Dong Gong - RankMe

131 papers A* 29A 3B 3Misc 1Journal 85Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CSTutorBench: Benchmarking Large Language Models for Realistic Computer Science Tutoring. SIGCSE (2) Zekai Cheng, Yunfeng Wan, Daijiao Liu, Yuekang Li, Yuchao Jiang, Dong Gong
2026	J	`jnl`	Concept Component Analysis: A Principled Approach for Concept Extraction in LLMs. CoRR Yuhang Liu, Erdun Gao, Dong Gong, Anton van den Hengel, Javen Qinfeng Shi
2026	J	`jnl`	HyperAlign: Hypernetwork for Efficient Test-Time Alignment of Diffusion Models. CoRR Xin Xie, Jiaxian Guo, Dong Gong
2026	J	`jnl`	Identifying Weight-Variant Latent Causal Models. J. Mach. Learn. Res. Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2026	J	`jnl`	Let Your Image Move with Your Motion! - Implicit Multi-Object Multi-Motion Transfer. CoRR Yuze Li, Dong Gong, Xiao Cao, Junchao Yuan, Dongsheng Li, Lei Zhou, Yun Sing Koh, Cheng Yan, Xinyu Zhang
2026	J	`jnl`	On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models. CoRR Chongyang Zhao, Mingsong Li, Haodong Lu, Dong Gong
2026	A*	`conf`	Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles. AAAI Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li
2025	A*	`conf`	Analytic DAG Constraints for Differentiable DAG Learning. ICLR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Analytic DAG Constraints for Differentiable DAG Learning. CoRR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	—	`conf`	Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning. WWW (Companion Volume) Xu Han, Haodong Lu, Huiyi Wang, Dong Gong
2025	J	`jnl`	Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. CoRR Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong
2025	J	`jnl`	Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. Trans. Mach. Learn. Res. Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong
2025	A*	`conf`	Coreset Selection via Reducible Loss in Continual Learning. ICLR Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong
2025	A*	`conf`	D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation. CVPR Jichun Zhao, Haiyong Jiang, Haoxuan Song, Jun Xiao, Dong Gong
2025	A*	`conf`	DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling. CVPR Xin Xie, Dong Gong
2025	J	`jnl`	Hierarchical and Step-Layer-Wise Tuning of Attention Specialty for Multi-Instance Synthesis in Diffusion Transformers. CoRR Chunyang Zhang, Zhenhong Sun, Zhicheng Zhang, Junyan Wang, Yu Zhang, Dong Gong, Huadong Mo, Daoyi Dong
2025	J	`jnl`	Highway Graph to Accelerate Reinforcement Learning. Trans. Mach. Learn. Res. Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Qinfeng Shi
2025	J	`jnl`	I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? CoRR Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. Trans. Mach. Learn. Res. Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2025	J	`jnl`	Let Your Video Listen to Your Music! CoRR Xinyu Zhang, Dong Gong, Zicheng Duan, Anton van den Hengel, Lingqiao Liu
2025	A*	`conf`	Let Your Video Listen to Your Music! - Beat-Aligned, Content-Preserving Video Editing with Arbitrary Music. ACM Multimedia Xinyu Zhang, Dong Gong, Zicheng Duan, Anton van den Hengel, Lingqiao Liu
2025	J	`jnl`	Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning. CoRR Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
2025	A*	`conf`	Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. ICLR Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
2025	J	`jnl`	Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning. CoRR Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong
2025	J	`jnl`	MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks. CoRR Mingsong Li, Lin Liu, Hongjun Wang, Haoxing Chen, Xijun Gu, Shizhan Liu, Dong Gong, Junbo Zhao, Zhenzhong Lan, Jianguo Li
2025	A*	`conf`	Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. IJCAI Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen
2025	A*	`conf`	Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CVPR Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
2025	J	`jnl`	Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test Oracles. CoRR Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li
2025	J	`jnl`	Training-Free Motion Customization for Distilled Video Generators with Adaptive Test-Time Distillation. CoRR Jintao Rong, Xin Xie, Xinyi Yu, Linlin Ou, Xinyu Zhang, Chunhua Shen, Dong Gong
