I am a Machine Learning Research Engineer at TikTok.

I was a Machine Learning Engineer at ROKT, working with Mr. Ivan Liu, Dr. Tony Zhao, and Dr. Mustafa Kathawala.

I was an Applied Scientist Intern at Amazon, working with Dr. Vu Nguyen, Dr. Ajanthan Thalaiyasingam, and Prof. Anton Van Den Hengel.

I received my Ph.D. degree in Computer Science at the University of Sydney, Australia, supervised by Prof. Dacheng Tao, co-supervised by Dr. Chang Xu. Best paper candidate in CVPR 2021.

I received my B.S. degree in Computer Science (top 2%) in 2018 from Shanghai Jiao Tong University, China.

My research interest lies in large generative models (language & vision), disentangled representation learning, computer vision, tabular data, and related deep learning applications.

News

• 11/27/2023 I started working as a Machine Learning Research Engineer at TikTok!

• 02/27/2023 I started working as a Machine Learning Engineer at ROKT!

• 11/19/22 Our paper ContraFeat: Contrasting Deep Features for Semantic Discovery has been accepted by AAAI23!

• 04/28/22 I started working as an Applied Scientist Intern at Amazon!

• 06/11/21 Our CVPR21 paper Where and What? Examining Interpretable Disentangled Representations has been nominated as a best paper candidate!

• 05/08/21 Our paper Commutative Lie Group VAE for Disentanglement Learning has been accepted as a Long Presentation paper in ICML21!

• 03/01/21 Our paper Where and What? Examining Interpretable Disentangled Representations has been accepted as an Oral paper in CVPR21!