PNCOIRank: Evaluating the Impact of Scholarly Articles with Positive and Negative Citations. - Xiaomei Bai; Jun Zhang 048; Hai Cui; Zhaolong Ning; Feng Xia 001 (WWW (Companion Volume), 2016)

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception. - Ridong Han; Tao Peng 003; Jiayu Han; Lin Yue; Hai Cui; Lu Liu 013 (CoRR, 2021)

Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification. - Hai Cui; Tao Peng 003; Lizhou Feng; Tie Bao; Lu Liu 013 (Knowl. Inf. Syst., 2021)

Meta-learning for few-shot time series forecasting. - Feng Xiao; Lu Liu 013; Jiayu Han; Degui Guo; Shang Wang; Hai Cui; Tao Peng 003 (J. Intell. Fuzzy Syst., 2022)

Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints. - Tao Peng 003; Ridong Han; Hai Cui; Lin Yue; Jiayu Han; Lu Liu 013 (Knowl. Based Syst., 2022)

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception. - Ridong Han; Tao Peng 003; Jiayu Han; Hai Cui; Lu Liu 013 (Neural Networks, 2022)

Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering. - Hai Cui; Tao Peng 003; Feng Xiao; Jiayu Han; Ridong Han; Lu Liu 013 (Inf. Sci., 2023)

Path-based multi-hop reasoning over knowledge graph for answering questions via adversarial reinforcement learning. - Hai Cui; Tao Peng 003; Ridong Han; Jiayu Han; Lu Liu 013 (Knowl. Based Syst., 2023)

Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering. - Hai Cui; Tao Peng 003; Tie Bao; Ridong Han; Jiayu Han; Lu Liu 013 (Appl. Intell., 2023)

Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph. - Hai Cui; Tao Peng 003; Ridong Han; Beibei Zhu; Haijia Bi; Lu Liu 013 (Inf. Process. Manag., 2023)

An effective knowledge graph entity alignment model based on multiple information. - Beibei Zhu; Tie Bao; Ridong Han; Hai Cui; Jiayu Han; Lu Liu 013; Tao Peng 003 (Neural Networks, 2023)

Efficient Low-Dimensional Representation Via Manifold Learning-Based Model for Multimodal Sentiment Analysis. - Xingang Wang; Mengyi Wang; Hai Cui; Yijia Zhang 001 (MMAsia, 2024)

Heterogeneous graph contrastive learning with gradient balance for drug repositioning. - Hai Cui; Meiyu Duan; Haijia Bi; Xiaobo Li 007; Xiaodi Hou; Yi-Jia Zhang 001 (Briefings Bioinform., 2024)

Spatiotemporal constrained RNA-protein heterogeneous network for protein complex identification. - Zeqian Li; Shilong Wang 004; Hai Cui; Xiaoxia Liu; Yijia Zhang 001 (Briefings Bioinform., 2024)

Multi-source biological knowledge-guided hypergraph spatiotemporal subnetwork embedding for protein complex identification. - Shilong Wang 004; Hai Cui; Yanchen Qu; Yijia Zhang 001 (Briefings Bioinform., 2024)

A dual-channel multimodal sentiment analysis framework based on three-way decision. - Xingang Wang; Mengyi Wang; Hai Cui; Yi-Jia Zhang 001 (Eng. Appl. Artif. Intell., 2024)

Dynamic Lightweight Siamese-Prototypical network for few-shot relation classification. - Haijia Bi; Lu Liu 013; Hai Cui; Ridong Han; Jiayu Han; Tao Peng 003 (Appl. Soft Comput., 2025)

Manifold knowledge-guided feature fusion network for multimodal sentiment analysis. - Xingang Wang; Mengyi Wang; Hai Cui; Yi-Jia Zhang 001 (Expert Syst. Appl., 2025)

Dynamic matching-prototypical learning for noisy few-shot relation classification. - Haijia Bi; Tao Peng 003; Jiayu Han; Hai Cui; Lu Liu 013 (Knowl. Based Syst., 2025)