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Cao, Cheng-Qi
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1

Contributors:

, In: Bio-Based Flame-retardant Technology for Polymeric Materials,
Anjumol, K.S. ; Yu, Bin ; Cao, Cheng-Fei... - p. xiii-xvi , 2022
Link: https://doi.org/10.1016/..
 
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2

DyTed: Disentangled Representation Learning for Discrete-ti..:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Zhang, Kaike ; Cao, Qi ; Fang, Gaolin... - p. 3309-3320 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

AI-based Proactive Storage Failure Management in Software-D..:

, In: Proceedings of the 2023 6th International Conference on Information Science and Systems,
Zhu, Yongqing ; How, Kiam Cheng ; Wu, Horng Jyh. - p. 231-237 , 2023
Link: https://dl.acm.org/doi/1..
 
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4

Popularity Debiasing from Exposure to Interaction in Collab..:

, In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Liu, Yuanhao ; Cao, Qi ; Shen, Huawei... - p. 1801-1805 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Adversarial Learning Data Augmentation for Graph Contrastiv..:

, In: Database Systems for Advanced Applications; Lecture Notes in Computer Science,
Huang, Junjie ; Cao, Qi ; Xie, Ruobing... - p. 373-388 , 2023
Link: https://doi.org/10.1007/..
 
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6

INMO : A Model-Agnostic and Scalable Module for Inductiv..:

, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Wu, Yunfan ; Cao, Qi ; Shen, Huawei.. - p. 91-101 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Towards Powerful Graph Contrastive Learning without Negativ..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Cen, Keting ; Shen, Huawei ; Cao, Qi.. - p. 1-9 , 2022
Link: https://doi.org/10.1109/..
 
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8

Influence of Housings on the Ultra-Wideband Three-Axis Orth..:

, In: 2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT),
Zhou, Cheng ; Cao, Qi ; Hu, Jiaxiong.. - p. 1-3 , 2022
Link: https://doi.org/10.1109/..
 
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9

PREP: Pre-training with Temporal Elapse Inference for Popul..:

, In: Companion Proceedings of the Web Conference 2022,
Cao, Qi ; Shen, Huawei ; Liu, Yuanhao.. - p. 243-247 , 2022
Link: https://dl.acm.org/doi/1..
 
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10

Signed Bipartite Graph Neural Networks:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Huang, Junjie ; Shen, Huawei ; Cao, Qi.. - p. 740-749 , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Adversarial Immunization for Certifiable Robustness on Grap..:

, In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining,
Tao, Shuchang ; Shen, Huawei ; Cao, Qi.. - p. 698-706 , 2021
Link: https://dl.acm.org/doi/1..
 
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12

Single Node Injection Attack against Graph Neural Networks:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Tao, Shuchang ; Cao, Qi ; Shen, Huawei... - p. 1794-1803 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

Popularity Prediction on Social Platforms with Coupled Grap..:

, In: Proceedings of the 13th International Conference on Web Search and Data Mining,
Cao, Qi ; Shen, Huawei ; Gao, Jinhua.. - p. 70-78 , 2020
Link: https://dl.acm.org/doi/1..
 
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14

Temporal Convolutional Networks for Popularity Prediction o..:

, In: Lecture Notes in Computer Science; Information Retrieval,
Shao, Jiangli ; Shen, Huawei ; Cao, Qi. - p. 135-147 , 2019
Link: https://doi.org/10.1007/..
 
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15

DeepHawkes : Bridging the Gap between Prediction and Und..:

, In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management,
Cao, Qi ; Shen, Huawei ; Cen, Keting.. - p. 1149-1158 , 2017
Link: https://dl.acm.org/doi/1..
 
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