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SHENG, Xihua 盛锡华
♦ Dr. Xihua Sheng is currently a Research Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University (PolyU), where he is advised by Prof. Changwen Chen.
♦ Previously, he was a Postdoctoral Fellow in the Department of Computer Science at City University of Hong Kong (CityU) from 2024/07-2026/02, where he was advised by Prof. Shiqi Wang.
♦ Dr. Sheng received the Ph.D. degree in Information and Communication Engineering from University of Science and Technology of China (USTC), Hefei, Anhui, China, in 2024/06. where he was advised by Prof. Li Li, Prof. Dong Liu, and Prof. Zhiwei Xiong.
♦ Before that, he received the B.S. degree in Automation from Northeastern University, Shenyang, China, in 2019/06.
Email-1 xihua.sheng@polyu.edu.hk
Email-2 xhsheng@mail.ustc.edu.cn
Scholar /
Github
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News
♦ 2026/02/26 is the last day in City University of Hong Kong.
♦ 2026/02/27 I have joined in The Hong Kong Polytechnic University as a Research Assistant Professor.
♦ 2026/03/05 We are holding a Grand Challenge named "Practical End-to-End Video Compression (PEVC)" at MMSP 2026.
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Publications
♦ My research interests include image/video/point cloud coding and processing.
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CADC: Content Adaptive Diffusion-Based Generative Image Compression
Xihua Sheng, Lingyu Zhu, Tianyu Zhang, Dong Liu, Shiqi Wang, Jing Wang
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2026
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VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
Xihua Sheng,
Li Li,
Dong Liu,
Houqiang Li,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
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Prediction and Reference Quality Adaptation for Learned Video Compression
Xihua Sheng,
Li Li,
Dong Liu,
Houqiang Li,
IEEE Transactions on Image Processing (TIP), 2025
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Attribute Artifacts Removal for Geometry-Based Point Cloud Compression
Xihua Sheng,
Li Li,
Dong Liu,
Zhiwei Xiong,
IEEE Transactions on Image Processing (TIP), 2022
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Fine-Grained Motion Compression and Selective Temporal Fusion for Neural B-Frame Video Coding
Xihua Sheng, Peilin Chen, Meng Wang, Li Zhang, Shiqi Wang, Dapeng Oliver Wu
IEEE Transactions on Multimedia (TMM), 2026
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Bi-Directional Deep Contextual Video Compression
Xihua Sheng, Li Li, Dong Liu, Shiqi Wang
IEEE Transactions on Multimedia (TMM), 2025
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Temporal Context Mining for Learned Video Compression
Xihua Sheng, Jiahao Li, Bin Li, Li Li, Dong Liu, Yan Lu
IEEE Transactions on Multimedia (TMM), 2022
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Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes
Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong, Zhu Li, Feng Wu
IEEE Transactions on Multimedia (TMM), 2021
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Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
Xihua Sheng, Li Li, Dong Liu, Houqiang Li
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
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DRFC: An End-to-End Deep Dynamic RF Signal Compression Framework
Xihua Sheng, Peilin Chen, Shiqi Wang, Dapeng Oliver Wu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
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AVS End-to-End Video Coding Reference Model EEM-v0.1.
AVS Proposal No. M7995.
Xihua Sheng, Li Li, Dong Liu
Submitting Institution: University of Science and Technology of China (USTC).
Meeting Location: Lichuan, Hubei.
Meeting Date: August 21-27, 2023.
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Impact of Varying Simulated Quantization Uniform Noise Amplitude on Coding Performance in AVS-EEM-v0.1.
AVS Proposal No. M8002.
Xihua Sheng, Li Li, Dong Liu
Submitting Institution: University of Science and Technology of China (USTC).
Meeting Location: Lichuan, Hubei.
Meeting Date: August 21-27, 2023.
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Impact of Increasing Training Iterations on Coding Performance in AVS-EEM-v0.1.
AVS Proposal No. M8003.
Xihua Sheng, Li Li, Dong Liu
Submitting Institution: University of Science and Technology of China (USTC).
Meeting Location: Lichuan, Hubei.
