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Meng Jiang
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Data augmentation for graph neural networks
T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11015 …, 2021
4462021
Automated phrase mining from massive text corpora
J Shang, J Liu, M Jiang, X Ren, CR Voss, J Han
IEEE Transactions on Knowledge and Data Engineering 30 (10), 1825-1837, 2018
4012018
Social contextual recommendation
M Jiang, P Cui, R Liu, Q Yang, F Wang, W Zhu, S Yang
Proceedings of the 21st ACM international conference on Information and …, 2012
3852012
Mining topic-level influence in heterogeneous networks
L Liu, J Tang, J Han, M Jiang, S Yang
Proceedings of the 19th ACM international conference on Information and …, 2010
3552010
A survey of knowledge-enhanced text generation
W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang
ACM Computing Surveys, 2022
2962022
Generate rather than retrieve: Large language models are strong context generators
W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang
arXiv preprint arXiv:2209.10063, 2022
2542022
Few-shot knowledge graph completion
C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla
Proceedings of the AAAI conference on artificial intelligence 34 (03), 3041-3048, 2020
2312020
Trustllm: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
arXiv preprint arXiv:2401.05561, 2024
2272024
Catchsync: catching synchronized behavior in large directed graphs
M Jiang, P Cui, A Beutel, C Faloutsos, S Yang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2192014
Scalable recommendation with social contextual information
M Jiang, P Cui, F Wang, W Zhu, S Yang
IEEE Transactions on Knowledge and Data Engineering 26 (11), 2789-2802, 2014
2192014
Enhancing factual consistency of abstractive summarization
C Zhu, W Hinthorn, R Xu, Q Zeng, M Zeng, X Huang, M Jiang
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
208*2021
Artificial intelligence based smart energy community management: A reinforcement learning approach
S Zhou, Z Hu, W Gu, M Jiang, XP Zhang
CSEE Journal of Power and Energy Systems 5 (1), 1-10, 2019
2042019
Graph few-shot learning via knowledge transfer
H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, N Chawla, Z Li
Proceedings of the AAAI conference on artificial intelligence 34 (04), 6656-6663, 2020
1882020
Few-shot graph learning for molecular property prediction
Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla
Proceedings of the web conference 2021, 2559-2567, 2021
1702021
Suspicious behavior detection: Current trends and future directions
M Jiang, P Cui, F Christos
IEEE Intelligent Systems 31 (1), 31-39, 2016
1642016
Social recommendation with cross-domain transferable knowledge
M Jiang, P Cui, X Chen, F Wang, W Zhu, S Yang
IEEE transactions on knowledge and data engineering 27 (11), 3084-3097, 2015
1432015
Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering
C Zhang, F Tao, X Chen, J Shen, M Jiang, B Sadler, M Vanni, J Han
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
142*2018
Combined heat and power system intelligent economic dispatch: A deep reinforcement learning approach
S Zhou, Z Hu, W Gu, M Jiang, M Chen, Q Hong, C Booth
International journal of electrical power & energy systems 120, 106016, 2020
1362020
A survey on data-driven network intrusion detection
D Chou, M Jiang
ACM Computing Surveys (CSUR) 54 (9), 1-36, 2021
135*2021
Traceability transformed: Generating more accurate links with pre-trained bert models
J Lin, Y Liu, Q Zeng, M Jiang, J Cleland-Huang
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
1222021
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