Jian-Huang Lai

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 150

Top Venues

CoRR

Neurocomputing

Pattern Recognit.

IEEE Trans. Knowl. Data Eng.

Publications

Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Jintang Bian, Xiaohua Xie, Jian-Huang Lai, Feiping Nie
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement. Inf. Fusion 108 (2024)
Yanzuo Lu, Meng Shen, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. AAAI (2024)
Zixuan Chen, Lingxiao Yang, Jian-Huang Lai, Xiaohua Xie
CoCPF: Coordinate-based Continuous Projection Field for Ill-Posed Inverse Problem in Imaging. CoRR (2024)
Zhe-Rui Yang, Zhen-Yu He, Chang-Dong Wang, Jian-Huang Lai, Zhihong Tian
Collaborative Meta-Path Modeling for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai
Refining Graph Structure for Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Xiao-Kai Cao, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Hongxu Chen, Quan Zhang, Jian-Huang Lai, Xiaohua Xie
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning. AAAI (2024)
Yanzuo Lu, Manlin Zhang, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis. CoRR (2024)
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Deep image clustering with contrastive learning and multi-scale graph convolutional networks. Pattern Recognit. 146 (2024)
Zixuan Chen, Ruijie Su, Jiahao Zhu, Lingxiao Yang, Jian-Huang Lai, Xiaohua Xie
VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation. CoRR (2024)
Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. IEEE Trans. Big Data 10 (1) (2024)
Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Zixuan Chen, Lingxiao Yang, Jian-Huang Lai, Xiaohua Xie
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution. ICCV (2023)
Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie, Lingxiao Yang
Spike Count Maximization for Neuromorphic Vision Recognition. IJCAI (2023)
Yanzuo Lu, Meng Shen, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. CoRR (2023)
Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. WSDM (2023)
Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
Multiparty Secure Broad Learning System for Privacy Preserving. IEEE Trans. Cybern. 53 (10) (2023)
Haixin Zhou, Biaohua Ye, Jian-Huang Lai
Learning-Without-Forgetting via Memory Index in Incremental Object Detection. PRCV (8) (2023)
Jianxiong Tang, Jian-Huang Lai, Xiaohua Xie, Lingxiao Yang, Wei-Shi Zheng
AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN training. Pattern Recognit. 144 (2023)
Yun Chen, Lingxiao Yang, Qi Chen, Jian-Huang Lai, Xiaohua Xie
Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion. INTERSPEECH (2023)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. KDD (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. CoRR (2023)
Yun Chen, Lingxiao Yang, Qi Chen, Jian-Huang Lai, Xiaohua Xie
Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion. CoRR (2023)
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Xiaoxin Liao, Jingyi Yuan, Zemin Cai, Jian-Huang Lai
An attention-based bidirectional GRU network for temporal action proposals generation. J. Supercomput. 79 (8) (2023)
Xiaoxin Liao, Zemin Cai, Jun Chen, Tianshu Liu, Jian-Huang Lai
Physics-based optical flow estimation under varying illumination conditions. Signal Process. Image Commun. 117 (2023)
Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. ICDM (2023)
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering. CoRR (2023)
Mansheng Chen, Chang-Dong Wang, Jian-Huang Lai
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai
Egocentric Action Recognition by Automatic Relation Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. KDD (2023)
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. CoRR (2023)
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Strongly augmented contrastive clustering. Pattern Recognit. 139 (2023)
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
SR: Global Graph Guided Session-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Adaptively-weighted Integral Space for Fast Multiview Clustering. ACM Multimedia (2022)
Yuanku Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. CoRR (2022)
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Vision Transformer for Contrastive Clustering. CoRR (2022)
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. 52 (6) (2022)
Erna Chen, Zemin Cai, Jian-Huang Lai
Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection. PRCV (2) (2022)
Quan Zhang, Kaiheng Dang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie
Modeling 3D Layout For Group Re-Identification. CVPR (2022)
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Multi-View Consensus Proximity Learning for Clustering. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
Efficient Orthogonal Multi-view Subspace Clustering. KDD (2022)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. IEEE Trans. Cybern. 52 (11) (2022)
Quan Zhang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie
Uncertainty Modeling with Second-Order Transformer for Group Re-identification. AAAI (2022)
Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
Multi-party Secure Broad Learning System for Privacy Preserving. CoRR (2022)
Zebin Chen, Guangguang Yang, Jun Chen, Xiaohua Xie, Jian-Huang Lai
Learning Contextual Embedding Deep Networks for Accurate and Efficient Image Deraining. PRCV (4) (2022)
Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai
Deep Rating and Review Neural Network for Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Kuoyu Deng, Zhan-Xiang Feng, Jian-Huang Lai
Learning Adaptive Progressive Representation for Group Re-identification. PRCV (1) (2022)
Jianxiong Tang, Jian-Huang Lai, Wei-Shi Zheng, Lingxiao Yang, Xiaohua Xie
