By Associate Professor Yang Song

Journal articles

Song Y; Cai W; Huang H; Zhou Y; Wang Y; Feng DD, 2015, 'Locality-constrained Subcluster Representation Ensemble for lung image classification', Medical Image Analysis, 22, pp. 102 - 113, http://dx.doi.org/10.1016/j.media.2015.03.003

Song Y; Cai W; Huang H; Wang X; Zhou Y; Fulham MJ; Feng DD, 2014, 'Lesion detection and characterization with context driven approximation in thoracic FDG PET-CT images of NSCLC studies', IEEE Transactions on Medical Imaging, 33, pp. 408 - 421, http://dx.doi.org/10.1109/TMI.2013.2285931

Zhang F; Song Y; Cai W; Lee MZ; Zhou Y; Huang H; Shan S; Fulham MJ; Feng DD, 2014, 'Lung nodule classification with multilevel patch-based context analysis', IEEE Transactions on Biomedical Engineering, 61, pp. 1155 - 1166, http://dx.doi.org/10.1109/TBME.2013.2295593

Song Y; Cai W; Huang H; Wang Y; Feng DD; Chen M, 2013, 'Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling', BMC Bioinformatics, 14, http://dx.doi.org/10.1186/1471-2105-14-173

Song Y; Cai W; Zhou Y; Feng DD, 2013, 'Feature-based image patch approximation for lung tissue classification', IEEE Transactions on Medical Imaging, 32, pp. 797 - 808, http://dx.doi.org/10.1109/TMI.2013.2241448

Song Y; Cai W; Kim J; Feng DD, 2012, 'A multistage discriminative model for tumor and lymph node detection in thoracic images', IEEE Transactions on Medical Imaging, 31, pp. 1061 - 1075, http://dx.doi.org/10.1109/TMI.2012.2185057

Conference Papers

Wang J; Fan L; Jing W; Di D; Song Y; Liu S; Cong C, 2026, 'Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities', in Lecture Notes in Computer Science, pp. 283 - 293, http://dx.doi.org/10.1007/978-3-032-05141-7_28

Qu M; Yang G; Di D; Gao Y; Su T; Song Y; Fan L, 2026, 'Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning', in Lecture Notes in Computer Science, pp. 318 - 327, http://dx.doi.org/10.1007/978-3-032-05127-1_31

Qu M; Wu Y; Di D; Gao Y; Su T; Song Y; Fan L, 2026, 'Spatially Gene Expression Prediction Using Dual-Scale Contrastive Learning', in Lecture Notes in Computer Science, pp. 574 - 584, http://dx.doi.org/10.1007/978-3-032-05182-0_56

Sun S; Li X; Di D; Wei M; Nie L; Zhang W-N; Zhan D; Song Y; Fan L, 2025, 'LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning', in Proceedings of the 33rd ACM International Conference on Multimedia, ACM, pp. 5020 - 5029, presented at MM '25: The 33rd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3746027.3755724

Zang G; Li X; Di D; Nie L; Zhan D; Song Y; Fan L, 2025, 'SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment', in Proceedings of the 33rd ACM International Conference on Multimedia, ACM, pp. 5030 - 5039, presented at MM '25: The 33rd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3746027.3755725

Yin X; Di D; Fan L; Li H; Chen W; Gouxiaofei ; Song Y; Sun X; Yang X, 2025, 'GRPose: Learning Graph Relations for Human Image Generation with Pose Priors', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 9526 - 9534, http://dx.doi.org/10.1609/aaai.v39i9.33032

Luo Y; Meijering E; Song Y, 2025, 'Enhancing Change Detection in Remote Sensing: Integrating Synthetic Data with Semi-Supervised Learning', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, http://dx.doi.org/10.1109/ICASSP49660.2025.10889224

Zhu Z; Fan L; Pagnucco M; Song Y, 2025, 'Interpretable Image Classification via Non-parametric Part Prototype Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 9762 - 9771, http://dx.doi.org/10.1109/CVPR52734.2025.00912

Meske C; Abedin B; Förster M; Song Y, 2025, 'Introduction to the Minitrack on Explainable Artificial Intelligence (XAI)', in Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 1388 - 1389

