Luo, Xiao

49 publications

AAAI 2025 Attention Bootstrapping for Multi-Modal Test-Time Adaptation Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang

ICML 2025 DANCE: Dual Unbiased Expansion with Group-Acquired Alignment for Out-of-Distribution Graph Fairness Learning Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo

TMLR 2025 DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo

AAAI 2025 DREAM: Decoupled Discriminative Learning with Bigraph-Aware Alignment for Semi-Supervised 2D-3D Cross-Modal Retrieval Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang, Yijia Xiao, Chong Chen, Xian-Sheng Hua, Xiao Luo

ICLRW 2025 DoMiNO: Down-Scaling Molecular Dynamics with Neural Graph Ordinary Differential Equations Fang Sun, Zijie Huang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun

NeurIPS 2025 Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models Zitong Shi, Guancheng Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang

NeurIPS 2025 Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Junyu Luo, Yusheng Zhao, Xiao Luo, Jiancheng Lv

NeurIPS 2025 Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

ICCV 2025 Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo, Yingyan Celine Lin

NeurIPS 2025 Flow Field Reconstruction with Sensor Placement Policy Learning Ruoyan Li, Guancheng Wan, Zijie Huang, Zixiao Liu, Haixin Wang, Xiao Luo, Wei Wang, Yizhou Sun

NeurIPS 2025 Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning Jiawei Gu, Yidi Wang, Qingqiang Sun, Xinming Li, Xiao Luo, Ziyue Qiao

ICML 2025 GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong

TMLR 2025 Graph Fourier Neural ODEs: Modeling Spatial-Temporal Multi-Scales in Molecular Dynamics Fang Sun, Zijie Huang, Haixin Wang, Huacong Tang, Xiao Luo, Wei Wang, Yizhou Sun

IJCAI 2025 NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration Jiawei Gu, Ziyue Qiao, Xiao Luo

ICML 2025 Rethink GraphODE Generalization Within Coupled Dynamical System Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang

NeurIPS 2025 SEGA: Shaping Semantic Geometry for Robust Hashing Under Noisy Supervision Yiyang Gu, Bohan Wu, Qinghua Ran, Rong-Cheng Tu, Xiao Luo, Zhiping Xiao, Wei Ju, Dacheng Tao, Ming Zhang

NeurIPS 2025 SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-Shot 3D Visual Grounding Zhao Jin, Rong-Cheng Tu, Jingyi Liao, Wenhao Sun, Xiao Luo, Shunyu Liu, Dacheng Tao

ICML 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

ICLRW 2025 SpectralFlowNet: Resolution-Invariant Continuous Neural Dynamics for Mesh-Based PDE Modeling Tianrun Yu, Fang Sun, Haixin Wang, Xiao Luo, Yizhou Sun

AAAI 2025 TRACI: A Data-Centric Approach for Multi-Domain Generalization on Graphs Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

ICML 2025 Test-Time Adaptation on Graphs via Adaptive Subgraph-Based Selection and Regularized Prototypes Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

ICLR 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong

ICLR 2024 DREAM: Dual Structured Exploration with Mixup for Open-Set Graph Domain Adaption Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo

NeurIPS 2024 EGODE: An Event-Attended Graph ODE Framework for Modeling Rigid Dynamics Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang

CVPR 2024 Fine-Grained Prototypical Voting with Heterogeneous Mixup for Semi-Supervised 2D-3D Cross-Modal Retrieval Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo

ICML 2024 Hypergraph-Enhanced Dual Semi-Supervised Graph Classification Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

AAAI 2024 LION: Implicit Vision Prompt Tuning Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

ICML 2024 PGODE: Towards High-Quality System Dynamics Modeling Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

NeurIPS 2024 PURE: Prompt Evolution with Graph ODE for Out-of-Distribution Fluid Dynamics Modeling Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen, Xian-Sheng Hua, Xiao Luo

NeurIPS 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

ICML 2024 Prometheus: Out-of-Distribution Fluid Dynamics Modeling with Disentangled Graph ODE Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo

IJCAI 2024 Rank and Align: Towards Effective Source-Free Graph Domain Adaptation Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang

NeurIPS 2024 Semi-Supervised Knowledge Transfer Across Multi-Omic Single-Cell Data Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao

NeurIPS 2023 CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun

ICML 2023 COCO: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo

AAAI 2023 GLCC: A General Framework for Graph-Level Clustering Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang

ICML 2023 HOPE: High-Order Graph ODE for Modeling Interacting Dynamics Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

NeurIPS 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

NeurIPS 2023 Parameter-Efficient Tuning of Large-Scale Multimodal Foundation Model Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian

ICCV 2023 Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

TMLR 2023 RIGNN: A Rationale Perspective for Semi-Supervised Open-World Graph Classification Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

IJCAI 2023 Semi-Supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong

NeurIPSW 2023 TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang

TMLR 2023 Zero-Shot Node Classification with Graph Contrastive Embedding Network Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang

NeurIPS 2022 Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu

IJCAI 2022 Improved Deep Unsupervised Hashing with Fine-Grained Semantic Similarity Mining for Multi-Label Image Retrieval Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu

ECCV 2022 InAction: Interpretable Action Decision Making for Autonomous Driving Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, Zhengming Ding

IJCAI 2022 TGNN: A Joint Semi-Supervised Framework for Graph-Level Classification Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

IJCAI 2021 CIMON: Towards High-Quality Hash Codes Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua