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

Journal papers

• (Early Access) 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).

• 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]

• Xusong Chen, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha. Learning and fusing multiple user interest representations for micro-video and movie recommendations. IEEE Transactions on Multimedia (TMM). vol 23, pp 484-496. [DOI]

• Dong Liu, Ke Sun, Zhangyang Wang, Runsheng Liu, Zheng-Jun Zha. Frank-Wolfe network: An interpretable deep structure for non-sparse coding. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 30, no 9, pp 3068-3080. [DOI]

• Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, Yuanying Dai. A comprehensive benchmark for single image compression artifact reduction. IEEE Transactions on Image Processing (TIP). vol 29, pp 7845-7860. [DOI]

• Haichuan Ma, Dong Liu, Ruiqin Xiong, Feng Wu. iWave: CNN-based wavelet-like transform for image compression. IEEE Transactions on Multimedia (TMM). vol 22, no 7, pp 1667-1679. [DOI]

• Dong Liu, Zhenzhong Chen, Shan Liu, Feng Wu. Deep learning-based technology in responses to the joint call for proposals on video compression with capability beyond HEVC. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 30, no 5, pp 1267-1280. [DOI]

• Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu. Deep learning-based video coding: A review and a case study. ACM Computing Surveys. vol 53, no 1, article no 11, pp 1-35. [DOI]

Conference papers

• 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.

• Cunhui Dong, Haichuan Ma, Dong Liu, John W. Woods. Wavelet-based learned scalable video coding. ISCAS. Hybrid (Austin, TX, USA). May 28-Jun 1, 2022. (ISCAS Grand Challenge Top Creativity Award)

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.