Dr Gangmin Li

1. Refereed Journals

1. F. Yang, Y. Yue, G. Li, T. R. Payne and K. L. Man, (2023), "KEMIM: Knowledge-enhanced User Multi-interest Modeling for Recommender Systems," in IEEE Access, doi.org/10.1109/ACCESS.2023.3264550.
2. Fan Yang, Gangmin Li, and Yong Yue. "Hierarchical User Intention–Preference for Sequential Recommendation with Relation-Aware Heterogeneous Information Network Embedding". Big Data. Oct 2022.466-478. https://www.liebertpub.com/doi/full/10.1089/BIG.2021.0395 Published in Volume: 10 Issue 5: October 14, 2022, Online Ahead of Print:August 24, 2022
3. Pal, G., Atkinson, K. & Li, G. Real-time user clickstream behavior analysis based on apache storm streaming. Electron Commer Res (2021). doi.org/10.1007/s10660-021-09518-4
4. Pin Ni, GangminLi, Patrick C.K.Hung, VictorChang (2021), "StaResGRU-CNN with CMedLMs: A stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence",Applied Soft Computing, Volume 113, Part B, December 2021, 107975, doi.org/10.1016/j.asoc.2021.107975
5. Jing Qian, Gangmin Li, Katie Atkinson and Yong Yue (2021), "Understanding Negative Sampling In Knowledge Graph Embedding", International Journal of Artificial Intelligence and Applications (IJAIA), Vol.12, No.1, January 2021. P71-81
6. Ni,P. and Li,Y. and Li,G. and Chang,V. (2021), "A Hybrid Siamese Neural Network for Natural Language Inference in Cyber-Physical Systems", ACM Transactions on Internet Technology, 2021 21(2), 3418208
7. Jing Qian, Gangmin Li, Katie Atkinson and Yong Yue (2021), "Understanding Negative Sampling In Knowledge Graph Embedding", International Journal of Artificial Intelligence and Applications (IJAIA), Vol.12, No.1, January 2021. P71-81.
8. Li, Y., Ni, P., Li, G., & Chang, V. (2020). Effective Piecewise CNN with Attention Mechanism for Distant Supervision on Relation Extraction Task. In COMPLEXIS (pp. 53-60).
9. P. Ni, Y. Li, Gangmin Li and Victor Chang (2020), "Natural language understanding approaches based on joint task of intent detection and slot filling for IoT voice interaction", Neural Computing and Applications, March 2020, Online: DOI: 10.1007/s00521-020-04805-x. (IF: 4.664, CiteScore 7.43), in dexed by ACM, CMKI, EI Compendex, SCOPUS and Scopus indexed)
10. Gautam Pal, Gangmin Li, Katie Atkinson (2019)."Lifelong Machine Learning and root cause analysis for large-scale cancer patient data".J Big Data 6, Springer, 108 (2019). Online: doi.org/10.1186/s40537-019-0261-9. (IF: 4.360, Q1, CiteScore: 8.79)
11. Gautam Pal* , Gangmin Li and Katie Atkinson (2018) "Multi-Agent Big-Data Lambda Architecture Model for E-Commerce Analytics", Data 2018, 3(4), 58; Online: doi.org/10.3390/data3040058. www.mdpi.com/2306-5729/3/4/58 a peer-reviewed open access journal on data in science. Indexed in Scopus, the Emerging Sources Citation Index (ESCI) - Web of Science and Inspec (IET).
12. Gangmin Li, Minghuang Chi (2018), "Expert CF: Solving Data Matrix Sparsity and Computation Complexity Problems", Transactions on Machine Learning and Artificial Intelligence, Volume 6, No. 2. ISBN 2054-7390. DOI: 10.14738/tmlai.62.4337, URL: dx.doi.org/10.14738/tmlai.62.4337
13. Gangmin Li, Minghuang Chi (2017), "expertSFCF: Improving CF with Expert and Fusion". Special Issue of the International Journal IJDATICS (ISSN: 2223523X) , 2017.
14. Wei Bai, Emmanuel Tadjouddine, Terry Payne, Gangmin Li (2017), "Dialogue Based Decision Making in Online Trading", Transactions on Machine Learning and Artificial Intelligence, Volume 5, No 3, June 2017, ISSN (online) 2169-4726, DOI: dx.doi.org/10.14738/tmlai.53.3390.
