Ying Wang

68 papers A* 11B 1Journal 42Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic self-supervised learning for social recommendations.
Neurocomputing
Xin He, Wenqi Fan, Ying Wang, Mingchen Sun, Xin Wang
2026 J jnl
DyFiLM: A framework to handle the distribution shifts on dynamic graphs with hypernetworks.
Neural Networks
Fuyuan Ma, Yuhan Wang, Shixuan Ma, Yongzhen Li, Xin Wang, Ying Wang
2026 J jnl
Environment promoted invariant information learning for graph out-of-distribution generalization.
Artif. Intell.
Shuo Wang, Mingchen Sun, Qiang Huang, Ying Wang
2025 J jnl
AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias.
IEEE Trans. Pattern Anal. Mach. Intell.
Yili Wang, Yaohua Liu, Ninghao Liu, Rui Miao, Ying Wang, Xin Wang
2025 J jnl
BATED: Learning fair representation for Pre-trained Language Models via biased teacher-guided disentanglement.
Artif. Intell.
Yingji Li, Mengnan Du, Rui Song, Mu Liu, Ying Wang
2025 J jnl
Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias.
Neural Networks
Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang
2025 A* conf
CrystalICL: Enabling In-Context Learning for Crystal Generation.
EMNLP
Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang
2025 J jnl
CrystalICL: Enabling In-Context Learning for Crystal Generation.
CoRR
Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang
2025 — conf
Generalizable Graph Prompt Learning Framework with Model-level Prompt Injection and Two-Stage Prompt Tuning.
KDD (2)
Mingchen Sun, Jiahui Hou, Yutong Zhang, Yingji Li, Ying Wang
2025 J jnl
Graph Collaborative Filtering Model Combining Time Factor and Attention Mechanism.
J. Artif. Intell. Res.
Xianglin Zuo, Xin He, Tianhao Jia, Ying Wang
2025 B conf
Hypergraph Structure Recommendation Model with Counterfactual Learning.
IEEE Big Data
Xinglin Liu, Yutong Zhang, Youhan Qi, Xin Wang, Ying Wang
2025 A* conf
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.
ICLR
Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang
2024 J jnl
Adaptive Self-supervised Learning for Social Recommendations.
CoRR
Xin He, Shanru Lin, Wenqi Fan, Mingchen Sun, Ying Wang, Xin Wang
2024 — conf
Attention-Based Causal Graph Convolutional Collaborative Filtering.
ADMA (6)
Youhan Qi, Xinglin Liu, Chenyu Li, Ying Wang
2024 J jnl
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias.
CoRR
Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang
2024 — conf
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.
ACL (Findings)
Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang
2024 A* conf
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models.
ICLR
Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024 J jnl
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models.
CoRR
Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024 J jnl
Exploring Multiple Hypergraphs for Heterogeneous Graph Neural Networks.
Expert Syst. Appl.
Ying Wang, Yingji Li, Yue Wu, Xin Wang
2024 J jnl
GPL-GNN: Graph prompt learning for graph neural network.
Knowl. Based Syst.
Zihao Chen, Ying Wang, Fuyuan Ma, Hao Yuan, Xin Wang
2024 A* conf
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment.
EMNLP
Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang
2024 J jnl
Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation.
Artif. Intell.
Yingji Li, Mengnan Du, Rui Song, Xin Wang, Mingchen Sun, Ying Wang
2024 A* conf
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data.
ICML
Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024 J jnl
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data.
CoRR
Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024 J jnl
Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization.
ACM Trans. Knowl. Discov. Data
Mingchen Sun, Yingji Li, Ying Wang, Xin Wang
2024 J jnl
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.
CoRR
Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang
2023 J jnl
A Survey on Fairness in Large Language Models.
CoRR
Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang
2023 J jnl
Exploring graph capsual network and graphormer for graph classification.
Inf. Sci.
Xianglin Zuo, Hao Yuan, Bo Yang, Hongji Wang, Ying Wang
2023 J jnl
Generating real-world hypergraphs via deep generative models.
Inf. Sci.
Xianglin Zuo, Wenqi Chen, Song Xianduo, Xin Wang, Ying Wang
2023 — conf
LAGCL: Towards Stable and Automated Graph Contrastive Learning.
ADMA (3)
Hengrui Gu, Ying Wang, Xin Wang
2023 J jnl
Learning continuous dynamic network representation with transformer-based temporal graph neural network.
Inf. Sci.
Yingji Li, Yue Wu, Mingchen Sun, Bo Yang, Ying Wang
2023 — conf
Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF.
BIBM
Qifeng Lou, Shutong Wang, Jiahao Chen, Dongmei Mu, Ying Wang, Lili Huang
2023 — conf
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.
ACL (1)
Yingji Li, Mengnan Du, Xin Wang, Ying Wang
2023 J jnl
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases.
CoRR
Yingji Li, Mengnan Du, Xin Wang, Ying Wang
2023 J jnl
Structural-aware motif-based prompt tuning for graph clustering.
Inf. Sci.
Mingchen Sun, Mengduo Yang, Yingji Li, Dongmei Mu, Xin Wang, Ying Wang
2022 — conf
Adversarial Training on Weights for Graph Neural Networks.
