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2020 – today
- 2024
[c14]Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong:
Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach. CIKM 2024: 2796-2806- [c13]Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong:
Graph Anomaly Detection with Adaptive Node Mixup. CIKM 2024: 3494-3504 - [c12]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
Genius: Subteam Replacement with Clustering-based Graph Neural Networks. SDM 2024: 10-18 - [c11]Yuchen Yan
, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong:
PaCEr: Network Embedding From Positional to Structural. WWW 2024: 2485-2496 - 2023
- [j2]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 35(1): 96-107 (2023) - [c10]Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong:
Learning Node Abnormality with Weak Supervision. CIKM 2023: 3584-3594 - [c9]Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong:
Node Classification Beyond Homophily: Towards a General Solution. KDD 2023: 2862-2873 - 2022
- [c8]Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong:
Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. CIKM 2022: 2341-2351 - [c7]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. KDD 2022: 742-752 - [i4]Jian Kang, Qinghai Zhou, Hanghang Tong:
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. CoRR abs/2210.05959 (2022) - [i3]Chuxuan Hu, Qinghai Zhou, Hanghang Tong:
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. CoRR abs/2211.04100 (2022) - 2021
- [c6]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW 2021: 2448-2456 - [c5]Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. WWW 2021: 3896-3906 - [i2]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR abs/2102.11165 (2021)
2010 – 2019
- 2019
- [c4]Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. IEEE BigData 2019: 1008-1017 - [c3]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
ADMIRING: Adversarial Multi-network Mining. ICDM 2019: 1522-1527 - 2018
- [c2]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
Extra: explaining team recommendation in networks. RecSys 2018: 492-493 - [i1]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
EXTRA: Explaining Team Recommendation in Networks. CoRR abs/1809.08511 (2018) - 2014
- [j1]Yuan Xu, Qinghai Zhou, Liwei Gong, Mingcheng Zhu, Xiaohong Ding, Robert K. F. Teng:
High-Speed Simultaneous Image Distortion Correction Transformations for a Multicamera Cylindrical Panorama Real-time Video System Using FPGA. IEEE Trans. Circuits Syst. Video Technol. 24(6): 1061-1069 (2014) - 2013
- [c1]Yuan Xu, Qinghai Zhou, Liwei Gong, Mingcheng Zhu, Robert K. F. Teng:
Study of a FPGA real-time multi-cameras cylindrical panorama video system with low latency and high performance. IVMSP 2013: 1-4
Coauthor Index
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