activity
20162023
most citedLongitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction

15 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2023

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale

Qichao Wang, Tian Bian, Yian Yin +6

The recent surge in the research of diffusion models has accelerated the adoption of text-to-image models in various Artificial Intelligence Generated Content (AIGC) commercial pro…

cs.LG20231 cited

Towards Controllable Diffusion Models via Reward-Guided Exploration

Hengtong Zhang, Tingyang Xu

By formulating data samples' formation as a Markov denoising process, diffusion models achieve state-of-the-art performances in a collection of tasks. Recently, many variants of di…

cs.LG2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions

Tian Bian, Yuli Jiang, Jia Li +6

Many patients with chronic diseases resort to multiple medications to relieve various symptoms, which raises concerns about the safety of multiple medication use, as severe drug-dr…

cs.LG20215 cited

Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows

Junchi Yu, Tingyang Xu, Ran He

As Graph Neural Networks (GNNs) are widely adopted in digital pathology, there is increasing attention to developing explanation models (explainers) of GNNs for improved transparen…

cs.DC2016

Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent

Soumitra Pal, Tingyang Xu, Tianbao Yang +2

In prior works, stochastic dual coordinate ascent (SDCA) has been parallelized in a multi-core environment where the cores communicate through shared memory, or in a multi-processo…

stat.ME201615 cited

Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction

Tingyang Xu, Jiangwen Sun, Jinbo Bi

Longitudinal analysis is important in many disciplines, such as the study of behavioral transitions in social science. Only very recently, feature selection has drawn adequate atte…