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Publications

Full list of publications. For a curated selection of first-author works, see the homepage. Also available on Google Scholar.

IGen
CVPR, 2026

IGen: Scalable Data Generation for Robot Learning from Open-World Images

Chenghao Gu, Haolan Kang, Junchao Lin, Jinghe Wang, Duo Wu, Shuzhao Xie, Fanding Huang, Junchen Ge, Ziyang Gong, Letian Li, Hongying Zheng, Changwei Lv, Zhi Wang

Splatwizard
CVPR Findings, 2026

Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression

Xiang Liu, Yimin Zhou, Jinxiang Wang, Yujun Huang, Shuzhao Xie, Shiyu Qin, Mingyao Hong, Jiawei Li, Yaowei Wang, Zhi Wang, Shu-Tao Xia, Bin Chen

Music-Aligned Holistic 3D Dance Generation
ICCV, 2025

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

TextIR
TVCG, 2025

TextIR: A Simple Framework for Text-based Editable Image Restoration

Yunpeng Bai, Cairong Wang, Shuzhao Xie, Chao Dong, Chun Yuan, Zhi Wang

An effective framework that allows the user to control the restoration process of degraded images with text descriptions, using the text-image feature compatibility of CLIP. Supports image inpainting, super-resolution, and colorization.

Lungmix
ICASSP, 2025

Lungmix: A Mixup-Based Strategy for Generalization in Respiratory Sound Classification

Shijia Ge, Weixiang Zhang, Shuzhao Xie, Baixu Yan, Zhi Wang

PulmoScan
ICASSP, 2025

PulmoScan: A Practical Pulmonary Disease Pre-Screening System

Baixu Yan, Shijia Ge, Meizi Lu, Weixiang Zhang, Shuzhao Xie, Zhi Wang

SkyML
TMM, 2024

SkyML: A MLaaS Federation Design for Multicloud-based Multimedia Analytics

Shuzhao Xie, Yuan Xue, Yifei Zhu, Zhi Wang

Euro-Par 2024
Euro-Par, 2024

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

Armol
INFOCOM, 2022

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

Shuzhao Xie, Yuan Xue, Yifei Zhu, Zhi Wang

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.

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