Xiuqiang He
Xiuqiang He
FIT, Tencent
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DeepFM: a factorization-machine based neural network for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He
arXiv preprint arXiv:1703.04247, 2017
Federated meta-learning with fast convergence and efficient communication
F Chen, M Luo, Z Dong, Z Li, X He
arXiv preprint arXiv:1802.07876, 2018
Product-based neural networks for user response prediction over multi-field categorical data
Y Qu, B Fang, W Zhang, R Tang, M Niu, H Guo, Y Yu, X He
ACM Transactions on Information Systems (TOIS) 37 (1), 1-35, 2018
Autofis: Automatic feature interaction selection in factorization models for click-through rate prediction
B Liu, C Zhu, G Li, W Zhang, J Lai, R Tang, X He, Z Li, Y Yu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Efficient SAT-based mapping and scheduling of homogeneous synchronous dataflow graphs for throughput optimization
W Liu, M Yuan, X He, Z Gu, X Liu
2008 Real-Time Systems Symposium, 492-504, 2008
Interactive recommender system via knowledge graph-enhanced reinforcement learning
S Zhou, X Dai, H Chen, W Zhang, K Ren, R Tang, X He, Y Yu
Proceedings of the 43rd international acm sigir conference on research and …, 2020
An efficient algorithm for online management of 2d area of partially reconfigurable fpgas
J Cui, Q Deng, X He, Z Gu
2007 Design, Automation & Test in Europe Conference & Exhibition, 1-6, 2007
A general knowledge distillation framework for counterfactual recommendation via uniform data
D Liu, P Cheng, Z Dong, X He, W Pan, Z Ming
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Multi-graph convolution collaborative filtering
J Sun, Y Zhang, C Ma, M Coates, H Guo, R Tang, X He
2019 IEEE International Conference on Data Mining (ICDM), 1306-1311, 2019
Deepfm: An end-to-end wide & deep learning framework for CTR prediction
H Guo, R Tang, Y Ye, Z Li, X He, Z Dong
arXiv preprint arXiv:1804.04950, 2018
Personalized tag recommendation through nonlinear tensor factorization using gaussian kernel
X Fang, R Pan, G Cao, X He, W Dai
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Neighbor interaction aware graph convolution networks for recommendation
J Sun, Y Zhang, W Guo, H Guo, R Tang, X He, C Ma, M Coates
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
A framework for recommending accurate and diverse items using bayesian graph convolutional neural networks
J Sun, W Guo, D Zhang, Y Zhang, F Regol, Y Hu, H Guo, R Tang, H Yuan, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
A panoramic view of 3G data/control-plane traffic: Mobile device perspective
X He, PPC Lee, L Pan, C He, J Lui
International Conference on Research in Networking, 318-330, 2012
Oceanst: a distributed analytic system for large-scale spatiotemporal mobile broadband data
M Yuan, K Deng, J Zeng, Y Li, B Ni, X He, F Wang, W Dai, Q Yang
Proceedings of the VLDB Endowment 7 (13), 1561-1564, 2014
Counterfactual contrastive learning for weakly-supervised vision-language grounding
Z Zhang, Z Zhao, Z Lin, X He
Advances in Neural Information Processing Systems 33, 18123-18134, 2020
Metaselector: Meta-learning for recommendation with user-level adaptive model selection
M Luo, F Chen, P Cheng, Z Dong, X He, J Feng, Z Li
Proceedings of The Web Conference 2020, 2507-2513, 2020
End-to-end deep reinforcement learning based recommendation with supervised embedding
F Liu, H Guo, X Li, R Tang, Y Ye, X He
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Autofeature: Searching for feature interactions and their architectures for click-through rate prediction
F Khawar, X Hang, R Tang, B Liu, Z Li, X He
Proceedings of the 29th ACM International Conference on Information …, 2020
Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs
M Yuan, Z Gu, X He, X Liu, L Jiang
ACM Transactions on Design Automation of Electronic Systems (TODAES) 15 (2 …, 2010
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