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

Journal papers

• Fan Ye, Li Li, Dong Liu. Variable-rate learned image compression with integer-arithmetic-only inference. Journal of Visual Communication and Image Representation. vol 113, article no 104634.

• Haotian Zhang, Yuqi Li, Li Li, Dong Liu. Learning switchable priors for neural image compression. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). vol 35, no 11, pp 11567-11582.

• 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). vol 35, no 8, pp 8330-8343.

• 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

• Yiming Wang, Yunwei Lan, Dong Liu. Efficient perceptual video super-resolution via one-step diffusion denoising. VCIP 2025

• Lei Liu, Chuanbo Tang, Yifan Bian, Li Li, Dong Liu. Enhanced inter-frame dependency modeling with state space models for neural video compression. VCIP 2025

• Yuqi Li, Haotian Zhang, Xiongzhuang Liang, Qian He, Yiheng Jiang, Li Li, Dong Liu. Transformer-based channel autoregressive with space-to-channel context ordering for learned image compression. VCIP 2025

• Yuqi Li, Haotian Zhang, Li Li, Dong Liu. Learned image compression with hierarchical progressive context modeling. ICCV 2025

• Yunwei Lan, Zhigao Cui, Xin Luo, Chang Liu, Nian Wang, Menglin Zhang, Yanzhao Su, Dong Liu. When Schrödinger bridge meets real-world image dehazing with unpaired training. ICCV 2025

• Tianyu Zhang, Xin Luo, Li Li, Dong Liu. StableCodec: Taming one-step diffusion for extreme image compression. ICCV 2025

• Yifan Bian, Chuanbo Tang, Li Li, Dong Liu. Augmented deep contexts for spatially embedded video coding. CVPR 2025

• Chuanbo Tang, Zhuoyuan Li, Yifan Bian, Li Li, Dong Liu. Neural video compression with context modulation. CVPR 2025

• 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 2025

• Tianyu Zhang, Haotian Zhang, Yuqi Li, Li Li, Dong Liu. Few-shot domain adaptation for learned image compression. AAAI 2025

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

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

• Yuqi Li, Haotian Zhang, Xiaomin Song, Zheng Liu, Huiming Zheng, Li Li, Dong Liu. Deviation control for learned image compression. VCIP 2024

• Qiaoxi Chen, Changsheng Gao, Dong Liu. End-to-end learned scalable multilayer feature compression for machine vision tasks. ICIP 2024

• Runyu Yang, Dong Liu, Feng Wu, Wen Gao. Neural radiance field-assisted static-scene video coding. ICIP 2024

• Xinmin Feng, Li Li, Dong Liu, Feng Wu. Efficient partition map prediction via token sparsification for fast VVC intra coding. MMSP 2024.

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

• Rui Li, Dong Liu. Decomposition betters tracking everything everywhere. ECCV 2024.

• Haotian Zhang, Feihong Mei, Junqi Liao, Li Li, Houqiang Li, Dong Liu. Practical learned image compression with online encoder optimization. PCS 2024.
  

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

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

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

• Yuqi Li, Haotian Zhang, Dong Liu. Flexible coding order for learned image compression. VCIP 2023.

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

• Xin Luo, Yunan Zhu, Shunxin Xu, Dong Liu. On the effectiveness of spectral discriminators for perceptual quality improvement. ICCV 2023.

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

• Rui Li, Dong Liu. Spatial-then-temporal self-supervised learning for video correspondence. CVPR 2023.

• Haotian Zhang, Junqi Liao, Yiheng Jiang, Li Li, Dong Liu. Padding-aware learned image compression. ISCAS 2023.