Qinghai Zhou

According to our database, Qinghai Zhou authored at least 17 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PaCEr: Network Embedding From Positional to Structural.

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

Genius: Subteam Replacement with Clustering-based Graph Neural Networks.

Chuxuan Hu, Qinghai Zhou, Hanghang Tong

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Graph Anomaly Detection with Adaptive Node Mixup.

Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach.

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions.

Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong

IEEE Trans. Knowl. Data Eng., 2023

Node Classification Beyond Homophily: Towards a General Solution.

Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Node Abnormality with Weak Supervision.

Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network.

Chuxuan Hu, Qinghai Zhou, Hanghang Tong

CoRR, 2022

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks.

Jian Kang, Qinghai Zhou, Hanghang Tong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks.

Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Attent: Active Attributed Network Alignment.

Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong

Proceedings of the WWW '21: The Web Conference 2021, 2021

Few-shot Network Anomaly Detection via Cross-network Meta-learning.

Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu

Proceedings of the WWW '21: The Web Conference 2021, 2021

2019

ADMIRING: Adversarial Multi-network Mining.

Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Towards Real Time Team Optimization.

Qinghai Zhou, Liangyue Li, Hanghang Tong

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Extra: explaining team recommendation in networks.

Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2014

High-Speed Simultaneous Image Distortion Correction Transformations for a Multicamera Cylindrical Panorama Real-time Video System Using FPGA.

Yuan Xu, Qinghai Zhou, Liwei Gong, Mingcheng Zhu, Xiaohong Ding, Robert K. F. Teng

IEEE Trans. Circuits Syst. Video Technol., 2014

2013

Study of a FPGA real-time multi-cameras cylindrical panorama video system with low latency and high performance.

Yuan Xu, Qinghai Zhou, Liwei Gong, Mingcheng Zhu, Robert K. F. Teng

Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013