YujieMo

Hi, I’m Yujie Mo (莫宇杰 in Chinese). I am currently a second-year Ph.D. student in Computer Science and Technology at University of Electronic Science and Technology of China (UESTC), under the supervision of Prof. Xiaofeng Zhu. My research interests include graph representation learning and self-supervised/unsupervised learning. Previously, I got my bachelor’s degree in Computer Science and Technology at Northeastern University (Shenyang, China) in 2020. Later, I was admitted to UESTC for a Master’s degree in 2020 and transferred to pursue the Ph.D. degree in 2022. And now, I am a visiting Ph.D. student of Learning and Vision (LV) Lab at the National University of Singapore under the supervision of Prof. Xinchao Wang. Check my CV for more details.

Welcome to contacting me about research or internship by emails.

🔥 News

• 2024.01:  🎉🎉 One paper is accepted by ICLR 2024.
• 2023.04:  🎉🎉 One paper is accepted by ICML 2023.
• 2023.04:  🎉🎉 One paper is accepted by TKDE.

📝 Publications

* indicates equal contribution

Self-supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024

Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu

Disentangled Multiplex Graph Representation Learning ICML 2023

Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Multiplex Graph Representation Learning via Dual Correlation Reduction TKDE 2023

Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu

Multiplex Graph Representation Learning via Common and Private Information Mining AAAI 2023

Yujie Mo*, Zongqian Wu*, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Simple Self-supervised Multiplex Graph Representation Learning ACM MM 2022

Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu

Simple unsupervised graph representation learning AAAI 2022

Yujie Mo*, Liang Peng*, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

Self-Training based Few-Shot Node Classification by Knowledge Distillation. AAAI 2024

Zongqian Wu*, Yujie Mo*, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu

GRLC: Graph representation learning with constraints TNNLS 2023

Liang Peng*, Yujie Mo*, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu

📝 Under Review

Efficient Self-Supervised Heterogeneous Graph Representation Learning with Reconstruction. TNNLS under review

Yujie Mo, Heng Tao Shen, Xiaofeng Zhu

🎖 Honors and Awards

• 2021.10 First-class Scholarship.
• 2022.04 “Academic Youth” Graduate Student Honor Award.
• 2023.04 “Academic Newcomer” Graduate Student Honor Award.
• 2023.04 Outstanding Graduate Teaching Assistant Award.
• 2023.04 Outstanding Graduate Student Cadre.
• 2023.10 National Scholarship.
• 2021.12 AAAI 2022 Student Scholarship.
• 2022.12 AAAI 2023 Travel Scholarship.
• 2024.05 The Web conference volunteer.

📖 Educations

• 2022.09 - (now), University of Electronic Science and Technology of China, Chengdu, China, Ph.D. student of Computer Science and Technology.
• 2020.09 - 2022.06, University of Electronic Science and Technology of China, Chengdu, China, Master of Computer Technology, transferred to Ph.D.
• 2016.09 - 2020.06, Northeastern University, Shenyang, China, Bachelor of Computer Science and Technology.

💬 Services

• Program Committee Member for ICML 2024, KDD 2024, ICLR 2024, ECCV 2024, AAAI 2024-2023, ACM MM 2024-2023, NeurIPS 2023, etc.
• Reviewer for TNNLS, TKDE, TIP, IPM, etc.