Hi, I’m Yujie Mo (莫宇杰 in Chinese). I am currently a third-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
- 2024.09: 🎉🎉 One paper is accepted by NeurIPS 2024.
- 2024.09: 🎉🎉 One paper is accepted by Information Fusion.
- 2024.01: 🎉🎉 One paper is accepted by ICLR 2024.
📝 Publications
* indicates equal contribution
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NeurIPS 2024
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
Unsupervised Multi-View Graph Representation Learning with Dual Weight-Net Information Fusion 2024
Yujie Mo, Heng Tao Shen, Xiaofeng Zhu
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
🎖 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, ICLR 2024-2025, NeurIPS 2023-2024, KDD 2024-2025, ECCV 2024, AAAI 2023-2025, ACM MM 2023-2024, LOG 2023-2024, ACML 2024, etc.
- Reviewer for TNNLS, TKDE, TIP, IPM, NeuralComputing, etc.