1. 'Unsupervised foreground-background segmentation based on GAN' accepted to AAAI 2023 (Oral). 2. 'Learning foreground-background segmentation from improved layered GANs' accepted to WACV 2022. 3. 'ParCo: Part-Coordinating Text-to-Motion Synthesis' accepted to ECCV 2024. 4. 'ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation' accepted to AAAI 2023 (Main Track, Oral). 5. 'Learning Foreground-Background Segmentation from Improved Layered GANs' published in WACV 2022. 6. 'Tailoring atomic 1T phase CrTe2 for in situ fabrication' published in Nanotechnology (Journal) 2021.
Research Experience
Worked as a research assistant at BNRist, Tsinghua University, mentored by Prof. Xiangyang Ji and Prof. Yi Xu. Research focused on unsupervised segmentation and text-to-motion synthesis.
Education
Received a master's degree in 2022 from the Department of Automation, Tsinghua University, under the supervision of Prof. Xiangyang Ji. Now pursuing a PhD at National University of Singapore, mentored by Prof. Dianbo Liu.
Background
Currently a first-year PhD student at CogAI4Sci, National University of Singapore, with research interests in autonomous ML agents (especially for research, i.e., AI Scientist), generative models, and representation learning.