Haibin Wen
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Learning Types
(2)
Models
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Architectures
(1)
Generation
(1)
Keywords
large language model
(2)
long-tailed learning
(2)
distribution shift
(2)
reinforcement learning
(1)
data augmentation
(1)
text generation
(1)
domain generalization
(1)
computational efficiency
(1)
class imbalance
(1)
mutual information
(1)
time series forecasting
(1)
imbalanced data
(1)
multi-objective optimization
(1)
evaluation benchmark
(1)
long-tailed distribution
(1)
neural network optimization
(1)
automatic search
(1)
time series decomposition
(1)
causal learning
(1)
multi-task learning
(1)
Papers
Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloom’s Taxonomy
ACL 2026
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
ICML 2025
STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
AAAI 2025
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
AAAI 2024
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
NeurIPS 2024
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
NeurIPS 2024
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
ICML 2024