Pairre: Knowledge graph embeddings via paired relation vectors L Chao, J He, T Wang, W Chu arXiv preprint arXiv:2011.03798, 2020 | 161 | 2020 |
Generating informative conversational response using recurrent knowledge-interaction and knowledge-copy X Lin, W Jian, J He, T Wang, W Chu Proceedings of the 58th annual meeting of the association for computational …, 2020 | 60 | 2020 |
Spatio-temporal hypergraph learning for next POI recommendation X Yan, T Song, Y Jiao, J He, J Wang, R Li, W Chu Proceedings of the 46th international ACM SIGIR conference on research and …, 2023 | 46 | 2023 |
Drgcn: Dynamic evolving initial residual for deep graph convolutional networks L Zhang, X Yan, J He, R Li, W Chu Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11254 …, 2023 | 10 | 2023 |
Latent dirichlet allocation for internet price war C Li, X Yan, X Deng, Y Qi, W Chu, L Song, J Qiao, J He, J Xiong Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 639-646, 2019 | 9 | 2019 |
Reinforcement learning for uplift modeling C Li, X Yan, X Deng, Y Qi, W Chu, L Song, J Qiao, J He, J Xiong arXiv preprint arXiv:1811.10158, 2018 | 8 | 2018 |
Structural Information Enhanced Graph Representation for Link Prediction L Shi, B Hu, D Zhao, J He, Z Zhang, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14964 …, 2024 | 3 | 2024 |
Marketing method and apparatus based on deep reinforcement learning J He US Patent 11,188,928, 2021 | 3 | 2021 |
Learning to Discover Various Simpson's Paradoxes J Wang, J He, W Xu, R Li, W Chu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2 | 2023 |
Method, apparatus, system, device, and storage medium for answering knowledge questions X Lin, J He, T Wang US Patent 11,461,317, 2022 | 2 | 2022 |
Deep reinforcement learning methods and apparatuses for referral marketing J He US Patent 11,210,690, 2021 | 2 | 2021 |
Method and apparatus of deep reinforcement learning for marketing cost control J He US Patent 11,295,332, 2022 | 1 | 2022 |
Knowledge graph processing Z Deng, J He, B Hu, T Fang, LIU Zhizhen, GUI Zhengke, L Liang, T Wang, ... US Patent App. 18/572,718, 2024 | | 2024 |
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints W Xu, J Wang, L Xie, J He, H Zhou, T Wang, X Wan, J Chen, C Qu, W Chu arXiv preprint arXiv:2309.15458, 2023 | | 2023 |
Exploring financially constrained small-and medium-sized enterprises based on a multi-relation translational graph attention network Q Liang, H Wei, Y Wu, F Wei, D Zhao, J He, X Zheng, G Ma, B Han Frontiers of Information Technology & Electronic Engineering 24 (3), 388-402, 2023 | | 2023 |
基于多关系平移图注意力网络的需融中小企业挖掘方法 Q LIANG, H WEI, Y WU, F WEI, D ZHAO, J HE, X ZHENG, G MA, B HAN, ... Frontiers 24 (3), 388-402, 2023 | | 2023 |
A Policy Gradient Method with Variance Reduction for Uplift Modeling. C Li, X Yan, X Deng, Y Qi, W Chu, L Song, J Qiao, J He, J Xiong arXiv preprint arXiv:1811.10158, 2018 | | 2018 |
An Efficient Mean-field Approach to High-Order Markov Logic W Xu, J He, J Wang, H Zhou, X Wan, T Wang, R Li, W Chu | | |