Gangmin Li

According to our database, Gangmin Li authored at least 33 papers between 2002 and 2024.

Collaborative distances:

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

2024

Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products.

Meng Wang, Yuchen Liu, Gangmin Li, Terry R. Payne, Yong Yue, Ka Lok Man

CoRR, 2024

Recommendation Systems with Non-stationary Transformer.

Gangmin Li, Yuchen Liu

Proceedings of the 29th International Conference on Automation and Computing, 2024

Evaluating and Selecting Deep Reinforcement Learning Models for OptimalDynamic Pricing: A Systematic Comparison of PPO, DDPG, and SAC.

Yuchen Liu, Ka Lok Man, Gangmin Li, Terry R. Payne, Yong Yue

Proceedings of the 2024 8th International Conference on Control Engineering and Artificial Intelligence, 2024

2023

Real-time user clickstream behavior analysis based on apache storm streaming.

Gautam Pal, Katie Atkinson, Gangmin Li

Electron. Commer. Res., September, 2023

KEMIM: Knowledge-Enhanced User Multi-Interest Modeling for Recommender Systems.

Fan Yang, Yong Yue, Gangmin Li, Terry R. Payne, Ka Lok Man

IEEE Access, 2023

Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification.

Jing Qian, Qi Chen, Yong Yue, Katie Atkinson, Gangmin Li

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Enhancing Text Comprehension via Fusing Pre-trained Language Model with Knowledge Graph.

Jing Qian, Gangmin Li, Katie Atkinson, Yong Yue

Proceedings of the 6th International Conference on Algorithms, 2023

2022

Hierarchical User Intention-Preference for Sequential Recommendation with Relation-Aware Heterogeneous Information Network Embedding.

Fan Yang, Gangmin Li, Yong Yue

Big Data, 2022

Accurate and Visual Video Recommendation Based on Deep Neural Network.

Fan Yang, Gangmin Li, Yong Yue, Terry R. Payne

Proceedings of the 7th International Conference on Computer and Communication Systems, 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

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

Managing Heterogeneous Data on a Big Data Platform: A Multi-criteria Decision Making Model for Data-Intensive Science.

Gautam Pal, Katie Atkinson, Gangmin Li

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Lifelong Machine Learning and root cause analysis for large-scale cancer patient data.

Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson

J. Big Data, 2019

Anomaly detection for machinery by using Big Data Real-Time processing and clustering technique.

Zhuo Wang, Yanghui Zhou, Gangmin Li

Proceedings of the 3rd International Conference on Big Data Research, 2019

Translate and Summarize Complaints of Patient to Electronic Health Record by BiLSTM-CNN Attention model.

Haowei Song, Gangmin Li, Size Hou, Yuanying Qu, Hai-Ning Liang, Xuming Bai

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

Medical Diagnosis by Complaints of Patients and Machine Learning.

Gangmin Li, Haowei Song, Hai-Ning Liang, Yuanying Qu, Lu Liu, Xuming Bai

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

2018

Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics.

Gautam Pal, Gangmin Li, Katie Atkinson

Data, 2018

New Cancer Treatment Evaluation through Big Data Analytics.

Gangmin Li, Jianze Gu, Xuming Bai

Proceedings of the 5th International Conference on Systems and Informatics, 2018

Big Data Real Time Ingestion and Machine Learning.

Gautam Pal, Gangmin Li, Katie Atkinson

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

Big Data Ingestion and Lifelong Learning Architecture.

Gautam Pal, Gangmin Li, Katie Atkinson

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Efficient location privacy algorithm for Internet of Things (IoT) services and applications.

Gang Sun, Victor Chang, Muthu Ramachandran, Zhili Sun, Gangmin Li, Hongfang Yu, Dan Liao

J. Netw. Comput. Appl., 2017

2013

A Middleware Architecture for Price Comparison Service on Mobile Phones.

Gangmin Li, Zhun Shen

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2007

Modeling naturalistic argumentation in research literatures: Representation and interaction design issues.

Simon Buckingham Shum, Victoria S. Uren, Gangmin Li, Bertrand Sereno, Clara Mancini

Int. J. Intell. Syst., 2007

2006

Sensemaking tools for understanding research literatures: Design, implementation and user evaluation.

Victoria S. Uren, Simon Buckingham Shum, Michelle Bachler, Gangmin Li

Int. J. Hum. Comput. Stud., 2006

2003

Visualizing Internetworked Argumentation.

Simon Buckingham Shum, Victoria S. Uren, Gangmin Li, John Domingue, Enrico Motta

Proceedings of the Visualizing Argumentation, 2003

2002

ClaiMaker: Weaving a Semantic Web of Research Papers.

Gangmin Li, Victoria S. Uren, Enrico Motta, Simon Buckingham Shum, John Domingue

Proceedings of the Semantic Web, 2002