Xuhong Li
12 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25)
💎
Century Club · Bronze
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Unstoppable · Bronze
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Research topics
Machine Learning
(6)
Artificial Intelligence
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Natural Language Processing
(5)
Core AI
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Core Methods
(3)
Deep Learning
(2)
Application Areas
(2)
Applications
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
feature attribution
(2)
feature extraction
(1)
convolutional neural network
(1)
optimal transport
(1)
graph representation learning
(1)
data augmentation
(1)
multi-label classification
(1)
feature importance
(1)
training dynamics
(1)
label noise
(1)
probability distribution
(1)
bayesian linear regression
(1)
elastic net
(1)
autoregressive model
(1)
feature selection
(1)
deep neural network
(1)
inductive bia
(1)
pre-trained model
(1)
transfer learning
(1)
representation learning
(1)
Papers
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
AAAI 2026
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
AAAI 2025
GiLOT: Interpreting Generative Language Models via Optimal Transport
ICML 2024
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
AAAI 2024
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization
COLING 2024
Tokenization Falling Short: On Subword Robustness in Large Language Models
EMNLP 2024
M^4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models
NeurIPS 2023
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features
AAAI 2023
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification
ACL 2023
InterpretDL: Explaining Deep Models in PaddlePaddle
JMLR 2022
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
ECCV 2020
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
ICML 2018