Service-oriented integration of industrial simulation codes. - Lei Wu 002; Xiangxu Meng; Shijun Liu; Yuchang Jiao; Min Wei; Lei Meng 001 (CSCWD, 2007)

Semi-supervised hierarchical clustering for personalized web image organization. - Lei Meng 001; Ah-Hwee Tan (IJCNN, 2012)

Vigilance adaptation in adaptive resonance theory. - Lei Meng 001; Ah-Hwee Tan; Donald C. Wunsch (IJCNN, 2013)

Community Discovery in Social Networks via Heterogeneous Link Association and Fusion. - Lei Meng 001; Ah-Hwee Tan (SDM, 2014)

Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-Clustering. - Lei Meng 001; Ah-Hwee Tan; Dong Xu 001 (IEEE Trans. Knowl. Data Eng., 2014)

Clustering and heterogeneous information fusion for social media theme discovery and associative mining - Lei Meng 001 (2014)

Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections. - Lei Meng 001; Ah-Hwee Tan; Cyril Leung; Liqiang Nie; Tat-Seng Chua; Chunyan Miao (ICMR, 2015)

An Interactive Graphical Interface for Retrieving Multi-attribute Data: A Case Study on Historical Relics Retrieval in 3D Digital Museum. - Xiyu Bao; Xiaowen Sun; Yulong Bian; Hao Liu; Chenglei Yang; Shijun Liu; Lei Meng 001 (IIKI, 2016)

Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering. - Lei Meng 001; Ah-Hwee Tan; Donald C. Wunsch (IEEE Trans. Neural Networks Learn. Syst., 2016)

Novel Functional Technologies for Age-Friendly E-commerce. - Xiaohai Tian; Lei Meng 001; Siyuan Liu 003; Zhiqi Shen 001; Eng Siong Chng; Cyril Leung; Frank Guan; Chunyan Miao (HCI (28), 2017)

Towards Age-friendly E-commerce Through Crowd-Improved Speech Recognition, Multimodal Search, and Personalized Speech Feedback. - Lei Meng 001; Nguyen Quy Hy; Xiaohai Tian; Zhiqi Shen 001; Eng Siong Chng; Frank Yunqing Guan; Chunyan Miao; Cyril Leung (ICCSE, 2017)

Towards online and personalized daily activity recognition, habit modeling, and anomaly detection for the solitary elderly through unobtrusive sensing. - Lei Meng 001; Chunyan Miao; Cyril Leung (Multim. Tools Appl., 2017)

Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. - Liqiang Nie; Luming Zhang; Lei Meng 001; Xuemeng Song; Xiaojun Chang; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Usability Analysis of the Novel Functions to Assist the Senior Customers in Online Shopping. - Xinjia Yu; Lei Meng 001; Xiaohai Tian; Simon Fauvel; Bo Huang; Yunqing Guan 001; Zhiqi Shen 001; Chunyan Miao; Cyril Leung (HCI (13), 2018)

Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework. - Yingjie Xia; Luming Zhang; Lei Meng 001; Yan Yan 002; Liqiang Nie; Xuelong Li 001 (IEEE Trans. Cybern., 2018)

Learning Using Privileged Information for Food Recognition. - Lei Meng 001; Long Chen 016; Xun Yang 001; Dacheng Tao; Hanwang Zhang; Chunyan Miao; Tat-Seng Chua (ACM Multimedia, 2019)

Salience-aware adaptive resonance theory for large-scale sparse data clustering. - Lei Meng 001; Ah-Hwee Tan; Chunyan Miao (Neural Networks, 2019)

Self-organizing neural networks for universal learning and multimodal memory encoding. - Ah-Hwee Tan; Budhitama Subagdja; Di Wang 004; Lei Meng 001 (Neural Networks, 2019)

Adaptive Resonance Theory in Social Media Data Clustering - Roles, Methodologies, and Applications - Lei Meng 001; Ah-Hwee Tan; Donald C. Wunsch II (Springer, 2019)

Multi-Source Domain Adaptation for Visual Sentiment Classification. - Chuang Lin 003; Sicheng Zhao; Lei Meng 001; Tat-Seng Chua (AAAI, 2020)

Multitask Adversarial Learning for Chinese Font Style Transfer. - Lei Wu 002; Xi Chen; Lei Meng 001; Xiangxu Meng (IJCNN, 2020)

Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation. - Lei Meng 001; Fuli Feng; Xiangnan He 001; Xiaoyan Gao; Tat-Seng Chua (ACM Multimedia, 2020)

MLFont: Few-Shot Chinese Font Generation via Deep Meta-Learning. - Xu Chen 031; Lei Wu 002; Minggang He; Lei Meng 001; Xiangxu Meng (ICMR, 2021)

Comparative Study of Adversarial Training Methods for Long-tailed Classification. - Xiangxian Li; Haokai Ma; Lei Meng 001; Xiangxu Meng (AdvM @ ACM Multimedia, 2021)

Comparative Study of Adversarial Training Methods for Cold-Start Recommendation. - Haokai Ma; Xiangxian Li; Lei Meng 001; Xiangxu Meng (AdvM @ ACM Multimedia, 2021)

LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition. - Wenya Guo; Ying Zhang 015; Xiangrui Cai; Lei Meng 001; Jufeng Yang; Xiaojie Yuan (IEEE Trans. Multim., 2021)

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation. - Jinxing Liu; Junjin Xiao; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

Clustering-based Curriculum Construction for Sample-Balanced Federated Learning. - Zhuang Qi; Yuqing Wang; Zitan Chen; Ran Wang; Xiangxu Meng; Lei Meng 001 (CICAI (3), 2022)

Sequential Fusion of Multi-view Video Frames for 3D Scene Generation. - Weilin Sun; Xiangxian Li; Manyi Li; Yuqing Wang; Yuze Zheng; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification. - Yuqing Wang; Xiangxian Li; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management. - Hang Wu; Xi Chen; Xuelong Li 003; Haokai Ma; Yuze Zheng; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (CICAI (3), 2022)

Meta-Causal Feature Learning for Out-of-Distribution Generalization. - Yuqing Wang; Xiangxian Li; Zhuang Qi; Jingyu Li; Xuelong Li 003; Xiangxu Meng; Lei Meng 001 (ECCV Workshops (6), 2022)

DSE-Net: Artistic Font Image Synthesis via Disentangled Style Encoding. - Xiang Li; Lei Wu 002; Xu Chen 031; Lei Meng 001; Xiangxu Meng (ICME, 2022)

A Visually-Aware Food Analysis System for Diet Management. - Hang Wu; Xi Chen; Xuelong Li 003; Haokai Ma; Yuze Zheng; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (ICME Workshops, 2022)

Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis. - Pei Dong; Lei Wu 002; Lei Meng 001; Xiangxu Meng (ICMR, 2022)

Unsupervised Contrastive Masking for Visual Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Lei Meng 001; Xiangxu Meng (ICMR, 2022)

HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks. - Pei Dong; Lei Wu 002; Lei Meng 001; Xiangxu Meng (Inf. Sci., 2022)

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (ICIG (4), 2023)

Learning to Fuse Residual and Conditional Information for Video Compression and Reconstruction. - Ran Wang; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (ICIG (4), 2023)

Cross-Training with Prototypical Distillation for improving the generalization of Federated Learning. - Tianhan Liu; Zhuang Qi; Zitan Chen; Xiangxu Meng; Lei Meng 001 (ICME, 2023)

Letter Embedding Guidance Diffusion Model for Scene Text Editing. - Changshuo Wang 003; Lei Wu 002; Xu Chen 031; Xiang Li; Lei Meng 001; Xiangxu Meng (ICME, 2023)

Compositional Zero-Shot Artistic Font Synthesis. - Xiang Li; Lei Wu 002; Changshuo Wang 003; Lei Meng 001; Xiangxu Meng (IJCAI, 2023)

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. - Haokai Ma; Zhuang Qi; Xinxin Dong; Xiangxian Li; Yuze Zheng; Xiangxu Meng; Lei Meng 001 (IJCNN, 2023)

Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification. - Yuqing Wang; Zhuang Qi; Xiangxian Li; Jinxing Liu; Xiangxu Meng; Lei Meng 001 (IJCNN, 2023)

Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning. - Zitan Chen; Zhuang Qi; Xiao Cao; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (ACM Multimedia, 2023)

Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data. - Zhuang Qi; Lei Meng 001; Zitan Chen; Han Hu 003; Hui Lin; Xiangxu Meng (ACM Multimedia, 2023)

Class-aware Convolution and Attentive Aggregation for Image Classification. - Zitan Chen; Zhuang Qi; Xiangxian Li; Yuqing Wang; Lei Meng 001; Xiangxu Meng (MMAsia, 2023)

