Lusi Li

According to our database, Lusi Li authored at least 48 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment.

Ziyu Wang, Yiming Du, Yao Wang, Rui Ning, Lusi Li

Neural Networks, 2025

Adaptive multi-graph contrastive learning for bundle recommendation.

Qian Tao, Chenghao Liu, Yuhan Xia, Yong Xu, Lusi Li

Neural Networks, 2025

HQNet: A hybrid quantum network for multi-class MRI brain classification via quantum computing.

Aijuan Wang, Dun Mao, Xiangqi Li, Tiehu Li, Lusi Li

Expert Syst. Appl., 2025

2024

Quantum-convolution-based hybrid neural network model for arrhythmia detection.

Shiyue Zhang, Aijuan Wang, Lusi Li

Quantum Mach. Intell., December, 2024

Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning.

Hang Ran, Weijun Li, Lusi Li, Songsong Tian, Xin Ning, Prayag Tiwari

Inf. Process. Manag., March, 2024

Incomplete multi-view clustering via structure exploration and missing-view inference.

Ziyu Wang, Lusi Li, Xin Ning, Wenkai Tan, Yongxin Liu, Houbing Song

Inf. Fusion, March, 2024

DILF: Differentiable rendering-based multi-view Image-Language Fusion for zero-shot 3D shape understanding.

Xin Ning, Zaiyang Yu, Lusi Li, Weijun Li, Prayag Tiwari

Inf. Fusion, February, 2024

Shallow hybrid quantum-classical convolutional neural network model for image classification.

Aijuan Wang, Jianglong Hu, Shiyue Zhang, Lusi Li

Quantum Inf. Process., January, 2024

A survey on few-shot class-incremental learning.

Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari

Neural Networks, January, 2024

MV-ReID: 3D Multi-view Transformation Network for Occluded Person Re-Identification.

Zaiyang Yu, Prayag Tiwari, Luyang Hou, Lusi Li, Weijun Li, Limin Jiang, Xin Ning

Knowl. Based Syst., January, 2024

Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning.

Zaiyang Yu, Lusi Li, Jinlong Xie, Changshuo Wang, Weijun Li, Xin Ning

IEEE Trans. Circuits Syst. Video Technol., 2024

Deformation depth decoupling network for point cloud domain adaptation.

Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li

Neural Networks, 2024

A Dual Robust Graph Neural Network Against Graph Adversarial Attacks.

Qian Tao, Jianpeng Liao, Enze Zhang, Lusi Li

Neural Networks, 2024

Fairness-Aware Streaming Feature Selection with Causal Graphs.

Leizhen Zhang, Lusi Li, Di Wu, Sheng Chen, Yi He

CoRR, 2024

A Dual Transfer Framework for Cooperative Spectrum Sensing in Cognitive Radio.

Lusi Li, Rui Ning, Ziyu Wang, Shuai Hao

Proceedings of the International Conference on Computing, Networking and Communications, 2024

2023

Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering.

Wai Keung Wong, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen

Inf. Fusion, December, 2023

Balance guided incomplete multi-view spectral clustering.

Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li

Neural Networks, September, 2023

Incomplete Multi-View Clustering With Joint Partition and Graph Learning.

Lusi Li, Zhiqiang Wan, Haibo He

IEEE Trans. Knowl. Data Eng., 2023

A Novel Unsupervised Approach for Cross-Lingual Word Alignment in Low Isomorphic Embedding Spaces.

Qian Tao, Zhihao Xiong, Bocheng Han, Xiaoyang Fan, Lusi Li

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss.

Cheng Huang, Jinrong Cui, Yulu Fu, Dong Huang, Min Zhao, Lusi Li

Neural Networks, 2023

Bipartite Graph based Multi-view Clustering (Extended Abstract).

Lusi Li, Haibo He

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks.

Wenkai Tan, Justus Renkhoff, Alvaro Velasquez, Ziyu Wang, Lusi Li, Jian Wang, Shuteng Niu, Fan Yang, Yongxin Liu, Houbing Song

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction.

Bocheng Han, Qian Tao, Lusi Li, Zhihao Xiong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Domain Adaptation-based Detector for Cooperative Spectrum Sensing.

Lusi Li, Jie Li, Yi He, Laura Slayton

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Bipartite Graph Based Multi-View Clustering.

Lusi Li, Haibo He

IEEE Trans. Knowl. Data Eng., 2022

An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis.

Xiaohua Gu, Yanli Zhao, Guang Yang, Lusi Li

IEEE Trans. Ind. Informatics, 2022

Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation.

Jiachen Zhao, Lusi Li, Fang Deng, Haibo He, Jie Chen

IEEE Trans. Cybern., 2022

2021

Deep Transfer Cooperative Sensing in Cognitive Radio.

Lusi Li, He Jiang, Haibo He

IEEE Wirel. Commun. Lett., 2021

An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification.

Jie Li, Hongli He, Haibo He, Lusi Li, Yi Xiang

IEEE Trans. Instrum. Meas., 2021

Dual Alignment for Partial Domain Adaptation.

Lusi Li, Zhiqiang Wan, Haibo He

IEEE Trans. Cybern., 2021

Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction.

Wenlu Zhang, Lusi Li, Vincent Cheong, Bo Fu, Mehrdad Aliasgari

Int. J. Comput. Intell. Syst., 2021

Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning.

Hepeng Li, Zhenhua Wang, Lusi Li, Haibo He

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing.

Lusi Li, Laura Slayton, Hepeng Li, Haibo He

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Graph-based Multi-view Learning for Cooperative Spectrum Sensing.

Lusi Li, He Jiang, Haibo He

Proceedings of the International Joint Conference on Neural Networks, 2021

Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications.

He Jiang, Lusi Li, Zhenhua Wang, Haibo He

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems.

Lusi Li, Haibo He, Jie Li

IEEE Trans. Knowl. Data Eng., 2020

Informative Role of Recommender Systems in Electronic Marketplaces: A Boon or a Bane for Competing Sellers.

Lusi Li, Jianqing Chen, Srinivasan Raghunathan

MIS Q., 2020

One-Shot Unsupervised Domain Adaptation for Object Detection.

Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing.

He Jiang, Lusi Li, Haibo He, Lingjia Liu

Proceedings of the International Conference on Computing, Networking and Communications, 2020

2019

CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data.

Jie Li, Haibo He, Lusi Li

IEEE Trans. Instrum. Meas., 2019

A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System.

Xiaoxia Wang, Haibo He, Lusi Li

IEEE Trans. Ind. Informatics, 2019

A Novel Framework for Gear Safety Factor Prediction.

Jie Li, Song Liu, Haibo He, Lusi Li

IEEE Trans. Ind. Informatics, 2019

A Novel Generative Model With Bounded-GAN for Reliability Classification of Gear Safety.

Jie Li, Haibo He, Lusi Li, Guorong Chen

IEEE Trans. Ind. Electron., 2019

Adversarial Domain Adaptation via Category Transfer.

Lusi Li, Haibo He, Jie Li, Guang Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

Imbalanced Learning for Cooperative Spectrum Sensing in Cognitive Radio Networks.

Lusi Li, He Jiang, Haibo He

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy.

Sheng Li, Lusi Li, Jun Yan, Haibo He

IEEE Trans. Knowl. Data Eng., 2018

Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers.

Lusi Li, Jianqing Chen, Srinivasan Raghunathan

Inf. Syst. Res., 2018

EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning.

Lusi Li, Haibo He, Jie Li, Weijun Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018