Changti Wu

According to our database, Changti Wu authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

PhysBrain 1.0 Technical Report.

Shijie Lian, Bin Yu, Xiaopeng Lin, Changti Wu, Hang Yuan, Xiaolin Hu, Zhaolong Shen, Yuzhuo Miao, Haishan Liu, Yuxuan Tian, Yukun Shi, Cong Huang, Kai Chen

CoRR, May, 2026

IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation.

Shijie Lian, Bin Yu, Xiaopeng Lin, Zhaolong Shen, Laurence Tianruo Yang, Yurun Jin, Haishan Liu, Changti Wu, Hang Yuan, Cong Huang, Kai Chen

CoRR, May, 2026

FrameSkip: Learning from Fewer but More Informative Frames in VLA Training.

Bin Yu, Shijie Lian, Xiaopeng Lin, Zhaolong Shen, Yuliang Wei, Changti Wu, Hang Yuan, Haishan Liu, Bailing Wang, Cong Huang, Kai Chen

CoRR, May, 2026

3D-Mix for VLA: A Plug-and-Play Module for Integrating VGGT-based 3D Information into Vision-Language-Action Models.

Bin Yu, Shijie Lian, Xiaopeng Lin, Zhaolong Shen, Yuliang Wei, Haishan Liu, Changti Wu, Hang Yuan, Bailing Wang, Cong Huang, Kai Chen

CoRR, March, 2026

ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning.

Changti Wu, Jiahuai Mao, Yuzhuo Miao, Shijie Lian, Bin Yu, Xiaopeng Lin, Cong Huang, Lei Zhang, Kai Chen

CoRR, February, 2026

LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries.

Shijie Lian, Bin Yu, Xiaopeng Lin, Laurence T. Yang, Zhaolong Shen, Changti Wu, Yuzhuo Miao, Cong Huang, Kai Chen

CoRR, January, 2026

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers.

Bin Yu, Shijie Lian, Xiaopeng Lin, Yuliang Wei, Zhaolong Shen, Changti Wu, Yuzhuo Miao, Xinming Wang, Bailing Wang, Cong Huang, Kai Chen

CoRR, January, 2026

Verifiable Private Federated Learning Achieving Low-Communication With CUR Decomposition.

Changti Wu, Lulu Wang, Lei Zhang

IEEE Trans. Dependable Secur. Comput., 2026

2025

PhysBrain: Human Egocentric Data as a Bridge from Vision Language Models to Physical Intelligence.

Xiaopeng Lin, Shijie Lian, Bin Yu, Ruoqi Yang, Changti Wu, Yuzhuo Miao, Yurun Jin, Yukun Shi, Cong Huang, Bojun Cheng, Kai Chen

CoRR, December, 2025

DynaSolidGeo: A Dynamic Benchmark for Genuine Spatial Mathematical Reasoning of VLMs in Solid Geometry.

Changti Wu, Shijie Lian, Zihao Liu, Lei Zhang, Laurence Tianruo Yang, Kai Chen

CoRR, October, 2025

TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model.

Bin Yu, Xinming Wang, Shijie Lian, Haotian Li, Changti Wu, Ruina Hu, Bailing Wang, Yuliang Wei, Kai Chen

CoRR, October, 2025

Euclid's Gift: Enhancing Spatial Perception and Reasoning in Vision-Language Models via Geometric Surrogate Tasks.

Shijie Lian, Changti Wu, Laurence Tianruo Yang, Hang Yuan, Bin Yu, Lei Zhang, Kai Chen

CoRR, September, 2025

2024

Dual-Server-Based Lightweight Privacy-Preserving Federated Learning.

Liangyu Zhong, Lulu Wang, Lei Zhang, Josep Domingo-Ferrer, Lin Xu, Changti Wu, Rui Zhang

IEEE Trans. Netw. Serv. Manag., August, 2024

Privacy-Preserving Serverless Federated Learning Scheme for Internet of Things.

Changti Wu, Lei Zhang, Lin Xu, Kim-Kwang Raymond Choo, Liangyu Zhong

IEEE Internet Things J., June, 2024

2021

The Visualization of Cross-media Knowledge Graph of Tang and Song Poetry.

Wenjuan Jiang, Chunfang Li, Changti Wu

Proceedings of the 21st ACIS International Winter Conference on Software Engineering, 2021

2020

The Realization of Cross-Media Knowledge Graph of Tang and Song Poetry.

Changti Wu, Chunfang Li, Wenjuan Jiang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020