Su, Liangjun

1. Determining the Number of Communities in Degree-corrected Stochastic Block Models
   2018/09/04 by Shujie Ma, Liangjun Su, Ma, Shujie +3 · 3 citations
   Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph theory and applications #Methodology (stat.ME) #Random Matrices and Applications
2. Strong Consistency of Spectral Clustering for Stochastic Block Models
   2017/10/17 by Su, Liangjun, Wang, Wuyi, Zhang, Yichong · 2 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
3. L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis
   2020/10/19 by Shi, Zhentao, Su, Liangjun, Xie, Tian · 2 citations
   #Econometrics (econ.EM) #FOS: Economics and business
4. Non-separable Models with High-dimensional Data
   2017/02/15 by Liangjun Su, Su, Liangjun, Takuya Ura +3 · 1 citation
   Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
5. Panel Data Models with Time-Varying Latent Group Structures
   2023/07/29 by Wang, Yiren, Phillips, Peter C B, Su, Liangjun · 1 citation
   #Econometrics (econ.EM) #FOS: Economics and business
6. Detecting Latent Communities in Network Formation Models
   2020/05/07 by Shujie Ma, Liangjun Su, Ma, Shujie +3 · 1 citation
   Physics and Astronomy · Psychology · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Mental Health Research Topics