15. Gangmin Li (2016). "Organisational Knowledge Acquisition with Contested Collective Intelligence in the Web Environment", Software Engineering, 2016; 4(2); 41-49；
16. Sun, Gang, Chang, Victor, Ramachandran, Muthu, Sun, Zhili, Li, Gangmin, Yu, Hongfang and Liao, Dan (2016), "Efficient location privacy algorithm for Internet of Things (IoT) services and applications", Journal of Network and Computer Applications, pp. 1-11.
17. Gangmin Li, Zhun Shen (2013), "A Middleware Architecture for Price Comparison Service on Mobile Phones", Procedia Computer Science, Volume 17, 2013, Pages 545-553;
18. Simon Buckingham Shum, Victoria S. Uren, Gangmin Li, Bertrand Sereno, Clara Mancini (2007), "Modeling naturalistic argumentation in research literatures: Representation and interaction design issues". J. Intell. Syst. 22(1) (2007): 17-47
19. Buckingham Shum, S., Bachler, M., Li, G.(2006), "Sensemaking Tools for Understanding Research Literatures: Design, Implementation and User Evaluation." International Journal of Human Computer Studies, Vol.64, (2006) 5, PP:420-445.
20. Li, A. A. Hopgood, and M. J. Weller (2003), "Shifting Matrix Management: a model for multi-agent cooperation". Engineering Applications of Artificial Intelligence, 16 (2003), pp191-201.
21. Uren, V., Shum, S.B., Li, G., Domingue, J., Motta, E.(2003) "Scholarly publishing and argument in hyperspace", Proceedings of the 12th International Conference on World Wide Web, WWW 2003, 244-250.
22. Gangmin Li, Victoria S. Uren, Enrico Motta, Simon Buckingham Shum, John Domingue (2002), "ClaiMaker: Weaving a Semantic Web of Research Papers." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2342 LNCS , 2002, pp. 436-441.

1.1 Books

1. "Foundation of Big Data Analytics: Concepts, Technologies and Business". Autumn, 2018. Publisher: China Science Publishing & Media Ltd.(CSPM). ISBN: 978-7-03-058148-8

1.2 Invited papers published in book form

1. Sutcliffe, A.G. & Li, G. (2002) Connecting Business Modelling to Requirements Engineering. In P. Henderson (ed.) Systems Engineering for Business Process Change: collected papers from the EPSRC Research Programme, 91-105. London: Springer.
2. Simon Buckingham Shum, Victoria Uren, Gangmin Li, John Domingue, Enrico Motta. (2002) Visualizing Internetworked Argumentation, in "Visualizing Argumentation: Software Tools for Collaborative and Educational Sense-Making". Paul A. Kirschner, Simon J. Buckingham Shum and Chad S. Carr (Eds), Springer-Verlag: London.

1.3 Refereed Conferences

1. Jing Qian, .., Gangmin Li, (2023), "Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification", the 15th International Conference on Machine Learning and Computing (ICBDM 2023), which will be held in Zhuhai, China during February 17-20, 2023
2. Yuchen Liu, Gangmin Li, et al. (2022), "Dynamic Pricing Strategies on the Internet". 2022 International Conference on Digital Contents: AICoM (AI, IoT, Contents and Metaverse) Technologies (DigiCon-22), 19-21 December, 2022, Ocean Suites Jeju Hotel, Jeju, Korea
3. Fan Yang, Gangmin Li, Yong Yue and Terry Payne (2022), "Accurate and Visual Video recommendation based on Deep Neural Network", The 7th International Conference on Computer and Communication Systems (ICCCS2022), Wuhan, China on April 22-25, 2022. Proceedings PP278-283.
4. Yang F, Yue Y, Li G, "Implementation of Movies and TV Plays analysis System Combined with Knowledge Graph and DAta Visualization", 2022 International conference on Computer Engineering and Artificial Intelligence (ICCEAI), IEEE, 2022. P422-426. EI index.
5. Xiangzhi Tong, Pin Ni; Qingge Li; QiAo Yuan; Junru Liu; Hanzhe Lu; Gangmin Li, "Urban Crime Trends Analysis and Occurrence Possibility Prediction based on Light Gradient Boosting Machine," 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI), 2021, pp. 98-103, doi: 10.1109/BDAI52447.2021.9515252.
