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ORCIDFeiyu Zhu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j11]Feiyu Zhu, Jing Zhang, Ruochen Dang, Bingliang Hu, Quan Wang:
MTNet: Multimodal transformer network for mild depression detection through fusion of EEG and eye tracking. Biomed. Signal Process. Control. 100: 106996 (2025)- 2024
- [j10]Zhuoyuan Li
, Xuquan Ji, Chuantao Wang, Wenyong Liu, Feiyu Zhu, Jiliang Zhai:
2D/3D-MGR: A 2D/3D Medical Image Registration Framework Based on DRR. IEEE Access 12: 124365-124374 (2024) - [j9]Guanglei Song, Lin He, Feiyu Zhu, Jinlei Lin, Wenjian Zhang, Linna Fan, Chenglong Li, Zhiliang Wang, Jiahai Yang:
AddrMiner: A Fast, Efficient, and Comprehensive Global Active IPv6 Address Detection System. IEEE/ACM Trans. Netw. 32(5): 3870-3887 (2024) - [c18]Feiyu Zhu, Reid G. Simmons:
Bootstrapping Cognitive Agents with a Large Language Model. AAAI 2024: 655-663 - [c17]Junhao Su, Changpeng Cai, Feiyu Zhu, Chenghao He, Xiaojie Xu, Dongzhi Guan, Chenyang Si:
Momentum Auxiliary Network for Supervised Local Learning. ECCV (20) 2024: 276-292 - [c16]Junhao Su, Chenghao He, Feiyu Zhu, Xiaojie Xu, Dongzhi Guan, Chenyang Si:
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion. ECCV (20) 2024: 293-309 - [i11]Feiyu Zhu, Reid G. Simmons:
Bootstrapping Cognitive Agents with a Large Language Model. CoRR abs/2403.00810 (2024) - [i10]Feiyu Zhu, Yuming Zhang, Changpeng Cai, Guinan Guo, Jiao Li, Xiuyuan Guo, Quanwei Zhang, Peizhe Wang, Chenghao He, Junhao Su:
GLCAN: Global-Local Collaborative Auxiliary Network for Local Learning. CoRR abs/2406.00446 (2024) - [i9]Yuming Zhang, Shouxin Zhang, Peizhe Wang, Feiyu Zhu, Dongzhi Guan, Jiabin Liu, Changpeng Cai:
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network. CoRR abs/2406.16633 (2024) - [i8]Junhao Su, Changpeng Cai, Feiyu Zhu, Chenghao He, Xiaojie Xu, Dongzhi Guan, Chenyang Si:
Momentum Auxiliary Network for Supervised Local Learning. CoRR abs/2407.05623 (2024) - [i7]Junhao Su, Chenghao He, Feiyu Zhu, Xiaojie Xu, Dongzhi Guan, Chenyang Si:
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion. CoRR abs/2407.05638 (2024) - [i6]Yaoze Zhang, Yuming Zhang, Yu Zhao, Yue Zhang, Feiyu Zhu:
LAKD-Activation Mapping Distillation Based on Local Learning. CoRR abs/2408.11478 (2024) - [i5]Xiuyuan Guo, Chengqi Xu, Guinan Guo, Feiyu Zhu, Changpeng Cai, Peizhe Wang, Xiaoming Wei, Junhao Su, Jialin Gao:
Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning. CoRR abs/2411.12780 (2024) - 2023
- [c15]Pengyu Peng, Zongyong Deng, Feiyu Zhu, Qijun Zhao:
Non-local Temporal Modeling for Practical Skeleton-Based Gait Recognition. PRCV (5) 2023: 97-109 - 2022
- [j8]Mingbo Hong, Shuiwang Li, Yuchao Yang, Feiyu Zhu, Qijun Zhao, Li Lu:
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection From UAV Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Feiyu Zhu, Shaowei Zhen, Xilin Yi, Haoran Pei, Bowen Hou, Yajuan He:
Design of Approximate Radix-256 Booth Encoding for Error-Tolerant Computing. IEEE Trans. Circuits Syst. II Express Briefs 69(4): 2286-2290 (2022) - [j6]Martin Lysy, Feiyu Zhu, Bryan Yates, Aleksander Labuda:
Robust and Efficient Parametric Spectral Density Estimation for High-Throughput Data. Technometrics 64(1): 30-51 (2022) - 2021
- [j5]Penghui Gui, Wenjie Dang, Feiyu Zhu, Qijun Zhao:
Towards automatic field plant disease recognition. Comput. Electron. Agric. 191: 106523 (2021) - [j4]Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Hyperspectral Images Based on Neural Networks. IEEE Computer Graphics and Applications 41(5): 57-66 (2021) - [j3]Tian Gao, Feiyu Zhu, Puneet Paul, Jaspreet Sandhu, Henry Akrofi Doku, Jianxin Sun, Yu Pan, Paul Staswick, Harkamal Walia, Hongfeng Yu:
