Zhangzhi Peng

According to our database, Zhangzhi Peng authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Path Planning for Masked Diffusion Model Sampling.

Zhangzhi Peng, Zachary Bezemek, Sawan Patel, Jarrid Rector-Brooks, Sherwood Yao, Alexander Tong, Pranam Chatterjee

CoRR, February, 2025

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Pranam Chatterjee, Alexander Tong, Joey Bose

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

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

CoRR, 2024

Accurate prediction of antibody function and structure using bio-inspired antibody language model.

Hongtai Jing, Zhengtao Gao, Sheng Xu, Tao Shen, Zhangzhi Peng, Shwai He, Tao You, Shuang Ye, Wei Lin, Siqi Sun

Briefings Bioinform., 2024

Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency.

Chentong Wang, Yannan Qu, Zhangzhi Peng, Yukai Wang, Hongli Zhu, Dachuan Chen, Longxing Cao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks.

Zhangzhi Peng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2022

E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction.

Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li

CoRR, 2022

Spatial-temporal Transformer Network with Self-supervised Learning for Traffic Flow Prediction.

Zhangzhi Peng, Xiaohui Huang

Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022