Chaoqun Yue - Concepedia

Author

Chaoqun Yue

University of Connecticut ORCID

Also Known As

Chaoqun Yue

Publications

795

Citations

H-Index

Concepts

All Affiliations

University of Connecticut UConn Health AT&T (United States)Indiana University

About

Chaoqun Yue is an author at University of Connecticut specializing in engineering, mobile computing, and mental health monitoring.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	621
2	Medicine	3	3	208
3	Public Health	2	2	166
4	Management	1	1	143
5	Social Sciences	1	1	84

Chaoqun Yue

Publications

777

Citations

H-Index

Page 1

	Year	Citations
LinkForecast: Cellular Link Bandwidth Prediction in LTE Networks Chaoqun Yue, Ruofan Jin, Kyoungwon Suh, IEEE Transactions on Mobile Computing EngineeringMachine LearningMobile CommunicationLte NetworksAccurate Cellular Link	2017	143
Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, EngineeringMachine LearningMental HealthPsychologyData Science	2016	123
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning Jin Lü, Chao Shang, Chaoqun Yue, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies Depression AnalysisEngineeringMachine LearningWearable SensorWearable Technology	2018	87
Predicting depressive symptoms using smartphone data Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Smart Health Mental Health MonitoringPsychopathologyPsychiatryMood SymptomDepression	2019	84
ABR streaming of VBR-encoded videos Yanyuan Qin, Shuai Hao, Krishna R. Pattipati, Adaptive BitrateAbr StreamingEngineeringUser QoeAdaptive Bitrate Streaming	2018	65
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies EngineeringPsychopathologyMental HealthData ScienceMood Symptom	2018	43
A control theoretic approach to ABR video streaming: A fresh look at PID-based rate adaptation Yanyuan Qin, Ruofan Jin, Shuai Hao, Abr StreamingEngineeringControl Theoretic ApproachVideo AdaptationVideo Streaming	2017	42
Quality-aware strategies for optimizing ABR video streaming QoE and reducing data usage Yanyuan Qin, Shuai Hao, Krishna R. Pattipati, Abr VideoCellular NetworksAdaptive BitrateQuality-aware StrategiesAdaptive Bitrate Streaming	2019	42
Automatic depression prediction using Internet traffic characteristics on smartphones Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Smart Health Mental Health MonitoringEngineeringPsychiatryMood SymptomMedicine	2020	37
Fusing Location Data for Depression Prediction Chaoqun Yue, Shweta Ware, Reynaldo Morillo, IEEE Transactions on Big Data	2018	30

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