Ludi Wang

Orcid: 0000-0002-9346-6250

According to our database1, Ludi Wang authored at least 13 papers between 2017 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation.
CoRR, 2024

2023
Autodive: An Integrated Onsite Scientific Literature Annotation Tool.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Bi-level Optimization Method for Automatic Reward Shaping of Reinforcement Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

FPGA-Based Control of Remote Robotic Hands and ROS2 Integration.
Proceedings of the 2022 Tenth International Symposium on Computing and Networking, CANDAR 2022, 2022

A Knowledge Graph Based Approach to Operational Coordination Recognition in Wargame.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022

2019
Detection of Congestive Heart Failure Based on LSTM-Based Deep Network via Short-Term RR Intervals.
Sensors, 2019

Erratum to: A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG.
Frontiers Inf. Technol. Electron. Eng., 2019

A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG.
Frontiers Inf. Technol. Electron. Eng., 2019

Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking.
CoRR, 2019

Deep Ensemble Detection of Congestive Heart Failure Using Short-Term RR Intervals.
IEEE Access, 2019

2018
CHF Detection with LSTM Neural Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Clustering ECG heartbeat using improved semi-supervised affinity propagation.
IET Softw., 2017

A Novel Method for Detecting the Degree of Fatigue Using Mobile Camera.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017


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