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2020

Journal Article

Enhance social recommendation with adversarial graph convolutional networks

Yu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi and Cui, Lizhen (2020). Enhance social recommendation with adversarial graph convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (8), 1-1. doi: 10.1109/tkde.2020.3033673

Enhance social recommendation with adversarial graph convolutional networks

2020

Journal Article

CRSAL: conversational recommender systems with adversarial learning

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Hung, Nguyen Quoc Viet, Huang, Zi and Zhang, Xiangliang (2020). CRSAL: conversational recommender systems with adversarial learning. ACM Transactions on Information Systems, 38 (4) 3394592, 1-40. doi: 10.1145/3394592

CRSAL: conversational recommender systems with adversarial learning

2020

Journal Article

Semantic trajectory representation and retrieval via hierarchical embedding

Gao, Chongming, Zhang, Zhong, Huang, Chen, Yin, Hongzhi, Yang, Qinli and Shao, Junming (2020). Semantic trajectory representation and retrieval via hierarchical embedding. Information Sciences, 538, 176-192. doi: 10.1016/j.ins.2020.05.107

Semantic trajectory representation and retrieval via hierarchical embedding

2020

Journal Article

Deep pairwise hashing for cold-start recommendation

Zhang, Yan, Tsang, Ivor, Yin, Hongzhi, Yang, Guowu, Lian, Defu and Li, Jingjing (2020). Deep pairwise hashing for cold-start recommendation. IEEE Transactions on Knowledge and Data Engineering, 34 (7), 1-1. doi: 10.1109/tkde.2020.3024022

Deep pairwise hashing for cold-start recommendation

2020

Journal Article

Overcoming data sparsity in group recommendation

Yin, Hongzhi, Wang, Qinyong, Zheng, Kai, Li, Zhixu and Zhou, Xiaofang (2020). Overcoming data sparsity in group recommendation. IEEE Transactions on Knowledge and Data Engineering, 34 (7), 1-1. doi: 10.1109/tkde.2020.3023787

Overcoming data sparsity in group recommendation

2020

Journal Article

User account linkage across multiple platforms with location data

Chen, Wei, Wang, Weiqing, Yin, Hongzhi, Fang, Jun-Hua and Zhao, Lei (2020). User account linkage across multiple platforms with location data. Journal of Computer Science and Technology, 35 (4), 751-768. doi: 10.1007/s11390-020-0250-7

User account linkage across multiple platforms with location data

2020

Journal Article

TEAGS: time-aware text embedding approach to generate subgraphs

Hosseini, Saeid, Najafipour, Saeed, Cheung, Ngai-Man, Yin, Hongzhi, Kangavari, Mohammad Reza and Zhou, Xiaofang (2020). TEAGS: time-aware text embedding approach to generate subgraphs. Data Mining and Knowledge Discovery, 34 (4), 1136-1174. doi: 10.1007/s10618-020-00688-7

TEAGS: time-aware text embedding approach to generate subgraphs

2020

Journal Article

Extracting representative user subset of social networks towards user characteristics and topological features

Zhou, Yiming, Han, Yuehui, Liu, An, Li, Zhixu, Yin, Hongzhi, Chen, Wei and Zhao, Lei (2020). Extracting representative user subset of social networks towards user characteristics and topological features. World Wide Web, 23 (5), 2903-2931. doi: 10.1007/s11280-020-00828-5

Extracting representative user subset of social networks towards user characteristics and topological features

2020

Journal Article

Exploiting cross-session information for session-based recommendation with graph neural networks

Qiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764

Exploiting cross-session information for session-based recommendation with graph neural networks

2020

Journal Article

Social boosted recommendation with folded bipartite network embedding

Chen, Hongxu, Yin, Hongzhi, Chen, Tong, Wang, Weiqing, Li, Xue and Hu, Xia (2020). Social boosted recommendation with folded bipartite network embedding. IEEE Transactions on Knowledge and Data Engineering, 34 (2), 914-926. doi: 10.1109/tkde.2020.2982878

