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ORCIDYali Wan
Person information
Other persons with a similar name
- Yali Wang (aka: Ya-Li Wang, Ya li Wang) — disambiguation page
- Yaliang Wang
- Yaling Wang
- Yali Wang 0001
![[0000-0002-2999-7428]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2999-7428")
— Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, China - Yalin Wang 0001 — Arizona State University, Tempe, AZ, USA
- Yali Wang 0002 — Leiden University, Leiden Institute of Advanced Computer Science, the Netherlands
- Yalin Wang 0003 — Central South University, School of Automation, Changsha, China (and 2 more)
- Yalin Wang 0005 — Nanjing University of Information Science and Technology, China
- Yalin Wang 0011 — Zhejiang University, College of ISEE, Hangzhou, China
- Yalin Wang 0012 — Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Engineering, Shanghai, China (and 1 more)
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2020 – today
- 2021
[i3]Yali Wan, Marina Meila:
A class of network models recoverable by spectral clustering. CoRR abs/2104.10347 (2021)
2010 – 2019
- 2019
- [i2]Yali Wan, Marina Meila:
Measuring the Robustness of Graph Properties. CoRR abs/1901.09661 (2019) - 2018
- [c5]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - 2017
- [c4]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [i1]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. CoRR abs/1703.01393 (2017) - 2016
- [c3]Yali Wan, Marina Meila:
Benchmarking recovery theorems for the DC-SBM. ISAIM 2016 - [c2]Yali Wan, Marina Meila:
Graph Clustering: Block-models and model free results. NIPS 2016: 2478-2486 - 2015
- [c1]Yali Wan, Marina Meila:
A class of network models recoverable by spectral clustering. NIPS 2015: 3285-3293
Coauthor Index
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