Qiuling Suo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
12
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 |
| 2023 | CVPR | MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. | Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao |
| 2023 | SDM | Learning to Learn Task Transformations for Improved Few-Shot Classification. | Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang |
| 2022 | ECCV | Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao |
| 2022 | ICML | Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao |
| 2022 | UAI | Meta-learning without data via Wasserstein distributionally-robust model fusion. | Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao |
| 2021 | ICCV | Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. | Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao |
| 2021 | ICDCS | Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. | Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su |
| 2020 | KDD | TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. | Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang |
| 2019 | IJCAI | Metric Learning on Healthcare Data with Incomplete Modalities. | Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang |
| 2018 | ICDM | Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. | Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang |
| 2018 | KDD | Metric Learning from Probabilistic Labels. | Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang |
| 2018 | KDD | Risk Prediction on Electronic Health Records with Prior Medical Knowledge. | Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang |
| 2018 | SDM | Uncorrelated Patient Similarity Learning. | Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang |
| 2017 | AMIA | A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. | Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso |
| 2017 | ICDM | Wave2Vec: Learning Deep Representations for Biosignals. | Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang |