Ho-Fung Leung
Affiliations: | The Chinese University of Hong Kong, Hong Kong, Hong Kong |
Area:
Computer ScienceGoogle:
"Ho-Fung Leung"
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Zhu C, Leung H, Hu S, et al. (2021) A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint Acm Transactions On Autonomous and Adaptive Systems. 15: 1-28 |
Tan X, Cai Y, Xu J, et al. (2020) Improving aspect-based sentiment analysis via aligning aspect embedding Neurocomputing. 383: 336-347 |
Xu J, Cai Y, Wu X, et al. (2020) Incorporating context-relevant concepts into convolutional neural networks for short text classification Neurocomputing. 386: 42-53 |
Yang K, Cai Y, Leung H, et al. (2019) ITWF: A framework to apply term weighting schemes in topic model Neurocomputing. 350: 248-260 |
Wang X, Ji S, Liang Y, et al. (2019) An unsupervised strategy for defending against multifarious reputation attacks Applied Intelligence. 49: 4189-4210 |
Ji S, Ma H, Liang Y, et al. (2018) Correction to: A whitelist and blacklist-based co-evolutionary strategy for defensing against multifarious trust attacks Applied Intelligence. 48: 1891-1891 |
Chan C, Hao J, Leung H. (2017) Reciprocal Social Strategy in Social Repeated Games and Emergence of Social Norms International Journal On Artificial Intelligence Tools. 26: 1760007 |
Hao J, Huang D, Cai Y, et al. (2017) The dynamics of reinforcement social learning in networked cooperative multiagent systems Engineering Applications of Artificial Intelligence. 58: 111-122 |
Ji S, Ma H, Liang Y, et al. (2017) A whitelist and blacklist-based co-evolutionary strategy for defensing against multifarious trust attacks Applied Intelligence. 47: 1115-1131 |
Chan CK, Hao J, Leung HF. (2016) Reciprocal social strategy in social repeated games Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2016: 966-973 |