Yiran Zhao
Orcid: 0000-0001-8060-1364
According to our database1,
Yiran Zhao
authored at least 76 papers
between 2014 and 2024.
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Bibliography
2024
Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography.
J. Big Data, December, 2024
Early Warning of Systemic Risk in Commodity Markets Based on Transfer Entropy Networks: Evidence from China.
Entropy, July, 2024
A Novel Entity and Relation Joint Interaction Learning Approach for Entity Alignment.
Int. J. Softw. Eng. Knowl. Eng., May, 2024
Tensor-train methods for sequential state and parameter learning in state-space models.
J. Mach. Learn. Res., 2024
The Communal Loom: Integrating Tangible Interaction and Participatory Data Collection for Assessing Well-Being.
CoRR, 2024
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR, 2024
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
CoRR, 2024
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.
CoRR, 2024
Integrating Dependency Type and Directionality into Adapted Graph Attention Networks to Enhance Relation Extraction.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
AuraPose: Accurate Human Pose Detection and Behavior Recognition via Enhanced OpenPose with Angular Measurement.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning.
J. Big Data, December, 2023
Mapping Population Distribution with High Spatiotemporal Resolution in Beijing Using Baidu Heat Map Data.
Remote. Sens., January, 2023
Tensor-based Methods for Sequential State and Parameter Estimation in State Space Models.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
8th International Workshop on Mental Health and Well-being: Sensing and Intervention.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023
Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
High-Precision Population Spatialization in Metropolises Based on Ensemble Learning: A Case Study of Beijing, China.
Remote. Sens., 2022
Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021.
IEEE Pervasive Comput., 2022
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Automatic Parameter Tuning via Reinforcement Learning for Crowd Simulation with Social Distancing.
Proceedings of the 26th International Conference on Methods and Models in Automation and Robotics, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the Chinese Lexical Semantics - 23rd Workshop, 2022
2021
Proc. ACM Hum. Comput. Interact., 2021
Int. J. Distributed Syst. Technol., 2021
Expert Syst. Appl., 2021
Dimension by dimension dynamic sine cosine algorithm for global optimization problems.
Appl. Soft Comput., 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Joint Order Dispatch and Repositioning for Urban Vehicle Sharing Systems via Robust Optimization.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
2020
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020
2019
IEEE Access, 2019
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.
Proceedings of the World Wide Web Conference, 2019
SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019
2018
J. Sens. Actuator Networks, 2018
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Brain Connect., 2018
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018
QualityDeepSense: Quality-Aware Deep Learning Framework for Internet of Things Applications with Sensor-Temporal Attention.
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018
CASPER: capacitive serendipitous power transfer for through-body charging of multiple wearable devices.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018
2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.
CoRR, 2017
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing.
Proceedings of the 26th International Conference on World Wide Web, 2017
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Decision-Driven Execution: A Distributed Resource Management Paradigm for the Age of IoT.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017
Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers.
Proc. VLDB Endow., 2016
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
2015
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015
2014
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014