Luo, Yadan

24 publications

NeurIPS 2025 CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving Huitong Yang, Zhuoxiao Chen, Fengyi Zhang, Zi Huang, Yadan Luo

CVPR 2025 Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving Ziying Song, Caiyan Jia, Lin Liu, Hongyu Pan, Yongchang Zhang, Junming Wang, Xingyu Zhang, Shaoqing Xu, Lei Yang, Yadan Luo

ICCV 2025 Is Less More? Exploring Token Condensation as Training-Free Test-Time Adaptation Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo

NeurIPS 2025 Latent Refinement via Flow Matching for Training-Free Linear Inverse Problem Solving Hossein Askari, Yadan Luo, Hongfu Sun, Fred Roosta

ICLR 2025 MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo

ICLR 2025 PolaFormer: Polarity-Aware Linear Attention for Vision Transformers Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, Zheng Zhang

NeurIPS 2025 Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents Zhizhen Zhang, Lei Zhu, Zhen Fang, Zi Huang, Yadan Luo

NeurIPS 2024 Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang

ICLR 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang

NeurIPS 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo

NeurIPS 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels Haoyang Luo, Zheng Zhang, Yadan Luo

ECCV 2024 Find N' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments Djamahl Etchegaray, Zi Helen Huang, Tatsuya Harada, Yadan Luo

ICLR 2023 Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo, Zhuoxiao Chen, Zijian Wang, Xin Yu, Zi Huang, Mahsa Baktashmotlagh

WACV 2023 FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification Zijian Wang, Yadan Luo, Zi Huang, Mahsa Baktashmotlagh

ICCV 2023 How Far Pre-Trained Models Are from Neural Collapse on the Target Dataset Informs Their Transferability Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh

ICCV 2023 KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang

ICCV 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-Balanced Pseudo-Labeling Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang

IJCAI 2021 Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang

ICCV 2021 Learning to Diversify for Single Domain Generalization Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh

ICCV 2021 Semantics Disentangling for Generalized Zero-Shot Learning Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

WACV 2020 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang

IJCAI 2020 Human Consensus-Oriented Image Captioning Ziwei Wang, Zi Huang, Yadan Luo

AAAI 2020 Learning from the past: Continual Meta-Learning with Bayesian Graph Neural Networks Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang

ICML 2020 Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh