Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Shou-De Lin — most-cited papers & profile · Large Language Models
← authors
·
overview
Shou-De Lin
8
papers ·
203
citations ·
32
h-index
National Taiwan University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
2019 · 117 citations
A Memory-Network Based Solution for Multivariate Time-Series Forecasting
2018 · 54 citations
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents
2017 · 7 citations
Towards a More Reliable Privacy-preserving Recommender System
2017 · 6 citations
Towards a More Reliable Privacy-preserving Recommender System
2017 · 6 citations
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models
2018 · 3 citations
AutoML-GPT: Large Language Model for AutoML
2023 · 2 citations
Top co-authors
Bo-Wei Huang
· 1
Bowen Jin
· 1
Jiawei Han
· 1
Kevin Chen–Chuan Chang
· 1
K. R. Zhu
· 1
Ming Zhong
· 1
Yizhu Jiao
· 1
Topics
Collaborative Filtering
Privacy
Security
Federated Learning
Multi-Agent
Safe RL
RLHF & Alignment
Domain — Finance
Transformer Forecasters
Value-Based