Zhengqing Gao

According to our database, Zhengqing Gao authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

FLUIDSPLAT: Reconstructing Physical Fields from Sparse Sensors via Gaussian Primitives.

Huaxi Huang, Meng Li, Zhengqing Gao, Xi Zhou, Xiaoshui Huang, Xiao Sun

CoRR, May, 2026

HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks.

Jingyu Guo, Ziye Chen, Ziwen Li, Zhengqing Gao, Jiaxin Huang, Hanlue Zhang, Fengming Huang, Yu Yao, Tongliang Liu, Mingming Gong

CoRR, March, 2026

KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition.

Gaoge Han, Zhengqing Gao, Ziwen Li, Jiaxin Huang, Shaoli Huang, Fakhri Karray, Mingming Gong, Tongliang Liu

CoRR, March, 2026

Mirage2Matter: A Physically Grounded Gaussian World Model from Video.

Zhengqing Gao, Ziwen Li, Xin Wang, Jiaxin Huang, Zhenyang Ren, Mingkai Shao, Hanlue Zhang, Tianyu Huang, Yongkang Cheng, Yandong Guo, Runqi Lin, Yuanyuan Wang, Tongliang Liu, Kun Zhang, Mingming Gong

CoRR, February, 2026

2025

MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation.

Jiaxin Huang, Runnan Chen, Ziwen Li, Zhengqing Gao, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu

CoRR, March, 2025

ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes.

Zhengqing Gao, Dongting Hu, Jia-Wang Bian, Huan Fu, Yan Li, Tongliang Liu, Mingming Gong, Kun Zhang

CoRR, March, 2025

Surprise3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes.

Jiaxin Huang, Ziwen Li, Hanlue Zhang, Runnan Chen, Zhengqing Gao, Xiao He, Yandong Guo, Wenping Wang, Tongliang Liu, Mingming Gong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning.

Zhengqing Gao, Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Unified Entropy Optimization for Open-Set Test-Time Adaptation.

Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Local Causal Discovery with Linear non-Gaussian Cyclic Models.

Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints.

Zhengqing Gao, Huimin Wu, Martin Takác, Bin Gu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022