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Huiying Li

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Articles

Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

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By Jian Hu, Huiying Li, Hao Zhang
| huggingface.co
Published on Jul 22 · Submitted by taesiri on Jul 27 #1 Paper of the day · NVIDIA Abstract Agentic reinforcement learning research is constant algorithm modification, new estimators, new pipeline stages, new rollout schemes, and in mainstream frameworks each change threads through layers of trainer, distributed backend, and rollout glue: the cost lands on the researcher at every iteration.
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ImmuGT-ConRes: a consistency learning residual network for predicting pan-cancer immunotherapy response from gene expression data

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By Keru Ma, Hao Wang, Genshen Mo, Xinyue Zhang, Meihong Yan, Jialin Wang, Haonan Xie, Yuze Huang, Huiying Li, Dalin Li, Peng Han, Shenghan Lou, Junchao Shao
| Nature Verified
Abstract Immunotherapy is leading the transformation in cancer treatment, but its response rate remains low, and there is a scarcity of immune targets that can produce lasting effects. Multi-omics data is widely used in immunotherapy. However, traditional analysis methods often struggle to uncover hidden correlations within the data, limiting the exploration of potential immunotherapy targets.
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Author Correction: Increasing the efficiency and targeting range of cytidine base editors through fusion of a single-stranded DNA-binding protein domain

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By Xiaohui Zhang, Liang Chen, Biyun Zhu, Liren Wang, Caiyu Chen, Mengjia Hong, Yifan Huang, Huiying Li, Shuming Yin, Zuozhen Yang, Meizhen Liu, Ying Zhang, Zhiyong Mao, Yuxuan Wu, Mingyao Liu, Honghui Han, Bailian Cai, Weishi Yu
| Nature Verified
Correction to: Nature Cell Biologyhttps://doi.org/10.1038/s41556-020-0518-8, published online 11 May 2020. Since the version of the article initially published, errors have been found requiring five corrections. Please note that the corrections do not affect the key findings and conclusions of our article.
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