Awesome Graph Learning
📄
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
Haotian Xu — most-cited papers & profile · Graph Learning
← authors
·
overview
Haotian Xu
11
papers ·
19
citations ·
4
h-index
Wuhan University · Wuhan University of Science and Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Itd: Large Language Models Can Teach Themselves Induction Through Deduction
2024 · 14 citations
REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
2025 · 2 citations
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
2024 · 1 citations
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
2024 · 1 citations
Navi2Gaze: Leveraging Foundation Models for Navigation and Target Gazing
2024 · 1 citations
SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation
2025
TL;DR: Too Long, Do Re-weighting for Effcient LLM Reasoning Compression
2025
Concept-guided Backdoor Attack On Vision Language Models
2025
GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigation
2025
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
2023
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
2024
Topics
Training Techniques
RLHF & Alignment
Reinforcement Learning
Efficiency
Navigation
Perception
Manipulation
Evaluation
In-Context Learning
Model Architecture