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Xuechen Zhao
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2020 – today
- 2024
- [j10]Wenhao Shao, Praboda Rajapaksha, Noël Crespi, Xuechen Zhao, Mengzhu Wang, Nan Yin, Xinwang Liu, Zhigang Luo:
Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. Neurocomputing 610: 128589 (2024) - [j9]Xuechen Zhao, Jiaying Zou, Jinfeng Miao, Lei Tian, Liqun Gao, Bin Zhou, Shengnan Pang:
Zero-shot stance detection based on multi-perspective transferable feature fusion. Inf. Fusion 108: 102386 (2024) - [j8]Fuqiang Yang, Yue Zhang, Xuechen Zhao, Shengnan Pang:
Unleashing the Power of Decoders: Temporal Knowledge Graph Extrapolation with Householder Transformation. Symmetry 16(9): 1166 (2024) - [j7]Yuying Liao, Le Ma, Bin Zhou, Xuechen Zhao, Feng Xie:
DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks. IEEE Trans. Mob. Comput. 23(5): 3938-3949 (2024) - [c18]Guanlin Li, Xuechen Zhao, Amir Reza Jafari, Wenhao Shao, Reza Farahbakhsh, Noël Crespi:
Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training. LREC/COLING 2024: 8781-8791 - [c17]Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou:
F²RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation. EMNLP 2024: 4457-4470 - [c16]Xuechen Zhao, Lei Tian, Feng Xie, Bin Zhou, Haiyang Wang, Hongzhou Wu, Liqun Gao:
MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning. ICASSP 2024: 11726-11730 - [c15]Yinxuan Huang, Chenxi Zhu, Kai Chen, Xuechen Zhao, Liqun Gao, Kai Xiao, Yanyi Huang, Bin Zhou:
Feature Interaction for Temporal Knowledge Graph Extrapolation. ICIC (13) 2024: 379-391 - 2023
- [j6]Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie:
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. World Wide Web (WWW) 26(5): 3607-3632 (2023) - [c14]Haiyang Wang, Xin Song, Bin Zhou, Xuechen Zhao:
Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification. CogSci 2023 - [c13]Xuechen Zhao, Jiaying Zou, Lei Tian, Feng Xie, Haiyang Wang, Hongzhou Wu, Bin Zhou, Jie Tian:
A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning. CogSci 2023 - [c12]Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan:
Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies. DASFAA (4) 2023: 239-249 - [c11]Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan:
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching. EMNLP (Findings) 2023: 886-896 - [c10]Hongzhou Wu, Yifan Lyu, Xingyu Shen, Xuechen Zhao, Mengzhu Wang, Xiang Zhang, Zhigang Luo:
Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding. ICME 2023: 1523-1528 - [c9]Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian:
Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning. SDM 2023: 900-908 - [i4]Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan:
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching. CoRR abs/2311.04441 (2023) - 2022
- [c8]Jiaying Zou, Xuechen Zhao, Feng Xie, Bin Zhou, Zhong Zhang, Lei Tian:
Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning. ICTAI 2022: 251-258 - [c7]Zhong Zhang, Feng Xie, Xuechen Zhao, Bin Zhou, Jian Chen, Lei Tian:
Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement. ICTAI 2022: 1262-1270 - [c6]Yushan Jiang, Bin Zhou, Xuechen Zhao, Jiaying Zou, Feng Xie, Liang Li:
Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection. ICTAI 2022: 1271-1276 - [c5]Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan:
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. SEKE 2022: 124-129 - [i3]Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan:
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. CoRR abs/2208.11515 (2022) - [i2]Feng Xie, Zhong Zhang, Xuechen Zhao, Jiaying Zou, Bin Zhou, Yusong Tan:
Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies. CoRR abs/2209.04631 (2022) - [i1]Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian:
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning. CoRR abs/2210.03380 (2022) - 2021
- [j5]Xuechen Zhao, Yaoming Liu, Guang Han:
Cooperative Use of Recurrent Neural Network and Siamese Region Proposal Network for Robust Visual Tracking. IEEE Access 9: 57704-57715 (2021) - [j4]Guang Han, Mengcheng Zhu, Xuechen Zhao, Hua Gao:
Method based on the cross-layer attention mechanism and multiscale perception for safety helmet-wearing detection. Comput. Electr. Eng. 95: 107458 (2021) - [c4]Xinyi Su, Xuechen Zhao, Chong Cao:
Designing Obstacle Reminder for Safe AR Navigation. VRST 2021: 61:1-61:2 - 2020
- [j3]Zengzhen Shao, Yancong Li, Xiao Wang, Xuechen Zhao, Yanhui Guo:
Research on a new automatic generation algorithm of concept map based on text analysis and association rules mining. J. Ambient Intell. Humaniz. Comput. 11(2): 539-551 (2020)
2010 – 2019
- 2019
- [j2]Yancong Li, Zengzhen Shao, Xiao Wang, Xuechen Zhao, Yanhui Guo:
A Concept Map-Based Learning Paths Automatic Generation Algorithm for Adaptive Learning Systems. IEEE Access 7: 245-255 (2019) - [j1]Yanhui Guo, Xijie Yin, Xuechen Zhao, Dongxin Yang, Yu Bai:
Hyperspectral image classification with SVM and guided filter. EURASIP J. Wirel. Commun. Netw. 2019: 56 (2019) - 2018
- [c3]Zengzhen Shao, Yancong Li, Xiao Wang, Xuechen Zhao, Yanhui Guo:
Research on a New Automatic Generation Algorithm of Concept Map Based on Text Clustering and Association Rules Mining. ICIC (1) 2018: 479-490 - [c2]Xuechen Zhao, Ping Wang, Jianchun Xing:
Open-Neutral Fault Detection in Underground Space Based on Genetic Support Vector Machine. ICSCIB 2018: 621-630 - [c1]Yancong Li, Zengzhen Shao, Hongxu Sun, Xuechen Zhao, Yanhui Guo:
An Automatic Matching Model for Chinese Test Questions and Knowledge Points Based on Text Classification. ISCID (2) 2018: 352-355
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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