| Self-supervised graph learning for recommendation J Wu, X Wang, F Feng, X He, L Chen, J Lian, X Xie Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 1059 | 2021 |
| Learning semantic representations for unsupervised domain adaptation S Xie, Z Zheng, L Chen, C Chen International conference on machine learning, 5423-5432, 2018 | 596 | 2018 |
| Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering J Wu, L Chen, Y Feng, Z Zheng, MC Zhou, Z Wu IEEE, 0 | 263 | |
| A service computing manifesto: the next 10 years A Bouguettaya, M Singh, M Huhns, QZ Sheng, H Dong, Q Yu, AG Neiat, ... Communications of the ACM 60 (4), 64-72, 2017 | 249 | 2017 |
| Interactive path reasoning on graph for conversational recommendation W Lei, G Zhang, X He, Y Miao, X Wang, L Chen, TS Chua Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 245 | 2020 |
| AutoDebias: Learning to debias for recommendation J Chen, H Dong, Y Qiu, X He, X Xin, L Chen, G Lin, K Yang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 167 | 2021 |
| Phishing scams detection in ethereum transaction network L Chen, J Peng, Y Liu, J Li, F Xie, Z Zheng ACM Transactions on Internet Technology (TOIT) 21 (1), 1-16, 2020 | 162 | 2020 |
| Clustering web services to facilitate service discovery J Wu, L Chen, Z Zheng, MR Lyu, Z Wu Knowledge and information systems 38, 207-229, 2014 | 155 | 2014 |
| WT-LDA: user tagging augmented LDA for web service clustering L Chen, Y Wang, Q Yu, Z Zheng, J Wu Service-Oriented Computing: 11th International Conference, ICSOC 2013 …, 2013 | 152 | 2013 |
| Matching user with item set: Collaborative bundle recommendation with deep attention network. L Chen, Y Liu, X He, L Gao, Z Zheng IJCAI, 2095-2101, 2019 | 129 | 2019 |
| Wtcluster: Utilizing tags for web services clustering L Chen, L Hu, Z Zheng, J Wu, J Yin, Y Li, S Deng Service-Oriented Computing: 9th International Conference, ICSOC 2011, Paphos …, 2011 | 119 | 2011 |
| DGCN: Diversified recommendation with graph convolutional networks Y Zheng, C Gao, L Chen, D Jin, Y Li Proceedings of the Web Conference 2021, 401-412, 2021 | 115 | 2021 |
| Aim 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 106 | 2020 |
| A survey of adversarial learning on graphs L Chen, J Li, J Peng, T Xie, Z Cao, K Xu, X He, Z Zheng, B Wu arXiv preprint arXiv:2003.05730, 2020 | 103 | 2020 |
| Collaborative deep ranking: A hybrid pair-wise recommendation algorithm with implicit feedback H Ying, L Chen, Y Xiong, J Wu Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 92 | 2016 |
| What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders J Li, R Wu, W Sun, L Chen, S Tian, L Zhu, C Meng, Z Zheng, W Wang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 84* | 2023 |
| Modelling high-order social relations for item recommendation Y Liu, L Chen, X He, J Peng, Z Zheng, J Tang IEEE Transactions on Knowledge and Data Engineering 34 (9), 4385-4397, 2020 | 83 | 2020 |
| Adversarial attack on large scale graph J Li, T Xie, L Chen, F Xie, X He, Z Zheng IEEE Transactions on Knowledge and Data Engineering 35 (1), 82-95, 2021 | 77 | 2021 |
| Personalized bundle recommendation in online games Q Deng, K Wang, M Zhao, Z Zou, R Wu, J Tao, C Fan, L Chen Proceedings of the 29th ACM International Conference on Information …, 2020 | 71 | 2020 |
| Real-time fault detection for IIoT facilities using GBRBM-based DNN H Huang, S Ding, L Zhao, H Huang, L Chen, H Gao, SH Ahmed IEEE Internet of Things Journal 7 (7), 5713-5722, 2019 | 66 | 2019 |
Jian Wu (吴健)Zhejiang UniversityVerified email at zju.edu.cn
