This is an incomplete list. For the complete list and details of citations, please refer to [Google Scholar].

Journal papers

• (early access) Fan Ye, Bojun Liu, Li Li, Dong Liu. Rate-distortion-optimized deep preprocessing for JPEG compression. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).

• Haotian Zhang, Li Li, Dong Liu. Generalized Gaussian model for learned image compression. IEEE Transactions on Image Processing (TIP). vol 34, pp 1950-1965.
  

• Runyu Yang, Dong Liu, Feng Wu, Wen Gao. Learned image compression with efficient cross-platform entropy coding. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS). vol 15, no 1, pp 72-82.

• Zhuoyuan Li, Zikun Yuan, Li Li, Dong Liu, Xiaohu Tang, Feng Wu. Object segmentation-assisted inter prediction for versatile video coding. IEEE Transactions on Broadcasting (TBC). vol 70, no 4, pp 1236-1253.

• Chang Liu, Shunxin Xu, Jialun Peng, Kaidong Zhang, Dong Liu. Towards interactive image inpainting via robust sketch refinement. IEEE Transactions on Multimedia (TMM). vol 26, pp 9973-9987.

• Runyu Yang, Dong Liu, Feng Wu, Wen Gao. CC-SMC: Chain coding-based segmentation map lossless compression. Journal of Visual Communication and Image Representation. vol 103, article no 104222.

• Kaidong Zhang, Jialun Peng, Jingjing Fu, Dong Liu. Exploiting optical flow guidance for transformer-based video inpainting. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). vol 46, no 7, pp 4977-4992.

• Yifan Bian, Xihua Sheng, Li Li, Dong Liu. LSSVC: A learned spatially scalable video coding scheme. IEEE Transactions on Image Processing (TIP). vol 33, pp 3314-3327.
  

• Cunhui Dong, Haichuan Ma, Zhuoyuan Li, Li Li, Dong Liu. Temporal wavelet transform-based low-complexity perceptual quality enhancement of compressed video. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 34, no 5, pp 4040-4053.

• Runyu Yang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao. Perceptual quality-oriented rate allocation via distillation from end-to-end image compression. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). vol 20, no 7, article no 198, pp 1-22.

• Shuai Huo, Dong Liu, Haotian Zhang, Li Li, Siwei Ma, Feng Wu, Wen Gao. Towards hybrid-optimization video coding. ACM Computing Surveys. vol 56, no 9, article no 225, pp 1-36.

• Aolin Feng, Kang Liu, Dong Liu, Li Li, Feng Wu. Partition map prediction for fast block partitioning in VVC intra-frame coding. IEEE Transactions on Image Processing (TIP). vol 32, pp 2237-2251. [DOI]
  

• Changsheng Gao, Dong Liu, Li Li, Feng Wu. Towards task-generic image compression: A study of semantics-oriented metrics. IEEE Transactions on Multimedia (TMM). vol 25, pp 721-735. [DOI]

• Haichuan Ma, Dong Liu, Feng Wu. Rectified Wasserstein generative adversarial networks for perceptual image restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). vol 45, no 3, pp 3648-3663. [DOI]
  

• Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha. Synergy between semantic segmentation and image denoising via alternate boosting. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). vol 19, no 2, article no 69, pp 1-23. [DOI]
  

• Zeyuan Chen, Yifan Jiang, Dong Liu, Zhangyang Wang. CERL: A unified optimization framework for light enhancement with realistic noise. IEEE Transactions on Image Processing (TIP). vol 31, pp 4162-4172. [DOI]

• Haichuan Ma, Dong Liu, Ning Yan, Houqiang Li, Feng Wu. End-to-end optimized versatile image compression with wavelet-like transform. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). vol 44, no 3, pp 1247-1263. [DOI]

• Xusong Chen, Chenyi Lei, Dong Liu, Guoxin Wang, Haihong Tang, Zheng-Jun Zha, Houqiang Li. E-commerce storytelling recommendation using attentional domain-transfer network and adversarial pre-training. IEEE Transactions on Multimedia (TMM). vol 24, pp 506-518. [DOI]

