A unified cross-attention model for predicting antigen binding specificity to both HLA and TCR molecules

no code implementations • 8 Apr 2024 • Chenpeng Yu, Xing Fang, Hui Liu

Notably, on a large-scale COVID-19 antigen-TCR binding test set, our method improves performance by at least 9% compared to the current state-of-the-art methods.

YAYI 2: Multilingual Open-Source Large Language Models

no code implementations • 22 Dec 2023 • Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li, Rui Yan, Rui Zou, Ruiqun Li, Taiwen Huang, Xiaodong Wang, Xiaofei Wu, Xin Peng, Xina Zhang, Xing Fang, Xinglin Xiao, Yanni Hao, Yao Dong, Yigang Wang, Ying Liu, Yongyu Jiang, Yungan Wang, Yuqi Wang, Zhangsheng Wang, Zhaoxin Yu, Zhen Luo, Wenji Mao, Lei Wang, Dajun Zeng

As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world tasks, and even have been regarded as a potential path to the artificial general intelligence.

Model Predictive Control with Preview: Recursive Feasibility and Stability

no code implementations • 25 Feb 2022 • Xing Fang, Wen-Hua Chen

This paper proposes a stabilising model predictive control (MPC) scheme with preview information of disturbance for nonlinear systems.

Model Predictive Control

Modeling Multivariate Cyber Risks: Deep Learning Dating Extreme Value Theory

no code implementations • 15 Mar 2021 • Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu, Peng Zhao

The proposed model not only enjoys the high accurate point predictions via deep learning but also can provide the satisfactory high quantile prediction via extreme value theory.