Teaching Strengths
Xinyu Wang
Lecturer
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Dr. Xinyu Wang is currently a Lecturer at the School of Computer and Mathematical Sciences. He received his PhD from the University of Adelaide under the supervision of Prof. Chunhua Shen, and subsequently worked as a Research Fellow at AIML for two years, collaborating with A/Prof. Qi Wu. Xinyu has been actively publishing research papers in prestigious conferences and journals within the field of Artificial Intelligence, such as CVPR, ACL, and ICLR. He and his colleagues received the Best Paper Award at ACL 2024 for their pioneering work on using AI models to decipher ancient languages. Xinyu's current research interests span a broad range within multimodal machine learning, with a recent focus on Large Multimodal Models (LMMs). His work emphasizes improving the efficiency and accessibility of LMMs, alongside exploring their interdisciplinary applications in fields such as document analysis, paleography, game theory, and computational social sciences.
| Date | Position | Institution name |
|---|---|---|
| 2025 - ongoing | Lecturer | The University of Adelaide |
| 2023 - 2024 | Research Fellow | The University of Adelaide |
| Language | Competency |
|---|---|
| Chinese (Mandarin) | Can read, write, speak, understand spoken and peer review |
| English | Can read, write, speak, understand spoken and peer review |
| Year | Citation |
|---|---|
| 2025 | Lin, C. -T., Ng, C. C., Tan, Z. Q., Nah, W. J., Wang, X., Kew, J. L., . . . Zach, C. (2025). Text in the dark: Extremely low-light text image enhancement. Signal Processing: Image Communication, 130, 117222. |
| 2024 | Wang, P., Zhang, K., Wang, X., Han, S., Liu, Y., Wan, J., . . . Liu, Y. (2024). An open dataset for oracle bone character recognition and decipherment.. Sci Data, 11(1), 976. Scopus12 WoS6 Europe PMC1 |
| 2024 | Ng, C. C., Lin, C. T., Tan, Z. Q., Wang, X., Kew, J. L., Chan, C. S., & Zach, C. (2024). When IC meets text: Towards a rich annotated integrated circuit text dataset. Pattern Recognition, 147, 110124. Scopus2 |
| 2023 | Li, Z., Wang, X., Liu, Y., Jin, L., Huang, Y., & Ding, K. (2023). Improving Handwritten Mathematical Expression Recognition Via Similar Symbol Distinguishing. IEEE Transactions on Multimedia, 26, 90-102. Scopus7 WoS6 |
| 2023 | Liu, Y., Zhang, J., Peng, D., Huang, M., Wang, X., Tang, J., . . . Jin, L. (2023). SPTS v2: Single-Point Scene Text Spotting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(12), 1-15. Scopus33 WoS32 Europe PMC3 |
| 2021 | Liu, Y., He, T., Chen, H., Wang, X., Luo, C., Zhang, S., . . . Jin, L. (2021). Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection. International Journal of Computer Vision, 129(6), 1972-1992. Scopus28 WoS24 |
| 2020 | Wang, X., Shen, C., Li, H., & Xu, S. (2020). Human Detection Aided by Deeply Learned Semantic Masks. IEEE Transactions on Circuits and Systems for Video Technology, 30(8), 2663-2673. Scopus13 WoS11 |
| 2019 | Li, H., Wang, X., Shen, F., Li, Y., Porikli, F., & Wang, M. (2019). Real-Time Deep Tracking via Corrective Domain Adaptation. IEEE Transactions on Circuits and Systems for Video Technology, 29(9), 2600-2612. Scopus17 WoS16 |
| Year | Citation |
|---|---|
| 2025 | Wang, X., Zhuang, B., & Wu, Q. (2025). ARE LARGE VISION LANGUAGE MODELS GOOD GAME PLAYERS?. In 13th International Conference on Learning Representations Iclr 2025 (pp. 24502-24539). Scopus2 |
