EDOS: Entropy Difference-based Oversampling Approach for Imbalanced Learning. - Lusi Li; Haibo He; Jie Li 024; Weijun Li (IJCNN, 2018)

Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers. - Lusi Li; Jianqing Chen; Srinivasan Raghunathan (Inf. Syst. Res., 2018)

SDE: A Novel Clustering Framework Based on Sparsity-Density Entropy. - Sheng Li 011; Lusi Li; Jun Yan 007; Haibo He (IEEE Trans. Knowl. Data Eng., 2018)

Imbalanced Learning for Cooperative Spectrum Sensing in Cognitive Radio Networks. - Lusi Li; He Jiang 004; Haibo He (GLOBECOM, 2019)

Adversarial Domain Adaptation via Category Transfer. - Lusi Li; Haibo He; Jie Li 024; Guang Yang 005 (IJCNN, 2019)

A Novel Generative Model With Bounded-GAN for Reliability Classification of Gear Safety. - Jie Li 024; Haibo He; Lusi Li; Guorong Chen (IEEE Trans. Ind. Electron., 2019)

A Novel Framework for Gear Safety Factor Prediction. - Jie Li 024; Song Liu 006; Haibo He; Lusi Li (IEEE Trans. Ind. Informatics, 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)

CGAN-MBL for Reliability Assessment With Imbalanced Transmission Gear Data. - Jie Li 024; Haibo He; Lusi Li (IEEE Trans. Instrum. Meas., 2019)

Evolutionary Search for Energy-Efficient Distributed Cooperative Spectrum Sensing. - He Jiang 004; Lusi Li; Haibo He; Lingjia Liu 001 (ICNC, 2020)

One-Shot Unsupervised Domain Adaptation for Object Detection. - Zhiqiang Wan; Lusi Li; Hepeng Li; Haibo He; Zhen Ni (IJCNN, 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)

Entropy-based Sampling Approaches for Multi-Class Imbalanced Problems. - Lusi Li; Haibo He; Jie Li 024 (IEEE Trans. Knowl. Data Eng., 2020)

Graph Neural Network Based Interference Estimation for Device-to-Device Wireless Communications. - He Jiang 004; Lusi Li; Zhenhua Wang; Haibo He (IJCNN, 2021)

Graph-based Multi-view Learning for Cooperative Spectrum Sensing. - Lusi Li; He Jiang 004; Haibo He (IJCNN, 2021)

Multi-view Semi-Supervised Learning for Cooperative Spectrum Sensing. - Lusi Li; Laura Slayton; Hepeng Li; Haibo He (SSCI, 2021)

Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning. - Hepeng Li; Zhenhua Wang; Lusi Li; Haibo He (SSCI, 2021)

Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction. - Wenlu Zhang; Lusi Li; Vincent Cheong; Bo Fu 005; Mehrdad Aliasgari (Int. J. Comput. Intell. Syst., 2021)

Dual Alignment for Partial Domain Adaptation. - Lusi Li; Zhiqiang Wan; Haibo He (IEEE Trans. Cybern., 2021)

An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification. - Jie Li 024; Hongli He; Haibo He; Lusi Li; Yi Xiang (IEEE Trans. Instrum. Meas., 2021)

Deep Transfer Cooperative Sensing in Cognitive Radio. - Lusi Li; He Jiang 004; Haibo He (IEEE Wirel. Commun. Lett., 2021)

Discriminant Geometrical and Statistical Alignment With Density Peaks for Domain Adaptation. - Jiachen Zhao; Lusi Li; Fang Deng; Haibo He; Jie Chen 003 (IEEE Trans. Cybern., 2022)

An Imbalance Modified Convolutional Neural Network With Incremental Learning for Chemical Fault Diagnosis. - Xiaohua Gu; Yanli Zhao; Guang Yang 005; Lusi Li (IEEE Trans. Ind. Informatics, 2022)

Bipartite Graph Based Multi-View Clustering. - Lusi Li; Haibo He (IEEE Trans. Knowl. Data Eng., 2022)

A Domain Adaptation-based Detector for Cooperative Spectrum Sensing. - Lusi Li; Jie Li; Yi He 007; Laura Slayton (CCNC, 2023)

A Structure-Aware Generative Adversarial Network for Bilingual Lexicon Induction. - Bocheng Han; Qian Tao; Lusi Li; Zhihao Xiong (EMNLP (Findings), 2023)

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks. - Wenkai Tan; Justus Renkhoff; Alvaro Velasquez; Ziyu Wang; Lusi Li; Jian Wang 061; Shuteng Niu; Fan Yang; Yongxin Liu; Houbing Song (FUZZ, 2023)

Bipartite Graph based Multi-view Clustering (Extended Abstract). - Lusi Li; Haibo He (ICDE, 2023)

Incomplete multi-view clustering network via nonlinear manifold embedding and probability-induced loss. - Cheng Huang; Jinrong Cui; Yulu Fu; Dong Huang 001; Min Zhao; Lusi Li (Neural Networks, 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 With Joint Partition and Graph Learning. - Lusi Li; Zhiqiang Wan; Haibo He (IEEE Trans. Knowl. Data Eng., 2023)

