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Gangmin Li
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2020 – today
- 2024
- [c19]Yuchen Liu, Ka Lok Man, Gangmin Li, Terry R. Payne, Yong Yue:
Evaluating and Selecting Deep Reinforcement Learning Models for OptimalDynamic Pricing: A Systematic Comparison of PPO, DDPG, and SAC. CCEAI 2024: 215-219 - 2023
- [j11]Fan Yang, Yong Yue, Gangmin Li, Terry R. Payne, Ka Lok Man:
KEMIM: Knowledge-Enhanced User Multi-Interest Modeling for Recommender Systems. IEEE Access 11: 55425-55434 (2023) - [j10]Gautam Pal, Katie Atkinson, Gangmin Li:
Real-time user clickstream behavior analysis based on apache storm streaming. Electron. Commer. Res. 23(3): 1829-1859 (2023) - [c18]Jing Qian, Gangmin Li, Katie Atkinson, Yong Yue:
Enhancing Text Comprehension via Fusing Pre-trained Language Model with Knowledge Graph. ACAI 2023: 353-360 - [c17]Jing Qian, Qi Chen, Yong Yue, Katie Atkinson, Gangmin Li:
Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification. ICMLC 2023: 427-432 - 2022
- [j9]Fan Yang, Gangmin Li, Yong Yue:
Hierarchical User Intention-Preference for Sequential Recommendation with Relation-Aware Heterogeneous Information Network Embedding. Big Data 10(5): 466-478 (2022) - [c16]Fan Yang, Gangmin Li, Yong Yue, Terry R. Payne:
Accurate and Visual Video Recommendation Based on Deep Neural Network. ICCCS 2022: 278-283 - 2021
- [j8]Pin Ni, Gangmin Li, Patrick C. K. Hung, Victor Chang:
StaResGRU-CNN with CMedLMs: A stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence. Appl. Soft Comput. 113(Part): 107975 (2021) - [j7]Pin Ni, Yuming Li, Gangmin Li, Victor I. Chang:
A Hybrid Siamese Neural Network for Natural Language Inference in Cyber-Physical Systems. ACM Trans. Internet Techn. 21(2): 33:1-33:25 (2021) - 2020
- [j6]Pin Ni, Yuming Li, Gangmin Li, Victor Chang:
Natural language understanding approaches based on joint task of intent detection and slot filling for IoT voice interaction. Neural Comput. Appl. 32(20): 16149-16166 (2020) - [c15]Gautam Pal, Katie Atkinson, Gangmin Li:
Managing Heterogeneous Data on a Big Data Platform: A Multi-criteria Decision Making Model for Data-Intensive Science. BigComp 2020: 229-239 - [c14]Yuming Li, Pin Ni, Gangmin Li, Victor Chang:
Effective Piecewise CNN with Attention Mechanism for Distant Supervision on Relation Extraction Task. COMPLEXIS 2020: 53-60
2010 – 2019
- 2019
- [j5]Gautam Pal, Xianbin Hong, Zhuo Wang, Hongyi Wu, Gangmin Li, Katie Atkinson:
Lifelong Machine Learning and root cause analysis for large-scale cancer patient data. J. Big Data 6: 108 (2019) - [c13]Yuming Li, Pin Ni, Junkun Peng, Jiayi Zhu, Zhenjin Dai, Gangmin Li, Xuming Bai:
A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF. IEEE BigData 2019: 6133-6135 - [c12]Pin Ni, Yuming Li, Jiayi Zhu, Junkun Peng, Zhenjin Dai, Gangmin Li, Xuming Bai:
Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model. IEEE BigData 2019: 6166-6168 - [c11]Junkun Peng, Pin Ni, Jiayi Zhu, Zhenjin Dai, Yuming Li, Gangmin Li, Xuming Bai:
Automatic Generation of Electronic Medical Record Based on GPT2 Model. IEEE BigData 2019: 6180-6182 - [c10]Jiayi Zhu, Pin Ni, Yuming Li, Junkun Peng, Zhenjin Dai, Gangmin Li, Xuming Bai:
An Word2vec based on Chinese Medical Knowledge. IEEE BigData 2019: 6263-6265 - [c9]Zhenjin Dai, Xutao Wang, Pin Ni, Yuming Li, Gangmin Li, Xuming Bai:
Named Entity Recognition Using BERT BiLSTM CRF for Chinese Electronic Health Records. CISP-BMEI 2019: 1-5 - [c8]Gangmin Li, Haowei Song, Hai-Ning Liang, Yuanying Qu, Lu Liu, Xuming Bai:
Medical Diagnosis by Complaints of Patients and Machine Learning. CISP-BMEI 2019: 1-5 - [c7]Haowei Song, Gangmin Li, Size Hou, Yuanying Qu, Hai-Ning Liang, Xuming Bai:
Translate and Summarize Complaints of Patient to Electronic Health Record by BiLSTM-CNN Attention model. CISP-BMEI 2019: 1-5 - [c6]Zhuo Wang, Yanghui Zhou, Gangmin Li:
Anomaly detection for machinery by using Big Data Real-Time processing and clustering technique. ICBDR 2019: 30-36 - 2018
- [j4]Gautam Pal, Gangmin Li, Katie Atkinson:
Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics. Data 3(4): 58 (2018) - [c5]Gautam Pal, Gangmin Li, Katie Atkinson:
Big Data Ingestion and Lifelong Learning Architecture. IEEE BigData 2018: 5420-5423 - [c4]Gautam Pal, Gangmin Li, Katie Atkinson:
Big Data Real Time Ingestion and Machine Learning. DSMP 2018: 25-31 - [c3]Gangmin Li, Jianze Gu, Xuming Bai:
New Cancer Treatment Evaluation through Big Data Analytics. ICSAI 2018: 484-489 - 2017
- [j3]Gang Sun, Victor Chang, Muthu Ramachandran, Zhili Sun, Gangmin Li, Hongfang Yu, Dan Liao:
Efficient location privacy algorithm for Internet of Things (IoT) services and applications. J. Netw. Comput. Appl. 89: 3-13 (2017) - 2013
- [c2]Gangmin Li, Zhun Shen:
A Middleware Architecture for Price Comparison Service on Mobile Phones. ITQM 2013: 545-553
2000 – 2009
- 2007
- [j2]Simon Buckingham Shum, Victoria S. Uren, Gangmin Li, Bertrand Sereno, Clara Mancini:
Modeling naturalistic argumentation in research literatures: Representation and interaction design issues. Int. J. Intell. Syst. 22(1): 17-47 (2007) - 2006
- [j1]Victoria S. Uren, Simon Buckingham Shum, Michelle Bachler, Gangmin Li:
Sensemaking tools for understanding research literatures: Design, implementation and user evaluation. Int. J. Hum. Comput. Stud. 64(5): 420-445 (2006) - 2003
- [p1]Simon Buckingham Shum, Victoria S. Uren, Gangmin Li, John Domingue, Enrico Motta:
Visualizing Internetworked Argumentation. Visualizing Argumentation 2003: 185-204 - 2002
- [c1]Gangmin Li, Victoria S. Uren, Enrico Motta, Simon Buckingham Shum, John Domingue:
ClaiMaker: Weaving a Semantic Web of Research Papers. ISWC 2002: 436-441
Coauthor Index
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last updated on 2024-08-05 21:15 CEST by the dblp team
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