learning.
  Q. En and Y. Guo. Conference on Health, Inference, and Learning (CHIL), 2024.

• Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification.
  M. Heidari, A. Alchihabi, Q. En, and Y. Guo. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

• Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation.
  Q. En and Y. Guo. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

• Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization.
  Y. Yan and Y. Guo. AAAI Conference on Artificial Intelligence (AAAI), 2024.

• Efficient Low-Rank GNN Defense Against Structural Attacks.
  A. Alchihabi, Q. En, and Y. Guo. IEEE International Conference On Knowledge Graph (ICKG), 2023.

• Context-Aware Self-Adaptation for Domain Generalization.
  H. Yan and Y. Guo. In the Second ICML Workshop on New Frontiers in Adversarial Machine Learning (AdvML-Frontiers), 2023.

• Evolving Dictionary Representation for Few-shot Class-incremental Learning.
  X. Han and Y. Guo. European Conference on Artificial Intelligence (ECAI), 2023.

• GDM: Dual Mixup for Graph Classification with Limited Supervision.
  A. Alchihabi and Y. Guo. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2023.

• Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars.
  T. Ishtiak, Q. En, and Y. Guo. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

• Improving Word Embedding Using Variational Dropout.
  Z. Albujasim, D. Inkpen, X. Han and Y. Guo. International FLAIRS Conference (FLAIRS-36), 2023.

• Learning Robust Graph Neural Networks with Limited Supervision.
  A. Alchihabi and Y. Guo. In Proc. of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

• Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment.
  Y. Yan and Y. Guo. In Proc. of the International Conference on Learning Representations (ICLR), 2023.

• Mutual Partial Label Learning with Competitive Label Noise.
  Y. Yan and Y. Guo. In Proc. of the International Conference on Learning Representations (ICLR), 2023.

• Object Detection in 20 Years: A Survey.
  Z. Zou, K. Chen, Z. Shi, Y. Guo, and J. Ye. Proceedings of the IEEE, 2023.

• Dual GNNs: Learning Graph Neural Networks with Limited Supervision.
  A. Alchihabi and Y. Guo. In the Workshop on Graph Learning for Industrial Applications of NeurIPS 2022.

• Word Embedding Interpretation Using Co-Clustering.
  Z. Albujasim, D. Inkpen, and Y. Guo. International Conference on Data Science and Cloud Computing (DSCC), 2022.

• Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation.
  X. Han and Y. Guo. British Machine Vision Conference (BMVC), 2022.

• Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation.
  H. Yan and Y. Guo. British Machine Vision Conference (BMVC), 2022.

• Exemplar Learning for Medical Image Segmentation.
  Q. En and Y. Guo. British Machine Vision Conference (BMVC), 2022.

• Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation.
  H. Zhang and Y. Guo. In Decision Awareness in Reinforcement Learning Workshop at ICML-22.

• Augmented Self-Labeling for Source-Free Unsupervised Domain Adaptation.
  H. Yan, Y. Guo, and C. Yang. In the Distribution Shifts (DistShift) Workshop of NeurIPS 2021.

• Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
  B. Liu, Y. Guo, J. Ye, and W. Deng. In Proceedings of the British Machine Vision Conference (BMVC), 2021.

• Source-free Unsupervised Domain Adaptation with Surrogate Data Generation
  H. Yan, Y. Guo, and C. Yang. In Proceedings of the British Machine Vision Conference (BMVC), 2021.

• Continual Learning with Dual Regularizations
  X. Han and Y. Guo. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2021. (First Runner-up Student Machine Learning Paper Award)

• Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
  B. Liu, Y. Guo, J. Jiang, J. Tang, and W. Deng. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.

• Parameterless Transductive Feature Re-representation for Few-Shot Learning
  W. Cui and Y. Guo. International Conference on Machine Learning (ICML), 2021.

• Multi-level Generative Models for Partial Label Learning with Non-random Label Noise
  Y. Yan and Y. Guo. International Joint Conference on Artificial Intelligence (IJCAI), 2021.

• Adversarial Partial Multi-Label Learning with Label Disambiguation
  Y. Yan and Y. Guo. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021.

• Inverse Visual Question Answering with Multi-Level Attentions
  Y. Alwattar and Y. Guo. In Proceedings of the Asian Conference on Machine Learning (ACML), 2020.

• Adaptive Object Detection with Dual Multi-Label Prediction. Z. Zhao, Y. Guo, H. Shen, and J. Ye. In Proceedings of the European Conference on Computer Vision (ECCV), 2020.

• Bi-Dimensional Feature Alignment for Cross-Domain Object Detection.
  Z. Zhao, Y. Guo and J. Ye. In Proceedings of the TASK-CV Workshop at ECCV 2020. 

• Time-aware Large Kernel Convolutions
  V. Lioutas and Y. Guo. In Proceedings of the International Conference on Machine Learning (ICML), 2020.

• Partial Label Learning with Batch Label Correction
  Y. Yan and Y. Guo. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

• Dual Adversarial Co-Learning for Multi-Domain Text Classification
  Y. Wu and Y. Guo. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

• Brain Status Modeling with Non-negative Projective Dictionary Learning.
  M. Zhang, C. Desrosiers, Y. Guo, B. Khundrakpam, N. AI-Sharif, G. Kiar, P. Valdes-Sosa, J.-B. Poline and A. Evans. NeuroImage, 2019. 

• Domain Adaptation with Neural Embedding Matching.
  Z. Wang, B. Du, and Y. Guo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019. 

• Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
  M. Ye and Y. Guo. In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2019.

• Progressive Ensemble Networks for Zero Shot Recognition
  M. Ye and Y. Guo. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

• Supervised Segmentation of Un-annotated Retinal Fundus Images by Synthesis
  H. Zhao, H. Li, S. Maurer-Stroh, Y. Guo, Q. Deng an L. Cheng. IEEE Transactions on Medical Imaging, 38(1): 46-56, 2019.

• Deep Triplet Ranking Networks for One-Shot Recognition
  M. Ye and Y. Guo. arXiv:1804.07275, 2018.

• Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation.
  C. Shen and Y. Guo. In Proceedings of the Asian Conference on Machine Learning (ACML), 2018.

• Matrix Completion with Preference Ranking for Top- N Recommendation
  Z. Wang, Y. Guo, and B. Du . In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2018.

• Brain Status Prediction with Non-negative Projective Dictionary Learning
  M. Zhang, C. Desrosiers, Y. Guo, C. Zhang, B. Khundrakpam, and A. Evans. In Proceedings of the International Conference on Machine Learning in Medical Imaging (MLMI), 2018.

• Visual Relationship Detection with Deep Structural Ranking
  K. Liang, Y. Guo, H. Chang, and X. Chen. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.

• Labelless Scene Classification.
  M. Ye and Y. Guo. In NIPS Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. 

• Effective Query Grouping Strategy in Clouds.
  Q. Liu, Y. Guo, J. Wu and G. Wang. In Journal of Computer Science and Technology. 36(6): 1231-1249, 2017

• Labelless Scene Classification with Semantic Matching.
  M. Ye and Y. Guo. In Proceedings of the British Machine Vision Conference (BMVC), 2017.

• Incomplete Attribute Learning with Auxiliary Labels.
  K. Liang, Y. Guo, H. Chang, and X. Chen. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017.

• Learning Discriminative Recommendation Systems with Side Information
  F. Zhao and Y. Guo. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017.

• Zero-Shot Classification with Discriminative Semantic Representation Learning
  M. Ye and Y. Guo. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

• Convex Co-Embedding for Matrix Completion with Predictive Side Information
  Y. Guo. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.