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2020 – today
- 2024
[j5]Ximing Liu, Yayong Li, Cheng Dai
, Hong Zhang:
A hierarchical attention-based feature selection and fusion method for credit risk assessment. Future Gener. Comput. Syst. 160: 537-546 (2024)- [c7]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. KDD 2024: 851-862 - [i5]Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin:
Graph Condensation for Open-World Graph Learning. CoRR abs/2405.17003 (2024) - 2023
- [j4]Yayong Li, Jie Yin, Ling Chen:
Informative pseudo-labeling for graph neural networks with few labels. Data Min. Knowl. Discov. 37(1): 228-254 (2023) - 2022
- [c6]Ximing Liu, Yayong Li, Cuiqing Jiang, Zhao Wang, Fuqing Zhao, Jianfei Wang:
Attentive Feature Fusion for Credit Default Prediction. CSCWD 2022: 816-821 - [c5]Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang:
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR 2022 - [i4]Yayong Li, Jie Yin, Ling Chen:
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels. CoRR abs/2201.07951 (2022) - 2021
- [j3]Yayong Li, Jie Yin, Ling Chen:
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3136-3147 (2021) - [c4]Yayong Li, Jie Yin, Ling Chen:
Unified Robust Training for Graph Neural Networks Against Label Noise. PAKDD (1) 2021: 528-540 - [i3]Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen:
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR abs/2103.03113 (2021) - [i2]Yayong Li, Jie Yin, Ling Chen:
Unified Robust Training for Graph NeuralNetworks against Label Noise. CoRR abs/2103.03414 (2021)
2010 – 2019
- 2019
- [j2]Xingang Liu, Yayong Li, Deyuan Liu, Peicheng Wang, Laurence T. Yang:
An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using Machine Learning. IEEE Trans. Circuits Syst. Video Technol. 29(1): 144-155 (2019) - [i1]Yayong Li, Jie Yin, Ling Chen:
Semi-supervised Adversarial Active Learning on Attributed Graphs. CoRR abs/1908.08169 (2019) - 2018
- [j1]Xingang Liu, Yayong Li, Cheng Dai, Pan Li, Laurence T. Yang:
An Efficient H.264/AVC to HEVC Transcoder for Real-Time Video Communication in Internet of Vehicles. IEEE Internet Things J. 5(4): 3186-3197 (2018) - 2016
- [c3]Deyuan Liu, Xingang Liu, Yayong Li:
Fast CU Size Decisions for HEVC Intra Frame Coding Based on Support Vector Machines. DASC/PiCom/DataCom/CyberSciTech 2016: 594-597 - [c2]Deyuan Liu, Xingang Liu, Yayong Li:
A Fast Coding Unit Size Decision Algorithm for HEVC Intra Coding Based on Image Complexity. iThings/GreenCom/CPSCom/SmartData 2016: 874-877 - [c1]Yayong Li, Xingang Liu, Tao Yu, Yongyong Mei, Peicheng Wang:
Fast Online-Learning Parameters Decision Algorithm Based on Bayesian Decision Rule for 3D-HEVC. iThings/GreenCom/CPSCom/SmartData 2016: 894-898 - [e1]Xingang Liu, Tie Qiu, Bin Guo, Kaixuan Lu, Zhaolong Ning, Mianxiong Dong, Yayong Li:
2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Chengdu, China, December 15-18, 2016. IEEE 2016, ISBN 978-1-5090-5880-8 [contents]
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