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Zhou, Kaixiong
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1

Marginal Nodes Matter: Towards Structure Fairness in Graphs:

Han, Xiaotian ; Zhou, Kaixiong ; Wang, Ting-Hsiang...
ACM SIGKDD Explorations Newsletter.  25 (2024)  2 - p. 4-13 , 2024
Link: https://doi.org/10.1145/..
 
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2

ENGAGE: Explanation Guided Data Augmentation for Graph Repr..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Shi, Yucheng ; Zhou, Kaixiong ; Liu, Ninghao - p. 104-121 , 2023
Link: https://doi.org/10.1007/..
 
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3

DiscoverPath: A Knowledge Refinement and Retrieval System f..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,
Chuang, Yu-Neng ; Wang, Guanchu ; Chang, Chia-Yuan... - p. 5021-5025 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Adaptive RiskAware Bidding with Budget Constraint in Displa..:

Jiang, Zhimeng ; Zhou, Kaixiong ; Zhang, Mi...
ACM SIGKDD Explorations Newsletter.  25 (2023)  1 - p. 73-82 , 2023
Link: https://doi.org/10.1145/..
 
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5

Hessian-aware Quantized Node Embeddings for Recommendation:

, In: Proceedings of the 17th ACM Conference on Recommender Systems,
Chen, Huiyuan ; Zhou, Kaixiong ; Lai, Kwei Herng... - p. 757-762 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

Automated Anomaly Detection via Curiosity-Guided Search and..:

Li, Yuening ; Chen, Zhengzhang ; Zha, Daochen...
IEEE Transactions on Neural Networks and Learning Systems.  33 (2022)  6 - p. 2365-2377 , 2022
Link: https://doi.org/10.1109/..
 
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7

Adversarial Graph Perturbations for Recommendations at Scal:

, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Chen, Huiyuan ; Zhou, Kaixiong ; Lai, Kwei-Herng... - p. 1854-1858 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Bag of Tricks for Training Deeper Graph Neural Networks: A ..:

Chen, Tianlong ; Zhou, Kaixiong ; Duan, Keyu...
IEEE Transactions on Pattern Analysis and Machine Intelligence.  , 2022
Link: https://doi.org/10.1109/..
 
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9

Graph Neural Networks: AutoML:

, In: Graph Neural Networks: Foundations, Frontiers, and Applications,
Zhou, Kaixiong ; Liu, Zirui ; Duan, Keyu. - p. 371-389 , 2022
Link: https://doi.org/10.1007/..
 
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10

GPPT: Graph Pre-training and Prompt Tuning to Generalize Gr..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Sun, Mingchen ; Zhou, Kaixiong ; He, Xin.. - p. 1717-1727 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

AdaGCL : Adaptive Subgraph Contrastive Learning to Gener..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,
Wang, Yili ; Zhou, Kaixiong ; Miao, Rui.. - p. 2046-2055 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

TinyKG: Memory-Efficient Training Framework for Knowledge G..:

, In: Proceedings of the 16th ACM Conference on Recommender Systems,
Chen, Huiyuan ; Li, Xiaoting ; Zhou, Kaixiong... - p. 257-267 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Auto-GNN: Neural architecture search of graph neural networ..:

Zhou, Kaixiong ; Huang, Xiao ; Song, Qingquan..
Frontiers in Big Data.  5 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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14

Temporal Augmented Graph Neural Networks for Session-Based ..:

, In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Zhou, Huachi ; Tan, Qiaoyu ; Huang, Xiao.. - p. 1798-1802 , 2021
Link: https://dl.acm.org/doi/1..
 
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15

AutoOD: Neural Architecture Search for Outlier Detection:

, In: 2021 IEEE 37th International Conference on Data Engineering (ICDE),
Li, Yuening ; Chen, Zhengzhang ; Zha, Daochen... - p. 2117-2122 , 2021
Link: https://doi.org/10.1109/..
 
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