Exploring False Hard Negative Sample in Cross-Domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (RecSys, 2023)

Anything to Glyph: Artistic Font Synthesis via Text-to-Image Diffusion Model. - Changshuo Wang 003; Lei Wu 002; Xiaole Liu; Xiang Li; Lei Meng 001; Xiangxu Meng (SIGGRAPH Asia, 2023)

Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning. - Zitan Chen; Zhuang Qi; Xiao Cao; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (CoRR, 2023)

Improving the Generalization of Visual Classification Models Across IoT Cameras via Cross-Modal Inference and Fusion. - Qing-Ling Guan; Yuze Zheng; Lei Meng 001; Liquan Dong; Qun Hao (IEEE Internet Things J., 2023)

Plug-In Diffusion Model for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Zhanhui Kang (AAAI, 2024)

Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment. - Yuze Zheng; Zixuan Li; Xiangxian Li; Jinxing Liu; Yuqing Wang; Xiangxu Meng; Lei Meng 001 (ICANN (6), 2024)

Text-to-Image Generation with Multiscale Semantic Context-Aware Generative Adversarial Networks. - Pei Dong; Lei Wu 002; Lei Meng 001; Xiangxu Meng (ICIC (12), 2024)

Attentive Modeling and Distillation for Out-of-Distribution Generalization of Federated Learning. - Zhuang Qi; Weihao He; Xiangxu Meng; Lei Meng 001 (ICME, 2024)

LayoutDM: Precision Multi-Scale Diffusion for Layout-to-Image. - Mingzhe Yu; Lei Wu 002; Changshuo Wang 003; Lei Meng 001; Xiangxu Meng (ICME, 2024)

SeeDRec: Sememe-based Diffusion for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Yimeng Yang; Xingwu Sun; Zhanhui Kang (IJCAI, 2024)

Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. - Mingzhe Yu; Yunshan Ma; Lei Wu 002; Kai Cheng; Xue Li 010; Lei Meng 001; Tat-Seng Chua (ICMR, 2024)

InstantAS: Minimum Coverage Sampling for Arbitrary-Size Image Generation. - Changshuo Wang 003; Mingzhe Yu; Lei Wu 002; Lei Meng 001; Xiang Li; Xiangxu Meng (ACM Multimedia, 2024)

Modeling Event-level Causal Representation for Video Classification. - Yuqing Wang; Lei Meng 001; Haokai Ma; Yuqing Wang; Haibei Huang; Xiangxu Meng (ACM Multimedia, 2024)

DreamFont3D: Personalized Text-to-3D Artistic Font Generation. - Xiang Li; Lei Meng 001; Lei Wu 002; Manyi Li; Xiangxu Meng (SIGGRAPH (Conference Paper Track), 2024)

Multimodal Conditioned Diffusion Model for Recommendation. - Haokai Ma; Yimeng Yang; Lei Meng 001; Ruobing Xie; Xiangxu Meng (WWW (Companion Volume), 2024)

Sequential selection and calibration of video frames for 3D outdoor scene reconstruction. - Weilin Sun; Manyi Li; Peng Li; Xiao Cao; Xiangxu Meng; Lei Meng 001 (CAAI Trans. Intell. Technol., 2024)

Causal inference for out-of-distribution recognition via sample balancing. - Yuqing Wang; Xiangxian Li; Yannan Liu; Xiao Cao; Xiangxu Meng; Lei Meng 001 (CAAI Trans. Intell. Technol., 2024)

Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On. - Mingzhe Yu; Yunshan Ma; Lei Wu 002; Kai Cheng; Xue Li 010; Lei Meng 001; Tat-Seng Chua (CoRR, 2024)

Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning. - Zhuang Qi; Lei Meng 001; Weihao He; Ruohan Zhang; Yu Wang; Xin Qi; Xiangxu Meng (CoRR, 2024)

Negative Sampling in Recommendation: A Survey and Future Directions. - Haokai Ma; Ruobing Xie; Lei Meng 001; Fuli Feng; Xiaoyu Du 002; Xingwu Sun; Zhanhui Kang; Xiangxu Meng (CoRR, 2024)

Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling. - Shuo Xu; Haokai Ma; Yunshan Ma; Xiaohao Liu; Lei Meng 001; Xiangxu Meng; Tat-Seng Chua (CoRR, 2024)

