Comparative Study on Different PCNN Models in Plant Leaf Classification. - Zhaobin Wang; Lina Chen; Huale Li; Jian Li; Ying Zhu 009; Jie Wang (ICIA, 2018)

Solving Six-Player Games via Online Situation Estimation. - Huale Li; Xuan Wang 002; Shuhan Qi; Yang Liu 039; Haojie Wang; Fengwei Jia; Jiajia Zhang 001 (ICTAI, 2019)

Bi-directional Features Reuse Network for Salient Object Detection. - Fengwei Jia; Xuan Wang 002; Jian Guan 001; Shuhan Qi; Qing Liao 001; Huale Li (PRICAI (3), 2019)

A mix-supervised unified framework for salient object detection. - Fengwei Jia; Jian Guan 001; Shuhan Qi; Huale Li; Xuan Wang 002 (Appl. Intell., 2020)

Solving imperfect-information games via exponential counterfactual regret minimization. - Huale Li; Xuan Wang 002; Shuhan Qi; Jiajia Zhang 001; Yang Liu 039; Fengwei Jia (CoRR, 2020)

RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning. - Huale Li; Xuan Wang 002; Fengwei Jia; Yifan Li; Yulin Wu 001; Jiajia Zhang 001; Shuhan Qi (CoRR, 2020)

Bi-Connect Net for salient object detection. - Fengwei Jia; Xuan Wang 002; Jian Guan 001; Qing Liao 001; Jiajia Zhang 001; Huale Li; Shuhan Qi (Neurocomputing, 2020)

AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game. - Huale Li; Rui Cao; Xuan Wang 002; Xiaohan Hou; Tao Qian 003; Fengwei Jia; Jiajia Zhang 001; Shuhan Qi (Complex., 2021)

NNCFR: Minimize Counterfactual Regret with Neural Networks. - Huale Li; Xuan Wang 002; Zengyue Guo; Jiajia Zhang 001; Shuhan Qi (CoRR, 2021)

WRGPruner: A new model pruning solution for tiny salient object detection. - Fengwei Jia; Xuan Wang 002; Jian Guan 001; Huale Li; Chen Qiu 003; Shuhan Qi (Image Vis. Comput., 2021)

ARank: Toward specific model pruning via advantage rank for multiple salient objects detection. - Fengwei Jia; Xuan Wang 002; Jian Guan 001; Huale Li; Chen Qiu 003; Shuhan Qi (Image Vis. Comput., 2021)

Scalable sub-game solving for imperfect-information games. - Huale Li; Xuan Wang 002; Kunchi Li; Fengwei Jia; Yulin Wu 001; Jiajia Zhang 001; Shuhan Qi (Knowl. Based Syst., 2021)

NFSP-PER: An efficient sampling NFSP-based method with prioritized experience replay. - Huale Li; Shuhan Qi; Jiajia Zhang 001; Dandan Zhang; Lin Yao 004; Xuan Wang 002; Qi Li; Jing Xiao 006 (ICDIS, 2022)

EFDO: Solving Extensive-Form Games Based On Double Oracle. - Song Qin; Lei Zhang; Shuhan Qi; Jiajia Zhang 001; Huale Li; Xuan Wang 002; Jing Xiao 006 (ICDIS, 2022)

LwDeepStack: A lightweight DeepStack based on knowledge distillation. - Jiajia Zhang 001; Zengyue Guo; Huale Li; Xuan Wang 002; Dongming Liu; Shuhan Qi (ICDIS, 2022)

RLCFR: Minimize counterfactual regret by deep reinforcement learning. - Huale Li; Xuan Wang 002; Fengwei Jia; Yulin Wu 001; Jiajia Zhang 001; Shuhan Qi (Expert Syst. Appl., 2022)

Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR. - Huale Li; Zengyue Guo; Yang Liu 039; Xuan Wang 002; Shuhan Qi; Jiajia Zhang 001; Jing Xiao 006 (Knowl. Based Syst., 2023)

Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments. - Qian Chen 028; Xuan Wang 002; Zoe Lin Jiang; Yulin Wu 001; Huale Li; Lei Cui; Xiaozhen Sun (Neural Comput. Appl., 2023)

D2CFR: Minimize Counterfactual Regret With Deep Dueling Neural Network. - Huale Li; Xuan Wang 002; Zengyue Guo; Jiajia Zhang 001; Shuhan Qi (IEEE Trans. Neural Networks Learn. Syst., 2024)

FGLight: Learning Neighbor-level Information for Traffic Signal Control. - Hang Xiao; Huale Li; Shuhan Qi; Jiajia Zhang 001; Dingzhong Cai (AAMAS, 2025)

Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation. - Fengwei Jia; Fengyuan Jia; Huale Li; Shuhan Qi; Hongli Zhu (Inf. Process. Manag., 2025)

Parameters security strategy formulated by hyperchaos in federal learning. - Zhen Yang; Tiancheng Yang; Shouliang Li; Huale Li (Appl. Intell., 2025)