activity
20142021
most citedStochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation

40 citations · 72 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2021

Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding

J. Zhang, Q. Dong, J. Shi +9

Hyperbolic geometry has been successfully applied in modeling brain cortical and subcortical surfaces with general topological structures. However such approaches, similar to other…

cs.LG2020★ 8 cited

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation

Mengyue Yang, Qingyang Li, Zhiwei Qin +1

Contextual multi-armed bandit (MAB) achieves cutting-edge performance on a variety of problems. When it comes to real-world scenarios such as recommendation system and online adver…

cs.CV2019★ 1 cited

Weak Edge Identification Nets for Ocean Front Detection

Qingyang Li, Guoqiang Zhong, Cui Xie

The ocean front has an important impact in many areas, it is meaningful to obtain accurate ocean front positioning, therefore, ocean front detection is a very important task. Howev…

cs.LG2019★ 3 cited

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation

Wenjie Shang, Yang Yu, Qingyang Li +3

Reinforcement learning aims at searching the best policy model for decision making, and has been shown powerful for sequential recommendations. The training of the policy by reinfo…

cs.GR2018★ 5 cited

NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids

Rajaditya Mukherjee, Qingyang Li, Zhili Chen +2

Small-scale liquid flows on solid surfaces provide convincing details in liquid animation, but they are difficult to be simulated with efficiency and fidelity, mostly due to the co…

cs.CV2017★ 12 cited

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images

Jie Zhang, Qingyang Li, Richard J. Caselli +2

Algorithmic image-based diagnosis and prognosis of neurodegenerative diseases on longitudinal data has drawn great interest from computer vision researchers. The current state-of-t…