{"id":14,"date":"2021-10-22T17:11:55","date_gmt":"2021-10-22T17:11:55","guid":{"rendered":"http:\/\/aiml.scs.carleton.ca\/?page_id=14"},"modified":"2025-11-20T05:35:47","modified_gmt":"2025-11-20T05:35:47","slug":"publications","status":"publish","type":"page","link":"https:\/\/aiml.carleton.ca\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n
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Publications<\/h3>\n<\/div>\n<\/div>\n\n\n\n
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  • Learning to Clean: Reinforcement Learning for Noisy Label Correction.<\/strong>
    M. Heidari, H. Zhang, and Y. Guo. Advances in Neural Information Processing Systems (NeurIPS), 2025. <\/li>\n<\/ul>\n\n\n\n
      \n
    • Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations.<\/strong>
      A. Alchihabi, H. Yan, and Y. Guo. NeurIPS Workshop: New Perspectives in Advancing Graph Machine Learning, 2025. <\/li>\n<\/ul>\n\n\n\n
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      • Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations.<\/strong>
        H. Zhang and Y. Guo. European Conference on Artificial Intelligence (ECAI), 2025.<\/li>\n<\/ul>\n\n\n\n
          \n
        • Class-Incremental Open-World Semi-Supervised Learning.<\/strong>
          M. Heidari, H. Zhang, and Y. Guo. CLVision ICCV-25 Workshop.<\/li>\n<\/ul>\n\n\n\n
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          • A Unified Framework for Heterogeneous Semi-supervised Learning.
            <\/strong>M. Heidari, A. Alchihabi, H. Yan, and Y. Guo. IEEE\/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025.<\/li>\n<\/ul>\n\n\n\n
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            • Zero-Shot Action Generalization with Limited Observations.
              <\/strong>A. Alchihabi, H. Zhang, and Y. Guo. International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.<\/li>\n<\/ul>\n\n\n\n
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              • Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling.
                <\/strong>M. Heidari and Y. Guo. AAAI Conference on Artificial Intelligence (AAAI), 2025.<\/li>\n<\/ul>\n\n\n\n
                  \n
                • Reinforcement Learning Guided Semi-Supervised Learning.
                  <\/strong>M. Heidari, H. Zhang, and Y. Guo. Advances in Neural Information Processing Systems (NeurIPS), 2024.<\/li>\n<\/ul>\n\n\n\n
                    \n
                  • Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations.
                    <\/strong>H. Zhang and Y. Guo. ICML Auto RL Workshop, 2024. <\/li>\n<\/ul>\n\n\n\n
                      \n
                    • Safe Reinforcement Learning with Contrastive Risk Prediction.
                      <\/strong>H. Zhang and Y. Guo. ICML Workshop on Foundations of Reinforcement Learning and Control: Connections and Perspectives, 2024. <\/li>\n<\/ul>\n\n\n\n
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                      • Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model.
                        <\/strong>H. Yan and Y. Guo. International Workshop on Federated Learning in the Age of Foundation Models (FL@FM-IJCAI’24), 2024.<\/li>\n<\/ul>\n\n\n\n
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                        • Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning.
                          <\/strong>A. Alchihabi, M. Heidari, and Y. Guo. British Machine Vision Conference (BMVC), 2024.<\/li>\n<\/ul>\n\n\n\n
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                          • Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation.
                            <\/strong>Q. En and Y. Guo. British Machine Vision Conference (BMVC), 2024.<\/li>\n<\/ul>\n\n\n\n
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                            • Local and Global Flatness for Federated Domain Generalization.
                              <\/strong>H. Yan and Y. Guo. The European Conference on Computer Vision (ECCV), 2024.<\/li>\n<\/ul>\n\n\n\n
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                              • AKGNet: Attribute Knowledge-Guided Unsupervised Lung-Infected Area Segmentation.
                                <\/strong>Q. En and Y. Guo. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024.<\/li>\n<\/ul>\n\n\n\n
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                                • Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-based Contrastive Learning.
                                  <\/strong>Q. En and Y. Guo. Conference on Health, Inference, and Learning (CHIL), 2024.<\/li>\n<\/ul>\n\n\n\n
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                                  • Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification.
                                    <\/strong>M. Heidari, A. Alchihabi, Q. En, and Y. Guo. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.<\/li>\n<\/ul>\n\n\n\n
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                                    • Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation.
                                      <\/strong>Q. En and Y. Guo. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.<\/li>\n<\/ul>\n\n\n\n
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                                      • Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization.
                                        <\/strong>Y. Yan and Y. Guo. AAAI Conference on Artificial Intelligence (AAAI), 2024.<\/li>\n<\/ul>\n\n\n\n
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                                        • Efficient Low-Rank GNN Defense Against Structural Attacks.
                                          <\/strong>A. Alchihabi, Q. En, and Y. Guo. IEEE International Conference On Knowledge Graph (ICKG), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                          • Context-Aware Self-Adaptation for Domain Generalization.
                                            <\/strong>H. Yan and Y. Guo. In the Second ICML Workshop on New Frontiers in Adversarial Machine Learning (AdvML-Frontiers), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                            • Evolving Dictionary Representation for Few-shot Class-incremental Learning.
