Qingquan Song

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Ensemble Pruning

Graph Representation

Neural Architecture

Top Venues

Frontiers Big Data

Publications

Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data 6 (2024)
Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
AI Driven Online Advertising: Market Design, Generative AI, and Ethics. WWW (Companion Volume) (2024)
Mujia Ma, Shuang Zhao, Ting Long, Qingquan Song, Hans-Christer Holmberg, Hui Liu
Comparative Analysis of the Diagonal Stride Technique during Roller Skiing and On-Snow Skiing in Youth Cross-Country Skiers. Sensors 24 (5) (2024)
Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference. CoRR (2024)
Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn. CoRR (2024)
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR (2024)
Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh
LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD (2024)
Jianqiang Shen, Yuchin Juan, Shaobo Zhang, Ping Liu, Wen Pu, Sriram Vasudevan, Qingquan Song, Fedor Borisyuk, Kay Qianqi Shen, Haichao Wei, Yunxiang Ren, Yeou S. Chiou, Sicong Kuang, Yuan Yin, Ben Zheng, Muchen Wu, Shaghayegh Gharghabi, Xiaoqing Wang, Huichao Xue, Qi Guo, Daniel Hewlett, Luke Simon, Liangjie Hong, Wenjing Zhang
Learning to Retrieve for Job Matching. CoRR (2024)
Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization. CoRR (2023)
Haifeng Jin, François Chollet, Qingquan Song, Xia Hu
AutoKeras: An AutoML Library for Deep Learning. J. Mach. Learn. Res. 24 (2023)
Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. CoRR (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR (2022)
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data 5 (2022)
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
Subarchitecture Ensemble Pruning in Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW (2022)
Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao
Generalized Deep Mixed Models. KDD (2022)
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
Detecting Interactions from Neural Networks via Topological Analysis. NeurIPS (2020)
Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu
On Robustness of Neural Architecture Search Under Label Noise. Frontiers Big Data 3 (2020)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Neural Networks. IJCAI (2020)
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. CoRR (2020)
Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
Towards Interaction Detection Using Topological Analysis on Neural Networks. CoRR (2020)
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. KDD (2020)
Yi-Wei Chen, Qingquan Song, Xia Hu
Techniques for Automated Machine Learning. SIGKDD Explor. 22 (2) (2020)
Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
AutoRec: An Automated Recommender System. RecSys (2020)
Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu
AutoRec: An Automated Recommender System. CoRR (2020)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Convolutional Networks. CoRR (2019)
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
Large-Scale Heterogeneous Feature Embedding. AAAI (2019)
Haifeng Jin, Qingquan Song, Xia Hu
Auto-Keras: An Efficient Neural Architecture Search System. KDD (2019)
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
Multi-Label Adversarial Perturbations. CoRR (2019)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
Auto-GNN: Neural Architecture Search of Graph Neural Networks. CoRR (2019)
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
Tensor Completion Algorithms in Big Data Analytics. ACM Trans. Knowl. Discov. Data 13 (1) (2019)
Qingquan Song, Shiyu Chang, Xia Hu
Coupled Variational Recurrent Collaborative Filtering. KDD (2019)
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
Sub-Architecture Ensemble Pruning in Neural Architecture Search. CoRR (2019)
Yi-Wei Chen, Qingquan Song, Xia Hu
Techniques for Automated Machine Learning. CoRR (2019)
Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
Graph Recurrent Networks With Attributed Random Walks. KDD (2019)
Qingquan Song, Shiyu Chang, Xia Hu
Coupled Variational Recurrent Collaborative Filtering. CoRR (2019)
Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
Exploring Expert Cognition for Attributed Network Embedding. WSDM (2018)
Xing Zhao, Qingquan Song, James Caverlee, Xia Hu
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. RecSys Challenge (2018)
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. CoRR (2018)
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
Multi-label Adversarial Perturbations. ICDM (2018)
Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. KDD (2018)
Haifeng Jin, Qingquan Song, Xia Hu
Discriminative Graph Autoencoder. ICBK (2018)
Haifeng Jin, Qingquan Song, Xia Hu
Efficient Neural Architecture Search with Network Morphism. CoRR (2018)
Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu
Tensor Completion Algorithms in Big Data Analytics. CoRR (2017)
Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu
Multi-Aspect Streaming Tensor Completion. KDD (2017)