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🇺🇸EN/🇨🇳中文

Site Li

Carnegie Mellon University

Papers

2

Total Citations

57

H-Index

2

About

No biography available yet.

Research Focus

Mathematical optimization2 · 57 citations
Mathematics2 · 57 citations
Computer science2 · 57 citations
Machine learning2 · 57 citations
Artificial intelligence2 · 57 citations
Figure–ground1 · 54 citations
Metric (unit)1 · 54 citations
Entropy (arrow of time)1 · 54 citations
Cross entropy1 · 54 citations
Class (philosophy)1 · 54 citations
Image segmentation1 · 54 citations
Pattern recognition (psychology)1 · 54 citations

Key Achievements

2
H-Index
2
Papers
57
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
54 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
    Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
    54 citations · 2020
  2. 2
    MBB: Model-Based Baseline for Efficient Reinforcement Learning.
    3 citations · 2020

Key Collaborators

YPYe Pu1 shared papersJLJun Lu1 shared papersMCMo Chen1 shared papersTWTianxing Wang1 shared papersXLXubo Lyu1 shared papersXHXu Han1 shared papersYGYi Ge1 shared papersYHYuzhuo Han1 shared papersSSSeth Siriya1 shared papersJYJane You1 shared papersXLXiaofeng Liu1 shared papersSBSong Bai1 shared papers
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