Xiao-ming Wu

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs ACL 2026 Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025 Dynamic Spectral Graph Anomaly Detection AAAI 2025 Panorama Generation From NFoV Image Done Right CVPR 2025 Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025 Beyond Random Masking: When Dropout meets Graph Convolutional Networks ICLR 2025 Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence ICML 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-context Learning ICLR 2025 AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance ICCV 2025 Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework ICCV 2025 iManip: Skill-Incremental Learning for Robotic Manipulation ICCV 2025 AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025 GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis ICCV 2025 GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025 SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency AAAI 2024 Grasp as You Say: Language-guided Dexterous Grasp Generation NIPS 2024 Enhancing Graph Transformers with Hierarchical Distance Structural Encoding NIPS 2024 Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification NIPS 2024 Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection CORL 2024 Correlation Matching Transformation Transformers for UHD Image Restoration AAAI 2024 TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024 EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs ACL 2024 Continual Dialogue State Tracking via Reason-of-Select Distillation ACL 2024 How Good Are LLMs at Out-of-Distribution Detection? COLING 2024 LANID: LLM-assisted New Intent Discovery COLING 2024 VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024 Dexterous Grasp Transformer CVPR 2024 Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model CVPR 2024 Single-View Scene Point Cloud Human Grasp Generation CVPR 2024 An Economic Framework for 6-DoF Grasp Detection ECCV 2024 UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation EMNLP 2024 Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding EMNLP 2024 SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution ICLR 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring ICML 2024 Towards LLM-driven Dialogue State Tracking EMNLP 2023 Continual Graph Convolutional Network for Text Classification AAAI 2023 Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training ACL 2023 Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning ICLR 2023 Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping CVPR 2023 Real-World Image Super-Resolution as Multi-Task Learning NIPS 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023 Online-Updated High-Order Collaborative Networks for Single Image Deraining AAAI 2022 Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization NAACL 2022 Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data AAAI 2022 New Intent Discovery with Pre-training and Contrastive Learning ACL 2022 A Closer Look at Few-Shot Out-of-Distribution Intent Detection COLING 2022 Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation COLING 2022 Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021 Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NIPS 2021 Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021 Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021 Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training ACL 2021 Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification ACL 2020 A Closer Look at the Training Strategy for Modern Meta-Learning NIPS 2020 Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020 Label Efficient Semi-Supervised Learning via Graph Filtering CVPR 2019 Reconstructing Capsule Networks for Zero-shot Intent Classification IJCNLP 2019 Attributed Graph Clustering via Adaptive Graph Convolution IJCAI 2019 Reconstructing Capsule Networks for Zero-shot Intent Classification EMNLP 2019 New Insights Into Laplacian Similarity Search CVPR 2015 Locally Linear Hashing for Extracting Non-Linear Manifolds CVPR 2014 Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013 Learning with Partially Absorbing Random Walks NIPS 2012 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008