By Dr Dong Gong

Journal articles

Yin Z; Qi Y; Gong D; Abbasnejad E; Yue K; Shi JQ, 2026, 'Link prediction on multi-relational graphs from an influence propagation perspective', Pattern Recognition, 180, http://dx.doi.org/10.1016/j.patcog.2026.114039

Lai Z; Li H; Zhang D; Gong D; Yao L; Jensen CS, 2026, 'Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments', IEEE Transactions on Knowledge and Data Engineering, 38, pp. 6701 - 6715, http://dx.doi.org/10.1109/TKDE.2026.3717792

Ma H; Sun Z; Dong D; Gong D, 2026, 'Learning Informative Latent Representation for Quantum State Tomography', IEEE Transactions on Emerging Topics in Computational Intelligence, 10, pp. 2199 - 2209, http://dx.doi.org/10.1109/TETCI.2025.3543767

Liu Y; Zhang Z; Gong D; Gong M; Huang B; van den Hengel A; Zhang K; Shi JQ, 2026, 'Identifying Weight-Variant Latent Causal Models', Journal of Machine Learning Research, 27

Lu H; Zhang X; Xue J; Yao L; Gong D; Van Den Hengel A, 2025, 'Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors', Transactions on Machine Learning Research, 2025, pp. 1 - 27

Liu Y; Zhang Z; Gong D; Gong M; Huang B; van den Hengel A; Zhang K; Shi JQ, 2025, 'Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation', Transactions on Machine Learning Research, 2025-April

Cheng D; Ji Y; Gong D; Li Y; Wang N; Han J; Zhang D, 2024, 'Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure', IEEE Transactions on Multimedia, 26, pp. 8184 - 8196, http://dx.doi.org/10.1109/TMM.2024.3377136

Yin Z; Zhang Z; Gong D; Albrecht SV; Shi JQ, 2024, 'Highway Graph to Accelerate Reinforcement Learning', Transactions on Machine Learning Research, 2024

Yan Q; Fruzangohar M; Taylor J; Gong D; Walter J; Norman A; Shi JQ; Coram T, 2023, 'Improved genomic prediction using machine learning with Variational Bayesian sparsity', Plant Methods, 19, http://dx.doi.org/10.1186/s13007-023-01073-3

Yan Q; Gong D; Wang P; Zhang Z; Zhang Y; Shi JQ, 2023, 'SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring', IEEE Transactions on Image Processing, 32, pp. 2857 - 2866, http://dx.doi.org/10.1109/TIP.2023.3251029

Sun W; Gong D; Shi JQ; van den Hengel A; Zhang Y, 2022, 'Video super-resolution via mixed spatial-temporal convolution and selective fusion', Pattern Recognition, 126, http://dx.doi.org/10.1016/j.patcog.2022.108577

Zhang X; Zhang R; Cao J; Gong D; You M; Shen C, 2022, 'Part-Guided Attention Learning for Vehicle Instance Retrieval', IEEE Transactions on Intelligent Transportation Systems, 23, pp. 3048 - 3060, http://dx.doi.org/10.1109/TITS.2020.3030301

Yan Q; Gong D; Shi JQ; den Hengel AV; Sun J; Zhu Y; Zhang Y, 2022, 'High dynamic range imaging via gradient-aware context aggregation network', Pattern Recognition, 122, http://dx.doi.org/10.1016/j.patcog.2021.108342

Yan Q; Gong D; Shi JQ; van den Hengel A; Shen C; Reid I; Zhang Y, 2022, 'Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging', International Journal of Computer Vision, 130, pp. 76 - 94, http://dx.doi.org/10.1007/s11263-021-01535-y

Wang Y; Qi Y; Yao H; Gong D; Wu Q, 2021, 'Image editing with varying intensities of processing', Computer Vision and Image Understanding, 211, http://dx.doi.org/10.1016/j.cviu.2021.103260

Lu W; Gong D; Fu K; Sun X; Diao W; Liu L, 2021, 'Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations', Pattern Recognition, 117, http://dx.doi.org/10.1016/j.patcog.2021.107924

Yan Q; Wang B; Gong D; Luo C; Zhao W; Shen J; Ai J; Shi Q; Zhang Y; Jin S; Zhang L; You Z, 2021, 'COVID-19 Chest CT image segmentation network by multi-scale fusion and enhancement operations', IEEE Transactions on Big Data, 7, pp. 13 - 24, http://dx.doi.org/10.1109/TBDATA.2021.3056564

