Yang Gao (高扬)  Technical Staff Mosi Intelligence (MOSI) Shanghai, China. WeChat: garythevoid Email: gaoy2140@gmail.com [Github] [Google Scholar] [LinkedIn] [X] [知乎]

About

I am currently a Member of Technical Staff at Mosi Intelligence (MOSI), focusing on performance optimization for large-scale training and inference systems. My work spans multimodal systems including audio/video understanding and generation.

Previously, I worked on large language model pre-training at InternLM (书生-浦语) in Shanghai AI Laboratory. I received Master (2022) and Bachelor (2019) degrees in School of Computer Science and Technology from Northwestern Polytechnical University (NWPU), advised by Prof. Peng Wang.

My research and engineering interests focus on:

• Large-Scale Training Systems
• High-Performance Inference Systems
• Audio/Video Understanding and Generation

We are hiring engineers and researchers interested in AI infrastructure, large-scale training/inference systems, and multimodal foundation models. Please feel free to contact me if you are interested in joining us.

Experiences

Academia

• [2019.09 - 2022.04] M.S. at Northwestern Polytechnical University (Postgraduate recommendation)
• [2015.09 - 2019.06] B.S. at Northwestern Polytechnical University

Industry

• [2022.06 - 2025.06] Shanghai AI Laboratory, Research Engineer on Large Language Model Pre-training
• [2021.05 - 2022.03] SenseTime Research, Engineer Intern on Automated Machine Learning
• [2020.12 - 2021.05] Baidu Research, Research Intern on Light-weight Object Detection

Selected Publications

(* denotes equal contributions)

• MOSS-TTS Technical Report
  OpenMOSS Team
  [paper] [code] [huggingface]
  

• MOVA: Towards Scalable and Synchronized Video-Audio Generation
  OpenMOSS Team
  [paper] [code] [huggingface]
  

• Intern-S1: A Scientific Multimodal Foundation Model
  InternLM Team
  [paper] [code] [huggingface]
  

• InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
  Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
  [paper] [code] [huggingface]
  

• Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training
  Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun
  IWQoS 2024. [paper]

• InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
  Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
  NeurIPS 2024. [paper] [code] [huggingface]
  

• InternLM2 Technical Report
  InternLM Team
  [paper] [code] [huggingface]
  

• Internlm: A multilingual language model with progressively enhanced capabilities
  InternLM Team
  [paper] [code] [huggingface]
  

• NAS-FCOS: Fast neural architecture search for object detection
  *Ning Wang, *Yang Gao, *Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang
  CVPR 2020. [paper] [code]
  

Honors & Awards

• Intern Future Star (Top 5%), SenseTime, 2021
• Outstanding Graduate of Master Students (Top 5%), NWPU, 2022
• Excellent First-class Scholarship for Master Students, NWPU. (Three consecutive years), 2020, 2021, 2022
• Outstanding Graduate of Bachelor Students (Top 10%), NWPU, 2019
• Excellent First-class Scholarship for Bachelor Students, NWPU, 2017, 2018