Hai Cui

According to our database, Hai Cui authored at least 21 papers between 2016 and 2026.

Collaborative distances:

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

2026

Improving few-shot relation classification with multi-scale hierarchical prototype learning.

Haijia Bi, Lu Liu, Hai Cui, Shengyue Liu, Ridong Han, Jiayu Han, Tao Peng

Neural Networks, 2026

2025

Multi-View Contrastive Learning for Drug Repositioning on Heterogeneous Biological Networks.

Hai Cui, Haijia Bi, Meiyu Duan, Shilong Wang, Yanchen Qu, Yi-Jia Zhang

IEEE J. Biomed. Health Informatics, September, 2025

Dynamic matching-prototypical learning for noisy few-shot relation classification.

Haijia Bi, Tao Peng, Jiayu Han, Hai Cui, Lu Liu

Knowl. Based Syst., 2025

Manifold knowledge-guided feature fusion network for multimodal sentiment analysis.

Xingang Wang, Mengyi Wang, Hai Cui, Yi-Jia Zhang

Expert Syst. Appl., 2025

Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification.

Haijia Bi, Lu Liu, Hai Cui, Ridong Han, Jiayu Han, Tao Peng

Appl. Soft Comput., 2025

2024

A dual-channel multimodal sentiment analysis framework based on three-way decision.

Xingang Wang, Mengyi Wang, Hai Cui, Yi-Jia Zhang

Eng. Appl. Artif. Intell., 2024

Multi-source biological knowledge-guided hypergraph spatiotemporal subnetwork embedding for protein complex identification.

Shilong Wang, Hai Cui, Yanchen Qu, Yijia Zhang

Briefings Bioinform., 2024

Spatiotemporal constrained RNA-protein heterogeneous network for protein complex identification.

Zeqian Li, Shilong Wang, Hai Cui, Xiaoxia Liu, Yijia Zhang

Briefings Bioinform., 2024

Heterogeneous graph contrastive learning with gradient balance for drug repositioning.

Hai Cui, Meiyu Duan, Haijia Bi, Xiaobo Li, Xiaodi Hou, Yi-Jia Zhang

Briefings Bioinform., 2024

Efficient Low-Dimensional Representation Via Manifold Learning-Based Model for Multimodal Sentiment Analysis.

Xingang Wang, Mengyi Wang, Hai Cui, Yijia Zhang

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

2023

An effective knowledge graph entity alignment model based on multiple information.

Beibei Zhu, Tie Bao, Ridong Han, Hai Cui, Jiayu Han, Lu Liu, Tao Peng

Neural Networks, May, 2023

Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph.

Hai Cui, Tao Peng, Ridong Han, Beibei Zhu, Haijia Bi, Lu Liu

Inf. Process. Manag., May, 2023

Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering.

Hai Cui, Tao Peng, Tie Bao, Ridong Han, Jiayu Han, Lu Liu

Appl. Intell., May, 2023

Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning.

Hai Cui, Tao Peng, Ridong Han, Jiayu Han, Lu Liu

Knowl. Based Syst., 2023

Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering.

Hai Cui, Tao Peng, Feng Xiao, Jiayu Han, Ridong Han, Lu Liu

Inf. Sci., 2023

2022

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception.

Ridong Han, Tao Peng, Jiayu Han, Hai Cui, Lu Liu

Neural Networks, 2022

Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints.

Tao Peng, Ridong Han, Hai Cui, Lin Yue, Jiayu Han, Lu Liu

Knowl. Based Syst., 2022

Meta-learning for few-shot time series forecasting.

Feng Xiao, Lu Liu, Jiayu Han, Degui Guo, Shang Wang, Hai Cui, Tao Peng

J. Intell. Fuzzy Syst., 2022

2021

Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification.

Hai Cui, Tao Peng, Lizhou Feng, Tie Bao, Lu Liu

Knowl. Inf. Syst., 2021

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception.

Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu

CoRR, 2021

2016

PNCOIRank: Evaluating the Impact of Scholarly Articles with Positive and Negative Citations.

Xiaomei Bai, Jun Zhang, Hai Cui, Zhaolong Ning, Feng Xia

Proceedings of the 25th International Conference on World Wide Web, 2016