Tan M; Hu Z; Yan Y; Cao J; Gong D; Wu Q, 2021, 'Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold', IEEE Transactions on Knowledge and Data Engineering, 33, pp. 1078 - 1088, http://dx.doi.org/10.1109/TKDE.2019.2935449

Wang Y; Gong D; Yang J; Shi Q; Hengel AVD; Xie D; Zeng B, 2021, 'Deep Single Image Deraining via Modeling Haze-Like Effect', IEEE Transactions on Multimedia, 23, pp. 2481 - 2492, http://dx.doi.org/10.1109/TMM.2020.3013383

Sun W; Gong D; Shi Q; Van Den Hengel A; Zhang Y, 2021, 'Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation', IEEE Transactions on Image Processing, 30, pp. 2947 - 2962, http://dx.doi.org/10.1109/TIP.2021.3049951

Gong D; Zhang Z; Shi Q; Van Den Hengel A; Shen C; Zhang Y, 2020, 'Learning Deep Gradient Descent Optimization for Image Deconvolution', IEEE Transactions on Neural Networks and Learning Systems, 31, pp. 5468 - 5482, http://dx.doi.org/10.1109/TNNLS.2020.2968289

Liu W; Gong D; Tan M; Shi JQ; Yang Y; Hauptmann AG, 2020, 'Learning Distilled Graph for Large-Scale Social Network Data Clustering', IEEE Transactions on Knowledge and Data Engineering, 32, pp. 1393 - 1404, http://dx.doi.org/10.1109/TKDE.2019.2904068

Yan Q; Gong D; Zhang Y, 2019, 'Two-Stream Convolutional Networks for Blind Image Quality Assessment', IEEE Transactions on Image Processing, 28, pp. 2200 - 2211, http://dx.doi.org/10.1109/TIP.2018.2883741

Gong D; Tan M; Shi Q; Van Den Hengel A; Zhang Y, 2019, 'MPTV: Matching pursuit-based total variation minimization for image deconvolution', IEEE Transactions on Image Processing, 28, pp. 1851 - 1865, http://dx.doi.org/10.1109/TIP.2018.2875352

Suwanwimolkul S; Zhang L; Gong D; Zhang Z; Chen C; Ranasinghe DC; Qinfeng Shi J, 2019, 'An adaptive markov random field for structured compressive sensing', IEEE Transactions on Image Processing, 28, pp. 1556 - 1570, http://dx.doi.org/10.1109/TIP.2018.2878294

Li R; Sun J; Gong D; Zhu Y; Li H; Zhang Y, 2019, 'ARSAC: Efficient model estimation via adaptively ranked sample consensus', Neurocomputing, 328, pp. 88 - 96, http://dx.doi.org/10.1016/j.neucom.2018.02.103

Gong D; Li R; Zhu Y; Li H; Sun J; Zhang Y, 2018, 'Blind image deblurring by promoting group sparsity', Neurocomputing, 310, pp. 190 - 200, http://dx.doi.org/10.1016/j.neucom.2018.05.025

Conference Papers

Cheng Z; Wan Y; Liu D; Li Y; Jiang Y; Gong D, 2026, 'CSTutorBench: Benchmarking Large Language Models for Realistic Computer Science Tutoring', in SIGCSE TS 2026 Proceedings of the 57th ACM Technical Symposium on Computer Science Education V 2, pp. 1263 - 1264, http://dx.doi.org/10.1145/3770761.3777333

Xu Z; Ding J; Lou Y; Zhang K; Gong D; Li Y, 2026, 'Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 19433 - 19440, http://dx.doi.org/10.1609/aaai.v40i23.39021

Zhang X; Gong D; Duan Z; Van Den Hengel A; Liu L, 2025, 'Let Your Video Listen to Your Music! - Beat-Aligned, Content-Preserving Video Editing with Arbitrary Music', in Mm 2025 Proceedings of the 33rd ACM International Conference on Multimedia Co Located with mm 2025, pp. 12140 - 12149, http://dx.doi.org/10.1145/3746027.3758140

Han X; Lu H; Wang H; Gong D, 2025, 'Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning', in Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 1014 - 1018, http://dx.doi.org/10.1145/3701716.3715590