6. QiAo Yuan; Pin Ni; Junru Liu; Xiangzhi Tong; Hanzhe Lu; Gangmin Li; Steven Guan, "An Encoder-decoder Architecture with Graph Convolutional Networks for Abstractive Summarization," 2021 IEEE 4th International Conference on Big Data and Artificial Intelligence (BDAI), 2021, pp. 91-97, doi: 10.1109/BDAI52447.2021.9515256.
7. Jing Qian, Gangmin Li, Katie Atkinson and Yong Yue, "Negative sampling in knowledge representation learning: a mini-review", 10th International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA 2020), November 28 ~ 29, 2020, London, United Kingdom.
8. Li, P. Ni, Gangmin Li, Victor Chang (2020), "Effective Piecewise CNN with Attention Mechanism for Distant Supervision on Relation Extraction Task", 5th International Conference on Complexity, Future Information Systems and Risk 2020 (COMPLEXIS 2020) Prague, Czech Republic, May 2020, 6 pages.
9. Gautam Pal, Gangmin Li, Katie Atkinson (2020): "Managing Heterogeneous Data on a Big Data Platform: A Multi-Criteria Decision Making Model for Data-Intensive Science". In: 2020 IEEE International Conference on Big Data and Smart Computing (BigComp) 2020. Busan, Korea (South),19-22 Feb. 2020, ieeexplore.ieee.org/document/9070602. acceptance rate: 23%, 11 pages.
10. Zhuo Wang, Yanghui Zhou and Gangmin Li (2020), "Anomaly detection by using Streaming K-Means and Batch K-Means", IEEE 5th International Conference on Big Data Analysis (ICBDA 2020), March 6-9, 2020, Xiamen, China. 4 pages.
11. Gangmin Li, Jinying Zhong, Yong Yue, (2019), "Evaluation of Ensemble Approaches in Sentiment Analysis", 2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC2019), Sanya, China, December 19-21, 2019. 4 pages.
12. Ziyue Qiu, Yuming Li, Pin Ni and Gangmin Li (2019), "Credit Risk Scoring Analysis Based on Machine Learning Models", in the proceedings of IEEE 2019 6th International Conference on Information Science and Control Engineering (ICISCE 2019), December 20-22, 2019, in Shanghai, China.
13. Zhuo Wang, Yanghui Zhou and Gangmin Li (2019), "Anomaly detection for machinery by using Big Data Real-Time processing and clustering technique", The 3rd International Conference on Big Data Research (ICBDR 2019), EISTI, Paris, France, Nov. 20-22, 2019
14. Yuming Li, Pin Ni, Gangmin Li, Xutao Wang and Zhenjin Dai (2019), "Inter-Personal Relation Extraction Model Based on Bidirectional GRU and Attention Mechanism", 2019 5th IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, December 6-9, 2019. Proceddings p1867-1871. ISBN:978-1-7281-4742-0.
15. Haowei song, Gangmin Li, Suzhe Hou, Yuanying Qu, Xuming Bai (2019), "Using Structured event to represent complaints of patients: a medical assistant for doctors", 2019 5th IEEE International Conference on Computer and Communications (ICCC), Chengdu, China, December 6-9, 2019. Proceddings p2193-2197. ISBN:978-1-7281-4742-0.
16. Yuming Li, Pin Ni, Junkun Peng, Jiayi Zhu, Zhenjin Dai, Gangmin Li and Xuming Bai, "A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF", 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
17. Junkun Peng, Pin Ni, Jiayi Zhu, Zhenjin Dai, Yuming Li, Gangmin Li, and Xuming Bai, "Automatic Generation of Electronic Medical Record Based on GPT2 Model", 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
18. Gangmin Li, and Xuming Bai, "A Word2vec Based on Chinese Biomedical Domain Knowledge", 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
19. Pin Ni, Yuming Li, Jiayi Zhu, Junkun Peng, Zhenjin Dai, Gangmin Li, and Xuming Bai, Disease Diagnosis Prediction of EMR Based on BiGRU-Att-CapsNetwork Model", 2019 IEEE International Conference on Big Data (IEEE BigData 2019), December 9-12,2019, Los Angeles, CA, USA.
20. Haowei song, Gangmin Li, Suzhe Hou, Yuanying Qu, Xuming Bai (2019), "Translate and Summarize Complaints of Patient to Electronic Health Record by BiLSTM-CNN Attention model", the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019), Huaqiao, Suzhou, China, 19 - 21 October 2019.
21. Gangmin Li, Haowei Song, yuanying qu, Liu Lu, Xuming Bai (2019), "Medical diagnosis by of Patients’ Complaints and Machine Learning", the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019), Huaqiao, Suzhou, China, 19 – 21, October, 2019.
22. Zhenjin Dai, Xutao Wang, Pin Ni, Yuming Li, Gangmin Li, Xuming Bai (2019), "Named Entity Recognition based on Language Model and BiLSTM-CRF for Chinese Electronic Health Records", the 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2019), Huaqiao, Suzhou, China, 19 - 21 October 2019. ieeexplore.ieee.org/document/8965823
23. Gangmin Li *# , Yifu Qian, Yingjian Huang Jiamin Chen and Xuming Bai (2019), "Building Electronic Health Record using Voice Recognition and Big Data Techniques", Proceedings of the 2nd Symposium on Health and Education 2019 (SOHE 2019) May 24-26, 2019, Suzhou, China. Published on "Advances in Social Science, Education and Humanities Research", May 2019, ISBN 978-94-6252-731-7, ISSN, 2352-5398, DOI: doi.org/10.2991/sohe-19.2019.23, download.atlantis-press.com/article/125909252.pdf
24. Gangmin Li#, Yilin Zhao and Yong Yue (2019), "A Model to Harness Heterogeneous data for Urban Traffic", proceddings of 2019 International Conference On Information Technology, Electrical And Electronic Engineering (Iteee 2019), P296-301, Sanya, China. Jan 20-21, 2019, ISBN: 978-1-60595-606-0, ISSN: 2475-8841, DOI: 10.12783/dtcse/iteee2019/28759, http://www.dpi-proceedings.com/index.php/dtcse/article/view/28759/27843
25. Gangmin Li#, Jianze Gu and Xuming Bai (2018). "Study of the Effectiveness of TIVAPDS Treatment on Cancer through BD", ICSAI2018, Nanjing, China, 10-12th Nov, 2018. Due to publish on IEEE Conference Record Number 46413XP, ISBN:978-1-7281-0119-4. DOI: 10.1109/ICSAI.2018.8599466, https://ieeexplore.ieee.org/document/#
26. Gangmin Li# ,Songhua Liu and Xuming Bai (2018) , "Research on Design a Patient Satisfaction Scoring Model", ISERD - 466th International Conference on Medical and Health Sciences (ICMHS), Paper Code – 8609, 2018-10-02, Dublin, Ireland
27. Gautam Pal, Gangmin Li and Katie Atkinson (2018), "Big data ingestion and lifelong learning architecture ", IEEE Big Data 2018, P:5420-5423, Dec 10-13, 2018, Seattle, WA, USA.
28. Gangmin Li and Shiyang Zhang (2018), "Evaluate Cancer Patients Quality of Life after Receiving TIVAPDS Treatment through Big Data Analytics", CICET’2018, 29-31 October 2018, Tamsui Campus, Tamkang University, New Taipei, Taiwan, paper 28
29. Gangmin Li and Bei Yao (2018), "Classification of Genetic Mutations for Cancer Treatment with Machine Learning Approaches", CICET’2018, 29-31 October 2018, Tamsui Campus, Tamkang University, New Taipei, Taiwan. Paper 27
30. Gautam Pal, Gangmin Li and Katie Atkinson (2018), "Near Real-Time Big Data Stream Processing Platform Using Cassandra", IEEE Sponsored 4th International Conference for Convergence in Technology (I2CT) 2018. Mangalore, karnataka, India
31. Gautam Pal, Gangmin Li and Katie Atkinson (2018), "Big Data Real-Time Clickstream Data Ingestion Paradigm for E-Commerce Analytics", IEEE Sponsored 4th International Conference for Convergence in Technology (I2CT) 2018. Mangalore, karnataka, India
32. Gautam Pal, Gangmin Li and Katie Atkinson (2018), "Near Real-Time Big Data Stream Processing Platform Using Apache Storm", iCAST2018, September 19 - 21, 2018, Fukuoka, Japan
33. Gautam Pal, Gangmin Li and Katie Atkinson (2018), "Near Real-Time Big Data Stream Processing Platform Using Cassandra", IEEE 2 I2C on DATA STREAM MINING & PROCESSING (IEEE DSMP’ 2018), 21–25 AUGUST 2018, LVIV Ukraine.
