Gu, Qinying

9 publications

ICLR 2026 Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery Xinzhe Yuan, Zhuo Chen, Jianshu Zhang, Huan Xiong, Nanyang Ye, Yuqiang Li, Qinying Gu

NeurIPS 2025 $\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves Both OOD Detection and OOD Generalization Lin Zhu, Yifeng Yang, Xinbing Wang, Qinying Gu, Nanyang Ye

CVPR 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making Wei Huang, Qinying Gu, Nanyang Ye

ICML 2025 Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning Xue Zhao, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye

NeurIPS 2025 Less Is More: An Attention-Free Sequence Prediction Modeling for Offline Embodied Learning Wei Huang, Jianshu Zhang, Leiyu Wang, Heyue Li, Luoyi Fan, Yichen Zhu, Nanyang Ye, Qinying Gu

ICLR 2025 Less Is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye

CVPR 2025 OODD: Test-Time Out-of-Distribution Detection with Dynamic Dictionary Yifeng Yang, Lin Zhu, Zewen Sun, Hengyu Liu, Qinying Gu, Nanyang Ye

ICML 2024 CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu, Yifeng Yang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye

AAAI 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye