Howdy! I am a 5th-year Ph.D. student in Computer Engineering at Texas A&M University. My research began with image and video restoration, where I explored efficient recovery using sequence models such as Transformers and Mamba.
Recently, my focus has taken a foray into 3D/4D scene reconstruction, especially the single-forward methods such as VGGT. One of my recent work, Stylos, has been accepted by ICLR 2026 with top 1.3% pre-rebuttal scores.
I am actively seeking research internship opportunities for Summer 2026 and Fall 2026. If you are aware of relevant openings or potential referrals, please feel free to contact me at heyhanzhou@gmail.com.
π₯ News
- 2026.01: Β ππ Our paper Stylos is now accepted by ICLR 2026.
- 2025.08: Β ππ I have joined the Urban Resilience Lab as a research assitant with cooperation with Resilitix AI.
- 2025.04: Β ππ XYScanNet has been accepted by NTIRE CVPR 2025. See you in Nashville.
- 2024.02: Β ππ Mamba4rec has been selected as the Best Paper Award for KDDβ24 Resource-efficient Learning for Knowledge Discovery Workshop (RelKDβ24).
π Publications
Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting
Hanzhou Liu*, Jia Huang, Mi Lu, Srikanth Saripalli, Peng Jiang* β , ICLR 2026
- Stylos couples VGGT with Gaussian Splatting for cross-view style transfer, introducing a voxel-based style loss to ensure multi-view consistency.
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.
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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
π 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.
π¬ Invited Talks
- 2024.07, Mamba4Rec, invited talk at Uber.
π§Ύ 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).