2025	J	`jnl`	Training-Free Motion-Guided Video Generation with Enhanced Temporal Consistency Using Motion Consistency Loss. CoRR Xinyu Zhang, Zicheng Duan, Dong Gong, Lingqiao Liu
2025	J	`jnl`	ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet. CoRR Yuekang Li, Wei Song, Bangshuo Zhu, Dong Gong, Yi Liu, Gelei Deng, Chunyang Chen, Lei Ma, Jun Sun, Toby Walsh, Jingling Xue
2024	J	`jnl`	Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. CoRR Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
2024	A*	`conf`	CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. NeurIPS Saurav Jha, Dong Gong, Lina Yao
2024	J	`jnl`	CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR Saurav Jha, Dong Gong, Lina Yao
2024	J	`jnl`	Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure. IEEE Trans. Multim. De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang
2024	J	`jnl`	Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure. CoRR De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang
2024	J	`jnl`	DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling. CoRR Xin Xie, Dong Gong
2024	A*	`conf`	EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance. ACM Multimedia Zhenhong Sun, Junyan Wang, Zhiyu Tan, Daoyi Dong, Hailan Ma, Hao Li, Dong Gong
2024	—	`conf`	FocDepthFormer: Transformer with Latent LSTM for Depth Estimation from Focal Stack. AI (1) Xueyang Kang, Fengze Han, Abdur Razzaq Fayjie, Patrick Vandewalle, Kourosh Khoshelham, Dong Gong
2024	J	`jnl`	Highway Graph to Accelerate Reinforcement Learning. CoRR Zidu Yin, Zhen Zhang, Dong Gong, Stefano V. Albrecht, Javen Shi
2024	J	`jnl`	Identifiable Latent Neural Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	A*	`conf`	Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	J	`jnl`	Learning Mamba as a Continual Learner. CoRR Chongyang Zhao, Dong Gong
2024	A*	`conf`	Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
2024	J	`jnl`	Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
2024	J	`jnl`	Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. CoRR Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
2024	J	`jnl`	Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning. CoRR Mark D. McDonnell, Dong Gong, Ehsan Abbasnejad, Anton van den Hengel
2024	J	`jnl`	Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	J	`jnl`	SDGE: Stereo Guided Depth Estimation for 360° Camera Sets. CoRR Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu
2024	A	`conf`	SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. IROS Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu
2024	J	`jnl`	Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CoRR Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
2024	J	`jnl`	Tokens on Demand: Token Condensation as Training-free Test-time Adaptation. CoRR Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo
2024	J	`jnl`	UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation. CoRR Cheng Zhang, Dong Gong, Jiumei He, Yu Zhu, Jinqiu Sun, Yanning Zhang
2023	J	`jnl`	FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus. CoRR Xueyang Kang, Fengze Han, Abdur Razzaq Fayjie, Dong Gong
2023	J	`jnl`	Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2023	J	`jnl`	Learning Informative Latent Representation for Quantum State Tomography. CoRR Hailan Ma, Zhenhong Sun, Daoyi Dong, Dong Gong
2023	A*	`conf`	Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes. CVPR Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang
2023	J	`jnl`	Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes. CoRR Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang
2023	A*	`conf`	Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. ICLR Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
2023	J	`jnl`	Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. CoRR Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
2023	A*	`conf`	NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS Saurav Jha, Dong Gong, He Zhao, Lina Yao
2023	J	`jnl`	NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR Saurav Jha, Dong Gong, He Zhao, Lina Yao
2023	A*	`conf`	RanPAC: Random Projections and Pre-trained Models for Continual Learning. NeurIPS Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
2023	J	`jnl`	RanPAC: Random Projections and Pre-trained Models for Continual Learning. CoRR Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
2023	J	`jnl`	SharpFormer: Learning Local Feature Preserving Global Representations for Image Deblurring. IEEE Trans. Image Process. Qingsen Yan, Dong Gong, Pei Wang, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi
