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 002; Robert K. F. Teng (IVMSP, 2013)

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 002; Xiaohong Ding; Robert K. F. Teng (IEEE Trans. Circuits Syst. Video Technol., 2014)

Extra: explaining team recommendation in networks. - Qinghai Zhou; Liangyue Li; Nan Cao 001; Norbou Buchler; Hanghang Tong (RecSys, 2018)

Towards Real Time Team Optimization. - Qinghai Zhou; Liangyue Li; Hanghang Tong (IEEE BigData, 2019)

ADMIRING: Adversarial Multi-network Mining. - Qinghai Zhou; Liangyue Li; Nan Cao 001; Lei Ying 001; Hanghang Tong (ICDM, 2019)

Few-shot Network Anomaly Detection via Cross-network Meta-learning. - Kaize Ding; Qinghai Zhou; Hanghang Tong; Huan Liu 001 (WWW, 2021)

Attent: Active Attributed Network Alignment. - Qinghai Zhou; Liangyue Li; Xintao Wu; Nan Cao 001; Lei Ying 001; Hanghang Tong (WWW, 2021)

Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. - Yuchen Yan; Qinghai Zhou; Jinning Li 001; Tarek F. Abdelzaher; Hanghang Tong (CIKM, 2022)

JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. - Jian Kang 008; Qinghai Zhou; Hanghang Tong (KDD, 2022)

GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. - Chuxuan Hu; Qinghai Zhou; Hanghang Tong (CoRR, 2022)

Learning Node Abnormality with Weak Supervision. - Qinghai Zhou; Kaize Ding; Huan Liu 001; Hanghang Tong (CIKM, 2023)

Node Classification Beyond Homophily: Towards a General Solution. - Zhe Xu 007; Yuzhong Chen; Qinghai Zhou; Yuhang Wu 002; Menghai Pan; Hao Yang 007; Hanghang Tong (KDD, 2023)

Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. - Qinghai Zhou; Liangyue Li; Nan Cao 001; Lei Ying 001; Hanghang Tong (IEEE Trans. Knowl. Data Eng., 2023)

Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach. - Yuchen Yan; Yongyi Hu; Qinghai Zhou; Shurang Wu; Dingsu Wang; Hanghang Tong (CIKM, 2024)

Graph Anomaly Detection with Adaptive Node Mixup. - Qinghai Zhou; Yuzhong Chen; Zhe Xu 007; Yuhang Wu 002; Menghai Pan; Mahashweta Das; Hao Yang 007; Hanghang Tong (CIKM, 2024)

Genius: Subteam Replacement with Clustering-based Graph Neural Networks. - Chuxuan Hu; Qinghai Zhou; Hanghang Tong (SDM, 2024)

PaCEr: Network Embedding From Positional to Structural. - Yuchen Yan; Yongyi Hu; Qinghai Zhou; Lihui Liu; Zhichen Zeng 001; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hanghang Tong (WWW, 2024)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (WWW (Companion Volume), 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)