Staff Profile

School of Science and Technology People Key Staff Staff Profile
Dr. Li Zongxi Roy 李宗禧博士
PhD CityU
MIEEE, MACM
Lecturer
School of Science and Technology

Biography

Dr. Roy Li is a lecturer in the Department of Electronic Engineering & Computer Science. He has served as the principal investigator (PI) and Co-PI for several school projects related to natural language processing (NLP). Dr. Li received his Ph.D. in Computer Science from City University of Hong Kong. His research interests encompass a broad range of NLP topics, including sentiment analysis, long document modeling, and their applications in other fields. His works have been published in top conferences like AAAI and ACL, and international journals such as Knowledge-Based Systems, Neurocomputing, Cognitive Science, Pattern Recognition, Information Processing & Management, IEEE Transactions on Affective Computing, IEEE Transactions on Artificial Intelligence, and ACM Transactions on Intelligent Systems and Technology.
 
In addition to his research work, Dr. Li has been actively involved in academic services. He serves as a reviewer for a number of high-impact journals and high-rank NLP related conferences, such as AAAI, ACL, EMNLP, etc. He is an Assistant Executive Editor of the Natural Language Processing Journal (Elsevier) and is an Editorial Board Member of Computer & Education: Artificial Intelligence and Computer & Education: X-Reality.
 

Teaching Areas & Research Interests

  • Natural language processing
  • Sentiment analysis
  • Language modeling
  • Long document processing
  • Smart city
  • Education technology

Academic & Professional Experience

Project experience:
  • Investigator, “Enhancing Information Literacy in Course Web Intelligence, Course Enhancement Fund under UGC Teaching and Learning Project 2017 (CEF-2017/03), Research Grant Council, 2017, HK$15,000.
  • Investigator, “Research on Problem-Solving Ability Measurement Technology and Mechanism based on Natural Language Processing and Discourse Analysis in Collaborative Learning Contexts”, 6197021197, National Natural Science Fund of China, 2019-2022, HK$702,775.
  • Co-I, “Extracting Causal Relationship Between Emotion and Cause from Documents”, Research Matching Grant in the Central Pot (CP/2022/02), Hong Kong Metropolitan University, 2022-2024, HK$948,896.
  • Co-I, “Data Augmentation Techniques for Contrastive Sentence Representation Learning”, Lam Woo Research Fund (LWP20019), Lingnan University, 2022-2024, HK$390,000.
  • Co-I, “Intelligent Data-driven Wireless Networks”, Research Matching Grant in the Central Pot (CP/2022/2.1), Hong Kong Metropolitan University, 2023-2025, HK$1,430,800.
  • PI, “Preliminary Study of Leveraging Abstract Meaning Representation in Natural Language Processing Tasks”, R&D Fund (RD/2022/1.14), Hong Kong Metropolitan University, 2022-2023, HK$139,000.

Awards:

  • Distinguished Reviewer, 7th International Conference on Behavioural and Social Computing, 2020
  • Outstanding Reviewer, The 2020 Conference on Empirical Methods in Natural Language Processing, 2020
  • Best Research Paper Award, The 20th IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020
  • Best Paper Runner-up Award, The 9th International Conference on Behavioral and Social Computing, 2022

 

Selected Publications

Journal Articles

  • Chen, X., Li, Q., Li, Z., Xie, H., Wang F. L., & Wang, J. (2022). A reinforcement learning based two-stage model for emotion cause pair extraction. IEEE Transactions on Affective Computing. DOI: 10.1109/TAFFC.2022.3218648.
  • Li, Z., Li, X., Xie, H., Wang, F. L., Leng, M., Li, Q., & Tao, X. (2023). A novel dropout mechanism with label extension schema toward text emotion classification. Information Processing & Management, 60(2), 103173.
  • Zhang, H., Li, Z.*, Xie, H., Lau, R. Y., Cheng, G., Li, Q., & Zhang, D. (2022). Leveraging statistical information in fine-grained financial sentiment analysis. World Wide Web, 25(2), 513-531.
  • Chen, X., Xie, H., Cheng, G., & Li, Z. (2022). A decade of sentic computing: topic modeling and bibliometric analysis. Cognitive Computation, 14(1), 24-47.
  • Li, X., Li, Z.*, Xie, H., & Li, Q. (2021). Merging statistical feature via adaptive gate for improved text classification. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 15, pp. 13288-13296).
  • Chen, X., Xie, H., Li, Z., & Cheng, G. (2021). Topic analysis and development in knowledge graph research: A bibliometric review on three decades. Neurocomputing, 461, 497-515.
  • Li, Z., Xie, H., Xu, G., Li, Q., Leng, M., & Zhou, C. (2021). Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. Pattern Recognition, 113, 107824.
  • Li, Z., Xie, H., Cheng, G., & Li, Q. (2021). Word-level emotion distribution with two schemas for short text emotion classification. Knowledge-Based Systems, 227, 107163.

Selected Professional & Community Services

  • Executive Assistant Editor, Natural Language Processing Journal (Elsevier)
  • Editorial Board Member, Computer & Education: Artificial Intelligence (Elsevier)
  • Editorial Board Member, Computer & Education: X-Reality (Elsevier)

Further Information

Link to personal homepage

Link to Google Scholar page

Modified Date: 25 Oct, 2023
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Jonathan Chiu
Marketing Director
3DP Technology Limited

Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.

Krutz Cheuk
Biomedical Engineer
Hong Kong Sanatorium & Hospital

After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.

Hugo Leung
Software and Hardware Engineer
Innovation Team Company Limited

Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.

The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.

Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.

Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.

Course Code Title Credits
  COMP S321F Advanced Database and Data Warehousing 5
  COMP S333F Advanced Programming and AI Algorithms 5
  COMP S351F Software Project Management 5
  COMP S362F Concurrent and Network Programming 5
  COMP S363F Distributed Systems and Parallel Computing 5
  COMP S382F Data Mining and Analytics 5
  COMP S390F Creative Programming for Games 5
  COMP S492F Machine Learning 5
  ELEC S305F Computer Networking 5
  ELEC S348F IOT Security 5
  ELEC S371F Digital Forensics 5
  ELEC S431F Blockchain Technologies 5
  ELEC S425F Computer and Network Security 5
 Course CodeTitleCredits
 ELEC S201FBasic Electronics5
 IT S290FHuman Computer Interaction & User Experience Design5
 STAT S251FStatistical Data Analysis5
 Course CodeTitleCredits
 COMPS333FAdvanced Programming and AI Algorithms5
 COMPS362FConcurrent and Network Programming5
 COMPS363FDistributed Systems and Parallel Computing5
 COMPS380FWeb Applications: Design and Development5
 COMPS381FServer-side Technologies and Cloud Computing5
 COMPS382FData Mining and Analytics5
 COMPS390FCreative Programming for Games5
 COMPS413FApplication Design and Development for Mobile Devices5
 COMPS492FMachine Learning5
 ELECS305FComputer Networking5
 ELECS363FAdvanced Computer Design5
 ELECS425FComputer and Network Security5