ACAI
Haotian Xue, Xin Wang, Ying Wang
2022 — conf
AutoAUG : Automatic Data Augmentation for Graph Neural Networks.
ACAI
Xiao Liang, Xin Wang, Haotian Xue, Yintao Yang, Xin Juan, Ying Wang
2022 J jnl
Exploiting Dual-Attention Networks for Explainable Recommendation in Heterogeneous Information Networks.
Entropy
Xianglin Zuo, Tianhao Jia, Xin He, Bo Yang, Ying Wang
2022 A* conf
GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks.
KDD
Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang
2022 J jnl
Hierarchical recurrent neural networks for graph generation.
Inf. Sci.
Song Xianduo, Xin Wang, Yuyuan Song, Xianglin Zuo, Ying Wang
2022 J jnl
Negative samples selecting strategy for graph contrastive learning.
Inf. Sci.
Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang
2021 J jnl
Exploring graph capsual network for graph classification.
Inf. Sci.
Ying Wang, Hongji Wang, Hui Jin, Xinrui Huang, Xin Wang
2021 A* conf
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion.
WWW
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang
2021 J jnl
TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network.
Inf. Sci.
Siyuan Guo, Ying Wang, Hao Yuan, Zeyu Huang, Jianwei Chen, Xin Wang
2020 A* conf
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation.
AAAI
Xin Wang, Ying Wang, Yunzhi Ling
2020 J jnl
Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations.
IEEE Access
Yunzhi Ling, Ying Wang, Xin Wang, Yunhao Ling
2019 — conf
Explanation Chains Model Based on the Fine-Grained Data.
NLPCC (2)
Fuyuan Ma, Wenqi Chen, Min-Hao Xiao, Xin Wang, Ying Wang
2019 A* conf
Learning Network Embedding with Community Structural Information.
IJCAI
Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang
2019 — conf
Research on Opinion Spam Detection by Time Series Anomaly Detection.
ICAIS (1)
Ye Wang, Wanli Zuo, Ying Wang
2017 J jnl
Building trust networks in the absence of trust relations.
Frontiers Inf. Technol. Electron. Eng.
Xin Wang, Ying Wang, Jianhua Guo
2016 J jnl
An improved density peaks-based clustering method for social circle discovery in social networks.
Neurocomputing
Mengmeng Wang, Wanli Zuo, Ying Wang
2016 J jnl
Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust.
Comput. Intell. Neurosci.
Xin Wang, Ying Wang, Hongbin Sun
2015 J jnl
A Multilayer Naïve Bayes Model for Analyzing User's Retweeting Sentiment Tendency.
Comput. Intell. Neurosci.
Mengmeng Wang, Wanli Zuo, Ying Wang
2015 J jnl
A fuzzy document clustering approach based on domain-specified ontology.
Data Knowl. Eng.
Lin Yue, Wanli Zuo, Tao Peng, Ying Wang, Xuming Han
2015 A* conf
Exploring Social Context for Topic Identification in Short and Noisy Texts.
AAAI
Xin Wang, Ying Wang, Wanli Zuo, Guoyong Cai
2015 A* conf
Modeling Status Theory in Trust Prediction.
AAAI
Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai
2015 J jnl
Predicting Trust Relationships in Social Networks Based on WKNN.
J. Softw.
Qiuyue Zhao, Wanli Zuo, Zhongsheng Tian, Xin Wang, Ying Wang
2015 J jnl
Research on Trust Prediction from a Sociological Perspective.
J. Comput. Sci. Technol.
Ying Wang, Xin Wang, Wanli Zuo
2015 J jnl
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).
计算机科学
Wanli Zuo, Jiayu Han, Lu Liu, Ying Wang, Tao Peng
2015 J jnl
面向网页的主题概念挖掘 (Topic Concept Discovery for Web Pages).
计算机科学
Qiongqiong Liu, Wanli Zuo, Ying Wang
2013 — conf
Microblog Comments Sentiment Analysis Based on Extended Emotional Lexicon.
ICICA (1)
Xu-Ming Wang, Wanli Zuo, Ying Wang, Xianglin Zuo
2012 J jnl
A Novel Combine Forecasting Method for Predicting News Update Time.
J. Softw.
Mengmeng Wang, Xianglin Zuo, Wanli Zuo, Ying Wang
2012 J jnl
Research on Web Query Translation based on Ontology.
J. Softw.
Xin Wang, Ying Wang
2011 J jnl
Data extraction and annotation based on domain-specific ontology evolution for deep web.
Comput. Sci. Inf. Syst.
Kerui Chen, Wanli Zuo, Fengling He, Yongheng Chen, Ying Wang
2011 J jnl
Research on discovering deep web entries.
Comput. Sci. Inf. Syst.
Ying Wang, Huilai Li, Wanli Zuo, Fengling He, Xin Wang, Kerui Chen
2009 — conf
Automatic Deep Web Query Results Extraction Based on Tag Trees.
ISCID (2)
Ying Xie, Wanli Zuo, Fengling He, Ying Wang
2008 — conf
Domain-Specific Deep Web Sources Discovery.
ICNC (5)
Ying Wang, Wanli Zuo, Tao Peng, Fengling He
2008 — conf
Integration of Query Interfaces for Deep Web Databases.
ICNC (4)
Ying Wang, Wanli Zuo, Tao Peng, Fengling He