Beihang University

37 Xueyuan Rd., Haidian Dist.

Beijing, China, 100191

• 2022.09-Present School of Computer Science and Engineering, Beihang University Ph.D.
• 2017.09-2021.06 Shen Yuan Honors College, Beihang University B.Eng.

• Natural Language Processing
• Large Language Models

• Natural Language: Chinese (Native); English (CET-6); Japanese (JLPT-N2)
• Programming Language:Python; C++; Java; JavaScript; PHP; Go; Verilog HDL; MATLAB
• Typesetting Language:LaTeX; Markdown
• Programming Framework:PyTorch; TensorFlow

1. Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo and Yongqiang Ma: LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.ACL2024.[arXiv]
2. Junfan Chen, Richong Zhang,Yaowei Zheng, Qianben Chen, Chunming Hu and Yongyi Mao: DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification.WWW2024.[DOI][arXiv][Code]
3. Richong Zhang, Qianben Chen,Yaowei Zheng, Samuel Mensah and Yongyi Mao: Aspect-level Sentiment Analysis via a Syntax-based Neural Network. IEEE/ACM Transactions on Audio, Speech, and Language Processing.[DOI]
4. Xiaohui Guo, Richong Zhang,Yaowei Zheng and Yongyi Mao: Robust Regularization with Adversarial Labelling of Perturbed Samples.IJCAI2021.[DOI][arXiv]
5. Yaowei Zheng, Richong Zhang and Yongyi Mao: Regularizing Neural Networks via Adversarial Model Perturbation.CVPR2021.[DOI][arXiv][Code][Poster][Video]
6. Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah and Yongyi Mao: Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification.WWW2020.[DOI]
7. Yaowei Zheng, Richong Zhang, Samuel Mensah and Yongyi Mao: Replicate, Walk, and Stop on Syntax: an Effective Neural Network Model for Aspect-Level Sentiment Classification.AAAI2020.[DOI][Code]

• Conference Reviewer: AAAI, EMNLP, NAACL, COLING
• Journal Reviewer: Neural Computation

PinnedLoading

1. LLaMA-FactoryLLaMA-FactoryPublic

   Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

   Python 47.4k 5.8k

2. EasyR1EasyR1Public

   EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

   Python 2.1k 152

3. ChatGLM-Efficient-TuningChatGLM-Efficient-TuningPublic archive

   Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

   Python 3.7k 475

4. FastEditFastEditPublic

   🩹Editing large language models within 10 seconds⚡

   Python 1.3k 98

5. AMP-RegularizerAMP-RegularizerPublic

   Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

   Python 37 9

6. MathRulerMathRulerPublic

   A light-weight tool for evaluating LLMs in rule-based ways.

   Python 46 2