Zhicheng He - RankMe

29 papers A* 10A 2B 1Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction. IEEE Trans. Knowl. Data Eng. Jie Liu, Chunhai Zhang, Zhicheng He, Wenzheng Zhang, Na Li
2023	A*	`conf`	A Survey on User Behavior Modeling in Recommender Systems. IJCAI Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023	J	`jnl`	A Survey on User Behavior Modeling in Recommender Systems. CoRR Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023	A*	`conf`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	J	`jnl`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	J	`jnl`	Network Embedding With Dual Generation Tasks. IEEE Trans. Knowl. Data Eng. Na Li, Jie Liu, Zhicheng He, Chunhai Zhang, Jiaying Xie
2022	B	`conf`	Automatical Graph-based Knowledge Tracing. EDM Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
2022	A*	`conf`	CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022	A	`conf`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	J	`jnl`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	A*	`conf`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022	A*	`conf`	Multi-Behavior Sequential Transformer Recommender. SIGIR Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
2022	A	`conf`	Numerical Feature Representation with Hybrid CIKM Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022	A*	`conf`	Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. KDD Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2021	J	`jnl`	Content to Node: Self-Translation Network Embedding. IEEE Trans. Knowl. Data Eng. Zhicheng He, Jie Liu, Yuyuan Zeng, Lai Wei, Yalou Huang
2021	J	`jnl`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2020	J	`jnl`	Leveraging maximum entropy and correlation on latent factors for learning representations. Neural Networks Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang
2019	J	`jnl`	Dropout non-negative matrix factorization. Knowl. Inf. Syst. Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang
2019	—	`conf`	Heterogeneous Item Recommendation for the Air Travel Industry. PAKDD (2) Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang
2019	A*	`conf`	Learning Network-to-Network Model for Content-rich Network Embedding. KDD Zhicheng He, Jie Liu, Na Li, Yalou Huang
2019	A*	`conf`	Network Embedding with Dual Generation Tasks. IJCAI Jie Liu, Na Li, Zhicheng He
2018	A*	`conf`	Content to Node: Self-Translation Network Embedding. KDD Jie Liu, Zhicheng He, Lai Wei, Yalou Huang
2018	A*	`conf`	Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. IJCAI Jie Liu, Zhicheng He, Yalou Huang
2018	—	`conf`	Hierarchical Attention Based Semi-supervised Network Representation Learning. NLPCC (1) Jie Liu, Junyi Deng, Guanghui Xu, Zhicheng He
2018	—	`conf`	Learning BLSTM-CRF with Multi-channel Attribute Embedding for Medical Information Extraction. NLPCC (1) Jie Liu, Shaowei Chen, Zhicheng He, Huipeng Chen
2017	J	`jnl`	Mining Functional Modules by Multiview-NMF of Phenome-Genome Association. CoRR Yaogong Zhang, Yingjie Xu, Xin Fan, YuXiang Hong, Jiahui Liu, Zhicheng He, Yalou Huang, Maoqiang Xie
2016	J	`jnl`	Convolutional neural random fields for action recognition. Pattern Recognit. Caihua Liu, Jie Liu, Zhicheng He, Yujia Zhai, Qinghua Hu, Yalou Huang
2016	—	`conf`	Dropout Non-negative Matrix Factorization for Independent Feature Learning. NLPCC/ICCPOL Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang
2014	—	`conf`	Word Vector Modeling for Sentiment Analysis of Product Reviews. NLPCC Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, Dong Li