Gong, Dong

34 publications

ICLR 2025 Analytic DAG Constraints for Differentiable DAG Learning Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
TMLR 2025 Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors Haodong Lu, Xinyu Zhang, Kristen Moore, Jason Xue, Lina Yao, Anton van den Hengel, Dong Gong
ICLR 2025 Coreset Selection via Reducible Loss in Continual Learning Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong
CVPR 2025 D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation Jichun Zhao, Haiyong Jiang, Haoxuan Song, Jun Xiao, Dong Gong
CVPR 2025 DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling Xin Xie, Dong Gong
NeurIPS 2025 FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation Zeyu Zhang, Yiran Wang, Danning Li, Dong Gong, Ian Reid, Richard Hartley
TMLR 2025 Highway Graph to Accelerate Reinforcement Learning Zidu Yin, Zhen Zhang, Dong Gong, Stefano V Albrecht, Javen Qinfeng Shi
ICCV 2025 Is Less More? Exploring Token Condensation as Training-Free Test-Time Adaptation Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo
TMLR 2025 Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
ICLR 2025 Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
NeurIPS 2025 Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong
IJCAI 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen
CVPR 2025 Self-Expansion of Pre-Trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
NeurIPS 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha, Dong Gong, Lina Yao
ICLR 2024 Identifiable Latent Polynomial Causal Models Through the Lens of Change Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
ICLR 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
NeurIPSW 2024 Self-Expansion of Pre-Trained Models with Mixture of Adapters for Continual Learning Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
CVPR 2023 Learning to Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes Rui Li, Dong Gong, Wei Yin, Hao Chen, Yu Zhu, Kaixuan Wang, Xiaozhi Chen, Jinqiu Sun, Yanning Zhang
ICLR 2023 Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
NeurIPS 2023 NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha, Dong Gong, He Zhao, Lina Yao
NeurIPS 2023 RanPAC: Random Projections and Pre-Trained Models for Continual Learning Mark D. McDonnell, Dong Gong, Amin Parvaneh, Ehsan Abbasnejad, Anton van den Hengel
CVPRW 2022 A Lightweight Network for High Dynamic Range Imaging Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong
CVPR 2022 Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi
CVPRW 2022 NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results 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
NeurIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
ICCV 2021 Memory-Augmented Dynamic Neural Relational Inference Dong Gong, Frederic Z. Zhang, Javen Qinfeng Shi, Anton van den Hengel
ECCV 2020 Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation Tong He, Dong Gong, Zhi Tian, Chunhua Shen
WACV 2019 Multi-Scale Dense Networks for Deep High Dynamic Range Imaging Qingsen Yan, Dong Gong, Pingping Zhang, Qinfeng Shi, Jinqiu Sun, Ian David Reid, Yanning Zhang
ECCV 2018 Deblurring Natural Image Using Super-Gaussian Fields Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi
ECCV 2018 Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi
CVPR 2017 From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi
AAAI 2017 MPGL: An Efficient Matching Pursuit Method for Generalized LASSO Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
ICCV 2017 Self-Paced Kernel Estimation for Robust Blind Image Deblurring Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi
CVPR 2016 Blind Image Deconvolution by Automatic Gradient Activation Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi