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2020 – today
- 2024
[j1]Hongtai Jing, Zhengtao Gao, Sheng Xu
, Tao Shen, Zhangzhi Peng, Shwai He, Tao You, Shuang Ye, Wei Lin, Siqi Sun:
Accurate prediction of antibody function and structure using bio-inspired antibody language model. Briefings Bioinform. 25(4) (2024)- [c3]Zhangzhi Peng:
PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks. CIKM 2024: 5475-5478 - [c2]Chentong Wang, Yannan Qu, Zhangzhi Peng, Yukai Wang, Hongli Zhu, Dachuan Chen, Longxing Cao:
Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency. ICML 2024 - [i2]Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Zachary Quinn, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Yoshua Bengio, Pranam Chatterjee, Alexander Tong, Avishek Joey Bose:
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. CoRR abs/2410.08134 (2024) - 2022
- [c1]Zhangzhi Peng, Xiaohui Huang:
Spatial-temporal Transformer Network with Self-supervised Learning for Traffic Flow Prediction. STRL@IJCAI 2022 - [i1]Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li:
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction. CoRR abs/2207.01586 (2022)
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