• Kun Yang, Dong Liu, Zhibo Chen, Feng Wu, Weiping Li. Spatiotemporal generative adversarial network-based dynamic texture synthesis for surveillance video coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 32, no 1, pp 359-373. [DOI]

• Kang Liu, Dong Liu, Li Li, Houqiang Li. Context-adaptive inverse quantization for inter-frame coding. IEEE Open Journal of Circuits and Systems (OJ-CAS). vol 2, pp 660-674. [DOI]

• Ning Yan, Changsheng Gao, Dong Liu, Houqiang Li, Li Li, Feng Wu. SSSIC: Semantics-to-signal scalable image coding with learned structural representations. IEEE Transactions on Image Processing (TIP). vol 30, pp 8939-8954. [DOI]

• Kang Liu, Dong Liu, Li Li, Ning Yan, Houqiang Li. Semantics-to-signal scalable image compression with learned revertible representations. International Journal of Computer Vision (IJCV). vol 129, no 9, pp 2605-2621. [DOI]

• Yue Li, Yan Yi, Dong Liu, Li Li, Zhu Li, Houqiang Li. Neural-network-based cross-channel intra prediction. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). vol 17, no 3, article no 77, pp 1-23. [DOI]

• Shunxin Xu, Dong Liu, Zhiwei Xiong. E2I: Generative inpainting from edge to image. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 31, no 4, pp 1308-1322. [DOI]

• Yefei Wang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao. Ensemble learning-based rate-distortion optimization for end-to-end image compression. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 31, no 3, pp 1193-1207. [DOI]

• Shuai Huo, Dong Liu, Bin Li, Siwei Ma, Feng Wu, Wen Gao. Deep network-based frame extrapolation with reference frame alignment. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 31, no 3, pp 1178-1192. [DOI]

Conference papers

• Yunwei Lan, Zhigao Cui, Chang Liu, Jialun Peng, Nian Wang, Xin Luo, Dong Liu. Exploiting diffusion prior for real-world image dehazing with unpaired training. AAAI. Philadelphia, PA, USA. Feb 25-Mar 4, 2025.

• Tianyu Zhang, Haotian Zhang, Yuqi Li, Li Li, Dong Liu. Few-shot domain adaptation for learned image compression. AAAI. Philadelphia, PA, USA. Feb 25-Mar 4, 2025.

• Zhirui Zuo, Junqi Liao, Xiaomin Song, Zheng Liu, Huiming Zheng, Dong Liu. Frame level content adaptive λ for neural video compression. VCIP. Tokyo, Japan. Dec 8-11, 2024.

• Zhuoyuan Li, Jiacheng Li, Yao Li, Li Li, Dong Liu, Feng Wu. In-loop filtering via trained look-up tables. VCIP. Tokyo, Japan. Dec 8-11, 2024.

• Yuqi Li, Haotian Zhang, Xiaomin Song, Zheng Liu, Huiming Zheng, Li Li, Dong Liu. Deviation control for learned image compression. VCIP. Tokyo, Japan. Dec 8-11, 2024.

• Qiaoxi Chen, Changsheng Gao, Dong Liu. End-to-end learned scalable multilayer feature compression for machine vision tasks. ICIP. Abu Dhabi, United Arab Emirates. Oct 27-30, 2024.

• Runyu Yang, Dong Liu, Feng Wu, Wen Gao. Neural radiance field-assisted static-scene video coding. ICIP. Abu Dhabi, United Arab Emirates. Oct 27-30, 2024.

• Xinmin Feng, Li Li, Dong Liu, Feng Wu. Efficient partition map prediction via token sparsification for fast VVC intra coding. MMSP. West Lafayette, IN, USA. Oct 2-4, 2024.

• Jialun Peng, Xin Luo, Jingjing Fu, Dong Liu. Confidence-based iterative generation for real-world image super-resolution. ECCV. Milan, Italy. Sep 29-Oct 4, 2024.

• Rui Li, Dong Liu. Decomposition betters tracking everything everywhere. ECCV. Milan, Italy. Sep 29-Oct 4, 2024.

