GONG Linxia
About Me
I was an AI Research Engineer at Sony AI Lab (Github) in Zurich, Switzerland from 2023 to 2025, focusing on Responsible AI, with work on fairness evaluation and foundation model post-training for safety alignment. I worked with reinforcement learning, reward modeling, vision-language models, and computer vision. Research on AI fairness benchmarking was published in Nature and featured on December 2025 cover.
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 Multimodal Generative AI. I worked with JAX, PyTorch, diffusion models, and TPU/GPU distributed training.
Prior to that, I worked as a Research Engineer at Fuxi AI Lab, NetEase (2nd biggest game company in China, Stock Code: NTES) in Hangzhou, China from 2017 to 2021. I led research on player matchmaking optimization and also worked on anomaly detection and user engagement prediction, using deep learning, graph embeddings, and reinforcement learning. My team built matchmaking systems were deployed to 13 game modes with a 10% average reduction in player churn. and the related research was accepted at KDD'2020 (Oral), KDD'2021, CIKM'2019, CIKM'2020, and presentated at GDC'2021. The research on game bot detection was accepted at KDD'2018.
Education
| 2015 - 2017 | Master’s degree (Diplôme d’Ingénieur) Courses: Machine Learning, 3D and Virtual Imaging, etc. | GPA 3.83/4.0 | Télécom Paris, France |
| 2011 - 2015 | Bachelor’s degree in Control Science and Engineering Courses: Control Systems, Signals and Systems, Robotics, etc. | GPA 3.92/4.0 | Zhejiang University, China |
Publications
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.