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2020 – today
- 2023
[j9]Huale Li
, Zengyue Guo, Yang Liu, Xuan Wang, Shuhan Qi, Jiajia Zhang, Jing Xiao:
Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR. Knowl. Based Syst. 272: 110567 (2023)- [j8]Qian Chen, Xuan Wang, Zoe Lin Jiang, Yulin Wu, Huale Li, Lei Cui, Xiaozhen Sun:
Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments. Neural Comput. Appl. 35(22): 16193-16222 (2023) - 2022
- [j7]Huale Li, Xuan Wang, Fengwei Jia, Yulin Wu, Jiajia Zhang, Shuhan Qi:
RLCFR: Minimize counterfactual regret by deep reinforcement learning. Expert Syst. Appl. 187: 115953 (2022) - [c6]Song Qin, Lei Zhang, Shuhan Qi, Jiajia Zhang, Huale Li, Xuan Wang, Jing Xiao:
EFDO: Solving Extensive-Form Games Based On Double Oracle. ICDIS 2022: 382-387 - [c5]Huale Li, Shuhan Qi, Jiajia Zhang, Dandan Zhang, Lin Yao, Xuan Wang, Qi Li, Jing Xiao:
NFSP-PER: An efficient sampling NFSP-based method with prioritized experience replay. ICDIS 2022: 388-393 - [c4]Jiajia Zhang, Zengyue Guo, Huale Li, Xuan Wang, Dongming Liu, Shuhan Qi:
LwDeepStack: A lightweight DeepStack based on knowledge distillation. ICDIS 2022: 435-441 - 2021
- [j6]Huale Li, Rui Cao, Xuan Wang, Xiaohan Hou, Tao Qian, Fengwei Jia, Jiajia Zhang, Shuhan Qi:
AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game. Complex. 2021: 6698231:1-6698231:9 (2021) - [j5]Fengwei Jia, Xuan Wang, Jian Guan, Huale Li, Chen Qiu, Shuhan Qi:
WRGPruner: A new model pruning solution for tiny salient object detection. Image Vis. Comput. 109: 104143 (2021) - [j4]Fengwei Jia, Xuan Wang, Jian Guan, Huale Li, Chen Qiu, Shuhan Qi:
ARank: Toward specific model pruning via advantage rank for multiple salient objects detection. Image Vis. Comput. 111: 104192 (2021) - [j3]Huale Li, Xuan Wang, Kunchi Li, Fengwei Jia, Yulin Wu, Jiajia Zhang, Shuhan Qi:
Scalable sub-game solving for imperfect-information games. Knowl. Based Syst. 231: 107434 (2021) - [i3]Huale Li, Xuan Wang, Zengyue Guo, Jiajia Zhang, Shuhan Qi:
NNCFR: Minimize Counterfactual Regret with Neural Networks. CoRR abs/2105.12328 (2021) - 2020
- [j2]Fengwei Jia, Jian Guan, Shuhan Qi, Huale Li, Xuan Wang:
A mix-supervised unified framework for salient object detection. Appl. Intell. 50(9): 2945-2958 (2020) - [j1]Fengwei Jia, Xuan Wang, Jian Guan, Qing Liao, Jiajia Zhang, Huale Li, Shuhan Qi:
Bi-Connect Net for salient object detection. Neurocomputing 384: 142-155 (2020) - [i2]Huale Li, Xuan Wang, Shuhan Qi, Jiajia Zhang, Yang Liu, Fengwei Jia:
Solving imperfect-information games via exponential counterfactual regret minimization. CoRR abs/2008.02679 (2020) - [i1]Huale Li, Xuan Wang, Fengwei Jia, Yifan Li, Yulin Wu, Jiajia Zhang, Shuhan Qi:
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning. CoRR abs/2009.06373 (2020)
2010 – 2019
- 2019
- [c3]Huale Li, Xuan Wang, Shuhan Qi, Yang Liu, Haojie Wang, Fengwei Jia, Jiajia Zhang:
Solving Six-Player Games via Online Situation Estimation. ICTAI 2019: 1795-1799 - [c2]Fengwei Jia, Xuan Wang, Jian Guan, Shuhan Qi, Qing Liao, Huale Li:
Bi-directional Features Reuse Network for Salient Object Detection. PRICAI (3) 2019: 29-41 - 2018
- [c1]Zhaobin Wang, Lina Chen, Huale Li, Jian Li, Ying Zhu, Jie Wang:
Comparative Study on Different PCNN Models in Plant Leaf Classification. ICIA 2018: 560-564
Coauthor Index
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