My name is Haotian Zhang. I am pursuing a PhD degree in the Intelligent Visual Data Coding Laboratory at the University of Science and Technology of China (USTC). My supervisor is Professor Dong Liu.

My research interests include:

Image/Video compression
Machine learning
Computer vision

My recent research focuses on:

Optimization for quantization in learned image compression
Practical learned image compression system

🎓 Educations

2017.09 - 2021.06, Undergraduate, University of Science and Technology of China, School of Information Science and Technology.
2021.09 - 2023.07, Master student, University of Science and Technology of China, Department of Electronic Engineering and Information Science.
2023.08 - Now, PhD student, University of Science and Technology of China, Department of Electronic Engineering and Information Science.

📝 Publications

PCS 2024

Haotian Zhang, Feihong Mei, Junqi Liao, Li Li, Houqiang Li, Dong Liu. Practical Learned Image Compression with Online Encoder Optimization. Picture Coding Symposium (PCS), 2024. [url]

Haotian Zhang, Li Li, Dong Liu. On Uniform Scalar Quantization for Learned Image Compression. Arxiv, 2023. [url]

ISCAS 2023

Haotian Zhang, Junqi Liao, Yiheng Jiang, Li Li, Dong Liu. Padding-Aware Learned Image Compression. International Symposium on Circuits and Systems (ISCAS), 2023. [url]

Yuqi Li, Haotian Zhang, Xiaomin Song, Zheng Liu, Huiming Zheng, Li Li, Dong Liu. Deviation Control for Learned Image Compression. International Conference on Visual Communications and Image Processing (VCIP), 2024.
Yuqi Li, Haotian Zhang, Dong Liu. Flexible Coding Order for Learned Image Compression. International Conference on Visual Communications and Image Processing (VCIP), 2023. [url]
Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li, Dong Liu. Offline and Online Optical Flow Enhancement for Deep Video Compression. AAAI Conference on Artificial Intelligence (AAAI), 2024. [url]
Zhuoyuan Li, Junqi Liao, Chuanbo Tang, Haotian Zhang, Yuqi Li, Yifan Bian, Xihua Sheng, Xinmin Feng, Yao Li, Changsheng Gao, Li Li, Dong Liu, Feng Wu. USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s. Arxiv, 2024. [url]
Shuai Huo, Dong Liu, Haotian Zhang, Li Li, Siwei Ma, Feng Wu, Wen Gao. Towards Hybrid-optimization Video Coding. ACM Computing Surveys, 2024. [url]
Cunhui Dong, Haichuan Ma, Haotian Zhang, Changsheng Gao, Li Li, Dong Liu. Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding. Arxiv, 2024. [url]

💻 Standard Contributions

IEEE 1857.11

2021.12 - now Serves as a software coordinator of IEEE 1857.11.
Adopted proposals
Rui Mao, Yutao Xie, Bowei Kang, Haotian Zhang, Li Li, Dong Liu, Xiaoyan Sun. 2024. Match the reference software with WD: lossy entropy model quantization for iWave. Tech. Rep. VC-54-M471.
Yutao Xie, Rui Mao, Bowei Kang, Haotian Zhang, Li Li, Dong Liu, Xiaoyan Sun. 2024. Match the reference software with WD: lossless entropy model quantization for iWave. Tech. Rep. VC-54-M472.
Tianyu Zhang, Zhirui Zuo, Haotian Zhang, Junqi Liao, Feihong Mei, Li Li, Dong Liu. 2023. CE5: Entropy codec engine convergence. Tech. Rep. VC-46-M407.
Bowei Kang, Haotian Zhang, Cunhui Dong, Li Li, Dong Liu. 2023. Match the reference software with WD: decoupling parsing and reconstruction process in iWave. Tech. Rep. VC-44-M393.
Haichuan Ma, Cunhui Dong, Huairui Wang, Haotian Zhang, Zhe Zhang, Han Zhu, Ding Ding, Li Li, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Dong Liu. 2022. Response to the Call for Proposals on Neural Network-Based Image Coding by Team DwOTeo. Tech. Rep. VC-38-M326.
Haotian Zhang, Jianping Lin, Dong Liu. 2021. Suggestions on modifying the configuration of the anchor NIC. Tech. Rep. VC-36-M315.
Haotian Zhang, Jianping Lin, Li Li, Dong Liu. 2021. Algorithm description of VR-models for NIC-0.3 and NIC-0.4. Tech. Rep. VC-36-M313.
Jianping Lin, Haotian Zhang, Dong Liu. 2021. Algorithm Description of NIC-0.2 using 3 Variable-Rate NIC Models. Tech. Rep. VC-34-M290.
Jianping Lin, Haotian Zhang, Dong Liu. 2021. Algorithm Description of Variable-Rate NIC Model. Tech. Rep. VC-33-M280.
Other proposals
Haotian Zhang, Yuqi Li, Li Li, Dong Liu. 2024. Explorative study of large-scale models for end-to-end image coding. Tech. Rep. VC-54-M473.
Yutao Xie, Rui Mao, Bowei Kang, Haotian Zhang, Li Li, Dong Liu, Xiaoyan Sun. 2024. Match the reference software with WD: entropy model quantization for iWave. Tech. Rep. VC-53-M463.
Yiheng Jiang, Haotian Zhang, Cunhui Dong, Li Li, Dong Liu. 2023. Entropy coding acceleration for iWave. Tech. Rep. VC-44-M394.
Haotian Zhang, Feihong Mei, Li Li, Dong Liu. 2023. Entropy codec engine convergence. Tech. Rep. VC-44-M392.
Haotian Zhang, Qiang Li, Cunhui Dong, Li Li, Dong Liu. 2022. Draft of algorithm description for iWave and test model 1.0. Tech. Rep. VC-39-M353.
Haotian Zhang, Dong Liu. 2022. An Image-to-prior Structure for Learned Image Compression. Tech. Rep. VC-38-M345.
Haichuan Ma, Haotian Zhang, Li Li, Dong Liu. 2021. Suggestions on the standardization scope of neural network-based image coding standard. Tech. Rep. VC-36-M312.
Haotian Zhang, Jianping Lin, Li Li, Dong Liu. 2021. Rate control for NIC-0.4 through R-λ model. Tech. Rep. VC-36-M314.

🏅 Challenge Awards

2024.10 MMSP 2024 Grand Challenge Image compression (track 1) winner & Image compression (track 2) winner & Video compression (track 1) winner.
2023.12 Haotian Zhang, Feihong Mei, Junqi Liao. VCIP 2023 Grand Challenge Award (Image compression track) First prize winner.
2022.12 Haotian Zhang, Junqi Liao, Shanshan Li, Yiheng Jiang, Zhaoyang Jia. VCIP 2022 Grand Challenge Award (Image compression performance track) Second prize winner.
2022.07 Xihua Sheng, Haotian Zhang, Runyu Yang, Changsheng Gao, Kang Liu. 3rd National Artificial Intelligence Challenge (Feature compression track) Top-10 team.

🏅 Honors

Outstanding Graduate of Anhui province, 2021.
Outstanding Graduate of University of Science and Technology of China, 2021.

Haotian Zhang