Research output per year
Research output per year
Personal profile
Biography
My research interests lie in computer vision, generative artificial intelligence, human action and skill understanding, and interdisciplinary applications. Find out more on https://finspire13.github.io/
Education/Academic qualification
Computer Science, PhD, Peking University
Award Date: 1 Jul 2022
Research expertise keywords
- Computer Vision
- Generative AI
- Healthcare Data Science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents
Deng, X., Miletic, V., Trinh, E., Gao, J., Xu, C. & Liu, D., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). USA: Springer Science + Business Media, p. 144-153 10 p. (Lecture Notes in Computer Science; vol. 15964 LNCS).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
1 Link opens in a new tab Citation (Scopus) -
Enhancing Production of Synthetic Radar Images from Geostationary Satellite Observations through Generative Diffusion Models
Hu, Y., Liu, D., Protat, A., Louf, V., Brook, J. & Xu, C., Jan 2026, In: Artificial Intelligence for the Earth Systems. 5, 1, 18 p., e250016.Research output: Contribution to journal › Article › peer-review
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Anti-Exposure Bias in Diffusion Models
Zhang, J., Liu, D., Park, E., Zhang, S. & Xu, C., 23 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 59458-59478 21 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
Open Access4 Link opens in a new tab Citations (Scopus) -
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
Xu, S., Wang, Y., Liu, D., Du, B. & Xu, C., 2025, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 6411-6433 23 p. (2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
Open Access -
DiffAct++: Diffusion Action Segmentation
Liu, D., Li, Q., Dinh, A. D., Jiang, T., Shah, M. & Xu, C., 2025, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47, 3, p. 1644-1659 16 p.Research output: Contribution to journal › Article › peer-review
11 Link opens in a new tab Citations (Scopus)
Projects
- 1 Active
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Enabling VLA Assistive Robotics for the Future of Aged Care in Australia
Xu, C. (Investigator 01), Liu, D. (Investigator 02) & Wang, Y. (Investigator 03)
ARC Australian Research Council
1/10/26 → 30/09/29
Project: Research
Prizes
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Early Career Researcher Award Honourable Mention, Australian Pattern Recognition Society (APRS)
Liu, D. (Recipient), 2025
Prize: Award
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National AI Flagship Scheme Grant Award, National Computational Infrastructure (NCI)
Liu, D. (Recipient), 2024
Prize: Award