Howdy! I’m a Ph.D. student at Texas A&M University, specializing in algorithm design for Intelligent Transportation Systems (ITS), with a particular focus on real-world challenges in image and video restoration.
My research centers on recovering high-quality content from degraded visual data. I utilize cutting-edge techniques, including Generative Adversarial Networks (GANs), Transformers, and State Space Models (SSMs), to advance the frontiers of image restoration.
Beyond 2D vision, I have hands-on experience with video diffusion models such as Wan2.1, working with large-scale multi-modal datasets. My work emphasizes scalable and efficient training and deployment of video restoration models on GPU clusters.
Looking ahead, I’m committed to building more holistic and interpretable solutions for both image and video understanding, bridging the gap between low-level restoration and high-level perception.
🔥 News
- 2025.04: 🎉🎉 XYScanNet has been accepted by NTIRE CVPR 2025. See you in Nashville.
- 2024.02: 🎉🎉 Mamba4rec has been selected as the Best Paper Award for KDD’24 Resource-efficient Learning for Knowledge Discovery Workshop (RelKD’24).
📝 Publications
XYScanNet: A State Space Model for Single Image Deblurring Hanzhou Liu, Chengkai Liu, Jiacong Xu, Peng Jiang, Mi Lu, NTIRE CVPR 2025
- XYScanNet, maintains competitive distortion metrics and significantly improves perceptual performance. Experimental results show that XYScanNet enhances KID by 17% compared to the nearest competitor.
-
Mamba4rec: Towards efficient sequential recommendation with selective state space models, Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee, RelKD KDD 2024 Best Paper Award
-
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation, Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee, CIKM 2024
-
Real-world image deblurring via unsupervised domain adaptation, Hanzhou Liu, Binghan Li, Mi Lu, Yucheng Wu, ISVC 2023
📖 Educations
- 2021.08 - now, Texas A&M University, PhD in Computer Engineering.
- 2019.08 - 2021.06, Texas A&M University, MS in Computer Engineering.
- 2014.08 - 2018.06, Jilin University, BS in Electrical Engineering.
💬 Invited Talks
- 2024.07, Mamba4Rec, invited talk at Uber.
🧾 Community Services
- 2025, Reviewer, New Trends in Image Restoration and Enhancement workshopin conjunction with CVPR 2025 (NTIRE).
- 2024, Reviewer, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
- 2024, Reviewer, The Conference on Information and Knowledge Management (CIKM).