Publications [Google Scholar]
Journal Papers
Ziyu Wang, Lusi Li, Xin Ning, Wenkai Tan, Yongxin Liu, and Houbing Song. "Incomplete Multi-view Clustering via Structure Exploration and Missing-view Inference." Information Fusion (2024): 102123.
Xin Ning, Zaiyang Yu, Lusi Li, Weijun Li, and Prayag Tiwari. "DILF: Differentiable rendering-based multi-view Image–Language Fusion for zero-shot 3D shape understanding."Information Fusion (2024): 102033.
Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, and Prayag Tiwari. "A survey on few-shot class-incremental learning." Neural Networks (2024).
Bocheng Han, Qian Tao, Lusi Li, and Zhihao Xiong. "A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction."Findings of the Association for Computational Linguistics: EMNLP 2023.
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." Knowledge-Based Systems (2023): 111200.
Tao, Qian, Zhihao Xiong, Bocheng Han, Xiaoyang Fan, and Lusi Li. "A Novel Unsupervised Approach for Cross-lingual Word Alignment in Low Isomorphic Embedding Spaces." IEEE/ACM Transactions on Audio, Speech, and Language Processing (2023).
Sun, Lilei, Jie Wen, Chengliang Liu, Lunke Fei, and Lusi Li. "Balance guided incomplete multi-view spectral clustering." Neural Networks (2023).
Wong, Wai Keung, Chengliang Liu, Shijie Deng, Lunke Fei, Lusi Li, Yuwu Lu, and Jie Wen. "Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering." Information Fusion (2023): 101917.
Huang, Cheng, Jinrong Cui, Yulu Fu, Dong Huang, Min Zhao, and Lusi Li. "Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss." Neural Networks 163 (2023): 233-243.
Xiaohua Gu, Yanli Zhao, Guang Yang, and Lusi Li, "An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis," IEEE Transactions on Industrial Informatics (TII), 2021. DOI: 10.1109/TII.2021.3112988. [paper]
Lusi Li, Zhiqiang Wan, and Haibo He, "Incomplete Multi-view Clustering with Joint Partition and Graph Learning," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. DOI: 10.1109/TKDE.2021.3082470. [paper]
Lusi Li, He Jiang, and Haibo He, "Deep Transfer Cooperative Sensing in Cognitive Radio," IEEE Wireless Communications Letters (WCL), 2021. DOI: 10.1109/LWC.2021.3067508. [paper]
Jie Li, Haibo He, H He, Lusi Li, and Y. Xiang, "An End-to-end Framework with Multi-source Monitoring Data for Bridge Health Assessment," IEEE Transactions on Instrumentation and Measurement (TIM), vol. 70, pp. 1-9, 2021, Art no. 3500909, DOI: 10.1109/TIM.2020.3013130. [paper]
Lusi Li and Haibo He, "Bipartite Graph based Multi-view Clustering," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. DOI: 10.1109/TKDE.2020.3021649. [paper]
Jiachen Zhao, Lusi Li, Fang Deng, Haibo He, and Jie Chen , "Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation," IEEE Transactions on Cybernetics (TCYB), 2020. DOI: 10.1109/TCYB.2020.2994875. [paper]
Lusi Li, Zhiqiang Wan, and Haibo He, "Dual Alignment for Partial Domain Adaptation," IEEE Transactions on Cybernetics (TCYB), 2020. DOI: 10.1109/TCYB.2020.2983337. [paper]
Lusi Li, Haibo He, and Jie Li, "Entropy-based Sampling Approaches for Multi-class Imbalanced Problems," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. DOI: 10.1109/TKDE.2019.2913859. [paper]
Xiaoxia Wang, Haibo He, and Lusi Li, "A hierarchical deep domain adaptation approach for fault diagnosis of power plant thermal system," IEEE Transactions on Industrial Informatics (TII), vol. 15, no. 9, pp. 5139-5148, Feb. 2019. [paper]
Jie Li, Haibo He, and Lusi Li, "A Novel Generative Model With Bounded-GAN for Reliability Classification of Gear Safety," IEEE Transactions on Industrial Electronics (TIE), vol. 66, no. 11, pp. 8772-8781, Nov. 2019. [paper]
Jie Li, Haibo He, and Lusi Li, "CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data," IEEE Transactions on Instrumentation and Measurement (TIM), vol. 68, no. 9, pp. 3173-3183, Sept. 2019. [paper]
Jie Li, Song Liu, Haibo He, and Lusi Li, "A Novel Framework for Gear Safety Factor Prediction," IEEE Transactions on Industrial Informatics (TII), vol. 15, no. 4, pp. 1998-2007, Apr. 2019. [paper]
Sheng Li, Lusi Li, Jun Yan, and Haibo He, "SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy," IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 30, no. 8, pp. 1575-1587, Aug. 2018. [paper]
Conference Papers
Tan, Wenkai, Justus Renkhoff, Alvaro Velasquez, Ziyu Wang, Lusi Li, Jian Wang, Shuteng Niu, Fan Yang, Yongxin Liu, and Houbing Song. "NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks." 2023 IEEE International Conference on Fuzzy Systems (FUZZ).
Lusi Li and Haibo He, "Bipartite Graph based Multi-view Clustering (Extended Abstract)," 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 2023 (in press).
Lusi Li, Jie Li, Yi He, and Laura Slayton, "A Domain Adaptation-based Detector for Cooperative Spectrum Sensing,” 2023 IEEE Consumer Communications & Networking Conference (CCNC 2023), Las Vegas, NV, USA, January 8–11, 2023 (in press).
Lusi Li, Laura Slayton, Hepeng Li, and Haibo He, "Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing," 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021), 2021 (in press).
Hepeng Li, Zhenhua Wang, Lusi Li, and Haibo He, "Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning," 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021), 2021 (in press).
Lusi Li, He Jiang, and Haibo He, "Graph-based Multi-view Learning for Cooperative Spectrum Sensing," 2021 International Joint Conference on Neural Networks (IJCNN'21), 2021 (in press).
He Jiang, Lusi Li, Zhenhua Wang, and Haibo He, "Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications," 2021 International Joint Conference on Neural Networks (IJCNN'21), 2021 (in press).
Zhiqiang Wan, Lusi Li, Peng He, Haibo He and Zhen Ni, "One-Shot Unsupervised Domain Adaptation for Object Detection," 2020 International Joint Conference on Neural Networks (IJCNN'20), Jan. 2020. [paper]
He Jiang, Lusi Li, Haibo He and Lingjia Liu, "Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing," 2020 International conference on computing, networking and communications (ICNC'20), Big Island, Hawaii, February 17-20, 2020. [paper]
Lusi Li, He Jiang, and Haibo He, "Imbalanced Learning for Cooperative Spectrum Sensing in Cognitive Radio Networks," 2019 IEEE Global Communications Conference (GLOBECOM'19) , Waikoloa, Hawaii, December 9-13, 2019. [paper]
Lusi Li, Haibo He, Jie Li, and Guang Yang, "Adversarial Domain Adaptation via Category Transfer," 2019 International Joint Conference on Neural Networks (IJCNN'19), Budapest, Hungary, July 14-19, 2019. [paper]
Lusi Li, Haibo He, Jie Li and Weijun Li, "EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning," 2018 International Joint Conference on Neural Networks (IJCNN'18), Rio de Janeiro, Brazil, July 8-13, 2018. [paper]