Integration of Query Interfaces for Deep Web Databases. - Ying Wang 009; Wanli Zuo; Tao Peng 003; Fengling He (ICNC (4), 2008)

Domain-Specific Deep Web Sources Discovery. - Ying Wang 009; Wanli Zuo; Tao Peng 003; Fengling He (ICNC (5), 2008)

Automatic Deep Web Query Results Extraction Based on Tag Trees. - Ying Xie; Wanli Zuo; Fengling He; Ying Wang 009 (ISCID (2), 2009)

Data extraction and annotation based on domain-specific ontology evolution for deep web. - Kerui Chen; Wanli Zuo; Fengling He; Yongheng Chen; Ying Wang 009 (Comput. Sci. Inf. Syst., 2011)

Research on discovering deep web entries. - Ying Wang 009; Huilai Li; Wanli Zuo; Fengling He; Xin Wang 035; Kerui Chen (Comput. Sci. Inf. Syst., 2011)

Research on Web Query Translation based on Ontology. - Xin Wang 035; Ying Wang 009 (J. Softw., 2012)

A Novel Combine Forecasting Method for Predicting News Update Time. - Mengmeng Wang; Xianglin Zuo; Wanli Zuo; Ying Wang 009 (J. Softw., 2012)

Microblog Comments Sentiment Analysis Based on Extended Emotional Lexicon. - Xu-Ming Wang; Wanli Zuo; Ying Wang 009; Xianglin Zuo (ICICA (1), 2013)

Modeling Status Theory in Trust Prediction. - Ying Wang 009; Xin Wang 035; Jiliang Tang; Wanli Zuo; Guoyong Cai (AAAI, 2015)

Exploring Social Context for Topic Identification in Short and Noisy Texts. - Xin Wang 035; Ying Wang 009; Wanli Zuo; Guoyong Cai (AAAI, 2015)

A Multilayer Naïve Bayes Model for Analyzing User's Retweeting Sentiment Tendency. - Mengmeng Wang; Wanli Zuo; Ying Wang 009 (Comput. Intell. Neurosci., 2015)

A fuzzy document clustering approach based on domain-specified ontology. - Lin Yue; Wanli Zuo; Tao Peng 003; Ying Wang 009; Xuming Han (Data Knowl. Eng., 2015)

Research on Trust Prediction from a Sociological Perspective. - Ying Wang 009; Xin Wang 035; Wanli Zuo (J. Comput. Sci. Technol., 2015)

面向网页的主题概念挖掘 (Topic Concept Discovery for Web Pages). - Qiongqiong Liu; Wanli Zuo; Ying Wang 009 (计算机科学, 2015)

基于人工免疫算法的增量式用户兴趣挖掘 (Incremental User Interest Mining Based on Artificial Immune Algorithm). - Wanli Zuo; Jiayu Han; Lu Liu 013; Ying Wang 009; Tao Peng 003 (计算机科学, 2015)

Predicting Trust Relationships in Social Networks Based on WKNN. - Qiuyue Zhao; Wanli Zuo; Zhongsheng Tian; Xin Wang 035; Ying Wang 009 (J. Softw., 2015)

Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. - Xin Wang 035; Ying Wang 009; Hongbin Sun (Comput. Intell. Neurosci., 2016)

An improved density peaks-based clustering method for social circle discovery in social networks. - Mengmeng Wang; Wanli Zuo; Ying Wang 009 (Neurocomputing, 2016)

Building trust networks in the absence of trust relations. - Xin Wang 035; Ying Wang 009; Jianhua Guo 005 (Frontiers Inf. Technol. Electron. Eng., 2017)

Research on Opinion Spam Detection by Time Series Anomaly Detection. - Ye Wang; Wanli Zuo; Ying Wang 009 (ICAIS (1), 2019)

Learning Network Embedding with Community Structural Information. - Yu Li 022; Ying Wang 009; Tingting Zhang; Jiawei Zhang 001; Yi Chang 001 (IJCAI, 2019)

Explanation Chains Model Based on the Fine-Grained Data. - Fuyuan Ma; Wenqi Chen; Min-Hao Xiao; Xin Wang 035; Ying Wang 009 (NLPCC (2), 2019)

Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation. - Xin Wang 035; Ying Wang 009; Yunzhi Ling (AAAI, 2020)

Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations. - Yunzhi Ling; Ying Wang 009; Xin Wang 035; Yunhao Ling (IEEE Access, 2020)

Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. - Bo Wang 069; Tao Shen 001; Guodong Long; Tianyi Zhou 001; Ying Wang 009; Yi Chang 001 (WWW, 2021)

TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network. - Siyuan Guo; Ying Wang 009; Hao Yuan; Zeyu Huang; Jianwei Chen; Xin Wang 035 (Inf. Sci., 2021)

Exploring graph capsual network for graph classification. - Ying Wang 009; Hongji Wang; Hui Jin; Xinrui Huang; Xin Wang 035 (Inf. Sci., 2021)

AutoAUG : Automatic Data Augmentation for Graph Neural Networks. - Xiao Liang; Xin Wang 035; Haotian Xue 001; Yintao Yang; Xin Juan; Ying Wang 009 (ACAI, 2022)

