Zeyi Wen
19 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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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (50) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Renaissance Researcher
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Keyword Collector
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Research topics
Machine Learning
(16)
Artificial Intelligence
(9)
Application Areas
(9)
Learning Types · Machine Learning
(9)
Optimization & Theory · Machine Learning
(9)
Core Methods
(8)
Deep Learning
(7)
Core AI
(7)
Learning Types · Deep Learning
(4)
Natural Language Processing
(3)
Optimization & Theory · Deep Learning
(3)
Mathematics & Optimization
(2)
Applications
(2)
Architectures
(2)
Learning Paradigms
(2)
Keywords
large language model
(5)
gradient boosting decision tree
(4)
hyperparameter optimization
(3)
gpu computing
(2)
contrastive learning
(2)
reinforcement learning
(2)
multi-fidelity optimization
(2)
support vector machine
(2)
pre-trained language model
(2)
ensemble learning
(2)
privacy-preserving machine learning
(2)
feature attribution
(2)
mixture of expert
(2)
parallel computing
(2)
feature selection
(1)
natural language processing
(1)
sentiment analysis
(1)
convex optimization
(1)
federated learning
(1)
emotion recognition
(1)
Papers
A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning
AAAI 2026
Efficient Hyperparameter Optimization for LLM Reinforcement Learning
ACL 2026
Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation
ACL 2026
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference
EMNLP 2025
Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
EMNLP 2025
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
NAACL 2025
RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition
IJCAI 2025
SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval
EMNLP 2025
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
AAAI 2025
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning
AAAI 2025
Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
CVPR 2024
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis
EMNLP 2024
Local Path Integration for Attribution
AAAI 2023
Re-calibrating Feature Attributions for Model Interpretation
ICLR 2023
Challenges and Opportunities of Building Fast GBDT Systems
IJCAI 2021
Practical Federated Gradient Boosting Decision Trees
AAAI 2020
Privacy-Preserving Gradient Boosting Decision Trees
AAAI 2020
ThunderGBM: Fast GBDTs and Random Forests on GPUs
JMLR 2020
ThunderSVM: A Fast SVM Library on GPUs and CPUs
JMLR 2018