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ORCIDYixin Liu 0001
Person information
- affiliation: Monash University, Clayton, VIC, Australia
Other persons with the same name
- Yixin Liu — disambiguation page
- Yixin Liu 0002
![[0000-0003-3856-439X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3856-439X")
— Lehigh University, Department of Computer Science, Bethlehem, PA, USA - Yixin Liu 0003 — Yale University, Department of Computer Science, New Haven, CT, USA (and 1 more)
- Yixin Liu 0004 — Tianjin University, Key Laboratory of Smart Grid of Ministry of Education, China
- Yixin Liu 0005 — Harbin Medical University, Modern Education Technology Center, Basic Medicine College, China
- Yixin Liu 0006 — Tsinghua University, singhua Shenzhen International Graduate School, China
- Yixin Liu 0007 — Stanford University, CA, USA
- Yixin Liu 0008 — Michigan Technological University, Department of Chemical Engineering, Houghton, MI, USA (and 1 more)
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2020 – today
- 2024
[j7]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39(1): 64-68 (2024)- [j6]Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid:
Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. 15(9): 3769-3790 (2024) - [c10]Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI 2024: 15537-15545 - [c9]Kaize Ding, Xiaoxiao Ma, Yixin Liu, Shirui Pan:
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. KDD 2024: 574-584 - [i21]Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR abs/2401.06176 (2024) - [i20]Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan:
ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR abs/2405.16771 (2024) - [i19]Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang:
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR abs/2406.15523 (2024) - [i18]Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan:
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR abs/2407.19944 (2024) - 2023
- [j5]Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j4]Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Qingfeng Chen, Vincent Cheng-Siong Lee:
Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. 35(12): 12081-12094 (2023) - [j3]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12220-12233 (2023) - [c8]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI 2023: 4516-4524 - [c7]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI 2023: 9953-9961 - [c6]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM 2023: 1253-1258 - [c5]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c4]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS 2023 - [c3]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM 2023: 339-347 - [i17]Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun:
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023) - [i16]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i15]Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan:
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR abs/2309.10979 (2023) - [i14]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs with Large Language Models: Methods and Prospects. CoRR abs/2310.05499 (2023) - [i13]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR abs/2310.11676 (2023) - [i12]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR abs/2310.16520 (2023) - 2022
- [j2]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [j1]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25(2): 703-721 (2022) - [c2]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. WWW 2022: 1392-1403 - [i11]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. CoRR abs/2201.06367 (2022) - [i10]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen:
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i9]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i8]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2211.04208 (2022) - [i7]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR abs/2211.13009 (2022) - [i6]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR abs/2211.14065 (2022) - 2021
- [c1]Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126 - [i5]Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. CoRR abs/2103.00111 (2021) - [i4]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR abs/2103.00113 (2021) - [i3]Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee:
Anomaly Detection in Dynamic Graphs via Transformer. CoRR abs/2106.09876 (2021) - [i2]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen:
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021) - 2020
- [i1]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR abs/2011.11860 (2020)
Coauthor Index
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