Novel 3D Imaging Systems for High-Throughput Phenotyping of Plants. Remote. Sens. 13(11): 2113 (2021) - [c14]Wenxue Yuan, Qijun Zhao, Feiyu Zhu, Zhengxi Liu:
To See Facial Expressions Through Occlusions via Adversarial Disentangled Features Learning with 3D Supervision. CCBR 2021: 84-91 - [c13]Jiaxin Li, Feiyu Zhu, Xiao Yang, Qijun Zhao:
3D Face Point Cloud Super-Resolution Network. IJCB 2021: 1-8 - [c12]Ruowei Wang, Chenguo Lin, Qijun Zhao, Feiyu Zhu:
Watermark Faker: Towards Forgery of Digital Image Watermarking. ICME 2021: 1-6 - [i4]Ruowei Wang, Chenguo Lin, Qijun Zhao, Feiyu Zhu:
Watermark Faker: Towards Forgery of Digital Image Watermarking. CoRR abs/2103.12489 (2021) - [i3]Mingbo Hong, Shuiwang Li, Yuchao Yang, Feiyu Zhu, Qijun Zhao, Li Lu:
SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images. CoRR abs/2107.01548 (2021) - 2020
- [c11]Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu:
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. CVPR 2020: 8303-8311 - [c10]Penghui Gui, Ruowei Wang, Zhengbang Zhu, Feiyu Zhu, Qijun Zhao:
Improved Data Augmentation of Deep Convolutional Neural Network for Pollen Grains Classification - Third Classified. ICPR Workshops (8) 2020: 490-500 - [i2]Yanru Huang, Feiyu Zhu, Zheni Zeng, Xi Qiu, Yuan Shen, Jianan Wu:
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking. CoRR abs/2004.07472 (2020)
2010 – 2019
- 2019
- [c9]Yu Pan, Feiyu Zhu, Tian Gao, Hongfeng Yu:
Adaptive Deep Learning based Time-Varying Volume Compression. IEEE BigData 2019: 1187-1194 - [c8]Feiyu Zhu, Yu Pan, Tian Gao, Harkamal Walia, Hongfeng Yu:
Interactive Visualization of Time-Varying Hyperspectral Plant Images for High-Throughput Phenotyping. IEEE BigData 2019: 1274-1281 - [c7]Tian Gao, Jianxin Sun, Feiyu Zhu, Henry Akrofi Doku, Yu Pan, Harkamal Walia, Hongfeng Yu:
Plant Event Detection from Time-Varying Point Clouds. IEEE BigData 2019: 3321-3329 - [c6]Yu Pan, Feiyu Zhu, Hongfeng Yu:
A Scientific Data Representation Through Particle Flow Based Linear Interpolation. BigDataService 2019: 19-28 - 2018
- [j2]Jieting Wu, Feiyu Zhu, Xin Liu, Hongfeng Yu:
An Information-Theoretic Framework for Evaluating Edge Bundling Visualization. Entropy 20(9): 625 (2018) - [j1]Suresh Thapa, Feiyu Zhu, Harkamal Walia, Hongfeng Yu, Yufeng Ge:
A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum. Sensors 18(4): 1187 (2018) - [c5]Feiyu Zhu, Suresh Thapa, Tiao Gao, Yufeng Ge, Harkamal Walia, Hongfeng Yu:
3D Reconstruction of Plant Leaves for High-Throughput Phenotyping. IEEE BigData 2018: 4285-4293 - [c4]Kwo-Sen Kuo, Yu Pan, Feiyu Zhu, Jin Wang, Michael L. Rilee, Hongfeng Yu:
A Big Earth Data Platform Exploiting Transparent Multimodal Parallelization. IGARSS 2018: 6532-6535 - 2017
- [c3]Lina Yu, Michael L. Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu:
Visual analytics with unparalleled variety scaling for big earth data. IEEE BigData 2017: 514-521 - [c2]Jieting Wu, Jianping Zeng, Feiyu Zhu, Hongfeng Yu:
MLSEB: Edge Bundling Using Moving Least Squares Approximation. GD 2017: 379-393 - [i1]Jieting Wu, Jianping Zeng, Feiyu Zhu, Hongfeng Yu:
MLSEB: Edge Bundling using Moving Least Squares Approximation. CoRR abs/1709.01221 (2017) - 2016
- [c1]Lina Yu, Feiyu Zhu, Hongfeng Yu, Jun Wang, Kwo-Sen Kuo:
Feature extraction and tracking for large-scale geospatial data. IGARSS 2016: 1504-1507
Coauthor Index
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