Research on a New Automatic Generation Algorithm of Concept Map Based on Text Clustering and Association Rules Mining. - Zengzhen Shao; Yancong Li; Xiao Wang; Xuechen Zhao; Yanhui Guo (ICIC (1), 2018)

Open-Neutral Fault Detection in Underground Space Based on Genetic Support Vector Machine. - Xuechen Zhao; Ping Wang 002; Jianchun Xing (ICSCIB, 2018)

An Automatic Matching Model for Chinese Test Questions and Knowledge Points Based on Text Classification. - Yancong Li; Zengzhen Shao; Hongxu Sun; Xuechen Zhao; Yanhui Guo (ISCID (2), 2018)

A Concept Map-Based Learning Paths Automatic Generation Algorithm for Adaptive Learning Systems. - Yancong Li; Zengzhen Shao; Xiao Wang; Xuechen Zhao; Yanhui Guo (IEEE Access, 2019)

Hyperspectral image classification with SVM and guided filter. - Yanhui Guo; Xijie Yin; Xuechen Zhao; Dongxin Yang; Yu Bai 004 (EURASIP J. Wirel. Commun. Netw., 2019)

Research on a new automatic generation algorithm of concept map based on text analysis and association rules mining. - Zengzhen Shao; Yancong Li; Xiao Wang; Xuechen Zhao; Yanhui Guo (J. Ambient Intell. Humaniz. Comput., 2020)

Designing Obstacle Reminder for Safe AR Navigation. - Xinyi Su; Xuechen Zhao; Chong Cao (VRST, 2021)

Cooperative Use of Recurrent Neural Network and Siamese Region Proposal Network for Robust Visual Tracking. - Xuechen Zhao; Yaoming Liu; Guang Han 002 (IEEE Access, 2021)

Method based on the cross-layer attention mechanism and multiscale perception for safety helmet-wearing detection. - Guang Han 002; Mengcheng Zhu; Xuechen Zhao; Hua Gao (Comput. Electr. Eng., 2021)

Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection. - Yushan Jiang; Bin Zhou 004; Xuechen Zhao; Jiaying Zou; Feng Xie 003; Liang Li (ICTAI, 2022)

Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement. - Zhong Zhang; Feng Xie 003; Xuechen Zhao; Bin Zhou 004; Jian Chen; Lei Tian (ICTAI, 2022)

Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning. - Jiaying Zou; Xuechen Zhao; Feng Xie 003; Bin Zhou 004; Zhong Zhang; Lei Tian (ICTAI, 2022)

Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. - Feng Xie 003; Zhong Zhang; Xuechen Zhao; Bin Zhou 004; Yusong Tan (SEKE, 2022)

Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies. - Feng Xie 003; Zhong Zhang; Xuechen Zhao; Jiaying Zou; Bin Zhou 004; Yusong Tan (CoRR, 2022)

Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning. - Xuechen Zhao; Jiaying Zou; Zhong Zhang; Feng Xie 003; Bin Zhou 004; Lei Tian (CoRR, 2022)

Incorporating Mental State into Contrastive Learning for Fine-grained Implicit Hate Speech Classification. - Haiyang Wang; Xin Song; Bin Zhou 004; Xuechen Zhao (CogSci, 2023)

A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning. - Xuechen Zhao; Jiaying Zou; Lei Tian; Feng Xie 003; Haiyang Wang; Hongzhou Wu; Bin Zhou 004; Jie Tian (CogSci, 2023)

Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies. - Feng Xie 003; Zhong Zhang; Xuechen Zhao; Haiyang Wang; Jiaying Zou; Lei Tian; Bin Zhou 004; Yusong Tan (DASFAA (4), 2023)

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching. - Feng Xie 003; Xin Song; Xiang Zeng; Xuechen Zhao; Lei Tian; Bin Zhou 004; Yusong Tan (EMNLP (Findings), 2023)

Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding. - Hongzhou Wu; Yifan Lyu; Xingyu Shen; Xuechen Zhao; Mengzhu Wang; Xiang Zhang 008; Zhigang Luo (ICME, 2023)

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning. - Xuechen Zhao; Jiaying Zou; Zhong Zhang; Feng Xie 003; Bin Zhou 004; Lei Tian (SDM, 2023)

Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset. - Haiyang Wang; Ye Wang 015; Xin Song; Bin Zhou 004; Xuechen Zhao; Feng Xie 003 (World Wide Web (WWW), 2023)

Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training. - Guanlin Li; Xuechen Zhao; Amir Reza Jafari; Wenhao Shao; Reza Farahbakhsh; Noël Crespi (LREC/COLING, 2024)

Learning to Distinguish Entities Overlapping for Open Relation Extraction*. - Changjian Li; Kai Chen; Han Yu; Yinxuan Huang; Xuechen Zhao; Jianfeng Zhang; Aiping Li (DSC, 2024)

F²RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation. - Haiyang Wang; Yuchen Pan; Xin Song; Xuechen Zhao; Minghao Hu; Bin Zhou 004 (EMNLP, 2024)

MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning. - Xuechen Zhao; Lei Tian; Feng Xie 003; Bin Zhou 004; Haiyang Wang; Hongzhou Wu; Liqun Gao (ICASSP, 2024)

Feature Interaction for Temporal Knowledge Graph Extrapolation. - Yinxuan Huang; Chenxi Zhu; Kai Chen; Xuechen Zhao; Liqun Gao; Kai Xiao; Yanyi Huang; Bin Zhou 004 (ICIC (13), 2024)

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. - Wenhao Shao; Praboda Rajapaksha; Noël Crespi; Xuechen Zhao; Mengzhu Wang; Nan Yin; Xinwang Liu 002; Zhigang Luo (Neurocomputing, 2024)

Zero-shot stance detection based on multi-perspective transferable feature fusion. - Xuechen Zhao; Jiaying Zou; Jinfeng Miao; Lei Tian; Liqun Gao; Bin Zhou 004; Shengnan Pang (Inf. Fusion, 2024)

DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks. - Yuying Liao; Le Ma; Bin Zhou 004; Xuechen Zhao; Feng Xie 003 (IEEE Trans. Mob. Comput., 2024)

Unleashing the Power of Decoders: Temporal Knowledge Graph Extrapolation with Householder Transformation. - Fuqiang Yang; Yue Zhang; Xuechen Zhao; Shengnan Pang (Symmetry, 2024)

DPC: Large Model Alignment Method based on Decoding Probability Correction. - Yanyi Huang; Yuying Liu; Lei Tian; Yue Zhang; Xuechen Zhao; Bin Zhou 004; Guodong Ma (ICASSP, 2025)

A temporal knowledge graph reasoning model based on recurrent encoding and contrastive learning. - Weitong Liu; Khairunnisa Hasikin; Anis Salwa Mohd Khairuddin; Meizhen Liu; Xuechen Zhao (PeerJ Comput. Sci., 2025)

CapsuleBD: A Backdoor Attack Method Against Federated Learning Under Heterogeneous Models. - Yuying Liao; Xuechen Zhao; Bin Zhou; Yanyi Huang (IEEE Trans. Inf. Forensics Secur., 2025)

RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models. - Yue Zhang; Zhiliang Tian; Shicheng Zhou; Haiyang Wang; Wenqing Hou; Yuying Liu; Xuechen Zhao; Minlie Huang; Ye Wang 015; Bin Zhou 004 (CoRR, 2025)

NoTNER: self-optimizing text reconstruction for open named entity recognition on social media. - Jinfeng Miao; Yanyi Huang; Yuying Liu; Lei Tian; Xuechen Zhao (J. Supercomput., 2025)