• Haotian Zhang, Feihong Mei, Junqi Liao, Li Li, Houqiang Li, Dong Liu. Practical learned image compression with online encoder optimization. PCS. Taichung, Taiwan, China. Jun 12-14, 2024.
  

• Ganlin Yang, Guoqiang Wei, Zhizheng Zhang, Yan Lu, Dong Liu. Mask-based modeling for neural radiance fields. ICLR. Vienna, Austria. May 7-11, 2024.
  

• Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li, Dong Liu. Offline and online optical flow enhancement for deep video compression. AAAI. Vancouver, Canada. Feb 20-27, 2024.
  

• Ziyi Zhuang, Li Li, Dong Liu. Temporal dependency-oriented deep in-loop filter for VVC. IFTC. Beijing, China. Dec 21-22, 2023.
  

• Yuqi Li, Haotian Zhang, Dong Liu. Flexible coding order for learned image compression. VCIP. Jeju, Korea. Dec 4-7, 2023.

• Rui Li, Shenglong Zhou, Dong Liu. Learning fine-grained features for pixel-wise video correspondences. ICCV. Paris, France. Oct 2-6, 2023.

• Xin Luo, Yunan Zhu, Shunxin Xu, Dong Liu. On the effectiveness of spectral discriminators for perceptual quality improvement. ICCV. Paris, France. Oct 2-6, 2023.

• Fan Ye, Li Li, Dong Liu. Content-adaptive block clustering for improving VVC adaptive loop filtering. ICIG. Nanjing, China. Sep 22-24, 2023.

• Rui Li, Dong Liu. Spatial-then-temporal self-supervised learning for video correspondence. CVPR. Vancouver, Canada. Jun 18-22, 2023.

• Haotian Zhang, Junqi Liao, Yiheng Jiang, Li Li, Dong Liu. Padding-aware learned image compression. ISCAS. Monterey, CA, USA. May 21-25, 2023.

Chinese papers

• 刘东, 王叶斐, 林建平, 马海川, 杨闰宇. 端到端优化的图像压缩技术进展. 计算机科学. 48卷, 3期, 1-8页. 2021年.

Patents

• 刘东, 叶帆, 李礼. 一种图像预处理网络的训练方法和图像预处理方法. 202311776107.0. 2023.12.22申请. 2024.03.29授权.

• 刘东, 叶帆, 李礼. 用于视频编码的环路滤波方法及装置. 202310993006.2. 2023.08.09申请. 2023.11.28授权.
  

• 刘东, 左延辰, 李礼, 孙晓艳. 一种基于率失真代价预测的编码方法和装置. 202310417791.7. 2023.04.19申请. 2023.07.14授权.

• 刘东. 视频分类方法、装置、存储介质以及设备. 201810478237.9. 2018.05.18申请. 2023.06.27授权.

• 刘东, 李跃, 杨海涛, 傅佳莉, 李厚强, 吴枫. 图像编解码方法和装置. 201810242304.7. 2018.03.22申请. 2023.01.13授权.

• 刘东, 霍帅, 李厚强, 吴枫. 一种基于神经网络的对齐外插帧方法. 201910790385.9. 2019.08.26申请. 2022.10.28授权.

• 刘东, 冯傲林, 李礼. 图像划分方法和装置. 202210463095.5. 2022.04.29申请. 2022.09.09授权.
  

• 刘东, 马海川, 吴枫. 一种模型训练方法、数据处理方法及相关设备. 202210321507.1. 2022.03.30申请. 2022.07.15授权.
  

• 刘东, 杨闰宇, 吴枫. 一种基于知识蒸馏的图像压缩质量增强方法. 202110375987.5. 2021.04.08申请. 2022.07.15授权.

• 刘东, 林建平, 李厚强, 吴枫. 一种基于神经网络的视频编码方法及系统. 202010305191.8. 2020.04.17申请. 2021.04.23授权.
  

• 刘东, 张昊辰, 熊志伟. 一种视频超分辨率增强方法. 201910191471.8. 2019.03.13申请. 2020.06.26授权.

• 刘东, 马常月, 吴枫, 彭秀莲. 交通监控视频编码方法. 201810720989.1. 2018.07.03申请. 2020.06.26授权.