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ORCIDFengda Zhao
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2020 – today
- 2026
[j16]Pengwei Zhang, Xiaoqing Shao, Yuxuan Zhao
, Fengda Zhao:
Hierarchical-Split Multi-Scale Convolution Network With Multi-Task Learning for Human Activity Recognition in Wearable Devices. Expert Syst. J. Knowl. Eng. 43(2) (2026)- [j15]Xihao Fan, Fengda Zhao, Jingdu Yu, Peiliang Wu, Chang Gao, Hongbing Xie, Qiulin Guo, Hong-Jia Ren:
DWOA-BNC: Discrete whale optimization algorithm for Bayesian network classifier learning and its application. Pattern Recognit. 173: 112661 (2026) - 2025
- [j14]Fengda Zhao, Qianyi Xu, Hao Wang, Dingding Guo:
Rapid federated unlearning with tuning parameters based on fisher information matrix. Appl. Intell. 55(15): 980 (2025) - [j13]Xianshan Li, Ang Gao, Xingxing Ning, Fengda Zhao:
Human motion prediction using Mixture-of-Branch Graph Convolutional Network. Eng. Appl. Artif. Intell. 162: 112511 (2025) - [j12]Fengda Zhao, Hongjin Lv, Zhuoyi Zhao, Xianshan Li, Miaomiao Liu:
Lithology identification method combining attribute generation group and generative adversarial network. Earth Sci. Informatics 18(4): 375 (2025) - [j11]Xianshan Li, Yuan Dong, Guoliang Jia, Fengda Zhao, Pengwei Zhang:
TCD-GCN-Light: A Lightweight Temporal-Channel Decoupling Graph Convolutional Network for human early action prediction based on channel fusion. Expert Syst. Appl. 275: 126931 (2025) - [j10]Peng Zhou, Qike Cao, Bingyu Cao, Wei Chen, Bo Jin, Fengda Zhao:
CECEHO-GCS: A New Green Energy-Efficient Clustering Protocol Based on Intelligent Optimization Theory in Industrial IoT. IEEE Internet Things J. 12(8): 10907-10919 (2025) - [j9]Fengda Zhao, Zihan Zhou, Haobing Zhai, Pengwei Zhang, Xianshan Li:
ResGAT: A Residual Graph Attention Network for Lithology Identification. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j8]Shaohua Zhang, Haoze Li, Bingyi Mao, Fengda Zhao, Wenbai Chen, Guowei Gao, Peiliang Wu:
MambaSlip: A Novel Multimodal Large Language Model for Real-Time Robotic Slip Detection. IEEE Robotics Autom. Lett. 10(7): 6592-6599 (2025) - [c8]Xianshan Li, Kaixuan Feng, Haoyu Wang, Fengda Zhao:
A Lightweight Unified Generative Framework with Prompting for Chinese and English Spoken Language Understanding. CSCWD 2025: 1851-1856 - 2024
- [j7]Miaomiao Liu, Haoran Xu, Fengda Zhao, Qiang Zhang, Ying Jia, Jiahao Xi:
Porosity Prediction Based on Ensemble Learning for Feature Selection and an Optimized GRU Improved by the PSO Algorithm. Int. J. Comput. Intell. Syst. 17(1): 189 (2024) - [j6]Weihang Kong, Zepeng Yu, He Li, Liangang Tong, Fengda Zhao, Yang Li:
CrowdAlign: Shared-weight dual-level alignment fusion for RGB-T crowd counting. Image Vis. Comput. 148: 105152 (2024) - [j5]Xianshan Li, Neng Zhang, Bin-Quan Cai, Jingwen Kang, Fengda Zhao:
Adversarial Graph Convolutional Network for Skeleton-Based Early Action Prediction. J. Comput. Sci. Technol. 39(6): 1269-1280 (2024) - [c7]Bin Wang, Haoyu Wang, Xianshan Li, Fengda Zhao:
JEAPC: A Joint Extraction Model of Action Sequence from Chinese Instructions for Home Service Robot. WISA 2024: 536-548 - [c6]Xianshan Li, Yuan Dong, Xingxing Ning, Pengwei Zhang, Fengda Zhao:
ADAL-GCN: Action Description Aided Learning Graph Convolution Network for Early Action Prediction. PRCV (11) 2024: 3-22 - 2023
- [j4]Xianshan Li, Jingwen Kang, Yang Yang, Fengda Zhao:
A Lightweight Attentional Shift Graph Convolutional Network for Skeleton-Based Action Recognition. Int. J. Comput. Commun. Control 18(3) (2023) - 2022
- [j3]Xianshan Li, Fengchan Meng, Fengda Zhao, Dingding Guo, Fengwei Lou, Rong Jing:
Two-stream adaptive-attentional subgraph convolution networks for skeleton-based action recognition. Multim. Tools Appl. 81(4): 4821-4838 (2022) - [c5]Fengda Zhao, Menglu Qiu, Xianshan Li, Dingding Guo:
Dynamic Network Model for Multi-Domain End-to-end Task-Oriented Dialogue System. IROS 2022: 6095-6100 - 2021
- [j2]Fengda Zhao, Zhikai Yang, Xianshan Li, Dingding Guo, Haitao Li:
Extract Executable Action Sequences from Natural Language Instructions Based on DQN for Medical Service Robots. Int. J. Comput. Commun. Control 16(2) (2021)
2010 – 2019
- 2019
- [j1]Weihang Kong, He Li, Guanglong Xing, Fengda Zhao:
An Automatic Scale-Adaptive Approach With Attention Mechanism-Based Crowd Spatial Information for Crowd Counting. IEEE Access 7: 66215-66225 (2019) - 2016
- [c4]Xianshan Li, Maoyuan Sun, Zhenjun Liu, Fengda Zhao:
Active loop closing based on laser data in indoor environment. ICIA 2016: 807-812 - 2013
- [c3]Fengda Zhao, Minzhe Sun, Xianshan Li, Xueguang Zhang:
An approach to loop-closing based on RGB-D images. ROBIO 2013: 680-685 - [c2]Xianshan Li, Xiang Hou, Fengda Zhao:
An approach to detecting person's unwonted behavior for service robot. ROBIO 2013: 2614-2619
2000 – 2009
- 2007
- [c1]Xianshan Li, Fengda Zhao, Lingfu Kong, Peiliang Wu:
Learning human daily behavior habit patterns using EM algorithm for service robot. ROBIO 2007: 239-243
Coauthor Index
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