Kaiping Zheng

According to our database1, Kaiping Zheng authored at least 17 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis.
CoRR, 2023

A Dietary Nutrition-aided Healthcare Platform via Effective Food Recognition on a Localized Singaporean Food Dataset.
CoRR, 2023

2022
DyHealth: Making Neural Networks Dynamic for Effective Healthcare Analytics.
Proc. VLDB Endow., 2022

ELDA: Learning Explicit Dual-Interactions for Healthcare Analytics.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

eDental: Managing Your Dental Care in Diet Diaries.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

ARM-Net: Adaptive Relation Modeling Network for Structured Data.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines.
CoRR, 2020

TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Attentive Geo-Social Group Recommendation.
CoRR, 2019

2017
A survey of query result diversification.
Knowl. Inf. Syst., 2017

Resolving the Bias in Electronic Medical Records.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Capturing Feature-Level Irregularity in Disease Progression Modeling.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Big Healthcare Data Analytics: Challenges and Applications.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2015
SINGA: A Distributed Deep Learning Platform.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015


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