Yaowei Zheng

According to our database, Yaowei Zheng authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models.

Hao Liang, Zhengyang Zhao, Meiyi Qiang, Mingrui Chen, Lu Ma, Rongyi Yu, Hengyi Feng, Shixuan Sun, Zimo Meng, Xiaochen Ma, Xuanlin Yang, Qifeng Cai, Ruichuan An, Bohan Zeng, Zhen Hao Wong, Chengyu Shen, Runming He, Zhaoyang Han, Yaowei Zheng, Fangcheng Fu, Conghui He, Bin Cui, Zhiyu Li, Weinan E, Wentao Zhang

CoRR, March, 2026

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu

CoRR, August, 2025

Lost-in-the-Middle in Long-Text Generation: Synthetic Dataset, Evaluation Framework, and Mitigation.

Junhao Zhang, Richong Zhang, Fanshuang Kong, Ziyang Miao, Yanhan Ye, Yaowei Zheng

CoRR, March, 2025

UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Yujia Qin, Yining Ye, Junjie Fang, Haoming Wang, Shihao Liang, Shizuo Tian, Junda Zhang, Jiahao Li, Yunxin Li, Shijue Huang, Wanjun Zhong, Kuanye Li, Jiale Yang, Yu Miao, Woyu Lin, Longxiang Liu, Xu Jiang, Qianli Ma, Jingyu Li, Xiaojun Xiao, Kai Cai, Chuang Li, Yaowei Zheng, Chaolin Jin, Chen Li, Xiao Zhou, Minchao Wang, Haoli Chen, Zhaojian Li, Haihua Yang, Haifeng Liu, Feng Lin, Tao Peng, Xin Liu, Guang Shi

CoRR, January, 2025

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents.

Ziyang Miao, Qiyu Sun, Jingyuan Wang, Yuchen Gong, Yaowei Zheng, Shiqi Li, Richong Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations.

Zhangchi Feng, Dongdong Kuang, Zhongyuan Wang, Zhijie Nie, Yaowei Zheng, Richong Zhang

CoRR, 2024

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Yongqiang Ma

CoRR, 2024

DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.

Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao

Proceedings of the ACM on Web Conference 2024, 2024

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

2022

Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network.

Richong Zhang, Qianben Chen, Yaowei Zheng, Samuel Mensah, Yongyi Mao

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation.

Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao

CoRR, 2022

2021

Robust Regularization with Adversarial Labelling of Perturbed Samples.

Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Regularizing Neural Networks via Adversarial Model Perturbation.

Yaowei Zheng, Richong Zhang, Yongyi Mao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification.

Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification.

Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020