Zhicheng He

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 27

Top Topics

Unsupervised Learning

Matrix Factorization

Recommender Systems

Item Recommendation

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Na Li, Jie Liu, Zhicheng He, Chunhai Zhang, Jiaying Xie
Network Embedding With Dual Generation Tasks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. CoRR (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. IJCAI (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW (2023)
Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
Multi-Behavior Sequential Transformer Recommender. SIGIR (2022)
Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
-ary Encoding. CIKM (2022)
Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM (2022)
Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
Automatical Graph-based Knowledge Tracing. EDM (2022)
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE (2022)
Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. KDD (2022)
Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR (2022)
Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD (2022)
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR (2021)
Zhicheng He, Jie Liu, Yuyuan Zeng, Lai Wei, Yalou Huang
Content to Node: Self-Translation Network Embedding. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang
Leveraging maximum entropy and correlation on latent factors for learning representations. Neural Networks 131 (2020)
Jie Liu, Na Li, Zhicheng He
Network Embedding with Dual Generation Tasks. IJCAI (2019)
Zhicheng He, Jie Liu, Na Li, Yalou Huang
Learning Network-to-Network Model for Content-rich Network Embedding. KDD (2019)
Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang
Dropout non-negative matrix factorization. Knowl. Inf. Syst. 60 (2) (2019)
Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang
Heterogeneous Item Recommendation for the Air Travel Industry. PAKDD (2) (2019)
Jie Liu, Junyi Deng, Guanghui Xu, Zhicheng He
Hierarchical Attention Based Semi-supervised Network Representation Learning. NLPCC (1) (2018)
Jie Liu, Shaowei Chen, Zhicheng He, Huipeng Chen
Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction. NLPCC (1) (2018)
Jie Liu, Zhicheng He, Lai Wei, Yalou Huang
Content to Node: Self-Translation Network Embedding. KDD (2018)
Jie Liu, Zhicheng He, Yalou Huang
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. IJCAI (2018)
Yaogong Zhang, Yingjie Xu, Xin Fan, YuXiang Hong, Jiahui Liu, Zhicheng He, Yalou Huang, Maoqiang Xie
Mining Functional Modules by Multiview-NMF of Phenome-Genome Association. CoRR (2017)
Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang
Convolutional neural random fields for action recognition. Pattern Recognit. 59 (2016)
Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang
Dropout Non-negative Matrix Factorization for Independent Feature Learning. NLPCC/ICCPOL (2016)
Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li
Word Vector Modeling for Sentiment Analysis of Product Reviews. NLPCC (2014)