Adversarial Training on Weights for Graph Neural Networks. - Haotian Xue 001; Xin Wang 035; Ying Wang 009 (ACAI, 2022)

GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks. - Mingchen Sun; Kaixiong Zhou; Xin He 003; Ying Wang 009; Xin Wang 035 (KDD, 2022)

Negative samples selecting strategy for graph contrastive learning. - Rui Miao 003; Yintao Yang; Yao Ma 001; Xin Juan; Haotian Xue 001; Jiliang Tang; Ying Wang 009; Xin Wang 035 (Inf. Sci., 2022)

Hierarchical recurrent neural networks for graph generation. - Song Xianduo; Xin Wang 035; Yuyuan Song; Xianglin Zuo; Ying Wang 009 (Inf. Sci., 2022)

Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks. - Xianglin Zuo; Tianhao Jia; Xin He 003; Bo Yang; Ying Wang 009 (Entropy, 2022)

Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. - Yingji Li; Mengnan Du; Xin Wang 035; Ying Wang 009 (ACL (1), 2023)

LAGCL: Towards Stable and Automated Graph Contrastive Learning. - Hengrui Gu 002; Ying Wang 009; Xin Wang 035 (ADMA (3), 2023)

Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF. - Qifeng Lou; Shutong Wang; Jiahao Chen; Dongmei Mu; Ying Wang 009; Lili Huang (BIBM, 2023)

A Survey on Fairness in Large Language Models. - Yingji Li; Mengnan Du; Rui Song 008; Xin Wang 035; Ying Wang 009 (CoRR, 2023)

Exploring graph capsual network and graphormer for graph classification. - Xianglin Zuo; Hao Yuan; Bo Yang; Hongji Wang; Ying Wang 009 (Inf. Sci., 2023)

Learning continuous dynamic network representation with transformer-based temporal graph neural network. - Yingji Li; Yue Wu; Mingchen Sun; Bo Yang; Ying Wang 009 (Inf. Sci., 2023)

Structural-aware motif-based prompt tuning for graph clustering. - Mingchen Sun; Mengduo Yang; Yingji Li; Dongmei Mu; Xin Wang 035; Ying Wang 009 (Inf. Sci., 2023)

Generating real-world hypergraphs via deep generative models. - Xianglin Zuo; Wenqi Chen; Song Xianduo; Xin Wang 035; Ying Wang 009 (Inf. Sci., 2023)

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models. - Yingji Li; Mengnan Du; Rui Song 008; Xin Wang 035; Ying Wang 009 (ACL (Findings), 2024)

Attention-Based Causal Graph Convolutional Collaborative Filtering. - Youhan Qi; Xinglin Liu; Chenyu Li; Ying Wang 009 (ADMA (6), 2024)

Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment. - Yiwei Dai; Hengrui Gu 002; Ying Wang 009; Xin Wang 035 (EMNLP, 2024)

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. - Yili Wang 004; Kaixiong Zhou; Ninghao Liu; Ying Wang 009; Xin Wang 035 (ICLR, 2024)

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. - Rui Miao 003; Kaixiong Zhou; Yili Wang 004; Ninghao Liu; Ying Wang 009; Xin Wang 035 (ICML, 2024)

Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation. - Yingji Li; Mengnan Du; Rui Song 008; Xin Wang 035; Mingchen Sun; Ying Wang 009 (Artif. Intell., 2024)

Adaptive Self-supervised Learning for Social Recommendations. - Xin He 003; Shanru Lin; Wenqi Fan; Mingchen Sun; Ying Wang 009; Xin Wang 035 (CoRR, 2024)

GPL-GNN: Graph prompt learning for graph neural network. - Zihao Chen; Ying Wang 009; Fuyuan Ma; Hao Yuan; Xin Wang 035 (Knowl. Based Syst., 2024)

Exploring Multiple Hypergraphs for Heterogeneous Graph Neural Networks. - Ying Wang 009; Yingji Li; Yue Wu; Xin Wang 035 (Expert Syst. Appl., 2024)

Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization. - Mingchen Sun; Yingji Li; Ying Wang 009; Xin Wang 035 (ACM Trans. Knowl. Discov. Data, 2024)

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. - Yili Wang 004; Yixin Liu 001; Xu Shen 002; Chenyu Li; Rui Miao 003; Kaize Ding; Ying Wang 009; Shirui Pan; Xin Wang 035 (ICLR, 2025)

BATED: Learning fair representation for Pre-trained Language Models via biased teacher-guided disentanglement. - Yingji Li; Mengnan Du; Rui Song 008; Mu Liu; Ying Wang 009 (Artif. Intell., 2025)

Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias. - Xin He 003; Wenqi Fan; Ruobing Wang 003; Yili Wang 004; Ying Wang 009; Shirui Pan; Xin Wang 035 (Neural Networks, 2025)

AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias. - Yili Wang 004; Yaohua Liu; Ninghao Liu; Rui Miao 003; Ying Wang 009; Xin Wang 035 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)