Social boosted recommendation with folded bipartite network embedding

2020

Journal Article

Group-based recurrent neural networks for POI recommendation

Li, Guohui, Chen, Qi, Zheng, Bolong, Yin, Hongzhi, Nguyen, Quoc Viet Hung and Zhou, Xiaofang (2020). Group-based recurrent neural networks for POI recommendation. ACM/IMS Transactions on Data Science, 1 (1) 3, 1-18. doi: 10.1145/3343037

Group-based recurrent neural networks for POI recommendation

2020

Journal Article

Cluster query: a new query pattern on temporal knowledge graph

Huang, Jinjing, Chen, Wei, Liu, An, Wang, Weiqing, Yin, Hongzhi and Zhao, Lei (2020). Cluster query: a new query pattern on temporal knowledge graph. World Wide Web, 23 (2), 755-779. doi: 10.1007/s11280-019-00754-1

Cluster query: a new query pattern on temporal knowledge graph

2020

Journal Article

Local variational feature-based similarity models for recommending top-N new items

Chen, Yifan, Wang, Yang, Zhao, Xiang, Yin, Hongzhi, Markov, Ilya and De Rijke, Maarten (2020). Local variational feature-based similarity models for recommending top-N new items. ACM Transactions on Information Systems, 38 (2) 12, 1-33. doi: 10.1145/3372154

Local variational feature-based similarity models for recommending top-N new items

2020

Journal Article

SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud

Huang, Jinjing, Chen, Wei, Li, Zhixu, Zhao, Pengpeng, Wang, Weiqing, Yin, Hongzhi and Zhao, Lei (2020). SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud. World Wide Web-Internet and Web Information Systems, 23 (1), 519-547. doi: 10.1007/s11280-020-00784-0

SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud

2020

Journal Article

Preference-aware task assignment in spatial crowdsourcing: from individuals to groups

Zhao, Yan, Zheng, Kai, Yin, Hongzhi, Liu, Guanfeng, Fang, Junhua and Zhou, Xiaofang (2020). Preference-aware task assignment in spatial crowdsourcing: from individuals to groups. IEEE Transactions on Knowledge and Data Engineering, 34 (7), 1-1. doi: 10.1109/tkde.2020.3021028

Preference-aware task assignment in spatial crowdsourcing: from individuals to groups

2020

Journal Article

Few-shot deep adversarial learning for video-based person re-identification

Wu, Lin, Wang, Yang, Yin, Hongzhi, Wang, Meng and Shao, Ling (2020). Few-shot deep adversarial learning for video-based person re-identification. IEEE Transactions on Image Processing, 29 8839731, 1233-1245. doi: 10.1109/tip.2019.2940684

Few-shot deep adversarial learning for video-based person re-identification

2019

Journal Article

An efficient framework for multiple subgraph pattern matching models

Gao, Jiu-Ru, Chen, Wei, Xu, Jia-Jie, Liu, An, Li, Zhi-Xu, Yin, Hongzhi and Zhao, Lei (2019). An efficient framework for multiple subgraph pattern matching models. Journal of Computer Science and Technology, 34 (6), 1185-1202. doi: 10.1007/s11390-019-1969-x

An efficient framework for multiple subgraph pattern matching models

2019

Journal Article

Online sales prediction via trend alignment-based multitask recurrent neural networks

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wang, Hao, Zhou, Xiaofang and Li, Xue (2019). Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowledge and Information Systems, 62 (6), 2139-2167. doi: 10.1007/s10115-019-01404-8

Online sales prediction via trend alignment-based multitask recurrent neural networks

2019

Journal Article

Group-level personality detection based on text generated networks

Sun, Xiangguo, Liu, Bo, Meng, Qing, Cao, Jiuxin, Luo, Junzhou and Yin, Hongzhi (2019). Group-level personality detection based on text generated networks. World Wide Web, 23 (3), 1887-1906. doi: 10.1007/s11280-019-00729-2

Group-level personality detection based on text generated networks

2019

Journal Article

Semi-supervised clustering with deep metric learning and graph embedding

Li, Xiaocui, Yin, Hongzhi, Zhou, Ke and Zhou, Xiaofang (2019). Semi-supervised clustering with deep metric learning and graph embedding. World Wide Web, 23 (2), 781-798. doi: 10.1007/s11280-019-00723-8

Semi-supervised clustering with deep metric learning and graph embedding