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Qi Wang
Qi Wang
Подтвержден адрес электронной почты в домене students.mq.edu.au
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Процитировано
Процитировано
Год
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
242024
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
222021
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
182020
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
182019
AttExplainer: Explain Transformer via Attention by Reinforcement Learning.
R Niu, Z Wei, Y Wang, Q Wang
IJCAI, 724-731, 2022
72022
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
62023
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
52024
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
52019
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
12024
Dual contrastive learning for anomaly detection in attributed networks
S Xue, H Kong, Q Wang
International Conference on Intelligent Information Processing, 3-18, 2024
12024
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
12022
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
12021
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
12020
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
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