34. Jing Qian, Gangmin Li, (2018) "Study of Elliptical Copulas on Modelling Tail Behaviours of Loss-Given-Default", International Conference on Information Society and Smart Cities (ISC’2018, 27-28 June 2018), Fitzwilliam College, University of Cambridge, Cambridge city, United Kingdom
35. Gautam Pal, Gangmin Li, Katie Atkinson (2018), "Implicit Feedback Based Recommender System Using Big Data Item-to-Item Collaborative Filtering", CICET’2018, 29-31 October 2018, Tamsui Campus, Tamkang University, New Taipei, Taiwan
36. Gautam Pal, Gangmin Li, Katie Atkinson: NoSQL Platforms and Selection Through Multi-agent Decision Making. In: IEEE 5th International Conference for Convergence in Technology, Pune, India.
37. Gautam Pal, Gangmin Li, Katie Atkinson (2018), "Top-n recommender system using big data item-to-item collaborative filtering", International Conference on INTERNET STUDIES (NETs2018), April 2-4, 2018, Takamatsu, Japan
38. Gangmin Li, Minghuang Chi and Gautam Pal (2017), "Expert CF: Sparse data matrix completion with artificial experts", The International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET 2017), Tamsui, Taipei, October 23-25, 2017.
39. Gautam Pal, Gangmin Li, Katie Atkinson (2017), "Multi-agent item to item contextual Big Data recommender system", The International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET 2017), Tamsui, Taipei, October 23-25, 2017.
40. Gangmin Li (2017). "Innovation-Driven Teaching and Learning in Internet+ Age", The third international conference on Education and Social Development, ICESD2017, Xi’an, China. 2017. On proceedings P680-686, ISBN 978-1-60595-444-8.
41. Gangmin Li (2017). "Scenario-based iterative teaching model for building innovative skills", the conference on teaching and learning reform and skills build in Internet+ age, Chengdu, China. 2017.
42. Gangmin Li (2017). "Big Data Analytics: Another buzzword of an old concept - but why?" International conference on Big Data Analytics and Business Intelligence, ICBA&BI’2017.
43. Gangmin Li, Minghang Chi (2017), "Collaborative Filtering with Experts’ Opinion", International conference on Big Data Analytics and Business Intelligence, ICBA&BI’2017.
44. Ziyang Zhang, Gangmin Li (2017), "Geographical Data Driven-Service For Mobile Applications", International conference on Big Data Analytics and Business Intelligence, ICBA&BI’2017.
45. Zhengyi Yin and Gangmin Li (2017), "Predicting users’ demographic characteristics with XGboost", International conference on Big Data Analytics and Business Intelligence, ICBA&BI’2017.
46. Junwei Rao and Gangmin Li (2017), "Valuable users predication with Gradient Boosting for Rad Hat", International conference on Big Data Analytics and Business Intelligence, ICBA&BI’2017.
47. on Big Data Analytics and Business Intelligence, ICBA&BI’2017.
48. Gangmin Li. "Organisational Knowledge Acquisition with Contested Collective Intelligence in the Web Environment", International Conference on Electronic Engineering and Computer Science (ICEECS2016), Hangzhou, China.
49. Gangmin Li (2016). "Formalisation of Contested Collective Intelligence", IIE Int’l Conference on Latest Trends in Engineering and Technology (ICLTET'2016), May 5-6, 2016 Dubai, UAE.
50. Gangmin Li (2015), "Contested Collective Intelligence for Knowledge Networks Construction and Services", International conference on Computing and Technology Innovation (CTI 2015), 27th-28th May 2016, best paper.
51. Li, Z. Shen., "A Middleware Architecture for Price Comparison Service on Mobile Phones" in the First International Conference on Information Technology and Quantitative Management, Suzhou, Jiangsu China, May, 2013.
