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.
Email: jitianbo@ntu.edu.cn

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.
[J] Journal Article
[C] Conference Paper

【2025】

• [J]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

• [J]Adaptive traffic signal control for energy efficiency using deep learning and consumer electronics (Early Access) [DOI][Bibtex]
  Tianbo Ji, Peng Cheng, Kechen Li, Zhichao Cao, Zexia Duan, and Chenyang Lyu
  IEEE Transactions on Consumer Electronics, 2025

【2024】

• [J]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, 2024

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

【2023】

• [C]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
  Proceedings of the 31st ACM International Conference on Multimedia (ACMMM 2023)

• [C]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
  Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

• [C]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
  Artificial Neural Networks and Machine Learning (ICANN 2023)

【2022 & Before】

• [C]Achieving Reliable Human Assessment of Open-Domain Dialogue Systems [PDF][Bibtex]
  Tianbo Ji, Yvette Graham, Gareth Jones, Chenyang Lyu, and Qun Liu
  Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)

• [J]QAScore - An Unsupervised Unreferenced Metric for the Question Generation Evaluation [DOI][Bibtex]
  Tianbo Ji, Chenyang Lyu, Gareth Jones, Liting Zhou, and Yvette Graham
  Entropy, 2022

• [C]Contrasting Human Opinion of Non-Factoid Question Answering with Automatic Evaluation [PDF][Bibtex]
  Tianbo Ji, Yvette Graham, and Gareth Jones
  Proceedings of the 2020 Conference on Human Information Interaction and Retrieval (CHIIR 2020)

Academic Activities

Reviewer

• Journal: Information Processing & Management, Artificial Intelligence Review, Journal of Supercomputing, Aquacultural Engineering, New Generation Computing, etc.
• Conference: Annual Meeting of the Association for Computational Linguistics (ACL), European Conference on Information Retrieval (ECIR), International Conference on Multimedia Modeling (MMM), etc.

Project

• National Natural Science Foundation of China (52472360)

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.)
• Theory of Transportation Big Data, Lecturer for First-year Postgraduate students majoring in Transportation (M.Eng.)
• Theory of Transportation Big Data (English), Lecturer for Postgraduate international students majoring in Transportation (M.Eng.)