Zhicheng He

According to our database, Zhicheng He authored at least 24 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Network Embedding With Dual Generation Tasks.

Na Li, Jie Liu, Zhicheng He, Chunhai Zhang, Jiaying Xie

IEEE Trans. Knowl. Data Eng., July, 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.

Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

A Survey on User Behavior Modeling in Recommender Systems.

Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Multi-Behavior Sequential Transformer Recommender.

Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.

Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.

Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.

Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Automatical Graph-based Knowledge Tracing.

Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.

Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.

Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Content to Node: Self-Translation Network Embedding.

Zhicheng He, Jie Liu, Yuyuan Zeng, Lai Wei, Yalou Huang

IEEE Trans. Knowl. Data Eng., 2021

2020

Leveraging maximum entropy and correlation on latent factors for learning representations.

Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang

Neural Networks, 2020

2019

Dropout non-negative matrix factorization.

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang

Knowl. Inf. Syst., 2019

Heterogeneous Item Recommendation for the Air Travel Industry.

Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Learning Network-to-Network Model for Content-rich Network Embedding.

Zhicheng He, Jie Liu, Na Li, Yalou Huang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Network Embedding with Dual Generation Tasks.

Jie Liu, Na Li, Zhicheng He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Hierarchical Attention Based Semi-supervised Network Representation Learning.

Jie Liu, Junyi Deng, Guanghui Xu, Zhicheng He

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction.

Jie Liu, Shaowei Chen, Zhicheng He, Huipeng Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Content to Node: Self-Translation Network Embedding.

Jie Liu, Zhicheng He, Lai Wei, Yalou Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model.

Jie Liu, Zhicheng He, Yalou Huang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Mining Functional Modules by Multiview-NMF of Phenome-Genome Association.

Yaogong Zhang, Yingjie Xu, Xin Fan, YuXiang Hong, Jiahui Liu, Zhicheng He, Yalou Huang, Maoqiang Xie

CoRR, 2017

2016

Convolutional neural random fields for action recognition.

Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang

Pattern Recognit., 2016

Dropout Non-negative Matrix Factorization for Independent Feature Learning.

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

2014

Word Vector Modeling for Sentiment Analysis of Product Reviews.

Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li

Proceedings of the Natural Language Processing and Chinese Computing, 2014