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GONG Linxia

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About Me

I am an AI Engineer at Sony AI Lab (Github) in Zurich, Switzerland🇨🇭 since 2023, focusing on Responsible AI and AI Ethics.

Previously, I was a Research Engineer at Sea AI Lab (Github), Sea Limited (Shopee’s parent company, Stock Code: SE) in Singapore🇸🇬 from 2021 to 2023, specializing in Reinforcement Learning and Generative Models.

Prior to that, I worked as a Data Mining Research Engineer in the user profiling group at Fuxi AI Lab, NetEase (2nd biggest game company in China, Stock Code: NTES) in Hangzhou, China🇨🇳 from 2017 to 2021. In 2017, I did my internship as a Natural Language Processing consultant at Accenture in France🇫🇷.

Education

2015 - 2017Master’s degree (Diplôme d’Ingénieur)
    Courses: Machine Learning, 3D and Virtual Imaging, etc.
GPA 3.83/4.0Télécom Paris, France
2011 - 2015Bachelor’s degree in Control Science and Engineering
    Courses: Control Systems, Signals and Systems, Robotics, etc.
GPA 3.92/4.0Zhejiang University, China

Publications

  • KDD 2021 Globally optimized matchmaking in online games. [URL]
    Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui.
  • KDD 2020 oral OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena. [PDF] [URL] [DATA] [Github]
    Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, Peng Cui
  • CIKM 2020 Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui.
  • CIKM 2019 GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games. [PDF]
    Jianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye, Sha Zhao.
  • KDD 2018 NGUARD: A Game Bot Detection Framework for NetEase MMORPGs. [PDF] [URL]
    Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao.

Selected Talks

  • Game Developers Conference 2021: Find the Right Match: AI Enhanced Matchmaking Practice in Netease Games. [URL]
  • Game Developers Conference 2020: The AI Knows You Better Than Yourself: Mining Player Pursuits in Justice Online.

My Projects

Generative Models

Any-to-Any generative models (Working-In-Progress).

Preliminaries #1: Diffusion Models

Generative 3D Models

Create 3D representations from multimodal prompts, such as text, images, audio, etc.

Preliminaries: Low-Rank Adaption (LoRA)

A brief introduction to the fine-tuing method -- LoRA.

Read More

Blogs

[WIP] Building Multilingual Parallel Corpus

Related work on building cross-Language parallel corpora.
2023-07-31
6 min read

Introduction to Combinatorial Optimization

Provide a brief and basic overview of Operations Research (OR) and Combinatorial Optimization (CO) concepts that are essential for understanding the application of Reinforcement Learning for Operation Research.