activity
20172022
most citedNonconvex One-bit Single-label Multi-label Learning

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing

Chen Wang, Zhongcai Pei, Shuang Qiu +1

Stairs are common building structures in urban environments, and stair detection is an important part of environment perception for autonomous mobile robots. Most existing algorith…

cs.CV2021

VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results

Dawei Du, Longyin Wen, Pengfei Zhu +52

Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…

stat.ML2019

Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee

Ming Lin, Shuang Qiu, Jieping Ye +5

Factorization machine (FM) is a popular machine learning model to capture the second order feature interactions. The optimal learning guarantee of FM and its generalized version is…

cs.LG2018

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning

Shupeng Gui, Xiangliang Zhang, Shuang Qiu +3

Graph embedding is a central problem in social network analysis and many other applications, aiming to learn the vector representation for each node. While most existing approaches…

stat.ML20173 cited

Nonconvex One-bit Single-label Multi-label Learning

Shuang Qiu, Tingjin Luo, Jieping Ye +1

We study an extreme scenario in multi-label learning where each training instance is endowed with a single one-bit label out of multiple labels. We formulate this problem as a non-…