Shuzhao Xie

I am a PhD student at Tsinghua SIGS, working with Prof. Zhi Wang on 3D Vision and Embodied AI. I received my Master's degree in Computer Technology from Tsinghua University in 2023 and my Bachelor's degree in Computer Science and Technology from Beijing Normal University in 2020.

Email / CV [2025.07] / Google Scholar / Github / Twitter / Calendar

Research Interests

My research focuses on computer graphics and computer vision, particularly on 3D reconstruction and simulation techniques that facilitate effective robot learning.

Publications

	Understanding Bias Terms in Neural Representation Weixiang Zhang, Boxi Li, Shuzhao Xie, Chengwei Ren, Yuan Xue, Zhi Wang NeurIPS, 2025 paper / code
	SizeGS: Size-aware Compression of 3D Gaussian Splatting via Mixed Integer Programming Shuzhao Xie, Jiahang Liu, Weixiang Zhang, Shijia Ge, Sicheng Pan, Chen Tang, Yunpeng Bai, Cong Zhang, Xiaoyi Fan, Zhi Wang Equal contribution ACM Multimedia, 2025 Best Paper Candidate (Top 0.5%)* paper / project page / code
	Music-Aligned Holistic 3D Dance Generation via Hierarchical Motion Modeling Xiaojie Li, Ronghui Li, Shukai Fang, Shuzhao Xie, Xiaoyang Guo, Jiaqing Zhou, Junkun Peng, Zhi Wang International Conference on Computer Vision (ICCV), 2025 paper
	Expansive Supervision for Neural Radiance Field Weixiang Zhang, Wei Yao, Shuzhao Xie, Shijia Ge, Chen Tang, Zhi Wang IEEE International Conference on Multimedia & Expo (ICME), 2025 paper / code
	EVOS: Efficient Implicit Neural Training via EVOlutionary Selector Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Shiyi Xie, Chen Tang, Shijia Ge, Mingzi Wang, Zhi Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 paper / project page / code
	TextIR: A Simple Framework for Text-based Editable Image Restoration Yunpeng Bai, Cairong Wang, Shuzhao Xie, Chao Dong, Chun Yuan, Zhi Wang IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025 paper In this work, we design an effective framework that allows the user to control the restoration process of degraded images with text descriptions. We use the text-image feature compatibility of the CLIP to alleviate the difficulty of fusing text and image features. Our framework can be used for various image restoration tasks, including image inpainting, image super-resolution, and image colorization.
	Lungmix: A Mixup-Based Strategy for Generalization in Respiratory Sound Classification Shijia Ge, Weixiang Zhang, Shuzhao Xie, Baixu Yan, Zhi Wang IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 paper
	PulmoScan: A Practical Pulmonary Disease Pre-Screening System Baixu Yan, Shijia Ge, Meizi Lu, Weixiang Zhang, Shuzhao Xie, Zhi Wang IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 paper
	Enhancing Implicit Neural Representations via Symmetric Power Transformation Weixiang Zhang, Shuzhao Xie, Chengwei Ren, Shijia Ge, Mingzi Wang, Zhi Wang The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025 paper / project page / code
	MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang European Conference on Computer Vision (ECCV), 2024 paper / project page / code
	SkyML: A MLaaS Federation Design for Multicloud-based Multimedia Analytics Shuzhao Xie, Yuan Xue, Yifei Zhu, Zhi Wang IEEE Transactions on Multimedia (TMM) , 2024 paper / code
	Tuning-Free Visual Customization via View Iterative Self-Attention Control Xiaojie Li, Chenghao Gu, Shuzhao Xie, Yunpeng Bai, Weixiang Zhang, Zhi Wang arXiv, 2024 paper
	RFQuant: Retraining-free Model Quantization via One-Shot Weight-Coupling Learning Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 paper / supp / poster / code
	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang, Wenwu Zhu International European Conference on Parallel and Distributed Computing (Euro-Par), 2024 paper
	Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach Shuzhao Xie, Yuan Xue, Yifei Zhu, Zhi Wang INFOCOM, 2022 paper / project page / code As naively using multiple ML APIs can lead to lower analytical accuracy and poor user experience, we employ reinforcement learning to select the optimal combination of MLaaSes, thus maximizing accuracy while minimizing cost.