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Kai Guan
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2020 – today
- 2024
- [j7]Zhipeng Hu, Haoyu Liu, Yu Xiong, Lizi Wang, Runze Wu, Kai Guan, Yujing Hu, Tangjie Lyu, Changjie Fan:
Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. Multim. Tools Appl. 83(2): 6161-6182 (2024) - [c9]Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan:
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. KDD 2024: 6073-6082 - [i3]Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan:
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. CoRR abs/2402.12685 (2024) - 2023
- [j6]Hao Zhang, Guowang Jin, Xin Xiong, Jin Wang, Kai Guan:
Block Adjustment of Orientation Parameters and Interferometric Parameters Using Very High-Resolution SAR Data for DSM Mapping. IEEE Access 11: 122164-122174 (2023) - [j5]Jie Du, Kai Guan, Yanhong Zhou, Yuanman Li, Tianfu Wang:
Parameter-Free Similarity-Aware Attention Module for Medical Image Classification and Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 845-857 (2023) - [j4]Jie Du, Kai Guan, Peng Liu, Yuanman Li, Tianfu Wang:
Boundary-Sensitive Loss Function With Location Constraint for Hard Region Segmentation. IEEE J. Biomed. Health Informatics 27(2): 992-1003 (2023) - [i2]Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah:
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR abs/2303.13512 (2023) - 2021
- [c8]Yanhong Zhou, Jie Du, Kai Guan, Tianfu Wang:
Multi-modal Broad Learning System for Medical Image and Text-based Classification. EMBC 2021: 3439-3442 - [c7]Kai Guan, Xiaoke Chai, Zhimin Zhang, Qian Li, Haijun Niu:
Evaluation of Mental Workload in Working Memory Tasks with Different Information Types Based on EEG. EMBC 2021: 5682-5685 - [c6]Zhimin Zhang, Kai Guan, Li Wang, Xiaoke Chai, Yingnan Ma, Xing Gao, Tao Liu, Haijun Niu:
Effects of Jaw Clench Actions on Steady-State Visual Evoked Potential Detection at Some Typical Frequencies. EMBC 2021: 6142-6145 - [c5]Zhimin Zhang, Kai Guan, Zhaopeng Qian, Fei Shen, Tao Liu, Haijun Niu:
Synchronous Classification of SSVEP-EMG Fusion Signal from Occipital Electrodes Using Convolutional Neural Networks. NER 2021: 17-20 - [c4]Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah:
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) 2021: 171-188 - 2020
- [j3]Xiaoke Chai, Zhimin Zhang, Kai Guan, Yangting Lu, Guitong Liu, Tengyu Zhang, Haijun Niu:
A hybrid BCI-controlled smart home system combining SSVEP and EMG for individuals with paralysis. Biomed. Signal Process. Control. 56 (2020) - [j2]Xiaoke Chai, Zhimin Zhang, Kai Guan, Tengyu Zhang, Jinxiu Xu, Haijun Niu:
Effects of fatigue on steady state motion visual evoked potentials: Optimised stimulus parameters for a zoom motion-based brain-computer interface. Comput. Methods Programs Biomed. 196: 105650 (2020) - [c3]Meng Wang, Yingfeng Chen, Tangjie Lv, Yan Song, Kai Guan, Changjie Fan, Yang Yu:
Reinforcement Learning with Action-Specific Focuses in Video Games. CoG 2020: 9-16
2010 – 2019
- 2019
- [c2]Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI 2019: 4447-4453 - [i1]Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. CoRR abs/1905.13719 (2019) - 2016
- [c1]Kai Guan, Lin Ma, Xuezhi Tan, Shizeng Guo:
Vision-based indoor localization approach based on SURF and landmark. IWCMC 2016: 655-659 - 2010
- [j1]Jibao Gu, Kai Guan, Huaqing Wu:
Is performance driven by industry effects or firm effects? - An empirical research on the listed companies in China by variance components analysis. Int. J. Netw. Virtual Organisations 7(4): 366-380 (2010)
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