Dong Gong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
14
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles. | Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li |
| 2026 | SIGCSE | CSTutorBench: Benchmarking Large Language Models for Realistic Computer Science Tutoring. | Zekai Cheng, Yunfeng Wan, Daijiao Liu, Yuekang Li, Yuchao Jiang, Dong Gong |
| 2025 | CVPR | Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. | Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong |
| 2025 | CVPR | DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling. | Xin Xie, Dong Gong |
| 2025 | CVPR | D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation. | Jichun Zhao, Haiyong Jiang, Haoxuan Song, Jun Xiao, Dong Gong |
| 2025 | ICCV | Is Less More? Exploring Token Condensation as Training-Free Test-Time Adaptation. | Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Coreset Selection via Reducible Loss in Continual Learning. | Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong |
| 2025 | IJCAI | Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. | Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen |
| 2025 | WWW | Balancing Plasticity and Stability via Dual-Branch Learning in Online Continual Learning. | Xu Han, Haodong Lu, Huiyi Wang, Dong Gong |
| 2024 | ICLR | Learning with Mixture of Prototypes for Out-of-Distribution Detection. | Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore |
| 2024 | ICLR | 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 |
| 2024 | IROS | SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. | Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu |
| 2023 | CVPR | 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 |
| 2023 | ICLR | 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 |
| 2022 | CVPR | NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. | Eduardo Prez-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 Marn-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Rttger, 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 C. Holston, Sheir Zaheer, Chan Y. Park |
| 2022 | CVPR | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. | Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi |
| 2022 | CVPR | 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 |
| 2021 | BMVC | A Comprehensive CT Dataset for Liver Computer Assisted Diagnosis. | Qingsen Yan, Bo Wang, Dong Gong, Dingwen Zhang, Yang Yang, Zheng You, Yanning Zhang, Javen Qinfeng Shi |
| 2021 | DICTA | Semi-supervised Learning via Conditional Rotation Angle Estimation. | Hai-Ming Xu, Lingqiao Liu, Dong Gong |
| 2021 | ICCV | Memory-augmented Dynamic Neural Relational Inference. | Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel |
| 2020 | ECCV | Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. | Tong He, Dong Gong, Zhi Tian, Chunhua Shen |
| 2019 | CVPR | Knowledge Adaptation for Efficient Semantic Segmentation. | Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan |
| 2019 | CVPR | RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion. | Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian D. Reid |
| 2019 | CVPR | Variational Bayesian Dropout With a Hierarchical Prior. | Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi |
| 2019 | CVPR | Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. | Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian D. Reid, Yanning Zhang |
| 2019 | ICCV | Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. | Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel |
| 2019 | ICIP | Robust and Accurate Hybrid Structure-From-Moti. | Rui Li, Dong Gong, Jinqiu Sun, Yu Zhu, Ziwei Wei, Yanning Zhang |
| 2019 | WACV | 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 |
| 2018 | ECCV | Deblurring Natural Image Using Super-Gaussian Fields. | Yuhang Liu, Wenyong Dong, Dong Gong, Lei Zhang, Qinfeng Shi |
| 2018 | ECCV | Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal. | Jie Yang, Dong Gong, Lingqiao Liu, Qinfeng Shi |
| 2017 | AAAI | MPGL: An Efficient Matching Pursuit Method for Generalized LASSO. | Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi |
| 2017 | CVPR | From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur. | Dong Gong, Jie Yang, Lingqiao Liu, Yanning Zhang, Ian D. Reid, Chunhua Shen, Anton van den Hengel, Qinfeng Shi |
| 2017 | ICCV | Self-Paced Kernel Estimation for Robust Blind Image Deblurring. | Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi |
| 2016 | CVPR | Blind Image Deconvolution by Automatic Gradient Activation. | Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi |
| 2014 | ICPR | Joint Motion Deblurring with Blurred/Noisy Image Pair. | Haisen Li, Yanning Zhang, Jinqiu Sun, Dong Gong |
| 2013 | ICIP | Neighbor combination for atmospheric turbulence image reconstruction. | Dong Gong, Yanning Zhang, Shaobo Dang, Jinqiu Sun |