Hao Wang
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Motif-based graph self-supervised learning for molecular property prediction
Z Zhang, Q Liu, H Wang, C Lu, CK Lee
Advances in Neural Information Processing Systems 34, 15870-15882, 2021
A survey on large language models for recommendation
L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ...
arXiv preprint arXiv:2305.19860, 2023
ASGN: An active semi-supervised graph neural network for molecular property prediction
Z Hao, C Lu, Z Huang, H Wang, Z Hu, Q Liu, E Chen, C Lee
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
MCNE: An end-to-end framework for learning multiple conditional network representations of social network
H Wang, T Xu, Q Liu, D Lian, E Chen, D Du, H Wu, W Su
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
Protgnn: Towards self-explaining graph neural networks
Z Zhang, Q Liu, H Wang, C Lu, C Lee
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9127-9135, 2022
Hierarchical personalized federated learning for user modeling
J Wu, Q Liu, Z Huang, Y Ning, H Wang, E Chen, J Yi, B Zhou
Proceedings of the Web Conference 2021, 957-968, 2021
Woodpecker: Hallucination correction for multimodal large language models
S Yin, C Fu, S Zhao, T Xu, H Wang, D Sui, Y Shen, K Li, X Sun, E Chen
arXiv preprint arXiv:2310.16045, 2023
Graphmi: Extracting private graph data from graph neural networks
Z Zhang, Q Liu, Z Huang, H Wang, C Lu, C Liu, E Chen
arXiv preprint arXiv:2106.02820, 2021
Hms: A hierarchical solver with dependency-enhanced understanding for math word problem
X Lin, Z Huang, H Zhao, E Chen, Q Liu, H Wang, S Wang
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4232-4240, 2021
Federated unlearning for on-device recommendation
W Yuan, H Yin, F Wu, S Zhang, T He, H Wang
Proceedings of the sixteenth ACM international conference on web search and …, 2023
Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation
H Wang, D Lian, H Tong, Q Liu, Z Huang, E Chen
ACM Transactions on Information Systems (TOIS) 40 (2), 1-28, 2021
A united approach to learning sparse attributed network embedding
H Wang, E Chen, Q Liu, T Xu, D Du, W Su, X Zhang
2018 IEEE International Conference on Data Mining (ICDM), 557-566, 2018
ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition
S Zhao, H Tang, S Liu, Y Zhang, H Wang, T Xu, E Chen, C Guan
Neural networks 153, 427-443, 2022
Disenqnet: Disentangled representation learning for educational questions
Z Huang, X Lin, H Wang, Q Liu, E Chen, J Ma, Y Su, W Tong
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Model inversion attacks against graph neural networks
Z Zhang, Q Liu, Z Huang, H Wang, CK Lee, E Chen
IEEE Transactions on Knowledge and Data Engineering 35 (9), 8729-8741, 2022
Neural mathematical solver with enhanced formula structure
Z Huang, Q Liu, W Gao, J Wu, Y Yin, H Wang, E Chen
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Patent quality valuation with deep learning models
H Lin, H Wang, D Du, H Wu, B Chang, E Chen
Database Systems for Advanced Applications: 23rd International Conference …, 2018
Solving link-oriented tasks in signed network via an embedding approach
D Du, H Wang, T Xu, Y Lu, Q Liu, E Chen
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 75-80, 2017
Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis
W Gao, H Wang, Q Liu, F Wang, X Lin, L Yue, Z Zhang, R Lv, S Wang
Proceedings of the 46th international ACM SIGIR conference on research and …, 2023
Federated deep knowledge tracing
J Wu, Z Huang, Q Liu, D Lian, H Wang, E Chen, H Ma, S Wang
Proceedings of the 14th ACM international conference on web search and data …, 2021
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