Screenagent: A vision language model-driven computer control agent R Niu, J Li, S Wang, Y Fu, X Hu, X Leng, H Kong, Y Chang, Q Wang arXiv preprint arXiv:2402.07945, 2024 | 24 | 2024 |
C-DeepTrust: A context-aware deep trust prediction model in online social networks Q Wang, W Zhao, J Yang, J Wu, S Xue, Q Xing, SY Philip IEEE Transactions on neural networks and learning systems 34 (6), 2767-2780, 2021 | 22 | 2021 |
Atne-trust: Attributed trust network embedding for trust prediction in online social networks Q Wang, W Zhao, J Yang, J Wu, C Zhou, Q Xing 2020 IEEE International Conference on Data Mining (ICDM), 601-610, 2020 | 18 | 2020 |
Deeptrust: A deep user model of homophily effect for trust prediction Q Wang, W Zhao, J Yang, J Wu, W Hu, Q Xing 2019 IEEE International Conference on Data Mining (ICDM), 618-627, 2019 | 18 | 2019 |
AttExplainer: Explain Transformer via Attention by Reinforcement Learning. R Niu, Z Wei, Y Wang, Q Wang IJCAI, 724-731, 2022 | 7 | 2022 |
Cvtgad: simplified transformer with cross-view attention for unsupervised graph-level anomaly detection J Li, Q Xing, Q Wang, Y Chang Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 6 | 2023 |
Towards next-generation llm-based recommender systems: A survey and beyond Q Wang, J Li, S Wang, Q Xing, R Niu, H Kong, R Li, G Long, Y Chang, ... arXiv preprint arXiv:2410.19744, 2024 | 5 | 2024 |
Groexpert: A novel group-aware experts identification approach in crowdsourcing Q Xing, W Zhao, J Yang, J Wu, Q Wang, M Wang Web Information Systems Engineering–WISE 2019: 20th International Conference …, 2019 | 5 | 2019 |
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection R Cao, S Xue, J Li, Q Wang, Y Chang arXiv preprint arXiv:2407.00383, 2024 | 1 | 2024 |
Dual contrastive learning for anomaly detection in attributed networks S Xue, H Kong, Q Wang International Conference on Intelligent Information Processing, 3-18, 2024 | 1 | 2024 |
Exploring Entity-level User Preference on the Knowledge Graph for Recommender System P Chen, Q Wang, Y Tian Proceedings of the 2022 5th International Conference on Algorithms …, 2022 | 1 | 2022 |
TWLR: A novel truth inference approach based on worker representations for crowdsourcing in the low redundancy situation Q Xing, W Zhao, J Yang, J Wu, Q Wang 2021 IEEE International Conference on Web Services (ICWS), 79-86, 2021 | 1 | 2021 |
Pb-worker: A novel participating behavior-based worker ability model for general tasks on crowdsourcing platforms Q Xing, W Zhao, J Yang, J Wu, Q Wang 2020 IEEE International Conference on Web Services (ICWS), 37-44, 2020 | 1 | 2020 |
Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation Y Li, J Li, Q Wang, M Yang, H Kong, S Wang arXiv preprint arXiv:2501.18653, 2025 | | 2025 |
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection Y Fu, J Li, J Liu, Q Xing, Q Wang, I King arXiv preprint arXiv:2407.02057, 2024 | | 2024 |
Guiding transformer to generate graph structure for AMR parsing R Niu, Q Wang International Conference on Neural Networks, Information, and Communication …, 2022 | | 2022 |
WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms Q Xing, W Zhao, J Yang, J Wu, Q Wang 2021 IEEE International Conference on Web Services (ICWS), 161-166, 2021 | | 2021 |
No Fear of Representation Bias Graph Contrastive Learning with Calibration and Fusion J Li, Y Liu, Q Xing, Q Wang, S Pan Available at SSRN 4774833, 0 | | |