Speed Up the Process of Reinforcement Learning for Robot Grasping. - Fengkai Ke; Daxing Zhao; Guodong Sun 002; Wei Feng 003 (FSDM, 2019)

Precise Evaluation for Continuous Action Control in Reinforcement Learning. - Fengkai Ke; Daxing Zhao; Guodong Sun 002; Wei Feng 003 (HPCCT/BDAI, 2019)

A Priority Experience Replay Sampling Method Based on Upper Confidence Bound. - Fengkai Ke; Daxing Zhao; Guodong Sun 002; Wei Feng 003 (ICDLT, 2019)

An Efficient and Accurate DDPG-Based Recurrent Attention Model for Object Localization. - Fengkai Ke (IEEE Access, 2020)

Exploring the Structural and Strategic Bases of Autism Spectrum Disorders With Deep Learning. - Fengkai Ke; Seungjin Choi; Young Ho Kang; Keun-Ah Cheon; Sang Wan Lee (IEEE Access, 2020)

Classification and Biomarker Exploration of Autism Spectrum Disorders Based on Recurrent Attention Model. - Fengkai Ke; Rui Yang (IEEE Access, 2020)

Diagnostic Biomarker Exploration of Autistic Patients With Different Ages and Different Verbal Intelligence Quotients Based on Random Forest Model. - Fengkai Ke; Huanping Liu; Mingcheng Zhou; Rui Yang; Hui-Min Cao (IEEE Access, 2021)

Quantized Multi-Tracking in the Multiagent System With Sampled Position Data via Intermittent Control. - Qian Tang; Yongzhi Fan; Fengkai Ke (IEEE Access, 2021)

Exploring sMRI Biomarkers for Diagnosis of Autism Spectrum Disorders Based on Multi Class Activation Mapping Models. - Rui Yang; Fengkai Ke; Huanping Liu; Mingcheng Zhou; Hui-Min Cao (IEEE Access, 2021)