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ORCIDKaiqi Zhao 0001
- > Home > Persons > Kaiqi Zhao 0001
Publications
- 2025
[i12]Libo Zhang, Yang Chen, Toru Takisaka, Kaiqi Zhao, Weidong Li, Jiamou Liu:
Situational-Constrained Sequential Resources Allocation via Reinforcement Learning. CoRR abs/2506.14125 (2025)- 2024
- [c40]Qiqi Wang
, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang:
SKGSum: Structured Knowledge-Guided Document Summarization. ACL (Findings) 2024: 1857-1871 - [c37]Jie Liu, Jiamou Liu, Kaiqi Zhao, Yanni Tang, Wu Chen:
TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification. ICDE 2024: 2848-2861 - [c35]Libo Zhang, Yuly Wu, Weidong Li, Song Yang, Yang Chen, Kaiqi Zhao, Jiamou Liu:
Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids. PKAW 2024: 236-245 - 2023
- [c34]Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu:
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. AAAI 2023: 10235-10243 - [c31]Wei Chen, Wu Chen, Jiamou Liu, Kaiqi Zhao, Mingyue Zhang:
SupConFL: Fault Localization with Supervised Contrastive Learning. Internetware 2023: 44-54 - [c29]Jialong Liu, Yanni Tang, Jiamou Liu, Kaiqi Zhao, Wu Chen:
LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs. QRS 2023: 36-47 - [c28]Zhangyue He, Yanni Tang, Kaiqi Zhao, Jiamou Liu, Wu Chen:
Graph-Based Log Anomaly Detection via Adversarial Training. SETTA 2023: 55-71 - [c27]Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, Yifei Wang:
Contrastive Learning for Signed Bipartite Graphs. SIGIR 2023: 1629-1638 - [c26]Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang:
RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. WWW 2023: 60-70 - [i9]Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu:
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network. CoRR abs/2302.05889 (2023) - [i7]Song Yang, Jiamou Liu, Kaiqi Zhao:
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. CoRR abs/2303.04741 (2023) - [i6]Zeyu Zhang, Shuyan Wan, Sijie Wang, Xianda Zheng, Xinrui Zhang, Kaiqi Zhao, Jiamou Liu, Dong Hao:
SGA: A Graph Augmentation Method for Signed Graph Neural Networks. CoRR abs/2310.09705 (2023) - [i5]Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Yifei Wang, Pengqian Han, Xianda Zheng, Qiqi Wang, Zijian Zhang:
CSG: Curriculum Representation Learning for Signed Graph. CoRR abs/2310.11083 (2023) - 2022
- [c24]Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao:
Interconnected Neural Linear Contextual Bandits with UCB Exploration. PAKDD (1) 2022: 169-181 - [c23]Wenjing Xiong, Wu Chen, Jiamou Liu, Kaiqi Zhao:
An Anomaly Detection Framework for System Logs Based on Ensemble Learning. PRICAI (1) 2022: 52-65 - [c22]Song Yang, Jiamou Liu, Kaiqi Zhao:
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. SIGIR 2022: 1144-1153 - 2021
- [c19]Song Yang, Jiamou Liu, Kaiqi Zhao:
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. ICDM 2021: 817-826 - [i3]Song Yang, Jiamou Liu, Kaiqi Zhao:
Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. CoRR abs/2109.05225 (2021)
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