Wu, Xiao-Ming

47 publications

ICCV 2025 AffordDexGrasp: Open-Set Language-Guided Dexterous Grasp with Generalizable-Instructive Affordance Yi-Lin Wei, Mu Lin, Yuhao Lin, Jian-Jian Jiang, Xiao-Ming Wu, Ling-An Zeng, Wei-Shi Zheng

ICLR 2025 Beyond Random Masking: When Dropout Meets Graph Convolutional Networks Yuankai Luo, Xiao-Ming Wu, Hao Zhu

ICML 2025 Can Classic GNNs Be Strong Baselines for Graph-Level Tasks? Simple Architectures Meet Excellence Yuankai Luo, Lei Shi, Xiao-Ming Wu

NeurIPS 2025 Can LLMs Outshine Conventional Recommenders? a Comparative Evaluation Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu

AAAI 2025 Dynamic Spectral Graph Anomaly Detection Jianbo Zheng, Chao Yang, Tairui Zhang, Longbing Cao, Bin Jiang, Xuhui Fan, Xiao-Ming Wu, Xianxun Zhu

ICCV 2025 GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-Ray Diagnosis Bo Liu, Ke Zou, Li-Ming Zhan, Zexin Lu, Xiaoyu Dong, Yidi Chen, Chengqiang Xie, Jiannong Cao, Xiao-Ming Wu, Huazhu Fu

ICLR 2025 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning Yuankai Luo, Hongkang Li, Qijiong Liu, Lei Shi, Xiao-Ming Wu

CVPR 2025 Panorama Generation from NFoV Image Done Right Dian Zheng, Cheng Zhang, Xiao-Ming Wu, Cao Li, Chengfei Lv, Jian-Fang Hu, Wei-Shi Zheng

ICCV 2025 Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework Jian-Jian Jiang, Xiao-Ming Wu, Yi-Xiang He, Ling-An Zeng, Yi-Lin Wei, Dandan Zhang, Wei-Shi Zheng

ICLR 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-Context Learning Xiangyu Zhao, Zhiwang Zhou, Zhangwenlong, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, Lei Bai

ICCV 2025 iManip: Skill-Incremental Learning for Robotic Manipulation Zexin Zheng, Jia-Feng Cai, Xiao-Ming Wu, Yi-Lin Wei, Yu-Ming Tang, Ancong Wu, Wei-Shi Zheng

ECCV 2024 An Economic Framework for 6-DoF Grasp Detection Xiao-Ming Wu, Jia-Feng Cai, Jian-Jian Jiang, Dian Zheng, Yi-Lin Wei, Wei-Shi Zheng

NeurIPS 2024 Classic GNNs Are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo, Lei Shi, Xiao-Ming Wu

AAAI 2024 Correlation Matching Transformation Transformers for UHD Image Restoration Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu

CVPR 2024 Dexterous Grasp Transformer Guo-Hao Xu, Yi-Lin Wei, Dian Zheng, Xiao-Ming Wu, Wei-Shi Zheng

ICML 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu

NeurIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu

NeurIPS 2024 Grasp as You Say: Language-Guided Dexterous Grasp Generation Yi-Lin Wei, Jian-Jian Jiang, Chengyi Xing, Xian-Tuo Tan, Xiao-Ming Wu, Hao Li, Mark Cutkosky, Wei-Shi Zheng

TMLR 2024 HiFE: Hierarchical Feature Ensemble Framework for Few-Shot Hypotheses Adaptation Yongfeng Zhong, Haoang Chi, Feng Liu, Xiao-Ming Wu, Bo Han

CoRL 2024 Real-to-Sim Grasp: Rethinking the Gap Between Simulation and Real World in Grasp Detection Jia-Feng Cai, Zibo Chen, Xiao-Ming Wu, Jian-Jian Jiang, Yi-Lin Wei, Wei-Shi Zheng

ICLR 2024 SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao, Xiao-Ming Wu, Chao Dong

CVPR 2024 Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model Dian Zheng, Xiao-Ming Wu, Shuzhou Yang, Jian Zhang, Jian-Fang Hu, Wei-Shi Zheng

AAAI 2024 SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu

CVPR 2024 Single-View Scene Point Cloud Human Grasp Generation Yan-Kang Wang, Chengyi Xing, Yi-Lin Wei, Xiao-Ming Wu, Wei-Shi Zheng

AAAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

AAAI 2023 Continual Graph Convolutional Network for Text Classification Tiandeng Wu, Qijiong Liu, Yi Cao, Yao Huang, Xiao-Ming Wu, Jiandong Ding

ICCV 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training Xiao-Ming Wu, Dian Zheng, Zuhao Liu, Wei-Shi Zheng

CVPR 2023 Generating Anomalies for Video Anomaly Detection with Prompt-Based Feature Mapping Zuhao Liu, Xiao-Ming Wu, Dian Zheng, Kun-Yu Lin, Wei-Shi Zheng

CHIL 2023 Multi-Modal Pre-Training for Medical Vision-Language Understanding and Generation: An Empirical Study with a New Benchmark Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu

NeurIPS 2023 Real-World Image Super-Resolution as Multi-Task Learning Wenlong Zhang, Xiaohui Li, Guangyuan Shi, Xiangyu Chen, Yu Qiao, Xiaoyun Zhang, Xiao-Ming Wu, Chao Dong

ICLR 2023 Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu

CVPRW 2022 A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds Wenlong Zhang, Guangyuan Shi, Yihao Liu, Chao Dong, Xiao-Ming Wu

AAAI 2022 Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu

AAAI 2022 Online-Updated High-Order Collaborative Networks for Single Image Deraining Cong Wang, Jinshan Pan, Xiao-Ming Wu

ICMLW 2021 Adaptation-Agnostic Meta-Training Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-lai Chung

NeurIPS 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu

NeurIPS 2020 A Closer Look at the Training Strategy for Modern Meta-Learning Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-lai Chung

AAAI 2020 Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung

IJCAI 2019 Attributed Graph Clustering via Adaptive Graph Convolution Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu

AAAI 2018 Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li, Zhichao Han, Xiao-Ming Wu

CVPR 2015 New Insights into Laplacian Similarity Search Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang

CVPR 2014 Locally Linear Hashing for Extracting Non-Linear Manifolds Go Irie, Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang

NeurIPS 2013 Analyzing the Harmonic Structure in Graph-Based Learning Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang

NeurIPS 2012 Learning with Partially Absorbing Random Walks Xiao-ming Wu, Zhenguo Li, Anthony M. So, John Wright, Shih-fu Chang

CVPR 2012 Segmentation Using Superpixels: A Bipartite Graph Partitioning Approach Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang

NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming Xiao-ming Wu, Anthony M. So, Zhenguo Li, Shuo-yen R. Li

NeurIPS 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm Andrew Smith, Hongyuan Zha, Xiao-ming Wu