Xuechen Zhao

Orcid: 0000-0003-3466-0835

According to our database1, Xuechen Zhao authored at least 23 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks.
IEEE Trans. Mob. Comput., May, 2024

2023
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.
World Wide Web (WWW), September, 2023

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies.
Proceedings of the Database Systems for Advanced Applications, 2023

A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning.
CoRR, 2022

Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies.
CoRR, 2022

Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021
Method based on the cross-layer attention mechanism and multiscale perception for safety helmet-wearing detection.
Comput. Electr. Eng., 2021

Cooperative Use of Recurrent Neural Network and Siamese Region Proposal Network for Robust Visual Tracking.
IEEE Access, 2021

Designing Obstacle Reminder for Safe AR Navigation.
Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

2020
Research on a new automatic generation algorithm of concept map based on text analysis and association rules mining.
J. Ambient Intell. Humaniz. Comput., 2020

2019
Hyperspectral image classification with SVM and guided filter.
EURASIP J. Wirel. Commun. Netw., 2019

A Concept Map-Based Learning Paths Automatic Generation Algorithm for Adaptive Learning Systems.
IEEE Access, 2019

2018
An Automatic Matching Model for Chinese Test Questions and Knowledge Points Based on Text Classification.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Open-Neutral Fault Detection in Underground Space Based on Genetic Support Vector Machine.
Proceedings of the Advancements in Smart City and Intelligent Building, 2018

Research on a New Automatic Generation Algorithm of Concept Map Based on Text Clustering and Association Rules Mining.
Proceedings of the Intelligent Computing Theories and Application, 2018


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