Prediction of Real Popularity based on Sample Debias. - Liang Li; Liqun Gao; Feng Xie 003; Bin Zhou 004 (DSC, 2022)

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)

EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. - Feng Xie 003; Zhong Zhang; Liang Li; Bin Zhou 004; Yusong Tan (ECML/PKDD (6), 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)

Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction. - Xiang Zeng; Xin Song; Yingdan Shang; Feng Xie 003; Bin Zhou 004 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 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)

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)

Improving Knowledge Graph Entity Alignment with Graph Augmentation. - Feng Xie 003; Xiang Zeng; Bin Zhou 004; Yusong Tan (PAKDD (2), 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)

CLARA: citation and similarity-based author ranking. - Hayat Dino Bedru; Chen Zhang; Feng Xie 003; Shuo Yu 001; Iftikhar Hussain (Scientometrics, 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)

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)

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)

RSRule: Relation-level semantic-driven rule learning for explainable extrapolation on temporal knowledge graphs. - Kai Chen; Xiaojuan Zhao; Xin Song; Ye Wang 015; Zhibin Dong; Feng Xie 003; Aiping Li; Yue Han; Changjian Li (Inf. Fusion, 2025)