Balance guided incomplete multi-view spectral clustering. - Lilei Sun; Jie Wen 001; Chengliang Liu 003; Lunke Fei; Lusi Li (Neural Networks, 2023)

Neighbor group structure preserving based consensus graph learning for incomplete multi-view clustering. - Wai Keung Wong; Chengliang Liu 003; Shijie Deng; Lunke Fei; Lusi Li; Yuwu Lu; Jie Wen 001 (Inf. Fusion, 2023)

A Dual Transfer Framework for Cooperative Spectrum Sensing in Cognitive Radio. - Lusi Li; Rui Ning; Ziyu Wang; Shuai Hao (ICNC, 2024)

Fairness-Aware Streaming Feature Selection with Causal Graphs. - Leizhen Zhang; Lusi Li; Di Wu 056; Sheng Chen 008; Yi He 007 (CoRR, 2024)

A Dual Robust Graph Neural Network Against Graph Adversarial Attacks. - Qian Tao; Jianpeng Liao; Enze Zhang; Lusi Li (Neural Networks, 2024)

Deformation depth decoupling network for point cloud domain adaptation. - Huang Zhang; Xin Ning 001; Changshuo Wang 001; Enhao Ning; Lusi Li (Neural Networks, 2024)

Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning. - Zaiyang Yu; Lusi Li; Jinlong Xie; Changshuo Wang 001; Weijun Li 002; Xin Ning 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

MV-ReID: 3D Multi-view Transformation Network for Occluded Person Re-Identification. - Zaiyang Yu; Prayag Tiwari; Luyang Hou; Lusi Li; Weijun Li 002; Limin Jiang; Xin Ning 001 (Knowl. Based Syst., 2024)

A survey on few-shot class-incremental learning. - Songsong Tian; Lusi Li; Weijun Li 002; Hang Ran; Xin Ning 001; Prayag Tiwari (Neural Networks, 2024)

Shallow hybrid quantum-classical convolutional neural network model for image classification. - Aijuan Wang; Jianglong Hu; Shiyue Zhang; Lusi Li (Quantum Inf. Process., 2024)

DILF: Differentiable rendering-based multi-view Image-Language Fusion for zero-shot 3D shape understanding. - Xin Ning 001; Zaiyang Yu; Lusi Li; Weijun Li 002; Prayag Tiwari (Inf. Fusion, 2024)

Incomplete multi-view clustering via structure exploration and missing-view inference. - Ziyu Wang; Lusi Li; Xin Ning 001; Wenkai Tan; Yongxin Liu; Houbing Song (Inf. Fusion, 2024)

Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning. - Hang Ran; Weijun Li 002; Lusi Li; Songsong Tian; Xin Ning 001; Prayag Tiwari (Inf. Process. Manag., 2024)

Quantum-convolution-based hybrid neural network model for arrhythmia detection. - Shiyue Zhang; Aijuan Wang; Lusi Li (Quantum Mach. Intell., 2024)

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)

Multidimensional fusion of frequency and spatial domain information for enhanced camouflaged object detection. - Tingran Wang; Zaiyang Yu; Jianwei Fang; Jinlong Xie; Feng Yang; Huang Zhang; Liping Zhang; Minghua Du; Lusi Li; Xin Ning 001 (Inf. Fusion, 2025)

Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems. - Xiaohua Gu; Fei Lu; Liping Yang; Kan Wang; Lusi Li; Guang Yang 005; Yiling Sun (Neural Networks, 2025)

Adaptive multi-graph contrastive learning for bundle recommendation. - Qian Tao; Chenghao Liu; Yuhan Xia; Yong Xu; Lusi Li (Neural Networks, 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)

TEC-CNN: Toward Efficient Compressing of Convolutional Neural Nets with Low-rank Tensor Decomposition. - Yifan Wang; Liang Feng 001; Fenglin Cai; Lusi Li; Rui Wu 011; Jie Li 024 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Swin-MGNet: Swin Transformer Based Multiview Grouping Network for 3-D Object Recognition. - Xin Ning 001; Limin Jiang; Weijun Li 002; Zaiyang Yu; Jinlong Xie; Lusi Li; Prayag Tiwari; Fernando Alonso-Fernandez (IEEE Trans. Artif. Intell., 2025)

Confident Local Structure-Aware Incomplete Multiview Spectral Clustering. - Wai Keung Wong; Lusi Li; Lunke Fei; Bob Zhang 001; Anne Toomey; Jie Wen 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Heterogeneous Graph Backdoor Attack. - Jiawei Chen; Lusi Li; Daniel Takabi; Masha Sosonkina; Rui Ning (CoRR, 2025)

Brain-Inspired Fast- and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning. - Hang Ran; Xingyu Gao 001; Lusi Li; Weijun Li 002; Songsong Tian; Gang Wang 023; Hailong Shi; Xin Ning 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)