Awesome Recommender Systems
📄
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
Zhe Li — most-cited papers & profile · Recommender Systems
← authors
·
overview
Zhe Li
48
papers ·
820
citations ·
5
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning
2017 · 282 citations
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
2023 · 234 citations
E-RNN: Design Optimization For Efficient Recurrent Neural Networks In Fpgas
2018 · 76 citations
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
2025 · 20 citations
Ternaryllm: Ternarized Large Language Model
2024 · 17 citations
Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability
2022 · 13 citations
General Point Model With Autoencoding And Autoregressive
2023 · 11 citations
Balancing Privacy Protection and Interpretability in Federated Learning
2023 · 3 citations
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
2024 · 2 citations
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
2024 · 1 citations
UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition
2026
Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
2026
PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing
2026
Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models
2026
RoboBrain 2.5: Depth in Sight, Time in Mind
2026
Topics
Control
Manipulation
Perception
Human-Robot Interaction
Multi-Robot
Adversarial ML
LLM Security
Locomotion
Humanoid
Federated Learning