About Me
I am a Ph.D. candidate at Monash University, supervised by Prof. Shirui Pan, Dr. Daokun Zhang, and A/Prof. Vincent Lee. I obtained my B.S. degree and M.S. degree from Beihang University in 2017 and 2020, respectively. My research interests are in graph representation learning and graph neural networks, with a special focus on unsupervised and weak-supervised scenarios. I am a recipient of the Google Ph.D. Fellowship in 2022.
News
- 2022/11: Our paper on graph representation learning has been accepted by AAAI 2023.
- 2022/11: Our paper on federated graph learning has been accepted by AAAI 2023.
- 2022/10: Our paper on graph OOD detection has been accepted by WSDM 2023.
- 2022/08: I am honoured to receive the Google Ph.D. Fellowship in 2022.
- 2022/05: Our survey on graph self-supervised learning has been accepted by IEEE TKDE.
- 2022/01: Our paper on graph structure learning has been accepted by WWW 2022.
- 2021/11: Our paper on dynamic graph has been accepted by IEEE TKDE.
- 2021/10: Our paper on graph anomaly detection has been accepted by IEEE TKDE.
- 2021/08: Our paper on graph anomaly detection has been accepted by CIKM 2021.
- 2021/06: Our paper on label propagation has been accepted by World Wide Web.
- 2021/03: Our paper on graph anomaly detection has been accepted by IEEE TNNLS.
Selected Papers
![]() | Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating [PDF] [Code] Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent CS Lee, Shirui Pan. AAAI Conference on Artificial Intelligence (AAAI), 2023. [Oral presentation] |
![]() | Federated Learning on Non-IID Graphs via Structural Knowledge Sharing [PDF] [Code] Yue Tan*, Yixin Liu*, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang. AAAI Conference on Artificial Intelligence (AAAI), 2023. [Oral presentation] |
![]() | GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection [PDF] [Code] Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan. ACM International Conference on Web Search and Data Mining (WSDM), 2023. [Oral presentation] |
![]() | Graph Self-Supervised Learning: A Survey [PDF] Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. |
![]() | Towards Unsupervised Deep Graph Structure Learning [PDF] [Code] Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan. The Web Conference (WWW), 2022. [Best Paper Award candidate] |
![]() | Anomaly Detection in Dynamic Graphs via Transformer [PDF] [Code] Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent CS Lee. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. |
![]() | Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning [PDF] [Code] Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. |
Education
Ph.D. (2021-present) in Monash University
M.S. (2017-2020) in Beihang University
B.S. (2013-2017) in Beihang University
Experience
Monash University, Research Assistant (advised by Prof. Shirui Pan), 2021.
Alibaba Inc., Research Intern (advised by Dr. Zhao Li), 2020.
Contact
Email: yixin.liu[at]monash[dot]edu
Office: Level 2, 25 Exhibition Walk, Clayton, VIC 3800