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Yuxuan Song
Yuxuan Song
Tsinghua University
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Title
Cited by
Cited by
Year
Activation maximization generative adversarial nets
Z Zhou, H Cai, S Rong, Y Song, K Ren, W Zhang, Y Yu, J Wang
arXiv preprint arXiv:1703.02000, 2017
1002017
Lipschitz generative adversarial nets
Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang
International Conference on Machine Learning, 7584-7593, 2019
912019
Guiding the one-to-one mapping in CycleGAN via optimal transport
G Lu, Z Zhou, Y Song, K Ren, Y Yu
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4432-4439, 2019
242019
Follow your path: a progressive method for knowledge distillation
W Shi, Y Song, H Zhou, B Li, L Li
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
182021
Improving unsupervised domain adaptation with variational information bottleneck
Y Song, L Yu, Z Cao, Z Zhou, J Shen, S Shao, W Zhang, Y Yu
arXiv preprint arXiv:1911.09310, 2019
172019
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Y Song, M Xu, L Yu, H Zhou, S Shao, Y Yu
The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2019
122019
Discriminator contrastive divergence: Semi-amortized generative modeling by exploring energy of the discriminator
Y Song, Q Ye, M Xu, TY Liu
arXiv preprint arXiv:2004.01704, 2020
102020
Understanding the effectiveness of lipschitz-continuity in generative adversarial nets
Z Zhou, Y Song, L Yu, H Wang, J Liang, W Zhang, Z Zhang, Y Yu
arXiv preprint arXiv:1807.00751, 2018
10*2018
Coarse-to-fine: a hierarchical diffusion model for molecule generation in 3d
B Qiang, Y Song, M Xu, J Gong, B Gao, H Zhou, WY Ma, Y Lan
International Conference on Machine Learning, 28277-28299, 2023
82023
Do you have the right scissors? tailoring pre-trained language models via monte-carlo methods
N Miao, Y Song, H Zhou, L Li
arXiv preprint arXiv:2007.06162, 2020
72020
Improving maximum likelihood training for text generation with density ratio estimation
Y Song, N Miao, H Zhou, L Yu, M Wang, L Li
International Conference on Artificial Intelligence and Statistics, 122-132, 2020
52020
Learning from deep model via exploring local targets
W Shi, Y Song, H Zhou, B Li, L Li
22020
Towards efficient and unbiased implementation of lipschitz continuity in GANs
Z Zhou, J Shen, Y Song, W Zhang, Y Yu
arXiv preprint arXiv:1904.01184, 2019
22019
Volume Ranking and Sequential Selection in Programmatic Display Advertising
Y Song, K Ren, H Cai, W Zhang, Y Yu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
12017
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Y Song, J Gong, Y Qu, H Zhou, M Zheng, J Liu, WY Ma
arXiv preprint arXiv:2403.15441, 2024
2024
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation
Y Song, J Gong, M Xu, Z Cao, Y Lan, S Ermon, H Zhou, WY Ma
Advances in Neural Information Processing Systems 36, 2024
2024
Equivariant Flow Matching with Hybrid Probability Transport
Y Song, J Gong, M Xu, Z Cao, Y Lan, S Ermon, H Zhou, WY Ma
arXiv preprint arXiv:2312.07168, 2023
2023
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
Y Song, J Gong, H Zhou, M Zheng, J Liu, WY Ma
The Twelfth International Conference on Learning Representations, 2023
2023
A HIERARCHICAL FRAGMENT-BASED MODEL FOR 3D DRUG-LIKE MOLECULE GENERATION
B Qiang, Y Song, M Xu, J Gong, H Zhou, WY Ma, Y Lan
2022
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Articles 1–19