no code implementations • 27 Mar 2024 • Hanqing Fu, Gaolei Li, Jun Wu, Jianhua Li, Xi Lin, Kai Zhou, Yuchen Liu
Federated neuromorphic learning (FedNL) leverages event-driven spiking neural networks and federated learning frameworks to effectively execute intelligent analysis tasks over amounts of distributed low-power devices but also perform vulnerability to poisoning attacks.
no code implementations • 30 Nov 2023 • Kangkang Sun, Xiaojin Zhang, Xi Lin, Gaolei Li, Jing Wang, Jianhua Li
Researchers have struggled to design fair FL systems that ensure fairness of results.
1 code implementation • 24 Sep 2023 • Zheng Wang, Hongming Ding, Li Pan, Jianhua Li, Zhiguo Gong, Philip S. Yu
Graph-based semi-supervised learning (GSSL) has long been a hot research topic.
1 code implementation • IEEE Transactions on Network Science and Engineering 2023 • Yilun Hu, Jun Wu, Gaolei Li, Jianhua Li, Jinke Cheng
Extensive experiments based on multiple benchmark datasets like CICIDS2017 and DAPT 2020 prove the superiority of proposed PFTD.
1 code implementation • ICCV 2021 • Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang
Deep learning based visual trackers entail offline pre-training on large volumes of video datasets with accurate bounding box annotations that are labor-expensive to achieve.
no code implementations • 29 Dec 2020 • Qianqian Pan, Jun Wu, Xi Zheng, Jianhua Li, Shenghong Li, Athanasios V. Vasilakos
The ever-increasing data traffic, various delay-sensitive services, and the massive deployment of energy-limited Internet of Things (IoT) devices have brought huge challenges to the current communication networks, motivating academia and industry to move to the sixth-generation (6G) network.
no code implementations • 2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC) 2020 • Tianpeng Ye, Yinghua Ma, Xiang Lin, Jianhua Li
It leads to lacking fine-grained analysis and generalization ability of the stance detection algorithm.
2 code implementations • CVPR 2020 • Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang
Most top-ranked long-term trackers adopt the offline-trained Siamese architectures, thus, they cannot benefit from great progress of short-term trackers with online update.
Ranked #10 on Visual Object Tracking on LaSOT-ext
2 code implementations • 27 Feb 2018 • Jianhua Li, Siyuan Dong, Edward Adelson
Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community.
Robotics
1 code implementation • 10 Jun 2017 • Yanchao Liang, Jianhua Li
In order to increase accuracy of detection and reduce the error of volume estimation in food calorie estimation, we present our calorie estimation method in this paper.
2 code implementations • 22 May 2017 • Yanchao Liang, Jianhua Li
In this paper, we present a novel food image data set with volume and mass records of foods, and a deep learning method for food detection, to make a complete calorie estimation.