Qiuling Suo - RankMe

33 papers A* 9A 4Misc 1Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design. CoRR Bojian Hou, Xiaolong Liu, Xiaoyi Liu, Jiaqi Xu, Yasmine Badr, Mengyue Hang, Sudhanshu Chanpuriya, Junqing Zhou, Yuhang Yang, Han Xu, Qiuling Suo, Laming Chen, Yuxi Hu, Jiasheng Zhang, Huaqing Xiong, Yuzhen Huang, Chao Chen, Yue Dong, Yi Yang, Shuo Chang, Xiaorui Gan, Wenlin Chen, Santanu Kolay, Darren Liu, Jade Nie, Chunzhi Yang, Ellie Wen, Jiyan Yang, Huayu Li
2025	—	`conf`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. WWW (Companion Volume) 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
2025	J	`jnl`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR 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, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2023	J	`jnl`	Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
2023	A	`conf`	Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang
2023	A*	`conf`	MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
2022	A*	`conf`	Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022	J	`jnl`	Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022	—	`conf`	Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022	J	`jnl`	Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022	A	`conf`	Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
2021	A	`conf`	Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. ICDCS Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su
2021	A*	`conf`	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021	J	`jnl`	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021	J	`jnl`	MetaTP: Traffic Prediction with Unevenly-Distributed Road Sensing Data via Fast Adaptation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Weida Zhong, Qiuling Suo, Abhishek Gupta, Xiaowei Jia, Chunming Qiao, Lu Su
2020	—	`conf`	GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang
2020	J	`jnl`	Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2020	A*	`conf`	TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. KDD Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang
2019	J	`jnl`	A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, Lu Su
2019	A*	`conf`	Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
2019	—	`conf`	Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang
2019	J	`jnl`	Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
2018	—	`conf`	A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang
2018	—	`conf`	An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri
2018	A*	`conf`	Metric Learning from Probabilistic Labels. KDD Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang
2018	A*	`conf`	Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
2018	A*	`conf`	Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang
2018	A	`conf`	Uncorrelated Patient Similarity Learning. SDM Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang
2017	Misc	`conf`	A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. AMIA Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso
2017	—	`conf`	Personalized disease prediction using a CNN-based similarity learning method. BIBM Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
2017	A*	`conf`	Wave2Vec: Learning Deep Representations for Biosignals. ICDM Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang
2016	—	`conf`	Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation. BCB Giovanni Canino, Qiuling Suo, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri
2016	—	`conf`	Risk Factor Analysis Based on Deep Learning Models. BCB Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang