ClaiMaker: Weaving a Semantic Web of Research Papers. - Gangmin Li; Victoria S. Uren; Enrico Motta; Simon Buckingham Shum; John Domingue (ISWC, 2002)

Visualizing Internetworked Argumentation. - Simon Buckingham Shum; Victoria S. Uren; Gangmin Li; John Domingue; Enrico Motta (Visualizing Argumentation, 2003)

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)

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)

A Middleware Architecture for Price Comparison Service on Mobile Phones. - Gangmin Li; Zhun Shen (ITQM, 2013)

Efficient location privacy algorithm for Internet of Things (IoT) services and applications. - Gang Sun 001; Victor Chang 001; Muthu Ramachandran; Zhili Sun; Gangmin Li; Hongfang Yu; Dan Liao (J. Netw. Comput. Appl., 2017)

Big Data Ingestion and Lifelong Learning Architecture. - Gautam Pal; Gangmin Li; Katie Atkinson (IEEE BigData, 2018)

Big Data Real Time Ingestion and Machine Learning. - Gautam Pal; Gangmin Li; Katie Atkinson (DSMP, 2018)

New Cancer Treatment Evaluation through Big Data Analytics. - Gangmin Li; Jianze Gu; Xuming Bai (ICSAI, 2018)

Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics. - Gautam Pal; Gangmin Li; Katie Atkinson (Data, 2018)

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 (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 (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 (IEEE BigData, 2019)

An Word2vec based on Chinese Medical Knowledge. - Jiayi Zhu; Pin Ni; Yuming Li; Junkun Peng; Zhenjin Dai; Gangmin Li; Xuming Bai (IEEE BigData, 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 (CISP-BMEI, 2019)

Medical Diagnosis by Complaints of Patients and Machine Learning. - Gangmin Li; Haowei Song; Hai-Ning Liang; Yuanying Qu; Lu Liu; Xuming Bai (CISP-BMEI, 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 (CISP-BMEI, 2019)

Anomaly detection for machinery by using Big Data Real-Time processing and clustering technique. - Zhuo Wang; Yanghui Zhou; Gangmin Li (ICBDR, 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)

Managing Heterogeneous Data on a Big Data Platform: A Multi-criteria Decision Making Model for Data-Intensive Science. - Gautam Pal; Katie Atkinson; Gangmin Li (BigComp, 2020)

Effective Piecewise CNN with Attention Mechanism for Distant Supervision on Relation Extraction Task. - Yuming Li; Pin Ni; Gangmin Li; Victor Chang 001 (COMPLEXIS, 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 001 (Neural Comput. Appl., 2020)

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 001 (Appl. Soft Comput., 2021)

A Hybrid Siamese Neural Network for Natural Language Inference in Cyber-Physical Systems. - Pin Ni; Yuming Li; Gangmin Li; Victor I. Chang 001 (ACM Trans. Internet Techn., 2021)

Accurate and Visual Video Recommendation Based on Deep Neural Network. - Fan Yang 051; Gangmin Li; Yong Yue 001; Terry R. Payne (ICCCS, 2022)

Hierarchical User Intention-Preference for Sequential Recommendation with Relation-Aware Heterogeneous Information Network Embedding. - Fan Yang 051; Gangmin Li; Yong Yue 001 (Big Data, 2022)

Enhancing Text Comprehension via Fusing Pre-trained Language Model with Knowledge Graph. - Jing Qian; Gangmin Li; Katie Atkinson; Yong Yue 001 (ACAI, 2023)

Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification. - Jing Qian; Qi Chen 026; Yong Yue 001; Katie Atkinson; Gangmin Li (ICMLC, 2023)

KEMIM: Knowledge-Enhanced User Multi-Interest Modeling for Recommender Systems. - Fan Yang 051; Yong Yue 001; Gangmin Li; Terry R. Payne; Ka Lok Man (IEEE Access, 2023)

Real-time user clickstream behavior analysis based on apache storm streaming. - Gautam Pal; Katie Atkinson; Gangmin Li (Electron. Commer. Res., 2023)

Evaluating and Selecting Deep Reinforcement Learning Models for OptimalDynamic Pricing: A Systematic Comparison of PPO, DDPG, and SAC. - Yuchen Liu 008; Ka Lok Man; Gangmin Li; Terry R. Payne; Yong Yue 001 (CCEAI, 2024)

Recommendation Systems with Non-stationary Transformer. - Gangmin Li; Yuchen Liu 008 (ICAC, 2024)

Unlocking Your Sales Insights: Advanced XGBoost Forecasting Models for Amazon Products. - Meng Wang; Yuchen Liu 008; Gangmin Li; Terry R. Payne; Yong Yue 001; Ka Lok Man (CoRR, 2024)

Optimizing E-Commerce with Ensemble Learning and Iterative Clustering for Superior Product Selection. - Yuchen Liu 008; Meng Wang; Gangmin Li; Terry R. Payne; Yong Yue 001; Ka Lok Man (KSII Trans. Internet Inf. Syst., 2024)

Chain-of-thought prompting empowered generative user modeling for personalized recommendation. - Fan Yang 051; Yong Yue 001; Gangmin Li; Terry R. Payne; Ka Lok Man (Neural Comput. Appl., 2024)

Large Language Models for HeXie Management Theory: A Comparative Evaluation of RAG and Finetuning. - Yulu Xu; Shishuo Chen; Lisirui Tang; Jiya Yun; Gangmin Li; Chengyu Wang 005 (CCEAI, 2025)