CV

Education

• B.S. in Shanghai Jiao Tong University, 2014-2018
• Ph.D in The University of Sydney, 2019-2022
• PostDoc in The University of Tokyo, 2022-2023

Work experience

• 07/2024 - Now: Research Scientist
  • Google Research
• 03/2024 - 07/2024: Research Engineer
  • TikTok Australia (Built RLHF for Multi-Modal Large Language Model from scratch)
• Summer 2022: Research Scientist Intern
  • Salesforce Research Asia
• Summer 2016: Engineering Intern
  • Shanghai Yitu Tech

Publications

Long Text Generation via Adversarial Training with Leaked Information

Texygen: A Benchmarking Platform for Text Generation Models

DNQ: Dynamic Network Quantization

Ltf: A label transformation framework for correcting label shift

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint

Online Continual Learning with Contrastive Vision Transformer

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models

Prescribed Safety Performance Imitation Learning from A Single Expert Dataset

Teaching

Tutor of Deep Learning Course

Honors

• Faculty of Engineering PhD Completion Award (2022) USYD

• PhD Completion Scholarship of the University of Sydney (2022) USYD

• Postgraduate Research Scholarship in Computer Vision of USYD (2019)

• Best Undergraduate Thesis Candidate of Shanghai Jiao Tong University (1%) (2018)

• SJTU Academic Excellence Scholarship (2015-2017)

• Meritorious Winner of Mathematical Contest in Modeling (2016)

• Outstanding Students of Shanghai Jiao Tong University (2014-2015)