2022	—	`conf`	A Lightweight Network for High Dynamic Range Imaging. CVPR Workshops Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong
2022	J	`jnl`	Dual-Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Int. J. Comput. Vis. Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang
2022	J	`jnl`	High dynamic range imaging via gradient-aware context aggregation network. Pattern Recognit. Qingsen Yan, Dong Gong, Qinfeng (Javen) Shi, Anton van den Hengel, Jinqiu Sun, Yu Zhu, Yanning Zhang
2022	J	`jnl`	Identifying Latent Causal Content for Multi-Source Domain Adaptation. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi
2022	A*	`conf`	Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CVPR Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi
2022	J	`jnl`	Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. CoRR Dong Gong, Qingsen Yan, Yuhang Liu, Anton van den Hengel, Qinfeng (Javen) Shi
2022	—	`conf`	NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
2022	J	`jnl`	NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
2022	J	`jnl`	Part-Guided Attention Learning for Vehicle Instance Retrieval. IEEE Trans. Intell. Transp. Syst. Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen
2022	J	`jnl`	The Neural Process Family: Survey, Applications and Perspectives. CoRR Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao
2022	A*	`conf`	Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2022	J	`jnl`	Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2022	J	`jnl`	Video super-resolution via mixed spatial-temporal convolution and selective fusion. Pattern Recognit. Wei Sun, Dong Gong, Javen Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2022	J	`jnl`	Weight-variant Latent Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2021	A	`conf`	A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. BMVC Qingsen Yan, Bo Wang, Dong Gong, Dingwen Zhang, Yang Yang, Zheng You, Yanning Zhang, Javen Qinfeng Shi
2021	J	`jnl`	Boundarymix: Generating pseudo-training images for improving segmentation with scribble annotations. Pattern Recognit. Wanxuan Lu, Dong Gong, Kun Fu, Xian Sun, Wenhui Diao, Lingqiao Liu
2021	J	`jnl`	COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations. IEEE Trans. Big Data Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Jingyang Ai, Qinfeng Shi, Yanning Zhang, Shuo Jin, Liang Zhang, Zheng You
2021	J	`jnl`	Deep Single Image Deraining via Modeling Haze-Like Effect. IEEE Trans. Multim. Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng
2021	J	`jnl`	Image editing with varying intensities of processing. Comput. Vis. Image Underst. Yasi Wang, Yuankai Qi, Hongxun Yao, Dong Gong, Qi Wu
2021	J	`jnl`	Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu
2021	J	`jnl`	Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation. IEEE Trans. Image Process. Wei Sun, Dong Gong, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2021	A*	`conf`	Memory-augmented Dynamic Neural Relational Inference. ICCV Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel
2021	Misc	`conf`	Semi-supervised Learning via Conditional Rotation Angle Estimation. DICTA Hai-Ming Xu, Lingqiao Liu, Dong Gong
2020	J	`jnl`	COVID-19 Chest CT Image Segmentation - A Deep Convolutional Neural Network Solution. CoRR Qingsen Yan, Bo Wang, Dong Gong, Chuan Luo, Wei Zhao, Jianhu Shen, Qinfeng Shi, Shuo Jin, Liang Zhang, Zheng You
2020	J	`jnl`	Learning Deep Gradient Descent Optimization for Image Deconvolution. IEEE Trans. Neural Networks Learn. Syst. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang
2020	J	`jnl`	Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann
2020	—	`conf`	Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. ECCV (18) Tong He, Dong Gong, Zhi Tian, Chunhua Shen
2020	J	`jnl`	Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. CoRR Tong He, Dong Gong, Zhi Tian, Chunhua Shen
2020	J	`jnl`	Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation. CoRR Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2020	J	`jnl`	Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory. CoRR Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen
2020	J	`jnl`	Semi-supervised Learning via Conditional Rotation Angle Estimation. CoRR Hai-Ming Xu, Lingqiao Liu, Dong Gong
2019	J	`jnl`	ARSAC: Efficient model estimation via adaptively ranked sample consensus. Neurocomputing Rui Li, Jinqiu Sun, Dong Gong, Yu Zhu, Haisen Li, Yanning Zhang
