Xiaolei Wang
16 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (48) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Keyword Collector
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Research topics
Artificial Intelligence
(11)
Deep Learning
(9)
Machine Learning
(9)
Core AI
(9)
Learning Types Β· Deep Learning
(8)
Computer Vision
(6)
Analysis
(6)
Learning Types Β· Machine Learning
(6)
Natural Language Processing
(5)
Core Methods
(3)
Generation
(3)
Application Areas
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Keywords
large language model
(4)
weakly supervised semantic segmentation
(4)
vision transformer
(3)
class activation map
(3)
feature reconstruction
(2)
in-context learning
(2)
unsupervised anomaly detection
(2)
anomaly detection
(1)
feature learning
(1)
transformer architecture
(1)
knowledge distillation
(1)
chain-of-thought reasoning
(1)
named entity recognition
(1)
multilingual processing
(1)
natural language understanding
(1)
optimal transport
(1)
object tracking
(1)
adversarial training
(1)
model robustness
(1)
cross-modal learning
(1)
Papers
Beyond Text: Visual Description Assembly by Probabilistic Model for CLIP-based Weakly Supervised Semantic Segmentation
CVPR 2026
Frequency-Aware Affinity for Weakly Supervised Semantic Segmentation
CVPR 2026
Hunting Normality from Query Sample via Residual Learning for Generalist Anomaly Detection
CVPR 2026
Leveraging Class Distributions in CLIP for Weakly Supervised Semantic Segmentation
CVPR 2026
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
AAAI 2025
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
NAACL 2025
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection
ICCV 2025
FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
CVPR 2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
ICLR 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
AAAI 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models
ACL 2024
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
IJCAI 2024
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
EMNLP 2023
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View
EMNLP 2023
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
ACL 2021