Font transformer for few-shot font generation. - Xu Chen 031; Lei Wu 002; Yongliang Su; Lei Meng 001; Xiangxu Meng (Comput. Vis. Image Underst., 2024)

Text to image synthesis with multi-granularity feature aware enhancement Generative Adversarial Networks. - Pei Dong; Lei Wu 002; Ruichen Li; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Image Underst., 2024)

Triple Sequence Learning for Cross-domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (ACM Trans. Inf. Syst., 2024)

Cross-modal learning using privileged information for long-tailed image classification. - Xiangxian Li; Yuze Zheng; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Media, 2024)

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification. - Lei Meng 001; Xiangxian Li; Xiaoshuo Yan; Haokai Ma; Zhuang Qi; Wei Wu; Xiangxu Meng (AAAI, 2025)

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data. - Zhuang Qi; Lei Meng 001; Zhaochuan Li; Han Hu 003; Xiangxu Meng (AAAI, 2025)

Hierarchically-Structured Open-Vocabulary Indoor Scene Synthesis with Pre-trained Large Language Model. - Weilin Sun; Xinran Li; Manyi Li; Kai Xu; Xiangxu Meng; Lei Meng 001 (AAAI, 2025)

Curriculum Conditioned Diffusion for Multimodal Recommendation. - Yimeng Yang; Haokai Ma; Lei Meng 001; Shuo Xu; Ruobing Xie; Xiangxu Meng (AAAI, 2025)

FashionDPO: Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. - Mingzhe Yu; Yunshan Ma; Lei Wu 002; Changshuo Wang 003; Xue Li 010; Lei Meng 001 (SIGIR, 2025)

A dual scheduling framework for task and resource allocation in clouds using deep reinforcement learning. - Jiahui Pan; Yi Wei; Lei Meng 001; Xiangxu Meng (J. King Saud Univ. Comput. Inf. Sci., 2025)

Improving Global Generalization and Local Personalization for Federated Learning. - Lei Meng 001; Zhuang Qi; Lei Wu 002; Xiaoyu Du 002; Zhaochuan Li; Lizhen Cui; Xiangxu Meng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Global Intervention and Distillation for Federated Out-of-Distribution Generalization. - Zhuang Qi; Runhui Zhang; Lei Meng 001; Wei Wu; Yachong Zhang; Xiangxu Meng (CoRR, 2025)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training. - Haokai Ma; Yunshan Ma; Ruobing Xie; Lei Meng 001; Jialie Shen 001; Xingwu Sun; Zhanhui Kang; Tat-Seng Chua (CoRR, 2025)

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization. - Mingzhe Yu; Yunshan Ma; Lei Wu 002; Changshuo Wang 003; Xue Li 010; Lei Meng 001 (CoRR, 2025)

LLM-Enabled Style and Content Regularization for Personalized Text-to-Image Generation. - Anran Yu; Wei Feng; Yaochen Zhang; Xiang Li; Lei Meng 001; Lei Wu 002; Xiangxu Meng (CoRR, 2025)

Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory. - Xiaozheng Qu; Zhaochuan Li; Zhuang Qi; Xiang Li; Haibei Huang; Lei Meng 001; Xiangxu Meng (CoRR, 2025)

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization. - Zhuang Qi; Sijin Zhou; Lei Meng 001; Han Hu 003; Han Yu 001; Xiangxu Meng (CoRR, 2025)

Semantic-Space-Intervened Diffusive Alignment for Visual Classification. - Zixuan Li; Lei Meng 001; Guoqing Chao; Wei Wu; Xiaoshuo Yan; Yimeng Yang; Zhuang Qi; Xiangxu Meng (CoRR, 2025)

Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification. - Xiaoshuo Yan; Zhaochuan Li; Lei Meng 001; Zhuang Qi; Wei Wu; Zixuan Li; Xiangxu Meng (CoRR, 2025)

ProtoConNet: Prototypical Augmentation and Alignment for Open-Set Few-Shot Image Classification. - Kexuan Shi; Zhuang Qi; Jingjing Zhu; Lei Meng 001; Yaochen Zhang; Haibei Huang; Xiangxu Meng (CoRR, 2025)

Risk identification based on similar case retrieval enhancement,. - Jiawei Li; Chengye Yang; Yaochen Zhang; Weilin Sun; Lei Meng 001; Xiangxu Meng (CoRR, 2025)