52. Li, Gangmin (2008) "Economic sense of Metcalfe’s Law". pp. 55-59. In: Proceedings of the First International Workshop on Understanding Web Evolution (WebEvolve2008), 22 Apr 2008, Beijing, China. ISBN 978 085432885 7.
53. Boardman, R., Crouch, S., Mills, H., Newhouse, S. Li, G., and Papay, J. (2007) Towards Grid Interoperability. In: All Hands Meeting 2007, OMII-UK Workshop, 10 September - 13 September, 2007, Nottingham, UK.
54. Bradley, J., Brown, C., Carpenter, B., Chang, V., Crisp, J., Crouch, S., De Roure, D., Newhouse, S., Li, G., Papay, J., Walker, C. and Wookey, A. (2006) the OMII Software Distribution. In: All Hands Meeting 2006, 18th-21st September 2006, East Midlands Conference Centre, Nottingham.
55. Buckingham Shum, S., Uren, V., Mancini, C,. Li, G., (2004) Computer Supported Collaborative Modelling of Naturalistic Argumentation in Research Literatures. European Conference on Artificial Intelligence, Valencia, Spain.
56. Uren, V., Buckingham Shum, S., Mancini, C,. Li, G., Modelling Naturalistic Argumentation in Research Literatures. ECAI 2004, Valencia, Spain.
57. Uren, V., Buckingham Shum, S., Li, G., Domingue, J., Motta, E., (2003) Scholarly Publishing and Argument in Hyperspace. Twelfth International World Wide Web Conference, Budapest, Hungary. PDF available http://portal.acm.org/citation.cfm?id=775187
58. Li G., Uren, V., Motta, E., Buckingham Shum, S., Domingue, J., (2002) ClaiMaker: Weaving a Semantic Web of Research 1st International Semantic Web Conference (ISWC2002)Li, A.A.Hopgood, and M.J.Weller. Disembodied Agents: achieving decentralised control through a centralised blackboard.
59. G.li (1998), "multi-agent systems: Towards Computers and Humans Cohabitation". In Proc. of the 3rd Annual meeting of Young Chinese Scientists. Beijing, China. Page:88-94.
60. G.li, M.J. Weller, and A.A. Hopgood (1997). Shifting Matrix Management - A Framework for Multi-agent Cooperation. In Proceedings of PAAM'97, London, UK. Page:353-364.

1.1 Non-Refereed Conferences: (most recent at the top)

1. G. Sutcliffe and G.Li, (2000). Connecting Business Modelling to Requirements Engineering. A chapter of a book summarise all the projects under SEBPC program.
2. Selvin, A., Buckingham Shum, S., Sierhuis, M., Conklin, J., Zimmermann, B., Palus, C., Drath, W., Horth, D., Domingue, J., Motta, E. and Li, G. (2001). Compendium: Making Meetings into Knowledge Events. In Proc. of Knowledge Technologies 2001, March 4-7, 2001, Austin TX
3. Gangmin Li and Alistair G. Sutcliffe, E-Commerce and Inter-organisational Relationships. In Proceedings of ICeCE 2001, Xi'an, P.R. China, September 16-18.
4. Buckingham Shum, S., Uren, V., Li, G., Domingue, J., Motta, E., Mancini, C,. (2002) Designing Representational Coherence into an Infrastructure for Collective Sensemaking. International Workshop on Infrastructures for Distributed Collective Practices, San Diego, US.
5. Uren, V., Sereno, B,. Buckingham Shum, S., Li, G.(2002), Interfaces for capturing interpretations of research literature. Knowledge Capture Conference, Florida, USA. (pdf file available)
6. Gangmin Li (2017), "Innovation driven teaching and learning: CSE313 Big Data Analytics module report", 2017 XJTLU Annual Learning and Teaching Colloquium.
7. Gangmin Li (2017). "Innovation-Driven Teaching and Learning in Internet+ Age", the third international conference on Education and Social Development, ICESD2017, Xi’an, China. 2017
8. Gangmin Li (2017). "Scenario-based iterative teaching model for building innovative skills", the conference on teaching and learning reform and skills build in Internet+ age, Chengdu, China. 2017.