Zhang Z; Ng I; Gong D; Liu Y; Gong M; Huang B; Zhang K; van den Hengel A; Shi JQ, 2025, 'ANALYTIC DAG CONSTRAINTS FOR DIFFERENTIABLE DAG LEARNING', in 13th International Conference on Learning Representations Iclr 2025, pp. 63845 - 63870

Tong R; Liu Y; Shi JQ; Gong D, 2025, 'CORESET SELECTION VIA REDUCIBLE LOSS IN CONTINUAL LEARNING', in 13th International Conference on Learning Representations Iclr 2025, pp. 57701 - 57736

Zhao J; Jiang H; Song H; Xiao J; Gong D, 2025, 'D3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 11864 - 11874, http://dx.doi.org/10.1109/CVPR52734.2025.01108

Xie X; Gong D, 2025, 'DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 13220 - 13230, http://dx.doi.org/10.1109/CVPR52734.2025.01234

Zhang Z; Wang Y; Li D; Gong D; Reid I; Hartley R, 2025, 'FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation', in Advances in Neural Information Processing Systems, pp. 37815 - 37845

Kang X; Han F; Fayjie AR; Vandewalle P; Khoshelham K; Gong D, 2025, 'FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 273 - 290, http://dx.doi.org/10.1007/978-981-96-0348-0_20

Jha S; Yang S; Ishii M; Zhao M; Simon C; Mirza MJ; Gong D; Yao L; Takahashi S; Mitsufuji Y, 2025, 'MINING YOUR OWN SECRETS: DIFFUSION CLASSIFIER SCORES FOR CONTINUAL PERSONALIZATION OF TEXT-TO-IMAGE DIFFUSION MODELS', in 13th International Conference on Learning Representations Iclr 2025, pp. 43139 - 43168

Tong R; Lu H; Liu Y; Gong D, 2025, 'Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning', in Advances in Neural Information Processing Systems, pp. 25133 - 25168

Jing C; Liu M; Chen H; Xi Y; Bu X; Gong D; Shen C, 2025, 'Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning', in Ijcai International Joint Conference on Artificial Intelligence, pp. 1278 - 1286, http://dx.doi.org/10.24963/ijcai.2025/143

Wang H; Lu H; Yao L; Gong D, 2025, 'Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 10087 - 10098, http://dx.doi.org/10.1109/CVPR52734.2025.00943

Sun Z; Wang J; Tan Z; Dong D; Ma H; Li H; Gong D, 2024, 'EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance', in Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia, pp. 6637 - 6645, http://dx.doi.org/10.1145/3664647.3680898

Jha S; Gong D; Yao L, 2024, 'CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models', in Advances in Neural Information Processing Systems

Liu Y; Zhang Z; Gong D; Gong M; Huang B; van den Hengel A; Zhang K; Shi JQ, 2024, 'IDENTIFIABLE LATENT POLYNOMIAL CAUSAL MODELS THROUGH THE LENS OF CHANGE', in 12th International Conference on Learning Representations Iclr 2024

Lu H; Gong D; Wang S; Xue J; Yao L; Moore K, 2024, 'LEARNING WITH MIXTURE OF PROTOTYPES FOR OUT-OF-DISTRIBUTION DETECTION', in 12th International Conference on Learning Representations Iclr 2024

Xu J; Yin W; Gong D; Jiang J; Liu X, 2024, 'SDGE: Stereo Guided Depth Estimation for 360°Camera Sets', in IEEE International Conference on Intelligent Robots and Systems, pp. 11179 - 11186, http://dx.doi.org/10.1109/IROS58592.2024.10802599

Li R; Gong D; Yin W; Chen H; Zhu Y; Wang K; Chen X; Sun J; Zhang Y, 2023, 'Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 21539 - 21548, http://dx.doi.org/10.1109/CVPR52729.2023.02063

Wang J; Sun Z; Qian Y; Gong D; Sun X; Lin M; Pagnucco M; Song Y, 2023, 'MAXIMIZING SPATIO-TEMPORAL ENTROPY OF DEEP 3D CNNS FOR EFFICIENT VIDEO RECOGNITION', in 11th International Conference on Learning Representations Iclr 2023

Jha S; Zhao H; Gong D; Yao L, 2023, 'NPCL: Neural Processes for Uncertainty-Aware Continual Learning', in Advances in Neural Information Processing Systems

McDonnell MD; Gong D; Parveneh A; Abbasnejad E; van den Hengel A, 2023, 'RanPAC: Random Projections and Pre-trained Models for Continual Learning', in Advances in Neural Information Processing Systems

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