Yang Lu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Class Imbalanced

Object Detection

Hyperspectral Image Classification

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Wenyan He, Yajun Jian, Yang Lu, Hanzi Wang
Visual-Linguistic Representation Learning with Deep Cross-Modality Fusion for Referring Multi-Object Tracking. ICASSP (2024)
Yajun Jian, Chihui Zhuang, Wenyan He, Kaiwen Du, Yang Lu, Hanzi Wang
Spatio-Temporal Correlation Learning for Multiple Object Tracking. ICASSP (2024)
Kaixuan Chen, Qianji Di, Yang Lu, Hanzi Wang
Semantic-Guided Network with Contrastive Learning for Video Caption. ICASSP (2024)
Zhenyu Qiu, Qiang Qi, Yang Lu, Yan Yan, Hanzi Wang
Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection. ICASSP (2024)
Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
Federated Learning with Extremely Noisy Clients via Negative Distillation. AAAI (2024)
Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning. CoRR (2024)
Liyuan Wang, Yan Jin, Zhen Chen, Jinlin Wu, Mengke Li, Yang Lu, Hanzi Wang
Transitive Vision-Language Prompt Learning for Domain Generalization. CoRR (2024)
Xinwen Fan, Yukang Zhang, Yang Lu, Hanzi Wang
PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition. IEEE Trans. Circuits Syst. Video Technol. 34 (1) (2024)
Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. AAAI (2024)
Hao Yang, Shuyuan Lin, Runqing Jiang, Yang Lu, Hanzi Wang
DQFORMER: Dynamic Query Transformer for Lane Detection. ICASSP (2023)
Qiang Qi, Tianxiang Hou, Yang Lu, Yan Yan, Hanzi Wang
DGRNet: A Dual-Level Graph Relation Network for Video Object Detection. IEEE Trans. Image Process. 32 (2023)
Qiang Qi, Tianxiang Hou, Yan Yan, Yang Lu, Hanzi Wang
TCNet: A Novel Triple-Cooperative Network for Video Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (8) (2023)
Yan Yan, Youze Xu, Jing-Hao Xue, Yang Lu, Hanzi Wang, Wentao Zhu
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples. IEEE Trans. Cybern. 53 (11) (2023)
Jun Liang, Haosheng Chen, Yan Yan, Yang Lu, Hanzi Wang
Guided Sampling Based Feature Aggregation for Video Object Detection. ICIP (2022)
Hanlin Guo, Yang Lu, Guobao Xiao, Shuyuan Lin, Hanzi Wang
Triplet Relationship Guided Sampling Consensus for Robust Model Estimation. IEEE Signal Process. Lett. 29 (2022)
Hanlin Guo, Yang Lu, Haosheng Chen, Hailing Luo, Guobao Xiao, Haifang Zhang, Hanzi Wang
Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers. IEEE Trans. Ind. Electron. 69 (4) (2022)
Xinyi Shang, Yang Lu, Yiu-ming Cheung, Hanzi Wang
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. CoRR (2022)
Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features. CoRR (2022)
Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang
Small-Vote Sample Selection for Label-Noise Learning. ECML/PKDD (3) (2021)
Chen Wang, Runqing Chen, Yang Lu, Yan Yan, Hanzi Wang
Recurrent Context Aggregation Network for Single Image Dehazing. IEEE Signal Process. Lett. 28 (2021)
Yukang Zhang, Yan Yan, Yang Lu, Hanzi Wang
Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification. ACM Multimedia (2021)
Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang
Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering. IEEE Trans. Cybern. 51 (3) (2021)
Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang
Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Haihui Ye, Qiang Qi, Ying Wang, Yang Lu, Hanzi Wang
Global and local feature alignment for video object detection. MMAsia (2020)
Lina Yang, Hailong Sun, Cheng Zhong, Zuqiang Meng, Huiwu Luo, Xichun Li, Yuan Yan Tang, Yang Lu
Hyperspectral image classification using wavelet transform-based smooth ordering. Int. J. Wavelets Multiresolution Inf. Process. 17 (6) (2019)
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. CoRR (2019)
Bin Zou, Chen Xu, Yang Lu, Yuan Yan Tang, Jie Xu, Xinge You
k-Times Markov Sampling for SVMC. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift. IJCAI (2017)
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
Hybrid Sampling with Bagging for Class Imbalance Learning. PAKDD (1) (2016)
Yuan Yan Tang, Yang Lu, Haoliang Yuan
Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform. IEEE Trans. Geosci. Remote. Sens. 53 (5) (2015)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang
The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. 45 (6) (2015)
Jie Xu, Yang Lu, Bin Zou
Learning performance of DAGSVM algorithm based on Markov sampling. ICMLC (2015)
Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo
A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (2) (2015)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks 53 (2014)
Yulong Wang, Yuan Yan Tang, Lina Yang, Haoliang Yuan, Huiwu Luo, Yang Lu
Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields. SMC (2014)
Yang Lu, Lina Yang, Haoliang Yuan, Yulong Wang, Huiwu Luo, Yuan Yan Tang
A novel method for protein structure retrieval using tableau representation and sparse coding. SMC (2014)
Haoliang Yuan, Huiwu Luo, Lina Yang, Yang Lu, Yulong Wang, Yuan Yan Tang
Feature extraction based on kernel sparse representation for hyperspectral image classification. SMC (2014)
Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Trans. Cybern. 44 (9) (2014)
Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo
Hyperspectral Image Classification Based on Regularized Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (6) (2014)
Haoliang Yuan, Yuan Yan Tang, Yang Lu, Lina Yang, Huiwu Luo
Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (6) (2014)
Lina Yang, Yuan Yan Tang, Yang Lu, Huiwu Luo, Yulong Wang, Haoliang Yuan
Protein sequence analysis based on fractal-wavelet scheme. SMC (2014)
Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang
Spectral-spatial linear discriminant analysis for hyperspectral image classification. CYBCONF (2013)
Haoliang Yuan, Yang Lu, Lina Yang, Huiwu Luo, Yuan Yan Tang
Sparse representation using contextual information for hyperspectral image classification. CYBCONF (2013)
Yuan Yan Tang, Haoliang Yuan, Yang Lu, Patrick Shen-Pei Wang
Graph-based Sparse Representation for Hyperspectral Image Classification. MLDM Posters (2013)