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Yangtian Zhang
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2020 – today
- 2024
- [i6]Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang:
A Survey on Diffusion Models for Recommender Systems. CoRR abs/2409.05033 (2024) - [i5]Sizhuang He, Daniel LeVine, Ivan Vrkic, Marco Francesco Bressana, David Zhang, Syed Asad Rizvi, Yangtian Zhang, Emanuele Zappala, David van Dijk:
CaLMFlow: Volterra Flow Matching using Causal Language Models. CoRR abs/2410.05292 (2024) - 2023
- [c3]Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang:
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. ICLR 2023 - [c2]Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang:
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. NeurIPS 2023 - [i4]Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang:
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. CoRR abs/2306.01794 (2023) - 2022
- [c1]Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang:
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. NeurIPS 2022 - [i3]Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR abs/2202.08320 (2022) - [i2]Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang:
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. CoRR abs/2206.02096 (2022) - [i1]Yangtian Zhang, Huiyu Cai, Chence Shi, Bozitao Zhong, Jian Tang:
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. CoRR abs/2210.06069 (2022)
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last updated on 2024-11-19 20:49 CET by the dblp team
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