← Authors

Xiao-ming Wu

66 papers · 2008–2025 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (27) πŸ”¬ Deep Specialist (13) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam 🀝 Dynamic Duo (13) ❓ The Questioner (2) πŸ“ˆ Trend Setter ⚑ Prolific Year (20) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (55) πŸ’Ž Century Club (64)

Conferences

NIPS (10) ACL (9) AAAI (8) CVPR (8) EMNLP (7) COLING (5) ICCV (5) ICLR (5) IJCNLP (3) ICML (2) CORL (1) ECCV (1) IJCAI (1) NAACL (1)

Top co-authors

Li-Ming Zhan (15) Wei-Shi Zheng (12) Bo Liu (11) Albert Y.S. Lam (10) Lu Fan (9) Yujie Feng (8) Zexin Lu (8) Guangyuan SHI (8) Yi-Lin Wei (8) Haowen Liang (7)

Keywords

few-shot learning (9) continual learning (7) dialogue system (7) intent classification (7) large language model (6) zero-shot learning (6) out-of-distribution detection (6) intent detection (5) catastrophic forgetting (5) diffusion model (5) task-oriented dialogue (5) dialogue state tracking (4) representation learning (4) discriminative training (4) contrastive learning (3) image restoration (3) domain adaptation (3) manifold learning (3) robotic manipulation (3) self-supervised learning (3)

Papers

AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025
Panorama Generation From NFoV Image Done Right CVPR 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025
AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance ICCV 2025
Dynamic Spectral Graph Anomaly Detection AAAI 2025
Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework ICCV 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
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning ICLR 2025
Beyond Random Masking: When Dropout meets Graph Convolutional Networks ICLR 2025
iManip: Skill-Incremental Learning for Robotic Manipulation ICCV 2025
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis ICCV 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
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
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training ACL 2023
Real-World Image Super-Resolution as Multi-Task Learning NIPS 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training ICCV 2023
Continual Graph Convolutional Network for Text Classification AAAI 2023
Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation COLING 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
Online-Updated High-Order Collaborative Networks for Single Image Deraining 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
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 ACL 2021
Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021
Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
A Closer Look at the Training Strategy for Modern Meta-Learning NIPS 2020
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification ACL 2020
Reconstructing Capsule Networks for Zero-shot Intent Classification IJCNLP 2019
Label Efficient Semi-Supervised Learning via Graph Filtering CVPR 2019
Reconstructing Capsule Networks for Zero-shot Intent Classification EMNLP 2019
Attributed Graph Clustering via Adaptive Graph Convolution IJCAI 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