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MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.

H. Jiang, R. Liu, X. Yan, Z. Cai, M. Wang, and D. Wipf. CoRR, (2023)

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Qiu Jiang

Ping Jiang

Xin Jiang

Kaiyun Jiang

Jiang Yi

Other publications of authors with the same name

Efficient Halftoning via Deep Reinforcement Learning.H. Jiang, D. Xiong, X. Jiang, L. Ding, L. Chen, and K. Huang. IEEE Trans. Image Process., (2023)WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer.L. Ma, T. Gao, H. Jiang, H. Shen, and K. Huang. ICCV, page 7181-7191. IEEE, (2023)MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.H. Jiang, R. Liu, X. Yan, Z. Cai, M. Wang, and D. Wipf. CoRR, (2023)Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning.S. Chen, K. Huang, B. Li, D. Xiong, H. Jiang, and L. Claesen. ECCV Workshops (3), volume 12537 of Lecture Notes in Computer Science, page 119-135. Springer, (2020)ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.K. Huang, H. Jiang, M. Wang, G. Xiao, D. Wipf, X. Song, Q. Gan, Z. Huang, J. Zhai, and Z. Zhang. CoRR, (2023)Structured Dynamic Precision for Deep Neural Networks Quantization.K. Huang, B. Li, D. Xiong, H. Jiang, X. Jiang, X. Yan, L. Claesen, D. Liu, J. Chen, and Z. Liu. ACM Trans. Design Autom. Electr. Syst., 28 (1): 12:1-12:24 (January 2023)DARTS: Diffusion Approximated Residual Time Sampling for Low Variance Time-of-flight Rendering in Homogeneous Scattering Medium.Q. He, X. Jin, H. Jiang, and D. Du. CoRR, (2024)Halftoning with Multi-Agent Deep Reinforcement Learning.H. Jiang, D. Xiong, X. Jiang, A. Yin, L. Ding, and K. Huang. ICIP, page 641-645. IEEE, (2022)DFQF: Data Free Quantization-aware Fine-tuning.B. Li, K. Huang, S. Chen, D. Xiong, H. Jiang, and L. Claesen. ACML, volume 129 of Proceedings of Machine Learning Research, page 289-304. PMLR, (2020)NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution.D. Xiong, K. Huang, S. Chen, B. Li, H. Jiang, and W. Xu. ICCV Workshops, page 3378-3387. IEEE, (2019)

BibSonomy

Disambiguation of "Jiang, Haitian"

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MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.

Please choose a person to relate this publication to

Qiu Jiang

Ping Jiang

Xin Jiang

Kaiyun Jiang

Jiang Yi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jiang, Haitian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.

Please choose a person to relate this publication to

Qiu Jiang

Ping Jiang

Xin Jiang

Kaiyun Jiang

Jiang Yi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.