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2020 – today
- 2024
[j8]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)- [j7]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): 1412 (2024) - [c19]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. CIKM 2024: 4366-4373 - [c18]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: 4804-4815 - [c17]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: 1407-1409 - [i19]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 abs/2401.04044 (2024) - [i18]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. CoRR abs/2402.06859 (2024) - [i17]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 abs/2402.13435 (2024) - [i16]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 abs/2407.13218 (2024) - 2023
- [j6]Haifeng Jin, François Chollet, Qingquan Song, Xia Hu:
AutoKeras: An AutoML Library for Deep Learning. J. Mach. Learn. Res. 24: 6:1-6:6 (2023) - [i15]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 abs/2302.09693 (2023) - 2022
- [j5]Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu:
Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data 5 (2022) - [j4]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): 7928-7936 (2022) - [c16]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: 3869-3877 - [c15]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW 2022: 1226-1237 - [i14]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR abs/2202.06241 (2022) - [i13]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 abs/2212.04343 (2022) - 2020
- [j3]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: 2 (2020) - [j2]Yi-Wei Chen, Qingquan Song, Xia Hu:
Techniques for Automated Machine Learning. SIGKDD Explor. 22(2): 35-50 (2020) - [c14]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Neural Networks. IJCAI 2020: 1352-1358 - [c13]Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu:
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. KDD 2020: 945-955 - [c12]Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu:
Detecting Interactions from Neural Networks via Topological Analysis. NeurIPS 2020 - [c11]Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu:
AutoRec: An Automated Recommender System. RecSys 2020: 582-584 - [i12]Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu:
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. CoRR abs/2007.06434 (2020) - [i11]Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu:
AutoRec: An Automated Recommender System. CoRR abs/2007.07224 (2020) - [i10]Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu:
Towards Interaction Detection Using Topological Analysis on Neural Networks. CoRR abs/2010.13015 (2020)
2010 – 2019
- 2019
- [j1]Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu:
Tensor Completion Algorithms in Big Data Analytics. ACM Trans. Knowl. Discov. Data 13(1): 6:1-6:48 (2019) - [c10]Xiao Huang, Qingquan Song, Fan Yang, Xia Hu:
Large-Scale Heterogeneous Feature Embedding. AAAI 2019: 3878-3885 - [c9]Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. KDD 2019: 335-343 - [c8]Xiao Huang, Qingquan Song, Yuening Li, Xia Hu:
Graph Recurrent Networks With Attributed Random Walks. KDD 2019: 732-740 - [c7]Haifeng Jin, Qingquan Song, Xia Hu:
Auto-Keras: An Efficient Neural Architecture Search System. KDD 2019: 1946-1956 - [i9]Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-Label Adversarial Perturbations. CoRR abs/1901.00546 (2019) - [i8]Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. CoRR abs/1906.04386 (2019) - [i7]Yi-Wei Chen, Qingquan Song, Xia Hu:
Techniques for Automated Machine Learning. CoRR abs/1907.08908 (2019) - [i6]Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu:
Auto-GNN: Neural Architecture Search of Graph Neural Networks. CoRR abs/1909.03184 (2019) - [i5]Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. CoRR abs/1910.00370 (2019) - [i4]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Convolutional Networks. CoRR abs/1912.08306 (2019) - 2018
- [c6]Haifeng Jin, Qingquan Song, Xia Hu:
Discriminative Graph Autoencoder. ICBK 2018: 192-199 - [c5]Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-label Adversarial Perturbations. ICDM 2018: 1242-1247 - [c4]Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu:
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. KDD 2018: 1358-1367 - [c3]Xing Zhao, Qingquan Song, James Caverlee, Xia Hu:
TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. RecSys Challenge 2018: 8:1-8:6 - [c2]Xiao Huang, Qingquan Song, Jundong Li, Xia Hu:
Exploring Expert Cognition for Attributed Network Embedding. WSDM 2018: 270-278 - [i3]Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu:
Towards Explanation of DNN-based Prediction with Guided Feature Inversion. CoRR abs/1804.00506 (2018) - [i2]Haifeng Jin, Qingquan Song, Xia Hu:
Efficient Neural Architecture Search with Network Morphism. CoRR abs/1806.10282 (2018) - 2017
- [c1]Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu:
Multi-Aspect Streaming Tensor Completion. KDD 2017: 435-443 - [i1]Qingquan Song, Hancheng Ge, James Caverlee, Xia Hu:
Tensor Completion Algorithms in Big Data Analytics. CoRR abs/1711.10105 (2017)
Coauthor Index
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last updated on 2024-11-15 20:36 CET by the dblp team
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