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2020 – today
- 2024
[j7]Yizhen Zheng
, Wen Dong, Zhiping Yang, Yihang Lu, Xin Zhang, Yanni Dong, Fengqing Sun:
A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 134: 104204 (2024)- [j6]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39(1): 64-68 (2024) - [j5]Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang:
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective. Inf. Sci. 657: 119952 (2024) - [j4]Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan:
Improving Augmentation Consistency for Graph Contrastive Learning. Pattern Recognit. 148: 110182 (2024) - [j3]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8882-8896 (2024) - [j2]Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan:
Contrastive Graph Similarity Networks. ACM Trans. Web 18(2): 17:1-17:20 (2024) - [i13]Yizhen Zheng, Huan Yee Koh, Maddie Yang, Li Li, Lauren T. May, Geoffrey I. Webb, Shirui Pan, George Church:
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials. CoRR abs/2409.04481 (2024) - 2023
- [j1]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A survey on fairness-aware recommender systems. Inf. Fusion 100: 101906 (2023) - [c9]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 - [c8]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM 2023: 1253-1258 - [c7]Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML 2023: 42492-42505 - [c6]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW 2023: 684-693 - [i12]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR abs/2305.05848 (2023) - [i11]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A Survey on Fairness-aware Recommender Systems. CoRR abs/2306.00403 (2023) - [i10]Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan:
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR abs/2306.07608 (2023) - [i9]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs with Large Language Models: Methods and Prospects. CoRR abs/2310.05499 (2023) - [i8]Yizhen Zheng, Huan Yee Koh, Jiaxin Ju, Anh T. N. Nguyen, Lauren T. May, Geoffrey I. Webb, Shirui Pan:
Large Language Models for Scientific Synthesis, Inference and Explanation. CoRR abs/2310.07984 (2023) - [i7]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) - 2022
- [c5]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM 2022: 793-802 - [c4]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI 2022: 2101-2107 - [c3]Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. NeurIPS 2022 - [i6]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR abs/2205.15083 (2022) - [i5]Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu:
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination. CoRR abs/2206.01535 (2022) - [i4]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR abs/2210.08792 (2022) - [i3]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
- [c2]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [c1]Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan:
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. PAKDD (1) 2021: 140-151 - [i2]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR abs/2105.05682 (2021) - [i1]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR abs/2111.10698 (2021)
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