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
ISCAS 2022竞赛最具创新论文奖
带领学生在ISCAS 2023、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) 国家自然科学基金优青项目：图像视频编码，批准号：62022075。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。

(Early Access) Chang Liu, Shunxin Xu, Jialun Peng, Kaidong Zhang, Dong Liu. Towards interactive image inpainting via robust sketch refinement. IEEE Transactions on Multimedia (TMM).

(Early Access) 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).

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]

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)

Ziqiu Zhang, Changyue Ma, Dong Liu, Li Li, Feng Wu. Improving VVC intra coding via probability estimation and fusion of multiple prediction modes. ICIG. Haikou, China. Dec 26-28, 2021.

Yunan Zhu, Haichuan Ma, Jialun Peng, Dong Liu, Zhiwei Xiong. Recycling discriminator: Towards opinion-unaware image quality assessment using Wasserstein GAN. MM. Chengdu, China. Oct 20-24, 2021.

Jianping Lin, Dong Liu, Jie Liang, Houqiang Li, Feng Wu. A deeply modulated scheme for variable-rate video compression. ICIP. Online. Sep 19-22, 2021.

Runyu Yang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao. Knowledge distillation from end-to-end image compression to VVC intra coding for perceptual quality enhancement. ICIP. Online. Sep 19-22, 2021.

Aolin Feng, Changsheng Gao, Li Li, Dong Liu, Feng Wu. CNN-based depth map prediction for fast block partitioning in HEVC intra coding. ICME. Online. Jul 5-9, 2021.

Jialun Peng, Dong Liu, Songcen Xu, Houqiang Li. Generating diverse structure for image inpainting with hierarchical VQ-VAE. CVPR. Online. Jun 19-25, 2021.

Zeyuan Chen, Yangchao Wang, Yang Yang, Dong Liu. PSD: Principled synthetic-to-real dehazing guided by physical priors. CVPR. Online. Jun 19-25, 2021.

Hengrui Zhao, Dong Liu, Houqiang Li. Efficient integer-arithmetic-only convolutional networks with bounded ReLU. ISCAS. Online. May 22-28, 2021.