activity
20172022
most citedDisentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model

37 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI20222 cited

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems

Yanchen Deng, Shufeng Kong, Caihua Liu +1

Belief Propagation (BP) is an important message-passing algorithm for various reasoning tasks over graphical models, including solving the Constraint Optimization Problems (COPs).…

cs.LG2021

HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders

Wenting Zhao, Shufeng Kong, Junwen Bai +2

Understanding how environmental characteristics affect bio-diversity patterns, from individual species to communities of species, is critical for mitigating effects of global chang…

cs.LG20202 cited

Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation

Shufeng Kong, Junwen Bai, Jae Hee Lee +6

A key problem in computational sustainability is to understand the distribution of species across landscapes over time. This question gives rise to challenging large-scale predicti…

cs.LG202037 cited

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model

Junwen Bai, Shufeng Kong, Carla Gomes

Multi-label classification is the challenging task of predicting the presence and absence of multiple targets, involving representation learning and label correlation modeling. We…

cs.MA20172 cited

Multiagent Simple Temporal Problem: The Arc-Consistency Approach

Shufeng Kong, Jae Hee Lee, Sanjiang Li

The Simple Temporal Problem (STP) is a fundamental temporal reasoning problem and has recently been extended to the Multiagent Simple Temporal Problem (MaSTP). In this paper we pre…