30 citations · 89 across the 9 of their papers we have counts for
9 papers
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Zimeng Li, Sa Xiao, Cheng Wang +11
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provides a way to visualize the structure and function of human lung, but the long imaging time limits its broad r…
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth
Zelin Liu, Xinggang Wang, Cheng Wang +2
Exploring robust and efficient association methods has always been an important issue in multiple-object tracking (MOT). Although existing tracking methods have achieved impressive…
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation
Cheng Wang, Guoli Wang, Qian Zhang +3
Open-world instance segmentation has recently gained significant popularitydue to its importance in many real-world applications, such as autonomous driving, robot perception, and…
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang, Carolin Lawrence, Mathias Niepert
Uncertainty quantification is crucial for building reliable and trustable machine learning systems. We propose to estimate uncertainty in recurrent neural networks (RNNs) via stoch…
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
Cheng Wang, Mathias Niepert, Hui Li
Data sparsity and data imbalance are practical and challenging issues in cross-domain recommender systems. This paper addresses those problems by leveraging the concepts which deri…
State-Regularized Recurrent Neural Networks
Cheng Wang, Mathias Niepert
Recurrent neural networks are a widely used class of neural architectures. They have, however, two shortcomings. First, it is difficult to understand what exactly they learn. Secon…