2004/09~2009/06，中国科学技术大学， 电子科学与技术系学习， 博士

2000/09~2004/06，中国科学技术大学， 电子科学与技术系学习， 学士

图像视频处理、编码、分析和数据挖掘

2020/11~至今，          中国科学技术大学， 特任教授

2012/12～2020/11，   中国科学技术大学， 副教授

2009/07～2012/08，   诺基亚研究院，       研究员

2019年国家技术发明二等奖（序3）

2015年国家自然科学二等奖（序4）

2009年IEEE TCSVT期刊最佳论文奖（第一作者）

VCIP 2016前10%论文奖

带领学生在ISCAS 2022、ICCV 2019、ACM MM 2019、ACM MM 2018、ECCV 2018、CVPR 2018、ICME 2016等会议的多项竞赛中获奖。

国家自然科学基金优青项目：图像视频编码，批准号：62022075。负责人。

国家重点研发计划课题：网络化通信服务的容量度量及优化方法，课题编号：2018YFA0701603。课题组成员。

国家自然科学基金重点项目：面向遥感影像的视觉启发机器学习方法研究，批准号：62036005。子课题负责人。

国家自然科学基金重点项目：3D视频智能编码理论与方法，批准号：61931014。子课题负责人。

(已结题) 国家自然科学基金面上项目：面向视觉质量优化的深度学习视频编码，批准号：61772483。负责人。

(已结题) 国家重点基础研究发展计划(973计划)课题：与视感知一致的视觉信息编码理论，课题编号：2015CB351803。课题组成员。

(已结题) 国家自然科学基金重大项目课题：群体化图像视频编码理论与方法，批准号：61390512。子课题负责人。

(已结题) 国家自然科学基金重点项目：高分辨率SAR成像要素影响与集成化处理平台，批准号：61331017。子课题负责人。

(已结题) 国家自然科学基金青年基金项目：云环境中基于三维世界模型的图像表示与压缩，批准号：61303149。负责人。

(Early Access) 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). [DOI]

(Early Access) Haichuan Ma, Dong Liu, Feng Wu. Rectified Wasserstein generative adversarial networks for perceptual image restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). [DOI]

(Early Access) Changsheng Gao, Dong Liu, Li Li, Feng Wu. Towards task-generic image compression: A study of semantics-oriented metrics. IEEE Transactions on Multimedia (TMM). [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]