11 citations · 20 across the 7 of their papers we have counts for
7 papers
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Songyu Ke, Ting Li, Li Song +4
Accurate acquisition of crowd flow at Points of Interest (POIs) is pivotal for effective traffic management, public service, and urban planning. Despite this importance, due to the…
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data
Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva +3
The need for more usable and explainable machine learning models in healthcare increases the importance of developing and utilizing causal discovery algorithms, which aim to discov…
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
Yaoxian Song, Penglei Sun, Piaopiao Jin +7
Robotic grasping is a fundamental ability for a robot to interact with the environment. Current methods focus on how to obtain a stable and reliable grasping pose in object level,…
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images
Yuhan Zheng, Fuping Wu, Bartłomiej W. Papież
Diabetic retinopathy (DR) is a complication of diabetes, and one of the major causes of vision impairment in the global population. As the early-stage manifestation of DR is usuall…
Toward Global Sensing Quality Maximization: A Configuration Optimization Scheme for Camera Networks
Xuechao Zhang, Xuda Ding, Yi Ren +3
The performance of a camera network monitoring a set of targets depends crucially on the configuration of the cameras. In this paper, we investigate the reconfiguration strategy fo…
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
Yu Zheng, Zhangxuan Dang, Chunlei Peng +2
Network traffic classification is the basis of many network security applications and has attracted enough attention in the field of cyberspace security. Existing network traffic c…
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
Yuli Zheng, Zhenyu Wu, Ye Yuan +2
Credit risk modeling has permeated our everyday life. Most banks and financial companies use this technique to model their clients' trustworthiness. While machine learning is incre…