Yangtian Zhang

According to our database, Yangtian Zhang authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learning Permutation Distributions via Reflected Diffusion on Ranks.

Sizhuang He, Yangtian Zhang, Shiyang Zhang, David van Dijk

CoRR, March, 2026

STRIDE: Post-Training LLMs to Reason and Refine Bio-Sequences via Edit Trajectories.

Daiheng Zhang, Shiyang Zhang, Sizhuang He, Yangtian Zhang, Syed Asad Rizvi, David van Dijk

CoRR, March, 2026

2025

Non-Markovian Discrete Diffusion with Causal Language Models.

Yangtian Zhang, Sizhuang He, Daniel LeVine, Lawrence Zhao, David Zhang, Syed Asad Rizvi, Emanuele Zappala, Rex Ying, David van Dijk

CoRR, February, 2025

Non-Markovian Discrete Diffusion with Causal Language Models.

Yangtian Zhang, Sizhuang He, Daniel LeVine, Lawrence Zhao, David Zhang, Syed Asad Rizvi, Shiyang Zhang, Emanuele Zappala, Rex Ying, David van Dijk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Flow Matching for Collaborative Filtering.

Chengkai Liu, Yangtian Zhang, Jianling Wang, Rex Ying, James Caverlee

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

CaLMFlow: Volterra Flow Matching using Causal Language Models.

Sizhuang He, Daniel LeVine, Ivan Vrkic, Marco Francesco Bressana, David Zhang, Syed Asad Rizvi, Yangtian Zhang, Emanuele Zappala, David van Dijk

CoRR, 2024

A Survey on Diffusion Models for Recommender Systems.

Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang

CoRR, 2024

2023

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing.

Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking.

Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking.

Yangtian Zhang, Huiyu Cai, Chence Shi, Bozitao Zhong, Jian Tang

CoRR, 2022

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery.

Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Jun-Kun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang

CoRR, 2022

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding.

Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022