Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints. - Zhengqing Gao; Huimin Wu; Martin Takác 001; Bin Gu 001 (CIKM, 2022)

Local Causal Discovery with Linear non-Gaussian Cyclic Models. - Haoyue Dai; Ignavier Ng; Yujia Zheng 001; Zhengqing Gao; Kun Zhang 001 (AISTATS, 2024)

Unified Entropy Optimization for Open-Set Test-Time Adaptation. - Zhengqing Gao; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2024)

Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning. - Zhengqing Gao; Xiang Ao 002; Xu-Yao Zhang; Cheng-Lin Liu 001 (PRCV (5), 2024)

ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes. - Zhengqing Gao; Dongting Hu; Jia-Wang Bian; Huan Fu; Yan Li 099; Tongliang Liu; Mingming Gong; Kun Zhang 001 (CoRR, 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, 2025)