Deheng Ye
Deheng Ye
Director of AI Applications, Tencent
Verified email at - Homepage
Cited by
Cited by
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
G Chen, D Ye, Z Xing, J Chen, E Cambria
2017 International joint conference on neural networks (IJCNN), 2377-2383, 2017
Mastering complex control in moba games with deep reinforcement learning
D Ye, Z Liu, M Sun, B Shi, P Zhao, H Wu, H Yu, S Yang, X Wu, Q Guo, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6672-6679, 2020
Predicting semantically linkable knowledge in developer online forums via convolutional neural network
B Xu, D Ye, Z Xing, X Xia, G Chen, S Li
Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016
Towards playing full moba games with deep reinforcement learning
D Ye, G Chen, W Zhang, S Chen, B Yuan, B Liu, J Chen, Z Liu, F Qiu, ...
Advances in Neural Information Processing Systems 33, 621-632, 2020
Software-specific named entity recognition in software engineering social content
D Ye, Z Xing, CY Foo, ZQ Ang, J Li, N Kapre
2016 IEEE 23rd international conference on software analysis, evolution, and …, 2016
The structure and dynamics of knowledge network in domain-specific q&a sites: a case study of stack overflow
D Ye, Z Xing, N Kapre
Empirical Software Engineering 22, 375-406, 2017
Learning to extract api mentions from informal natural language discussions
D Ye, Z Xing, CY Foo, J Li, N Kapre
2016 IEEE International Conference on Software Maintenance and Evolution …, 2016
Supervised learning achieves human-level performance in moba games: A case study of honor of kings
D Ye, G Chen, P Zhao, F Qiu, B Yuan, W Zhang, S Chen, M Sun, X Li, S Li, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (3), 908-918, 2020
Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks.
J Li, D Ye, S Shang
IJCAI, 5053-5059, 2019
Relation-aware transformer for portfolio policy learning
K Xu, Y Zhang, D Ye, P Zhao, M Tan
Proceedings of the twenty-ninth international conference on international …, 2021
Juewu-mc: Playing minecraft with sample-efficient hierarchical reinforcement learning
Z Lin, J Li, J Shi, D Ye, Q Fu, W Yang
arXiv preprint arXiv:2112.04907, 2021
Don’t do that! hunting down visual design smells in complex uis against design guidelines
B Yang, Z Xing, X Xia, C Chen, D Ye, S Li
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
Activityspace: a remembrance framework to support interapplication information needs
L Bao, D Ye, Z Xing, X Xia, X Wang
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
Coordinated proximal policy optimization
Z Wu, C Yu, D Ye, J Zhang, HH Zhuo
Advances in Neural Information Processing Systems 34, 26437-26448, 2021
Which heroes to pick? Learning to draft in MOBA games with neural networks and tree search
S Chen, M Zhu, D Ye, W Zhang, Q Fu, W Yang
IEEE Transactions on Games 13 (4), 410-421, 2021
TiKick: towards playing multi-agent football full games from single-agent demonstrations
S Huang, W Chen, L Zhang, S Xu, Z Li, F Zhu, D Ye, T Chen, J Zhu
arXiv preprint arXiv:2110.04507, 2021
Mapgo: Model-assisted policy optimization for goal-oriented tasks
M Zhu, M Liu, J Shen, Z Zhang, S Chen, W Zhang, D Ye, Y Yu, Q Fu, ...
arXiv preprint arXiv:2105.06350, 2021
APIReal: an API recognition and linking approach for online developer forums
D Ye, L Bao, Z Xing, SW Lin
Empirical Software Engineering 23, 3129-3160, 2018
Software-specific part-of-speech tagging: An experimental study on stack overflow
D Ye, Z Xing, J Li, N Kapre
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1378-1385, 2016
Minerl diamond 2021 competition: Overview, results, and lessons learned
A Kanervisto, S Milani, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ...
NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022
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