Relaxation LIF: A gradient-based spiking neuron for direct training deep spiking neural networks. Neurocomputing 501 (2022)
Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai
A BP Neural Network Based Recommender Framework With Attention Mechanism. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
SR: Global Graph Guided Session-based Recommendation. CoRR (2022)
Mansheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Representation Learning in Multi-view Clustering: A Literature Review. Data Sci. Eng. 7 (3) (2022)
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks. CoRR (2022)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity. CoRR (2022)
Jingke Meng, Wei-Shi Zheng, Jian-Huang Lai, Liang Wang
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. IEEE Trans. Ind. Informatics 18 (3) (2022)
Mansheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. PRCV (2) (2022)
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
Strongly Augmented Contrastive Clustering. CoRR (2022)
Mansheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Adaptively-weighted Integral Space for Fast Multiview Clustering. CoRR (2022)
Jian-Fang Hu, Jiangxin Sun, Zihang Lin, Jian-Huang Lai, Wenjun Zeng, Wei-Shi Zheng
APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Jian-Sheng Wu, Meng-Xiao Song, Weidong Min, Jian-Huang Lai, Wei-Shi Zheng
Joint adaptive manifold and embedding learning for unsupervised feature selection. Pattern Recognit. 112 (2021)
Chang-Dong Wang, Mansheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (11) (2021)
Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. CoRR (2021)
Xiao-Han Chen, Jian-Huang Lai
Salient points driven pedestrian group retrieval with fine-grained representation. Neurocomputing 423 (2021)
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen
Attributed Network Embedding with Micro-Meso Structure. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Zihang Lin, Jiangxin Sun, Jianfang Hu, Qi-Zhi Yu, Jian-Huang Lai, Wei-Shi Zheng
Predictive Feature Learning for Future Segmentation Prediction. ICCV (2021)
Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68 (2021)
Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai
Adaptive Interaction Modeling via Graph Operations Search. CoRR (2020)
Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu
Sequence Generation with Mixed Representations. ICML (2020)
Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai
Adaptive Interaction Modeling via Graph Operations Search. CVPR (2020)
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang
Community Detection by Motif-Aware Label Propagation. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. CVPR (2020)
Ling-An Zeng, Fa-Ting Hong, Wei-Shi Zheng, Qi-Zhi Yu, Wei Zeng, Yao-Wei Wang, Jian-Huang Lai
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos. ACM Multimedia (2020)
Ling-An Zeng, Fa-Ting Hong, Wei-Shi Zheng, Qi-Zhi Yu, Wei Zeng, Yao-Wei Wang, Jian-Huang Lai
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos. CoRR (2020)
Huajun Zhou, Xiaohua Xie, Jian-Huang Lai, Zixuan Chen, Lingxiao Yang
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection. CVPR (2020)
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
Ultra-Scalable Spectral Clustering and Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai
Brain network analysis for auditory disease: A twofold study. Neurocomputing 347 (2019)
Xiao-Han Chen, Jian-Huang Lai
Detecting abnormal crowd behaviors based on the div-curl characteristics of flow fields. Pattern Recognit. 88 (2019)
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
PartNRL: Partial Nodes Representation Learning in Large-Scale Network. IEEE Access 7 (2019)
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR (2019)
Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai
Distilled Camera-Aware Self Training for Semi-Supervised Person Re-Identification. IEEE Access 7 (2019)
Ancong Wu, Wei-Shi Zheng, Xiaowei Guo, Jian-Huang Lai
Distilled Person Re-Identification: Towards a More Scalable System. CVPR (2019)
Chang-Dong Wang, Zhi-Hong Deng, Jian-Huang Lai, Philip S. Yu
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering. IEEE Trans. Cybern. 49 (7) (2019)
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
Unsupervised Person Re-identification by Soft Multilabel Learning. CoRR (2019)
Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Community detection using multilayer edge mixture model. Knowl. Inf. Syst. 60 (2) (2019)
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System. Cogn. Syst. Res. 55 (2019)
Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. IEEE Access 7 (2019)
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
Constrained Matrix Factorization for Course Score Prediction. ICDM (2019)
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. KDD (2019)
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. AAAI (2019)
Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
Unsupervised Person Re-Identification by Soft Multilabel Learning. CVPR (2019)
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. CoRR (2019)
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. CoRR (2019)
Jiaxing Chen, Qize Yang, Jingke Meng, Wei-Shi Zheng, Jian-Huang Lai
Contour-Guided Person Re-identification. PRCV (3) (2019)
Xionghui Wang, Jianfang Hu, Jian-Huang Lai, Jianguo Zhang, Wei-Shi Zheng
Progressive Teacher-Student Learning for Early Action Prediction. CVPR (2019)
Ancong Wu, Wei-Shi Zheng, Jian-Huang Lai
Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning. ICCV (2019)
Xiao-Han Chen, Jian-Huang Lai
Salient Points Driven Pedestrian Group Retrieval. ICIG (1) (2019)

Jian-Huang Lai.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jian-Huang Lai