Fan L; Fan D; Hu Z; Ding Y; Di D; Yi K; Pagnucco M; Song Y, 2025, 'MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 25518 - 25527, http://dx.doi.org/10.1109/CVPR52734.2025.02376

Qu M; Yang G; Di D; Su T; Gao Y; Song Y; Fan L, 2025, 'Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance', in Ijcai International Joint Conference on Artificial Intelligence, pp. 1802 - 1810, http://dx.doi.org/10.24963/ijcai.2025/201

Gao S; Baker MAB; Pagnucco M; Song Y, 2025, 'Multimodal Weakly Supervised Segmentation for Histopathology', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI60581.2025.10980775

Tang Q; Fan L; Pagnucco M; Song Y, 2025, 'Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 30271 - 30280, http://dx.doi.org/10.1109/CVPR52734.2025.02818

Qian S; Harley M; Razzak I; Song Y, 2025, 'RipGAN: A GAN-Based Rip Current Data Augmentation Method', in Proceedings IEEE International Conference on Robotics and Automation, pp. 12752 - 12758, http://dx.doi.org/10.1109/ICRA55743.2025.11128547

Fu Y; Tompkins A; Song Y; Pagnucco M, 2025, 'Structure based SAT dataset for analysing GNN generalisation', in Proceedings of Machine Learning Research, pp. 4834 - 4842

Zhong H; Song W; Pagnucco M; Song Y, 2025, 'SynerGuard: A Robust Framework for Point Cloud Classification via Local Geometry and Spatial Topology', in Proceedings IEEE International Conference on Robotics and Automation, pp. 9582 - 9589, http://dx.doi.org/10.1109/ICRA55743.2025.11127583

Govindan S; Pagnucco M; Song Y, 2025, 'Temporal Alignment of Time Sensitive Facts with Activation Engineering', in Findings of the Association for Computational Linguistics: EMNLP 2025, Association for Computational Linguistics, pp. 7640 - 7657, presented at Findings of the Association for Computational Linguistics: EMNLP 2025, - , http://dx.doi.org/10.18653/v1/2025.findings-emnlp.404

Li L; Xue H; Song Y; Salim F, 2024, 'T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation', in 32nd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2024, pp. 569 - 572, http://dx.doi.org/10.1145/3678717.3691271

Li P; De Rijke M; Xue H; Ao S; Song Y; Salim FD, 2024, 'Large Language Models for Next Point-of-Interest Recommendation', in SIGIR 2024 Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1463 - 1472, http://dx.doi.org/10.1145/3626772.3657840

Cong C; Xuan S; Liu S; Zhang S; Pagnucco M; Song Y, 2024, 'Decoupled Optimisation for Long-Tailed Visual Recognition', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 1380 - 1388, http://dx.doi.org/10.1609/aaai.v38i2.27902

Zhu Y; Tchetchenian A; Yin X; Liew A; Song Y; Meijering E, 2024, 'AC-UNet: Adaptive Connection UNet for White Matter Tract Segmentation Through Neural Architecture Search', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635404

Qu M; Wu Y; Di D; Su A; Su T; Song Y; Fan L, 2024, 'Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics', in Proceedings 2024 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2024, pp. 445 - 450, http://dx.doi.org/10.1109/BIBM62325.2024.10822232

Dodballapur V; Liu D; Song Y; Cai W, 2024, 'Cross-Domain Exemplars for Cell Counting', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635905

Limarga R; Song Y; Pagnucco M; Rajaratnam D, 2024, 'Epistemic Reasoning in Computational Machine Ethics', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 82 - 94, http://dx.doi.org/10.1007/978-981-99-8391-9_7

Limarga R; Song Y; Nayak A; Rajaratnam D; Pagnucco M, 2024, 'Formalisation and Evaluation of Properties for Consequentialist Machine Ethics', in Ijcai International Joint Conference on Artificial Intelligence, pp. 440 - 448

Sun B; Pagnucco M; Song Y, 2024, 'Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products', in Advances in Neural Information Processing Systems

