Xiaolei Wang
13 papers · 2021–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Renaissance Researcher (6)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(43)
π
Keyword Champion
(2)
π
Century Club
(13)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(68)
Conferences
ACL (3)
AAAI (2)
EMNLP (2)
CVPR (1)
ICCV (1)
ICLR (1)
IJCAI (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
natural language conversation
(2)
vision transformer
(2)
unsupervised anomaly detection
(2)
feature reconstruction
(2)
graph neural network
(2)
conversational recommender system
(2)
model robustness
(1)
gradient-based optimization
(1)
transformer architecture
(1)
multilingual processing
(1)
explanation generation
(1)
cross-modal learning
(1)
adversarial training
(1)
named entity recognition
(1)
iterative refinement
(1)
chain-of-thought reasoning
(1)
out-of-distribution generalization
(1)
prompt learning
(1)
in-context learning
(1)
Papers
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection
AAAI 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
FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
CVPR 2025
DecAD: Decoupling Anomalies in Latent Space for Multi-Class Unsupervised Anomaly Detection
ICCV 2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
ICLR 2025
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
NAACL 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
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
IJCNLP 2021