Meeting Date: August 21-27, 2023.
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A Feature-Based Motion Prediction Technique for End-to-End Video Coding.
AVS Proposal No. M8004.
Xihua Sheng, Li Li, Dong Liu
Submitting Institution: University of Science and Technology of China (USTC).
Meeting Location: Lichuan, Hubei.
Meeting Date: August 21-27, 2023.
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Multi-Scale Temporal Context Prediction for EEM.
AVS Proposal No. M8098.
Xihua Sheng, Li Li, Dong Liu
Submitting Institution: University of Science and Technology of China (USTC).
Meeting Location: Chengdu, Sichuan.
Meeting Date: December 13-16, 2023.
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YUV-Trained I-Frame Model for EEM.
AVS Proposal No. M8328.
Xihua Sheng, Li Li, Dong Liu
Submitting Institution: University of Science and Technology of China (USTC).
Meeting Location: Shaoxing, Zhejiang.
Meeting Date: June 20-23, 2024.
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Reference Quality Adaptation Method for EEM.
AVS Proposal No. M8624.
Xihua Sheng, Shiqi Wang, Li Li, Dong Liu
Submitting Institution: City University of Hong Kong (CityU), University of Science and Technology of China (USTC).
Meeting Location: Zhuhai, Guangdong.
Meeting Date: December 18-21, 2024.
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EEM I-Frame Model with Extended Bitrate Range.
AVS Proposal No. M8794.
Xihua Sheng, Shiqi Wang, Li Li, Dong Liu
Submitting Institution: City University of Hong Kong (CityU), University of Science and Technology of China (USTC).
Meeting Location: Changsha, Hunan.
Meeting Date: March 12-15, 2025.
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A Simplified EEM Motion Estimation Technique Based on Adaptive Downsampling.
AVS Proposal No. M9162.
Xihua Sheng, Shiqi Wang, Long Xu, Zhirui Zuo, Li Li, Dong Liu
Submitting Institution: City University of Hong Kong (CityU), University of Science and Technology of China (USTC).
Meeting Location: Dalian, Liaoning.
Meeting Date: August 23-26, 2025.
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Enhanced Training Dataset and Method for EEM.
AVS Proposal No. M9351.
Xihua Sheng, Shiqi Wang, Zhirui Zuo, Li Li, Dong Liu
Submitting Institution: City University of Hong Kong (CityU), University of Science and Technology of China (USTC).
Meeting Location: Macau.
Meeting Date: December 6-9, 2025.
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A Feature Refresh Method for Enhanced Training of EEM.
AVS Proposal No. M9352.
Xihua Sheng, Shiqi Wang, Zhirui Zuo, Li Li, Dong Liu
Submitting Institution: City University of Hong Kong (CityU), University of Science and Technology of China (USTC).
Meeting Location: Macau.
Meeting Date: December 6-9, 2025.
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Grand Challenges
♦ Top Performance Award in the End-to-end Track of ISCAS 2023 Grand Challenge on Neural Network-based Video Coding
♦ First Prize Winner of the VCIP 2023 Practical End-to-End Video Compression Challenge
♦ Second Prize Winner in the Speed Track of VCIP 2022 Practical End-to-End Image Compression Challenge
♦ Second Prize Winner in the Speed Track of VCIP 2023 Practical End-to-End Image Compression Challenge
♦ Tenth Winner in the "AI+ Visual Feature Coding" Track of the 3rd National Artificial Intelligence Competition
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Awards
♦ 2025 ACM China SIGMM Award for Outstanding PhD Thesis
♦ 2024 The President's Excellence Award of Chinese Academy of Sciences
♦ 2024 Outstanding Graduate of Anhui Province
♦ 2024 Outstanding Graduate of University of Science and Technology of China (USTC)
♦ 2023 National Scholarship
♦ 2019-2024 Scholarship for Postgraduate Students of University of Science and Technology of China (USTC)
♦ 2015-2019 Scholarship for Students of Northeastern University (NEU)
♦ 2019 Outstanding Graduate of Northeastern University (NEU)
♦ 2017 National Scholarship
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Template credit to Jon Barron.
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