2 citations · 2 across the 6 of their papers we have counts for
6 papers
The Threshold Breakdown Point
Tianjun Ke, Marco Avella Medina
We introduce a novel approach to finite sample robustness that avoids the pessimism of traditional breakdown analyses. We define the threshold breakdown point, the smallest contami…
Beyond Asymptotics: Practical Insights into Community Detection in Complex Networks
Tianjun Ke, Zhiyu Xu
The stochastic block model (SBM) is a fundamental tool for community detection in networks, yet the finite-sample performance of inference methods remains underexplored. We evaluat…
MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
Shuqi Li, Shufang Xie, Hongda Sun +4
Traditional drug discovery processes are both time-consuming and require extensive professional expertise. With the accumulation of drug-target interaction (DTI) data from experime…
Is Score Matching Suitable for Estimating Point Processes?
Haoqun Cao, Zizhuo Meng, Tianjun Ke +1
Score matching estimators have gained widespread attention in recent years partly because they are free from calculating the integral of normalizing constant, thereby addressing th…
Accelerating Convergence in Bayesian Few-Shot Classification
Tianjun Ke, Haoqun Cao, Feng Zhou
Bayesian few-shot classification has been a focal point in the field of few-shot learning. This paper seamlessly integrates mirror descent-based variational inference into Gaussian…
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
Tianjun Ke, Haoqun Cao, Zenan Ling +1
Meta-learning has demonstrated promising results in few-shot classification (FSC) by learning to solve new problems using prior knowledge. Bayesian methods are effective at charact…