                                              <\/strong>X. Han and Y. Guo. European Conference on Artificial Intelligence (ECAI), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                              • GDM: Dual Mixup for Graph Classification with Limited Supervision.
                                                <\/strong>A. Alchihabi and Y. Guo. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML\/PKDD), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                • Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars.
                                                  <\/strong>T. Ishtiak, Q. En, and Y. Guo. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                  • Improving Word Embedding Using Variational Dropout.
                                                    <\/strong>Z. Albujasim, D. Inkpen, X. Han and Y. Guo. International FLAIRS Conference (FLAIRS-36), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                    • Learning Robust Graph Neural Networks with Limited Supervision.
                                                      <\/strong>A. Alchihabi and Y. Guo. In Proc. of the International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                      • Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment.
                                                        <\/strong>Y. Yan and Y. Guo. In Proc. of the International Conference on Learning Representations (ICLR), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                        • Mutual Partial Label Learning with Competitive Label Noise.
                                                          <\/strong>Y. Yan and Y. Guo. In Proc. of the International Conference on Learning Representations (ICLR), 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                          • Object Detection in 20 Years: A Survey. <\/strong>
                                                            Z. Zou, K. Chen, Z. Shi, Y. Guo, and J. Ye. Proceedings of the IEEE, 2023.<\/li>\n<\/ul>\n\n\n\n
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                                                            • Dual GNNs: Learning Graph Neural Networks with Limited Supervision.
                                                              <\/strong>A. Alchihabi and Y. Guo. In the Workshop on Graph Learning for Industrial Applications of NeurIPS 2022.<\/li>\n<\/ul>\n\n\n\n
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                                                              • Word Embedding Interpretation Using Co-Clustering.
                                                                <\/strong>Z. Albujasim, D. Inkpen, and Y. Guo. International Conference on Data Science and Cloud Computing (DSCC), 2022.<\/li>\n<\/ul>\n\n\n\n
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                                                                • Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation.
                                                                  <\/strong>X. Han and Y. Guo. British Machine Vision Conference (BMVC), 2022.<\/li>\n<\/ul>\n\n\n\n
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                                                                  • Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation.
                                                                    <\/strong>H. Yan and Y. Guo. British Machine Vision Conference (BMVC), 2022.<\/li>\n<\/ul>\n\n\n\n
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                                                                    • Exemplar Learning for Medical Image Segmentation.
                                                                      <\/strong>Q. En and Y. Guo. British Machine Vision Conference (BMVC), 2022.<\/li>\n<\/ul>\n\n\n\n
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                                                                      • Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation.
                                                                        <\/strong>H. Zhang and Y. Guo. In Decision Awareness in Reinforcement Learning Workshop at ICML-22.<\/li>\n<\/ul>\n\n\n\n
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                                                                        • Augmented Self-Labeling for Source-Free Unsupervised Domain Adaptation.
                                                                          <\/strong>H. Yan, Y. Guo, and C. Yang. In the Distribution Shifts (DistShift) Workshop of NeurIPS 2021.<\/li>\n<\/ul>\n\n\n\n
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                                                                          • Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
                                                                            <\/strong>B. Liu, Y. Guo, J. Ye, and W. Deng. In Proceedings of the British Machine Vision Conference (BMVC), 2021.<\/li>\n<\/ul>\n\n\n\n
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                                                                            • Source-free Unsupervised Domain Adaptation with Surrogate Data Generation
                                                                              <\/strong>H. Yan, Y. Guo, and C. Yang. In Proceedings of the British Machine Vision Conference (BMVC), 2021.<\/li>\n<\/ul>\n\n\n\n
                                                                                \n
                                                                              • Continual Learning with Dual Regularizations
                                                                                <\/strong>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)<\/li>\n<\/ul>\n\n\n\n
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                                                                                • Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
                                                                                  <\/strong>B. Liu, Y. Guo, J. Jiang, J. Tang, and W. Deng. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.<\/li>\n<\/ul>\n\n\n\n
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                                                                                  • Parameterless Transductive Feature Re-representation for Few-Shot Learning
                                                                                    <\/strong>W. Cui and Y. Guo. International Conference on Machine Learning (ICML), 2021.<\/li>\n<\/ul>\n\n\n\n
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                                                                                    • Multi-level Generative Models for Partial Label Learning with Non-random Label Noise
                                                                                      <\/strong>Y. Yan and Y. Guo. International Joint Conference on Artificial Intelligence (IJCAI), 2021.<\/li>\n<\/ul>\n\n\n\n
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                                                                                      • Adversarial Partial Multi-Label Learning with Label Disambiguation
                                                                                        <\/strong>Y. Yan and Y. Guo. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021.<\/li>\n<\/ul>\n\n\n\n
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                                                                                        • Inverse Visual Question Answering with Multi-Level Attentions
                                                                                          <\/strong>Y. Alwattar and Y. Guo. In Proceedings of the Asian Conference on Machine Learning (ACML), 2020.<\/li>\n<\/ul>\n\n\n\n
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                                                                                          • Adaptive Object Detection with Dual Multi-Label Prediction. <\/strong>Z. Zhao, Y. Guo, H. Shen, and J. Ye. In Proceedings of the European Conference on Computer Vision (ECCV), 2020. <\/li>\n<\/ul>\n\n\n\n
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                                                                                            • Bi-Dimensional Feature Alignment for Cross-Domain Object Detection<\/strong>.
