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ORCIDKaili Ma 0001
Person information
- affiliation: Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Kaili Ma 0002 — Hunan University, Changsha, China
- Kaili Ma 0003 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Journal Articles
- 2024
[j4]Kaili Ma, Han Yang
, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong:
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176: 106328 (2024)- 2023
- [j3]Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han:
GRACE: A General Graph Convolution Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data 17(3): 31:1-31:31 (2023) - [j2]Kaili Ma, Garry Yang, Han Yang, Yongqiang Chen, James Cheng:
Calibrating and Improving Graph Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j1]Shanchao Yang, Kaili Ma, Baoxiang Wang, Tianshu Yu, Hongyuan Zha:
Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2023
- [c7]Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng:
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR 2023 - 2022
- [c6]Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng:
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. ICLR 2022 - [c5]Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng:
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS 2022 - [c4]Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng:
Exact Shape Correspondence via 2D graph convolution. NeurIPS 2022 - 2021
- [c3]Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization for Graph Neural Networks. AAAI 2021: 4573-4581 - [c2]Barakeel Fanseu Kamhoua, Lin Zhang, Kaili Ma, James Cheng, Bo Li, Bo Han:
HyperGraph Convolution Based Attributed HyperGraph Clustering. CIKM 2021: 453-463 - 2020
- [c1]Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang:
Measuring and Improving the Use of Graph Information in Graph Neural Networks. ICLR 2020
Informal and Other Publications
- 2022
- [i8]Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng:
Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR abs/2202.05441 (2022) - [i7]Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng:
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. CoRR abs/2202.08057 (2022) - [i6]Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng:
Pareto Invariant Risk Minimization. CoRR abs/2206.07766 (2022) - [i5]Yifan Hou, Jie Zhang, James Cheng, Kaili Ma, Richard T. B. Ma, Hongzhi Chen, Ming-Chang Yang:
Measuring and Improving the Use of Graph Information in Graph Neural Networks. CoRR abs/2206.13170 (2022) - 2021
- [i4]Kaili Ma, Haochen Yang, Han Yang, Tatiana Jin, Pengfei Chen, Yongqiang Chen, Barakeel Fanseu Kamhoua, James Cheng:
Improving Graph Representation Learning by Contrastive Regularization. CoRR abs/2101.11525 (2021) - [i3]Shanchao Yang, Kaili Ma, Baoxiang Wang, Hongyuan Zha:
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient. CoRR abs/2110.09035 (2021) - 2020
- [i2]Guoji Fu, Yifan Hou, Jie Zhang, Kaili Ma, Barakeel Fanseu Kamhoua, James Cheng:
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives. CoRR abs/2006.04386 (2020) - [i1]Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization For Graph Neural Networks. CoRR abs/2009.02027 (2020)
Coauthor Index
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