Zhening Liu

Zhening Liu

Hi. I am a Ph.D student at Department of Electronic and Computer Engineering in Hong Kong University of Science and Technology, supervised by Prof. Jun Zhang. Before this, I obtained my B.S. from Harbin Institute of Technology, Shenzhen, supervised by Prof. Yufei Jiang.

Email / Scholar / Github

My research is focused on generative models and 3D vision:

Generative Models: video generation, world models, multimodal;
3D Vision: 3D/4D reconstruction and representation, Gaussian Splatting.

	Spatia: Video Generation with Updatable Spatial Memory Jinjing Zhao, Fangyun Wei, Zhening Liu, Chang Xu, Hongyang Zhang, Yan Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 Paper \| Project Page \| Code
	RemedyGS: Defend 3D Gaussian Splatting against Computation Cost Attacks Yanping Li, Zhening Liu*, Zijian Li, Zehong Lin, Jun Zhang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)*, 2026 Paper \| Code
	Feed-Forward 3D Gaussian Splatting Compression with Long-Context Modeling Zhening Liu, Rui Song, Yushi Huang, Yingdong Hu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang arXiv, 2025 Paper
	Dynamics-Aware Gaussian Splatting Streaming Towards Fast On-the-Fly 4D Reconstruction Zhening Liu, Yingdong Hu, Xinjie Zhang, Rui Song, Jiawei Shao, Zehong Lin, Jun Zhang arXiv, 2025 Paper \| Project Page \| Video
	Flash-VAED: Plug-and-Play VAE Decoders for Efficient Video Generation Lunjie Zhu, Yushi Huang, Xingtong Ge, Yufei Xue, Zhening Liu, Zehong Lin, Jun Zhang International Conference on Computer Vision (ICCV), 2025 (Highlight) Paper \| Code
	Token-level Data Selection for Safe LLM Fine-tuning Yanping Li, Zhening Liu*, Zijian Li, Zehong Lin, Jun Zhang International Conference on Learning Representations (ICLR)*, 2026 Paper \| Code
	Low-Latency Neural LiDAR Compression with 2D Context Models Rui Song, Yan Wang, Tongda Xu, Zhening Liu, Zehong Lin, Jun Zhang International Conference on Learning Representations (ICLR), 2026 Paper \| Code
	MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes Xinjie Zhang, Zhening Liu, Yifan Zhang, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Zehong Lin, Shuicheng Yan, Jun Zhang International Conference on Computer Vision (ICCV), 2025 (Highlight) Paper \| Project Page
	Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model Zhening Liu, Xinjie Zhang, Jiawei Shao, Zehong Lin, Jun Zhang European Conference on Computer Vision (ECCV), 2024 Paper \| Code \| Video
	Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference Cheng Yuan, Zhening Liu, Jiashu Lv, Jiawei Shao, Yufei Jiang, Jun Zhang, Xuelong Li IEEE Transactions on Mobile Computing, 2025 Paper \| Code
	CAMSIC: Content-Aware Masked Image Modeling Transformer for Stereo Image Compression Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang Association for the Advancement of Artificial Intelligence (AAAI), 2025 Paper \| Code
	EVA-Gaussian: 3D Gaussian-based Real-time Human Novel View Synthesis under Diverse Camera Settings Yingdong Hu, Zhening Liu, Jiawei Shao, Zehong Lin, Jun Zhang International Conference on Computer Vision Workshop (ICCVW), 2025 Paper \| Project Page \| Code
	Low-complexity Precoding-aided CFO Estimation for ICA-based MIMO OFDM Systems in URLLC Zhening Liu, Yufei Jiang, Xu Zhu, Sumei Sun IEEE Transactions on Communications (TCOM), 2024 Paper

Activity

2025-Aug I was distinguished as the Best Teaching Assistant in ECE Department.
2025-Aug I was awarded the HKUST Academic Excellence Award.
2024-Sep I was honored to be a speaker at the ECE Future Leader Departmental Seminar.
2024-Sep I presented a poster at the IEEE Hong Kong 6G Wireless Submit.
2024-Jul I gave a talk at the CCF Greater Bay Area Postgraduate Academic Forums, in Guangdong University of Technology, Guangzhou.
I have served as a reviewer for CVPR/ICCV/ECCV/NIPS/ICLR/AAAI conferences and TIP/TVCG/TMC/TCOM journals.