2019	J	`jnl`	An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Trans. Image Process. Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi
2019	J	`jnl`	An Effective Two-Branch Model-Based Deep Network for Single Image Deraining. CoRR Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng
2019	A*	`conf`	Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. CVPR Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang
2019	J	`jnl`	Attention-guided Network for Ghost-free High Dynamic Range Imaging. CoRR Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang
2019	—	`conf`	End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. ISBI Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
2019	A*	`conf`	Knowledge Adaptation for Efficient Semantic Segmentation. CVPR Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
2019	J	`jnl`	Knowledge Adaptation for Efficient Semantic Segmentation. CoRR Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
2019	J	`jnl`	MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Trans. Image Process. Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2019	A*	`conf`	Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
2019	J	`jnl`	Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
2019	A	`conf`	Multi-Scale Dense Networks for Deep High Dynamic Range Imaging. WACV Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang
2019	J	`jnl`	Part-Guided Attention Learning for Vehicle Re-Identification. CoRR Xinyu Zhang, Rufeng Zhang, Jiewei Cao, Dong Gong, Mingyu You, Chunhua Shen
2019	A*	`conf`	RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CVPR Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid
2019	J	`jnl`	RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. CoRR Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid
2019	J	`jnl`	Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation. CoRR Tong Shen, Dong Gong, Wei Zhang, Chunhua Shen, Tao Mei
2019	B	`conf`	Robust and Accurate Hybrid Structure-From-Moti. ICIP Rui Li, Dong Gong, Jinqiu Sun, Yu Zhu, Ziwei Wei, Yanning Zhang
2019	J	`jnl`	Two-Stream Convolutional Networks for Blind Image Quality Assessment. IEEE Trans. Image Process. Qingsen Yan, Dong Gong, Yanning Zhang
2019	A*	`conf`	Variational Bayesian Dropout With a Hierarchical Prior. CVPR Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
2018	J	`jnl`	Blind image deblurring by promoting group sparsity. Neurocomputing Dong Gong, Rui Li, Yu Zhu, Haisen Li, Jinqiu Sun, Yanning Zhang
2018	—	`conf`	Deblurring Natural Image Using Super-Gaussian Fields. ECCV (1) Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi
2018	J	`jnl`	End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging. CoRR Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro
2018	J	`jnl`	Learning an Optimizer for Image Deconvolution. CoRR Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang
2018	J	`jnl`	MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution. CoRR Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
2018	—	`conf`	Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. ECCV (3) Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi
2018	J	`jnl`	Variational Bayesian Dropout. CoRR Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
2017	A*	`conf`	From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. CVPR Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
2017	A*	`conf`	MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. AAAI Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
2017	A*	`conf`	Self-Paced Kernel Estimation for Robust Blind Image Deblurring. ICCV Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
2016	A*	`conf`	Blind Image Deconvolution by Automatic Gradient Activation. CVPR Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
2016	J	`jnl`	From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur. CoRR Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
2014	J	`jnl`	Explicit solutions for a hierarchy of differential-difference equations. Appl. Math. Comput. Dong Gong, Xianguo Geng
2014	B	`conf`	Joint Motion Deblurring with Blurred/Noisy Image Pair. ICPR Haisen Li, Yanning Zhang, Jinqiu Sun, Dong Gong
2013	B	`conf`	Neighbor combination for atmospheric turbulence image reconstruction. ICIP Dong Gong, Yanning Zhang, Shaobo Dang, Jinqiu Sun
2012	—	`conf`	A Patch-Based Non-local Means Method for Image Denoising. IScIDE Shaobo Dang, Yanning Zhang, Dong Gong