Jinjin Zhao

Orcid: 0000-0001-8536-3510

According to our database1, Jinjin Zhao authored at least 28 papers between 2009 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Topological Nonlinear Analysis of Dynamical Systems in Wearable Sensor-Based Human Physical Activity Inference.
IEEE Trans. Hum. Mach. Syst., August, 2023

Proteomic analysis of foot ulcer tissue reveals novel potential therapeutic targets of wound healing in diabetic foot ulcers.
Comput. Biol. Medicine, June, 2023

AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport.
CoRR, 2023

FFPDG: Fast, Fair and Private Data Generation.
CoRR, 2023

Data Makes Better Data Scientists.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2023

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow.
Proc. VLDB Endow., 2022

Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition.
CoRR, 2022

Towards causal physical error discovery in video analytics systems.
Proceedings of the HILDA@SIGMOD 2022: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2022

Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Air Quality Prediction Based on a Spatiotemporal Attention Mechanism.
Mob. Inf. Syst., 2021

Improving the Quality of Left-Behind Children's Participation in Sports through Wireless Network Monitoring.
Mob. Inf. Syst., 2021

A Novel Framework for Discovering Cognitive Models of Learning.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Data Mining for Discovering Cognitive Models of Learning.
Proceedings of the ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20, 2021

2020
Knowledge Graph Semantic Enhancement of Input Data for Improving AI.
IEEE Internet Comput., 2020

Switchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision.
Adv. Intell. Syst., 2020

Multi-Modal Pedestrian Trajectory Prediction for Edge Agents Based on Spatial-Temporal Graph.
IEEE Access, 2020

Key Location Discovery of Underground Personnel Trajectory Based on Edge Computing.
Proceedings of the Mobile Computing, Applications, and Services, 2020

Introducing Alexa for E-learning.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Cold Start Knowledge Tracing with Attentive Neural Turing Machine.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

A Novel Approach for Knowledge State Representation and Prediction.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

2019
A Hardware and Software Task-Scheduling Framework Based on CPU+FPGA Heterogeneous Architecture in Edge Computing.
IEEE Access, 2019

2018
DualSLIC: An Automatic Coarse-to-Fine Method on Pancreas Segmentation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2009
The Vulnerability Analysis Framework for Java Bytecode.
Proceedings of the 15th IEEE International Conference on Parallel and Distributed Systems, 2009


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