Brief Biography

I am currently a lecturer from School of Transportation and Civil Engineering, Nantong University. In 2022, I obtained my PhD in Computer Science (Natural Language Processing) at Dublin City University (funded by ADAPT Centre), and I was co-supervised by Qun Liu, Yvette Graham, and Gareth Jones. My research interests mainly focus on Natural Language Processing (NLP), including the Evaluation of NLP, Large (Vision-)Language Models, and Visual Question Answering. Recently, I have extended my research to Multidisciplinary Applications of AI, such as Intelligent Transportation Systems (ITS), Transport Emission Prediction, and LLMs for Transportation.
Emails:
jitianbo@ntu.edu.cn
tianbo.ji2@mail.dcu.ie (receive-only)

Education

• 2017 – 2022, Doctor of Philosophy (Ph.D.), Computer Science, ADAPT Centre at Dublin City University, Ireland
  Thesis title: Human Evaluation and Statistical Analyses on Machine Reading Comprehension, Question Generation and Open-domain Dialogue
• 2015 – 2016, Master of Science (M.Sc.), Computing Science, University College Cork, Ireland
• 2011 – 2015, Bachelor of Engineering (B.Eng.), Software Engineering, Nanjing University of Information Science & Technology, China

Employment

• 2023 – present, Lecturer, School of Transportation and Civil Engineering, Nantong University, Nantong, Jiangsu, China
• 2021 (Jan – Jun), Research Internship, Huawei Noah’s Ark Lab, Shenzhen, Guangdong, China
• 2017 – 2019, Research Assistant, Maynooth University, Maynooth, Co. Kildare, Ireland

Publications

Listed below are some peer-reviewed papers for which I am the (^†co-)first or ^*corresponding author. You can find all my publication on Google Scholar or ResearchGate.

• Utilizing the Internet of Things and Big Data for Traffic Management: The Role of Physical Network Systems and Collaborative Signal Light Control (Early Access) [DOI] [Bibtex]
  Tianbo Ji, Quanwei Sun, Kechen Li, and Zexia Duan*
  IEEE Transactions on Intelligent Transportation Systems, 2025

• Urban Transport Emission Prediction Analysis through Machine Learning and Deep Learning Techniques [DOI] [Bibtex]
  Tianbo Ji, Kechen Li, Quanwei Sun, and Zexia Duan^*
  Transportation Research Part D: Transport and Environment, vol. 135, p. 104 389, 2024, issn: 1361-9209.

• Achieving Reliable Human Assessment of Open-Domain Dialogue Systems [PDF] [Bibtex]
  Tianbo Ji, Yvette Graham, Gareth Jones, Chenyang Lyu, and Qun Liu
  in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Volume 1: Long Papers, Dublin, Ireland: Association for Computational Linguistics, May 2022, pp. 6416–6437.

• Graph-based video-language learning with multi-grained audio-visual alignment [DOI] [Bibtex]
  Chenyang Lyu, Wenxi Li, Tianbo Ji^*, Longyue Wang, Liting Zhou, Cathal Gurrin, Linyi Yang, Yi Yu, Yvette Graham, and Jennifer Foster
  in Proceedings of the 31st ACM International Conference on Multimedia (ACM MM’23), Ottawa ON, Canada: Association for Computing Machinery, 2023, pp. 3975–3984, isbn: 9798400701085.

• Document-Level Machine Translation with Large Language Models [PDF] [Bibtex]
  Longyue Wang^†, Chenyang Lyu^†, Tianbo Ji^†, Zhirui Zhang, Dian Yu, Shuming Shi, and Zhaopeng Tu
  in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore: Association for Computational Linguistics, Dec. 2023, pp. 16 646–16 661.

• Semantic Enrichment for Video Question Answering with Gated Graph Neural Networks [PDF] [Bibtex]
  Chenyang Lyu, Wenxi Li, Tianbo Ji^*, Yi Yu, and Longyue Wang
  in 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), 2024, pp. 11 616–11 620.

• Gated Multi-modal Fusion with Cross-modal Contrastive Learning for Video Question Answering [DOI] [Bibtex]
  Chenyang Lyu, Wenxi Li, Tianbo Ji^*, Liting Zhou, and Cathal Gurrin
  in Artificial Neural Networks and Machine Learning (ICANN 2023), Cham: Springer Nature Switzerland, 2023, pp. 427–438, isbn: 978-3-031-44195-0.

• QAScore - An Unsupervised Unreferenced Metric for the Question Generation Evaluation [DOI] [Bibtex]
  Tianbo Ji, Chenyang Lyu, Gareth Jones, Liting Zhou, and Yvette Graham
  Entropy, vol. 24, no. 11, 2022, issn: 1099-4300.

• Contrasting Human Opinion of Non-Factoid Question Answering with Automatic Evaluation [PDF] [Bibtex]
  Tianbo Ji, Yvette Graham, and Gareth Jones
  in Proceedings of the 2020 Conference on Human Information Interaction and Retrieval (CHIIR’20), Vancouver BC, Canada: Association for Computing Machinery, 2020, pp. 348–352, isbn: 9781450368926.

Academic Activities

Reviewer

• Journal: Artificial Intelligence Review, Journal of Supercomputing, New Generation Computing, Drones, PLOS One, Applied Sciences, Social Sciences & Humanities Open.
• Conference: Annual Meeting of the Association for Computational Linguistics (ACL), European Conference on Information Retrieval (ECIR), International Conference on Multimedia Modeling (MMM).

Project

• National Natural Science Foundation of China (52272322)

Membership

• Member, IEEE (Institute of Electrical and Electronics Engineers), with IEEE Computer Society and IEEE Intelligent Transportation Systems Society
• Member, CCF (China Computer Federation)
• Member, CAAI (Chinese Association for Artificial Intelligence)

Teaching

• Transportation Big Data Analysis and Processing, Lecturer for Junior Undergraduate students majoring in Traffic Engineering (B.Eng.)
• Course Design of Transportation Big Data Analysis and Processing, Lecturer for Junior Undergraduate students majoring in Traffic Engineering (B.Eng.)
• Transportation Big Data Analysis and Processing, Lecturer for Junior Undergraduate students majoring in Traffic Device (B.Eng.)
• Transportation Big Data Theory, Lecturer for First-year Postgraduate students majoring in Transportation (M.Eng.)
• Professional English for Traffic Engineering, Guest Lecturer for First-year Postgraduate students majoring in Transportation (M.Eng.)