User Interests Analysis and Its Application on the Linked Brain Data Platform. - Yi Zeng 001; Dongsheng Wang 005; Hongyin Zhu (BIH, 2016)

Brain Knowledge Graph Analysis Based on Complex Network Theory. - Hongyin Zhu; Yi Zeng 001; Dongsheng Wang 005; Bo Xu 002 (BIH, 2016)

Relation Inference and Type Identification Based on Brain Knowledge Graph. - Hongyin Zhu; Yi Zeng 001; Dongsheng Wang 005; Bo Xu 002 (BIH, 2016)

Research topics variation analysis and prediction based on FARO and neural networks. - Hongyin Zhu; Yi Zeng 001; Yiping Yang (SMC, 2016)

FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. - Hongyin Zhu; Wenpeng Hu; Yi Zeng 001 (NLPCC (2), 2019)

CFS: A Distributed File System for Large Scale Container Platforms. - Haifeng Liu; Wei Ding; Yuan Chen; Weilong Guo; Shuoran Liu; Tianpeng Li; Mofei Zhang; Jianxing Zhao; Hongyin Zhu; Zhengyi Zhu (SIGMOD Conference, 2019)

An Efficient Graphics Processing Unit Scheme for Complex Geometry Simulations Using the Lattice Boltzmann Method. - Hongyin Zhu; Xin Xu; Gang Huang; Zhangrong Qin; Binghai Wen (IEEE Access, 2020)

Structural block driven enhanced convolutional neural representation for relation extraction. - Dongsheng Wang 005; Prayag Tiwari; Sahil Garg; Hongyin Zhu; Peter Bruza (Appl. Soft Comput., 2020)

Construction of Multimodal Chinese Tourism Knowledge Graph. - Jiawang Xie; Zhenhao Dong; Qinghua Wen; Hongyin Zhu; Hailong Jin; Lei Hou 001; Juanzi Li (ICPCSEE (2), 2021)

Breast cancer detection using an ensemble deep learning method. - Abhishek Das; Mihir Narayan Mohanty; Pradeep Kumar Mallick; Prayag Tiwari; Khan Muhammad 001; Hongyin Zhu (Biomed. Signal Process. Control., 2021)

TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation. - Hongyin Zhu; Hao Peng 015; Zhiheng Lyu; Lei Hou 001; Juanzi Li; Jinghui Xiao (CoRR, 2021)

Efficient graphic processing unit implementation of the chemical-potential multiphase lattice Boltzmann method. - Yutong Ye 001; Hongyin Zhu; Chaoying Zhang; Binghai Wen (Int. J. High Perform. Comput. Appl., 2021)

DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning. - Prayag Tiwari; Hongyin Zhu; Hari Mohan Pandey (Neural Networks, 2021)

SwitchNet: A modular neural network for adaptive relation extraction. - Hongyin Zhu; Prayag Tiwari; Yazhou Zhang; Deepak Gupta 002; Meshal Alharbi; Tri Gia Nguyen; Shahram Dehdashti (Comput. Electr. Eng., 2022)

MetaOnce: A Metaverse Framework Based on Multi-scene Relations and Entity-relation-event Game. - Hongyin Zhu (CoRR, 2022)

MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing. - Hongyin Zhu (CoRR, 2022)

Financial data analysis application via multi-strategy text processing. - Hongyin Zhu (CoRR, 2022)

A Collaborative AI-Enabled Pretrained Language Model for AIoT Domain Question Answering. - Hongyin Zhu; Prayag Tiwari; Ahmed Ghoneim; M. Shamim Hossain (IEEE Trans. Ind. Informatics, 2022)

Construction of Multimodal Dialog System via Knowledge Graph in Travel Domain. - Jing Wan; Minghui Yuan; Zhenhao Dong; Lei Hou 001; Jiawang Xie; Hongyin Zhu; Qinghua Wen (APWeb/WAIM (4), 2023)

Neural Personalized Topic Modeling for Mining User Preferences on Social Media. - Luyang Liu; Qunyang Lin; Haonan Tong; Hongyin Zhu; Ke Liu; Min Wang; Chuang Zhang (CIKM, 2023)

MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models. - Hongyin Zhu (CoRR, 2023)

FQP 2.0: Industry Trend Analysis via Hierarchical Financial Data. - Hongyin Zhu (CoRR, 2023)

Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm. - Hongyin Zhu (CoRR, 2023)

Reranking Passages with Coarse-to-Fine Neural Retriever using List-Context Information. - Hongyin Zhu (CoRR, 2023)

Climate Change from Large Language Models. - Hongyin Zhu; Prayag Tiwari (CoRR, 2023)

MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models. - Hongyin Zhu (CoRR, 2023)

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation. - Hongyin Zhu; Hao Peng 015; Zhiheng Lyu; Lei Hou 001; Juanzi Li; Jinghui Xiao (Expert Syst. Appl., 2023)

Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks. - Hongyin Zhu (CoRR, 2024)

Architectural Foundations for the Large Language Model Infrastructures. - Hongyin Zhu (CoRR, 2024)

Challenges and Responses in the Practice of Large Language Models. - Hongyin Zhu (CoRR, 2024)

Integrating FPGA-based hardware acceleration with relational databases. - Ke Liu; Haonan Tong; Zhongxiang Sun; Zhixin Ren; Guangkui Huang; Hongyin Zhu; Luyang Liu; Qunyang Lin; Chuang Zhang (Parallel Comput., 2024)

Pre-training graph autoencoder incorporating hierarchical topology knowledge. - Hongyin Zhu; Yakun Li; Luyang Liu; Haonan Tong; Qunyang Lin; Chuang Zhang (Expert Syst. Appl., 2025)