Changshuo Wang

According to our database, Changshuo Wang authored at least 34 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization.

Yitong Yang, Xuexin Liu, Yinglin Wang, Jing Wang, Hao Dou, Changshuo Wang, Shuting He

CoRR, January, 2026

Efficient large-scale road surface reconstruction via curvature-based frame selection.

Hongjia Xing, Feng Yang, Changshuo Wang, Zaiyang Yu, Tingran Wang, Yuanjin Fang, Liping Zhang, Xin Ning

Eng. Appl. Artif. Intell., 2026

FantasyStyle: Controllable Stylized Distillation for 3D Gaussian Splatting.

Yitong Yang, Yinglin Wang, Changshuo Wang, Huajie Wang, Shuting He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning.

Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation.

Changshuo Wang, Zhijian Hu, Xiang Fang, Zaiyang Yu, Yibin Wu, Mingkun Xu, Yusong Wang, Xingyu Gao, Prayag Tiwari

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression.

Fangzhe Nan, Frederick W. B. Li, Gary K. L. Tam, Zhaoyi Jiang, Bailin Yang, Jingke Cui, Changshuo Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs.

Xiang Fang, Wanlong Fang, Changshuo Wang, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Rethinking Video-Language Model from the Language Input Perspective.

Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization.

Xiang Fang, Wanlong Fang, Changshuo Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SplitFlux: Learning to Decouple Content and Style from a Single Image.

Yitong Yang, Yinglin Wang, Changshuo Wang, Yongjun Zhang, Ziyang Chen, Shuting He

CoRR, November, 2025

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation.

Shuting He, Peilin Ji, Yitong Yang, Changshuo Wang, Jiayi Ji, Yinglin Wang, Henghui Ding

CoRR, August, 2025

EDS-Depth: Enhancing Self-Supervised Monocular Depth Estimation in Dynamic Scenes.

Shangshu Yu, Meiqing Wu, Siew-Kei Lam, Changshuo Wang, Ruiping Wang

IEEE Trans. Intell. Transp. Syst., April, 2025

Looking Clearer With Text: A Hierarchical Context Blending Network for Occluded Person Re-Identification.

Changshuo Wang, Xingyu Gao, Meiqing Wu, Siew-Kei Lam, Shuting He, Prayag Tiwari

IEEE Trans. Inf. Forensics Secur., 2025

Comprehensive disentanglement with fine-grained feature mitigation for domain generalization.

Youjia Shao, Changshuo Wang, Qihang Jia, Wencang Zhao

Neural Networks, 2025

Learning discriminative topological structure information representation for 2D shape and social network classification via persistent homology.

Changshuo Wang, Rongsheng Cao, Ruiping Wang

Knowl. Based Syst., 2025

Dual adversity training for domain generalization.

Youjia Shao, Longfei Chen, Changshuo Wang, Wenna Liu, Wencang Zhao

Knowl. Based Syst., 2025

Seeing the Overlooked: Bio-Visual Inspired Weak Saliency Feedback Transformer for Person Re-identification.

Changshuo Wang, Shuting He, Xiang Fang, Fangzhe Nan, Prayag Tiwari

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

ReferSplat: Referring Segmentation in 3D Gaussian Splatting.

Shuting He, Guangquan Jie, Changshuo Wang, Yun Zhou, Shuming Hu, Guanbin Li, Henghui Ding

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation.

Changshuo Wang, Xiang Fang, Prayag Tiwari

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection.

Zhonghang Liu, Kun Zhou, Changshuo Wang, Wen-Yan Lin, Jiangbo Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding.

Changshuo Wang, Shuting He, Xiang Fang, Jiawei Han, Zhonghang Liu, Xin Ning, Weijun Li, Prayag Tiwari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation.

Changshuo Wang, Shuting He, Xiang Fang, Meiqing Wu, Siew-Kei Lam, Prayag Tiwari

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network.

Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

3D Person Re-Identification Based on Global Semantic Guidance and Local Feature Aggregation.

Changshuo Wang, Xin Ning, Weijun Li, Xiao Bai, Xingyu Gao

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification.

Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning

Neural Networks, January, 2024

PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation.

Huang Zhang, Changshuo Wang, Long Yu, Shengwei Tian, Xin Ning, Joel J. P. C. Rodrigues

IEEE Trans. Multim., 2024

Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning.

Zaiyang Yu, Lusi Li, Jinlong Xie, Changshuo Wang, Weijun Li, Xin Ning

IEEE Trans. Circuits Syst. Video Technol., 2024

Deformation depth decoupling network for point cloud domain adaptation.

Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li

Neural Networks, 2024

Occluded person re-identification with deep learning: A survey and perspectives.

Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari

Expert Syst. Appl., 2024

GPSFormer: A Global Perception and Local Structure Fitting-Based Transformer for Point Cloud Understanding.

Changshuo Wang, Meiqing Wu, Siew-Kei Lam, Xin Ning, Shangshu Yu, Ruiping Wang, Weijun Li, Thambipillai Srikanthan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep learning-based 3D point cloud classification: A systematic survey and outlook.

Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai

Displays, September, 2023

Pedestrian Re-ID based on feature consistency and contrast enhancement.

Enhao Ning, Canlong Zhang, Changshuo Wang, Xin Ning, Hao Chen, Xiao Bai

Displays, September, 2023

2022

Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis.

Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang, Weijun Li, Xiao Bai

IEEE Trans. Geosci. Remote. Sens., 2022

2021

A brief survey on RGB-D semantic segmentation using deep learning.

Changshuo Wang, Chen Wang, Weijun Li, Haining Wang

Displays, 2021