Wang W; Song Y; Jha S, 2024, 'GLOBE: A High-quality English Corpus with Global Accents for Zero-shot Speaker Adaptive Text-to-Speech', in Proceedings of the Annual Conference of the International Speech Communication Association Interspeech, pp. 1365 - 1369, http://dx.doi.org/10.21437/Interspeech.2024-70

Hu Y; Meijering E; Song Y, 2024, 'Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 115 - 126, http://dx.doi.org/10.1007/978-981-99-8388-9_10

Yan S; Liu S; Di Ieva A; Pagnucco M; Song Y, 2024, 'Meta-Transfer Learning for Few-Shot Meningioma Segmentation', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635194

Malik M; Jiang J; Song Y; Jha S, 2024, 'MFVIEW: Multi-modal Fake News Detection with View-Specific Information Extraction', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 345 - 353, http://dx.doi.org/10.1007/978-3-031-56063-7_26

Fan L; Ding Y; Pagnucco M; Song Y, 2024, 'PATCH-WISE AUGMENTATION FOR ANOMALY DETECTION AND LOCALIZATION', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, pp. 5425 - 5429, http://dx.doi.org/10.1109/ICASSP48485.2024.10446994

Hu Y; Meijering E; Song Y, 2024, 'Refining Airway Segmentation Through Breakage Filling and Leakage Reduction Using Point Clouds', in IEEE International Conference on Intelligent Robots and Systems, pp. 11618 - 11623, http://dx.doi.org/10.1109/IROS58592.2024.10802488

Wang Y; Pagnucco M; Song Y, 2024, 'Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 299 - 309, http://dx.doi.org/10.1007/978-3-031-45673-2_30

Sandarenu P; Chen J; Slapetova I; Browne L; Graham PH; Swarbrick A; Millar EKA; Song Y; Meijering E, 2024, 'Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635107

Wang J; Sun Z; Tan Z; Chen X; Chen W; Li H; Zhang C; Song Y, 2024, 'Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 8446 - 8455, http://dx.doi.org/10.1109/CVPR52733.2024.00807

Heng Z; Pagnucco M; Meijering E; Song Y, 2024, 'Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation', in Proceedings International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635229

Xu Y; Guo R; Pagnucco M; Song Y, 2023, 'Draw2Edit: Mask-Free Sketch-Guided Image Manipulation', in Mm 2023 Proceedings of the 31st ACM International Conference on Multimedia, pp. 7205 - 7215, http://dx.doi.org/10.1145/3581783.3612398

Liu CY; Mohammadi G; Song Y; Johal W, 2023, 'Speech-Gesture GAN: Gesture Generation for Robots and Embodied Agents', Korea, presented at IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Korea, 28 August 2023, http://dx.doi.org/10.1109/RO-MAN57019.2023.10309493

Huang R; Tompkins A; Pagnucco M; Song Y, 2023, 'Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach', in Proceedings of Machine Learning Research, McGill University, Montréal, Québec, Canada, pp. 227 - 243, presented at Conference on Lifelong Learning Agents, 22-25 August 2023,, McGill University, Montréal, Québec, Canada, 22 August 2023 - 25 August 2023, https://proceedings.mlr.press/v232/huang23a.html

Qu M; Yang G; Di D; Su T; Gao Y; Song Y; Fan L, 2023, 'Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance', in Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, pp. 1802 - 1810, presented at Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}, 19 August 2023 - 25 August 2023, http://dx.doi.org/10.24963/ijcai.2024/201

Qian S; Pagnucco M; Song Y, 2023, 'Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation', in 2023 International Conference on Digital Image Computing Techniques and Applications Dicta 2023, pp. 49 - 56, http://dx.doi.org/10.1109/DICTA60407.2023.00016

Wan F; Wang J; Duan H; Song Y; Pagnucco M; Long Y, 2023, 'Community-Aware Federated Video Summarization', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191101

Wang W; Song Y; Jha S, 2023, 'Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations', in Proceedings of the Annual Conference of the International Speech Communication Association Interspeech, pp. 4454 - 4458, http://dx.doi.org/10.21437/Interspeech.2023-368

Huang R; Pagnucco M; Song Y, 2023, 'HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction', in IEEE International Conference on Intelligent Robots and Systems, pp. 3208 - 3213, http://dx.doi.org/10.1109/IROS55552.2023.10341647

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