Pin Ni

According to our database, Pin Ni authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Correction to: Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot.

Pin Ni, Ramin Okhrati, Steven Guan, Victor Chang

Inf. Syst. Frontiers, February, 2024

Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot.

Pin Ni, Ramin Okhrati, Steven Guan, Victor Chang

Inf. Syst. Frontiers, February, 2024

2023

Continual Graph Learning: A Survey.

Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man, Prudence W. H. Wong, Victor Chang

CoRR, 2023

Exploring Risks in the Metaverse in an Immersive Digital Economy.

Victor Chang, Sandra Strittmatter, Vitor Jesus, Lewis Golightly, Pin Ni, Karl Hall

Proceedings of the 5th International Conference on Finance, 2023

2022

Eigenvector-based Graph Neural Network Embeddings and Trust Rating Prediction in Bitcoin Networks.

Pin Ni, Qiao Yuan, Raad Khraishi, Ramin Okhrati, Aldo Lipani, Francesca Medda

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Attention-based Ingredient Phrase Parser.

Zhengxiang Shi, Pin Ni, Meihui Wang, To Eun Kim, Aldo Lipani

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

A Hybrid Siamese Neural Network for Natural Language Inference in Cyber-Physical Systems.

Pin Ni, Yuming Li, Gangmin Li, Victor I. Chang

ACM Trans. Internet Techn., 2021

StaResGRU-CNN with CMedLMs: A stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence.

Pin Ni, Gangmin Li, Patrick C. K. Hung, Victor Chang

Appl. Soft Comput., 2021

2020

Natural language understanding approaches based on joint task of intent detection and slot filling for IoT voice interaction.

Pin Ni, Yuming Li, Gangmin Li, Victor Chang

Neural Comput. Appl., 2020

K-Clustering Methods for Investigating Social-Environmental and Natural-Environmental Features Based on Air Quality Index.

Victor Chang, Pin Ni, Yuming Li

IT Prof., 2020

Research on Text Classification Based on Automatically Extracted Keywords.

Pin Ni, Yuming Li, Victor Chang

Int. J. Enterp. Inf. Syst., 2020

Recommendation and Sentiment Analysis Based on Consumer Review and Rating.

Pin Ni, Yuming Li, Victor Chang

Int. J. Bus. Intell. Res., 2020

Application of deep reinforcement learning in stock trading strategies and stock forecasting.

Yuming Li, Pin Ni, Victor Chang

Computing, 2020

Effective Piecewise CNN with Attention Mechanism for Distant Supervision on Relation Extraction Task.

Yuming Li, Pin Ni, Gangmin Li, Victor Chang

Proceedings of the 5th International Conference on Complexity, 2020

2019

An Empirical Research on the Investment Strategy of Stock Market based on Deep Reinforcement Learning model.

Yuming Li, Pin Ni, Victor Chang

Proceedings of the 4th International Conference on Complexity, 2019

Named Entity Recognition Using BERT BiLSTM CRF for Chinese Electronic Health Records.

Zhenjin Dai, Xutao Wang, Pin Ni, Yuming Li, Gangmin Li, Xuming Bai

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

An Word2vec based on Chinese Medical Knowledge.

Jiayi Zhu, Pin Ni, Yuming Li, Junkun Peng, Zhenjin Dai, Gangmin Li, Xuming Bai

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Automatic Generation of Electronic Medical Record Based on GPT2 Model.

Junkun Peng, Pin Ni, Jiayi Zhu, Zhenjin Dai, Yuming Li, Gangmin Li, Xuming Bai

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model.

Pin Ni, Yuming Li, Jiayi Zhu, Junkun Peng, Zhenjin Dai, Gangmin Li, Xuming Bai

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF.

Yuming Li, Pin Ni, Junkun Peng, Jiayi Zhu, Zhenjin Dai, Gangmin Li, Xuming Bai

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019