                                                                                              Z. Zhao, Y. Guo and J. Ye. In Proceedings of the TASK-CV Workshop at ECCV 2020. <\/li>\n<\/ul>\n\n\n\n
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                                                                                              • Time-aware Large Kernel Convolutions
                                                                                                <\/strong>V. Lioutas and Y. Guo. In Proceedings of the International Conference on Machine Learning (ICML), 2020.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                • Partial Label Learning with Batch Label Correction
                                                                                                  <\/strong>Y. Yan and Y. Guo. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                  • Dual Adversarial Co-Learning for Multi-Domain Text Classification
                                                                                                    <\/strong>Y. Wu and Y. Guo. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                    • Brain Status Modeling with Non-negative Projective Dictionary Learning.<\/strong>
                                                                                                      M. Zhang, C. Desrosiers, Y. Guo, B. Khundrakpam, N. AI-Sharif, G. Kiar, P. Valdes-Sosa, J.-B. Poline and A. Evans. NeuroImage, 2019. <\/li>\n<\/ul>\n\n\n\n
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                                                                                                      • Domain Adaptation with Neural Embedding Matching. <\/strong>
                                                                                                        Z. Wang, B. Du, and Y. Guo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019. <\/li>\n<\/ul>\n\n\n\n
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                                                                                                        • Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection
                                                                                                          <\/strong>M. Ye and Y. Guo. In Proceedings of the IEEE International Conference on Image Processing (ICIP), 2019.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                          • Progressive Ensemble Networks for Zero Shot Recognition
                                                                                                            <\/strong>M. Ye and Y. Guo. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                            • Supervised Segmentation of Un-annotated Retinal Fundus Images by Synthesis
                                                                                                              <\/strong>H. Zhao, H. Li, S. Maurer-Stroh, Y. Guo, Q. Deng an L. Cheng. IEEE Transactions on Medical Imaging, 38(1): 46-56, 2019.<\/li>\n<\/ul>\n
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                                                                                                              • Deep Triplet Ranking Networks for One-Shot Recognition
                                                                                                                <\/strong>M. Ye and Y. Guo. arXiv:1804.07275, 2018.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                • Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation.<\/strong>
                                                                                                                  C. Shen and Y. Guo. In Proceedings of the Asian Conference on Machine Learning (ACML), 2018.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                  • Matrix Completion with Preference Ranking for Top- N Recommendation
                                                                                                                    <\/strong>Z. Wang, Y. Guo, and B. Du . In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2018.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                    • Brain Status Prediction with Non-negative Projective Dictionary Learning
                                                                                                                      <\/strong>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.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                      • Visual Relationship Detection with Deep Structural Ranking
                                                                                                                        <\/strong>K. Liang, Y. Guo, H. Chang, and X. Chen. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                        • Labelless Scene Classification.<\/strong>
                                                                                                                          M. Ye and Y. Guo. In NIPS Workshop on Visually-Grounded Interaction and Language (ViGIL), 2017. <\/li>\n<\/ul>\n\n\n\n
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                                                                                                                          • Effective Query Grouping Strategy in Clouds.<\/strong>
                                                                                                                            Q. Liu, Y. Guo, J. Wu and G. Wang. In Journal of Computer Science and Technology. 36(6): 1231-1249, 2017<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                            • Labelless Scene Classification with Semantic Matching.
                                                                                                                              <\/strong>M. Ye and Y. Guo. In Proceedings of the British Machine Vision Conference (BMVC), 2017.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                              • Incomplete Attribute Learning with Auxiliary Labels.
                                                                                                                                <\/strong>K. Liang, Y. Guo, H. Chang, and X. Chen. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                                • Learning Discriminative Recommendation Systems with Side Information
                                                                                                                                  <\/strong>F. Zhao and Y. Guo. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2017.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                                  • Zero-Shot Classification with Discriminative Semantic Representation Learning
                                                                                                                                    <\/strong>M. Ye and Y. Guo. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.<\/li>\n<\/ul>\n\n\n\n
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                                                                                                                                    • Convex Co-Embedding for Matrix Completion with Predictive Side Information
                                                                                                                                      <\/strong>Y. Guo. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.<\/li>\n<\/ul>\n<\/div><\/main>\n","protected":false},"excerpt":{"rendered":"

                                                                                                                                      Publications Supervised Segmentation of Un-annotated Retinal Fundus Images by SynthesisH. 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 RecognitionM. Ye and Y. Guo. arXiv:1804.07275, 2018.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-page-builder.php","meta":{"footnotes":""},"class_list":["post-14","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/pages\/14","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/comments?post=14"}],"version-history":[{"count":101,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/pages\/14\/revisions"}],"predecessor-version":[{"id":805,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/pages\/14\/revisions\/805"}],"wp:attachment":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/media?parent=14"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}