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Chaohua Yang
Institution:
Shenzhen University
Observed institutions:
Shenzhen University,
East China Normal University
ORCID:
0009-0006-8555-2841
Observed ORCID:
0009-0006-8555-2841
OpenAlex ID:
A5071694037
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
2024
·
Dugang Liu
, Chaohua Yang
, et al.
·
ACM International Conference on Web Search and Data Mining (WSDM)
·
22
Respiratory Consultant by Your Side: Affordable and Remote Intelligent Respiratory Rate and Respiratory Pattern Monitoring System
2021
·
Yunlu Wang
, Menghan Hu
, et al.
·
IEEE Internet of Things Journal
·
12
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems
2024
·
Dugang Liu
, Shenxian Xian
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
8
Superpixel-refined deep learning framework with texture enhancement and multi-layer attention fusion for automatic crop detection in VGI cropland imagery
2025
·
Xingbo Hu
, Chaohua Yang
, et al.
·
Computers and Electronics in Agriculture
·
7
Scenario Shared Instance Modeling for Click-through Rate Prediction
2025
·
Dugang Liu
, Chaohua Yang
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
5
Low-Cost and Unobtrusive Respiratory Condition Monitoring Based on Raspberry Pi and Recurrent Neural Network
2021
·
Yunlu Wang
, Menghan Hu
, et al.
·
IEEE International Symposium on Circuits and Systems proceedings
·
5
Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
2025
·
Xing Tang
, Chaohua Yang
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
3
PDF
Multi-scenario Instance Embedding Learning for Deep Recommender Systems
2025
·
Chaohua Yang
, Dugang Liu
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
3
PDF
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
2026
·
Chaohua Yang
, Dugang Liu
, et al.
·
1
Bridge the Unseen Gap: Enhancing Non-overlapping Cross-domain CTR Prediction via Profile Retrieval
2026
·
Jingyang Bin
, Xing Tang
, et al.
·
ACM Conference on Recommender Systems (RecSys)
AMS: Adaptive Modality Scheduling for Industrial Multi-Scenario CTR Prediction
2026
·
Kailiang Hao
, Chaohua Yang
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
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Works count:
11
Citation count:
66
H-index:
5
I10-index:
2
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