| 2024 | Guan, H., Yang, H., Wang, X., Han, S., Liu, Y., Jin, L., . . . Liu, Y. (2024). Deciphering Oracle Bone Language with Diffusion Models. In L. W. Ku, A. Martins, & V. Srikumar (Eds.), Proceedings of the Annual Meeting of the Association for Computational Linguistics Vol. 1 (pp. 15554-15567). THAILAND, Bangkok: ASSOC COMPUTATIONAL LINGUISTICS-ACL. DOI Scopus8 WoS3 |
| 2024 | Wang, P., Zhang, K., Wang, X., Han, S., Liu, Y., Jin, L., . . . Liu, Y. (2024). Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14804 LNCS (pp. 169-187). Athens Greece: Springer Nature Switzerland. DOI Scopus4 WoS3 |
| 2024 | Wang, X., Zhuang, B., & Wu, Q. (2024). ModaVerse: Efficiently Transforming Modalities with LLMs. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 26596-26606). WA, Seattle: IEEE COMPUTER SOC. DOI Scopus10 WoS3 |
| 2022 | Peng, D., Wang, X., Liu, Y., Zhang, J., Huang, M., Lai, S., . . . Jin, L. (2022). SPTS: Single-Point Text Spotting. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 10 pages). Online: ACM. DOI Scopus54 |
| 2021 | Ng, C. C., Nazaruddin, A. K. B., Lee, Y. K., Wang, X., Liu, Y., Chan, C. S., . . . Fan, L. (2021). ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment. In J. Llados, D. Lopresti, & S. Uchida (Eds.), Proceedings of the ... International Conference on Document Analysis and Recognition / sponsored by the IAPR TC-11 and TC-10, in cooperation with the IEEE Computer Society and IGS. International Conference on Document Analysis and Recog... Vol. 12824 LNCS (pp. 663-677). Switzerland: Springer. DOI Scopus4 |
| 2020 | Wang, X., Liu, Y., Shen, C., Ng, C. C., Luo, C., Jin, L., . . . Wang, L. (2020). On the general value of evidence, and bilingual scene-text visual question answering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) (pp. 10123-10132). online: IEEE. DOI Scopus85 WoS85 |
| 2018 | Wang, X., Li, H., Li, Y., Porikli, F., & Wang, M. (2018). Deep tracking with objectness. In IEEE International Conference on Image Processing, ICIP Vol. 2017-September (pp. 660-664). New York, NY, USA: IEEE. DOI Scopus6 |
| 2017 | Wang, X., Li, H., Li, Y., Shen, F., & Porikli, F. (2017). Robust and real-time deep tracking via multi-scale domain adaptation. In Proceedings - IEEE International Conference on Multimedia and Expo (ICME) (pp. 1338-1343). Hong Kong, China: IEEE. DOI Scopus15 |
- ARC Discovery Project (DP260102534) with A/Prof. Qi Wu - Chief Investigator (2026-2028) - $532,599
- UoA Start-up Grant - Sole Investigator (2025-2027)
- UoA Early Career Seed Funding - Sole Investigator (2025)
2025
- Semester 1 & 2 CompSci 2008/3020 Topics/Advanced Topics in Computer Science
- Trimester 3 CompSci 7327 Concepts in Artificial Intelligence and Machine Learning
- Trimester 3 CompSci 7318 Deep Learning Fundamentals
2024
- Trimester 3 CompSci 7318 Deep Learning Fundamentals
- Semester 1 CompSci 3007/7059 Artificial Intelligence
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Co-Supervisor | Efficient Video Foundation Model | Doctor of Philosophy | Doctorate | Full Time | Mr Feng Chen |
| 2025 | Co-Supervisor | Vision-and-Language in the Wild | Doctor of Philosophy | Doctorate | Full Time | Mr Zheng Yu |
| 2025 | Co-Supervisor | Foundation Models for Embodied Navigation | Doctor of Philosophy | Doctorate | Full Time | Mr Xiangyu Shi |
| 2025 | Co-Supervisor | Parameter-efficient Tuning Large Vision-Language Models | Doctor of Philosophy | Doctorate | Full Time | Mr Shuai Fu |
| 2025 | Co-Supervisor | Direct Fitting 3D Generative Models Using Volume Rendering | Master of Philosophy | Master | Full Time | Mr Jian Zhou |
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