Qinghai Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. | Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang |
| 2025 | WWW | External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. | Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li |
| 2024 | CIKM | Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach. | Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong |
| 2024 | CIKM | Graph Anomaly Detection with Adaptive Node Mixup. | Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2024 | WWW | 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 |
| 2024 | SDM | Genius: Subteam Replacement with Clustering-based Graph Neural Networks. | Chuxuan Hu, Qinghai Zhou, Hanghang Tong |
| 2023 | CIKM | Learning Node Abnormality with Weak Supervision. | Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong |
| 2023 | KDD | Node Classification Beyond Homophily: Towards a General Solution. | Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong |
| 2022 | CIKM | Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. | Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong |
| 2022 | KDD | JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. | Jian Kang, Qinghai Zhou, Hanghang Tong |
| 2021 | WWW | Few-shot Network Anomaly Detection via Cross-network Meta-learning. | Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu |
| 2021 | WWW | Attent: Active Attributed Network Alignment. | Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong |
| 2019 | ICDM | ADMIRING: Adversarial Multi-network Mining. | Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong |
| 2018 | RecSys | Extra: explaining team recommendation in networks. | Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong |