Xuechen Zhao
Orcid: 0000-0001-8819-6914
According to our database1,
Xuechen Zhao
authored at least 30 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Unleashing the Power of Decoders: Temporal Knowledge Graph Extrapolation with Householder Transformation.
Symmetry, September, 2024
DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks.
IEEE Trans. Mob. Comput., May, 2024
Inf. Fusion, 2024
Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching.
Neurocomputing, 2024
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
F²RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 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
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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
CoRR, 2022
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022
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
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
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