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Lusi Li
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2020 – today
- 2025
- [j32]Aijuan Wang, Dun Mao, Xiangqi Li, Tiehu Li, Lusi Li:
HQNet: A hybrid quantum network for multi-class MRI brain classification via quantum computing. Expert Syst. Appl. 261: 125537 (2025) - [j31]Qian Tao, Chenghao Liu, Yuhan Xia, Yong Xu, Lusi Li:
Adaptive multi-graph contrastive learning for bundle recommendation. Neural Networks 181: 106832 (2025) - [j30]Ziyu Wang, Yiming Du, Yao Wang, Rui Ning, Lusi Li:
Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment. Neural Networks 181: 106851 (2025) - 2024
- [j29]Xin Ning, Zaiyang Yu, Lusi Li, Weijun Li, Prayag Tiwari:
DILF: Differentiable rendering-based multi-view Image-Language Fusion for zero-shot 3D shape understanding. Inf. Fusion 102: 102033 (2024) - [j28]Ziyu Wang, Lusi Li, Xin Ning, Wenkai Tan, Yongxin Liu, Houbing Song:
Incomplete multi-view clustering via structure exploration and missing-view inference. Inf. Fusion 103: 102123 (2024) - [j27]Hang Ran, Weijun Li, Lusi Li, Songsong Tian, Xin Ning, Prayag Tiwari:
Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning. Inf. Process. Manag. 61(2): 103664 (2024) - [j26]Zaiyang Yu, Prayag Tiwari, Luyang Hou, Lusi Li, Weijun Li, Limin Jiang, Xin Ning:
MV-ReID: 3D Multi-view Transformation Network for Occluded Person Re-Identification. Knowl. Based Syst. 283: 111200 (2024) - [j25]Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari:
A survey on few-shot class-incremental learning. Neural Networks 169: 307-324 (2024) - [j24]Qian Tao, Jianpeng Liao, Enze Zhang, Lusi Li:
A Dual Robust Graph Neural Network Against Graph Adversarial Attacks. Neural Networks 175: 106276 (2024) - [j23]Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li:
Deformation depth decoupling network for point cloud domain adaptation. Neural Networks 180: 106626 (2024) - [j22]Aijuan Wang, Jianglong Hu, Shiyue Zhang, Lusi Li:
Shallow hybrid quantum-classical convolutional neural network model for image classification. Quantum Inf. Process. 23(1): 17 (2024) - [j21]Shiyue Zhang, Aijuan Wang, Lusi Li:
Quantum-convolution-based hybrid neural network model for arrhythmia detection. Quantum Mach. Intell. 6(2): 75 (2024) - [c14]Lusi Li, Rui Ning, Ziyu Wang, Shuai Hao:
A Dual Transfer Framework for Cooperative Spectrum Sensing in Cognitive Radio. ICNC 2024: 1065-1070 - [i3]Leizhen Zhang, Lusi Li, Di Wu, Sheng Chen, Yi He:
Fairness-Aware Streaming Feature Selection with Causal Graphs. CoRR abs/2408.12665 (2024) - 2023
- [j20]Wai Keung Wong, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, Jie Wen:
Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering. Inf. Fusion 100: 101917 (2023) - [j19]Cheng Huang, Jinrong Cui, Yulu Fu, Dong Huang, Min Zhao, Lusi Li:
Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss. Neural Networks 163: 233-243 (2023) - [j18]Lilei Sun, Jie Wen, Chengliang Liu, Lunke Fei, Lusi Li:
Balance guided incomplete multi-view spectral clustering. Neural Networks 166: 260-272 (2023) - [j17]Qian Tao, Zhihao Xiong, Bocheng Han, Xiaoyang Fan, Lusi Li:
A Novel Unsupervised Approach for Cross-Lingual Word Alignment in Low Isomorphic Embedding Spaces. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3027-3041 (2023) - [j16]Lusi Li, Zhiqiang Wan, Haibo He:
Incomplete Multi-View Clustering With Joint Partition and Graph Learning. IEEE Trans. Knowl. Data Eng. 35(1): 589-602 (2023) - [c13]Lusi Li, Jie Li, Yi He, Laura Slayton:
A Domain Adaptation-based Detector for Cooperative Spectrum Sensing. CCNC 2023: 680-681 - [c12]Bocheng Han, Qian Tao, Lusi Li, Zhihao Xiong:
A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction. EMNLP (Findings) 2023: 10763-10775 - [c11]Wenkai Tan, Justus Renkhoff, Alvaro Velasquez, Ziyu Wang, Lusi Li, Jian Wang, Shuteng Niu, Fan Yang, Yongxin Liu, Houbing Song:
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks. FUZZ 2023: 1-8 - [c10]Lusi Li, Haibo He:
Bipartite Graph based Multi-view Clustering (Extended Abstract). ICDE 2023: 3889-3890 - [i2]Wenkai Tan, Justus Renkhoff, Alvaro Velasquez, Ziyu Wang, Lusi Li, Jian Wang, Shuteng Niu, Fan Yang, Yongxin Liu, Houbing Song:
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks. CoRR abs/2303.06151 (2023) - [i1]Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari:
A Survey on Few-Shot Class-Incremental Learning. CoRR abs/2304.08130 (2023) - 2022
- [j15]Jiachen Zhao, Lusi Li, Fang Deng, Haibo He, Jie Chen:
Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation. IEEE Trans. Cybern. 52(2): 1193-1206 (2022) - [j14]Xiaohua Gu, Yanli Zhao, Guang Yang, Lusi Li:
An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis. IEEE Trans. Ind. Informatics 18(6): 3630-3639 (2022) - [j13]Lusi Li, Haibo He:
Bipartite Graph Based Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3111-3125 (2022) - 2021
- [j12]Wenlu Zhang, Lusi Li, Vincent Cheong, Bo Fu, Mehrdad Aliasgari:
Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction. Int. J. Comput. Intell. Syst. 14(1): 1078-1086 (2021) - [j11]Lusi Li, Zhiqiang Wan, Haibo He:
Dual Alignment for Partial Domain Adaptation. IEEE Trans. Cybern. 51(7): 3404-3416 (2021) - [j10]Jie Li, Hongli He, Haibo He, Lusi Li, Yi Xiang:
An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification. IEEE Trans. Instrum. Meas. 70: 1-9 (2021) - [j9]Lusi Li, He Jiang, Haibo He:
Deep Transfer Cooperative Sensing in Cognitive Radio. IEEE Wirel. Commun. Lett. 10(6): 1354-1358 (2021) - [c9]He Jiang, Lusi Li, Zhenhua Wang, Haibo He:
Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications. IJCNN 2021: 1-7 - [c8]Lusi Li, He Jiang, Haibo He:
Graph-based Multi-view Learning for Cooperative Spectrum Sensing. IJCNN 2021: 1-7 - [c7]Lusi Li, Laura Slayton, Hepeng Li, Haibo He:
Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing. SSCI 2021: 1-7 - [c6]Hepeng Li, Zhenhua Wang, Lusi Li, Haibo He:
Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning. SSCI 2021: 1-8 - 2020
- [j8]Lusi Li, Jianqing Chen, Srinivasan Raghunathan:
Informative Role of Recommender Systems in Electronic Marketplaces: A Boon or a Bane for Competing Sellers. MIS Q. 44(4) (2020) - [j7]Lusi Li, Haibo He, Jie Li:
Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems. IEEE Trans. Knowl. Data Eng. 32(11): 2159-2170 (2020) - [c5]He Jiang, Lusi Li, Haibo He, Lingjia Liu:
Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing. ICNC 2020: 567-571 - [c4]Zhiqiang Wan, Lusi Li, Hepeng Li, Haibo He, Zhen Ni:
One-Shot Unsupervised Domain Adaptation for Object Detection. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j6]Jie Li, Haibo He, Lusi Li, Guorong Chen:
A Novel Generative Model With Bounded-GAN for Reliability Classification of Gear Safety. IEEE Trans. Ind. Electron. 66(11): 8772-8781 (2019) - [j5]Jie Li, Song Liu, Haibo He, Lusi Li:
A Novel Framework for Gear Safety Factor Prediction. IEEE Trans. Ind. Informatics 15(4): 1998-2007 (2019) - [j4]Xiaoxia Wang, Haibo He, Lusi Li:
A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System. IEEE Trans. Ind. Informatics 15(9): 5139-5148 (2019) - [j3]Jie Li, Haibo He, Lusi Li:
CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data. IEEE Trans. Instrum. Meas. 68(9): 3173-3183 (2019) - [c3]Lusi Li, He Jiang, Haibo He:
Imbalanced Learning for Cooperative Spectrum Sensing in Cognitive Radio Networks. GLOBECOM 2019: 1-6 - [c2]Lusi Li, Haibo He, Jie Li, Guang Yang:
Adversarial Domain Adaptation via Category Transfer. IJCNN 2019: 1-8 - 2018
- [j2]Lusi Li, Jianqing Chen, Srinivasan Raghunathan:
Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers. Inf. Syst. Res. 29(4): 1003-1023 (2018) - [j1]Sheng Li, Lusi Li, Jun Yan, Haibo He:
SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy. IEEE Trans. Knowl. Data Eng. 30(8): 1575-1587 (2018) - [c1]Lusi Li, Haibo He, Jie Li, Weijun Li:
EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning. IJCNN 2018: 1-8
Coauthor Index
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last updated on 2024-12-13 19:07 CET by the dblp team
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