Zeyu Huang
12 papers · 2022–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
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Prolific Year · Productive
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Architectures
(3)
Natural Language Processing
(2)
Application Areas
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Computer Vision
(1)
Analysis
(1)
Applications
(1)
Keywords
mixture of expert
(4)
large language model
(4)
parameter efficiency
(2)
attention mechanism
(2)
point cloud
(1)
model architecture
(1)
domain generalization
(1)
class imbalance
(1)
data augmentation
(1)
reinforcement learning from human feedback
(1)
surface reconstruction
(1)
reward model
(1)
neural network optimization
(1)
sparse activation
(1)
model scaling
(1)
feed-forward network
(1)
pre-trained language model
(1)
conditional computation
(1)
implicit field
(1)
3d reconstruction
(1)
Papers
A Closer Look into Mixture-of-Experts in Large Language Models
NAACL 2025
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
ACL 2025
Layerwise Recurrent Router for Mixture-of-Experts
ICLR 2025
Post-hoc Reward Calibration: A Case Study on Length Bias
ICLR 2025
SYSUpporter Team at BEA 2025 Shared Task: Class Compensation and Assignment Optimization for LLM-generated Tutor Identification
ACL 2025
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation
ECCV 2024
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
NeurIPS 2024
Unlocking Continual Learning Abilities in Language Models
EMNLP 2024
Unlocking Emergent Modularity in Large Language Models
NAACL 2024
ARO-Net: Learning Implicit Fields From Anchored Radial Observations
CVPR 2023
Transformer-Patcher: One Mistake Worth One Neuron
ICLR 2023
Mixture of Attention Heads: Selecting Attention Heads Per Token
EMNLP 2022