Items where Author is "Dong, M."
Article
Wang, C. 
ORCID: 0009-0001-9477-6939, Yan, S., Chen, Y. , Wang, X., Wang, Y. ORCID: 0000-0002-6220-029X, Dong, M., Yang, X. ORCID: 0000-0002-9299-5951, Li, D. ORCID: 0000-0003-3103-8442, Zhu, R. ORCID: 0000-0002-9944-0369, Clifton, D. A. ORCID: 0000-0002-9848-8555, Dick, R. P. ORCID: 0000-0001-5428-9530, Lv, Q., Yang, F. ORCID: 0000-0003-2164-8175, Lu, T. ORCID: 0000-0002-6633-4826, Gu, N. ORCID: 0000-0002-2915-974X & Shang, L. (2025).
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Generation.
IEEE Transactions on Circuits and Systems for Video Technology,
doi: 10.1109/tcsvt.2025.3548728
Xu, Z. ORCID: 0009-0008-4497-724X, Xu, H. ORCID: 0009-0000-7570-4078, Lu, Z. ORCID: 0009-0005-6159-6914 , Zhao, Y. ORCID: 0000-0001-5902-1306, Zhu, R. ORCID: 0000-0002-9944-0369, Wang, Y. ORCID: 0000-0002-6220-029X, Dong, M. ORCID: 0000-0002-8897-5931, Chang, Y. ORCID: 0000-0003-2607-916X, Lv, Q. ORCID: 0000-0002-9437-1376, Dick, R. P. ORCID: 0000-0001-5428-9530, Yang, F. ORCID: 0000-0003-2164-8175, Lu, T. ORCID: 0000-0002-6633-4826, Gu, N. ORCID: 0000-0002-2915-974X & Shang, L. ORCID: 0000-0003-3944-7531 (2024).
Can Large Language Models Be Good Companions?.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(2),
pp. 1-41.
doi: 10.1145/3659600
Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. & Xue, J-H. (2018).
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification.
Information Sciences, 481,
pp. 69-80.
doi: 10.1016/j.ins.2018.12.061
Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. & Xue, J-H. (2014).
Spectral non-local restoration of hyperspectral images with low-rank property.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(6),
pp. 3062-3067.
doi: 10.1109/jstars.2014.2370062
Conference or Workshop Item
Dong, F., Chen, M., Zhou, J. , Shi, Y., Chen, Y., Dong, M., Wang, Y., Li, D., Yang, X., Zhu, R. ORCID: 0000-0002-9944-0369, Dick, R., Lv, Q., Yang, F., Lu, T., Gu, N. & Shang, L. (2024).
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge.
In: Globerson, A., Mackey, L., Belgrave, D. , Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (Eds.),
Advances in Neural Information Processing Systems.
NeurIPS 2024, 10-15 Dec 2024, Vancouver, Canada.