- Advanced Multimodal Compatibility Modeling and Recommendation.
Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie. Synthesis Lectures on Information Concepts, Springer Nature, 2025.
- TR-Adapter: Parameter-Efficient Transfer Learning for Video Question Answering.
Yuanyuan Wang, Meng Liu, Xuemeng Song, Liqiang Nie. IEEE TMM, 2025.
- Interactive Garment Recommendation with User in the Loop.
Federico Becattini, Xiaolin Chen, Andrea Puccia, Haokun Wen, Xuemeng Song, Liqiang Nie, Alberto Del Bimbo. ACM ToMM, 2025.
- Domain-aware Multimodal Dialog Systems with Distribution-based User Characteristic Modeling.
Xiaolin Chen, Xuemeng Song, Jianhui Zuo, Yinwei Wei, Liqiang Nie, Tat-Seng Chua. ACM ToMM, 2025.
- Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification.
Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan. In AAAI, 2025.
- Prompt-based and weak-modality enhanced multimodal recommendation.
Xue Dong, Xuemeng Song, Minghui Tian, Linmei Hu. Inf. Fusion, 2024.
- Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection.
Linmei Hu, Ziwang Zhao, Weijian Qi, Xuemeng Song, Liqiang Nie. Inf. Fusion, 2024.
- Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval.
Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie. IEEE TPAMI, 2024
- Query-Oriented Micro-Video Summarization.
Mengzhao Jia, Yinwei Wei, Xuemeng Song, Teng Sun, Min Zhang, Liqiang Nie. IEEE TPAMI, 2024
- Audio-Semantic Enhanced Pose-Driven Talking Head Generation.
Meng Liu, Da Li, Yongqiang Li, Xuemeng Song, Liqiang Nie. IEEE TCSVT, 2024
- Muti-Modal Emotion Recognition via Hierarchical Knowledge Distillation.
Teng Sun, Yinwei Wei, Juntong Ni, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie. IEEE TMM, 2024
- Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie.
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework. IEEE TNNLS, 2024
- Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain.
Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie. ACM TOIS, 2024
- Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model.
Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie. ACM TOIS, 2024
- Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching.
Haitao Shi, Meng Liu, Xiaoxuan Mu, Xuemeng Song, Yupeng Hu, Liqiang Nie. ACM TOIS, 2024
- Universal Relocalizer for Weakly Supervised Referring Expression Grounding.
Panpan Zhang, Meng Liu, Xuemeng Song, Da Cao, Zan Gao, Liqiang Nie. ACM ToMM, 2024
- Harnessing Representative Spatial-Temporal Information for Video Question Answering.
Yuanyuan Wang, Meng Liu, Xuemeng Song, Liqiang Nie. ACM ToMM, 2024
- Similarity-Induced Weighted Consensus Laplacian Matrix Learning for Multiview Clustering.
Hui Liu, Xiao Yu, Yuxiu Lin, Xuemeng Song, Liqiang Nie. IEEE Trans. Syst. Man Cybern. Syst, 2024
- Exploiting the Social-Like Prior in Transformer for Visual Reasoning.
Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie. In AAAI, 2024
- VK-G2T: Vision and Context Knowledge Enhanced Gloss2text.
Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie. In ICASSP, 2024
- Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering.
Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie. In ICML, 2024
- Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval.
Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua. In SIGIR, 2024
- Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval.
Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie. In SIGIR, 2024
- Egocentric Early Action Prediction via Multimodal Transformer-Based Dual Action Prediction.
Weili Guan, Xuemeng Song, Kejie Wang, Haokun Wen, Hongda Ni, Yaowei Wang, Xiaojun Chang. IEEE TCSVT, 2023.
- Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection.
Dan Shi, Lei Zhu, Xiao Dong, Xuemeng Song, Jingjing Li, Zhiyong Cheng. ACM TKDD, 2023.
- ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity.
Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao. IEEE TKDE, 2023.
- MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation.
Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie. IEEE TKDE, 2023.
- Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets.
Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng, Liqiang Nie. IEEE TKDE, 2023.
- DualGNN: Dual Graph Neural Network for Multimedia Recommendation.
Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie. IEEE TMM, 2023.
- Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling.
Xuemeng Song, Shi-Ting Fang, Xiaolin Chen, Yinwei Wei, Zhongzhou Zhao, Liqiang Nie. IEEE TMM, 2023.
- DualGNN: Dual Graph Neural Network for Multimedia Recommendation.
Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie. IEEE TMM, 2023.
- Dual Preference Distribution Learning for Item Recommendation.
Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao. ACM TOIS, 2023.
- DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation.
Xianjing Han, Xuemeng Song, Xingning Dong, Yinwei Wei, Meng Liu, Liqiang Nie. IEEE TMM, 2023.
- Egocentric Early Action Prediction via Adversarial Knowledge Distillation.
Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie. ACM ToMM, 2023.
- Egocentric Early Action Prediction via Adversarial Knowledge Distillation.
Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie. ACM ToMM, 2023.
- Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection.
Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie. In AAAI, 2023.
- Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation.
Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie. In ACL, 2023.
- Target-Guided Composed Image Retrieval.
Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie. In ACM MM, 2023.
- Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization.
Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie. In SIGIR, 2023.
- Dual Semantic Knowledge Composed Multimodal Dialog Systems.
Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua. In SIGIR, 2023.
- OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification.
Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie. In SIGIR, 2023.
- Graph Learning for Fashion Compatibility Modeling.
Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie. Synthesis Lectures on Information Concepts, Retrieval, and Services. Springer Nature, 2022.
- Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.
Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang. ACM TOMM, 2022.
- Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis.
Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie. In ACM MM, 2022. (Full Paper).
- Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation.
Weili Guan, Xuemeng Song, Haoyu Zhang, Meng Liu, Chung-Hsing Yeh, Xiaojun Chang. In ACM MM, 2022. (Full Paper).
- Divide-and-Conquer Predictor for Unbiased Scene Graph Generation
Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie. IEEE TCSVT, 2022.
- DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation
Xianjing Han, Xuemeng Song, Xingning Dong, Yinwei Wei, Meng Liu, Liqiang Nie. IEEE TMM, 2022.
- V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation.
Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie. In ACM SIGIR, 2022. (Full Paper). Code
- Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning.
Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh and Xiaojun Chang. In ACM SIGIR, 2022. (Full Paper)
- Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation.
Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie. In CVPR, 2022.
- MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning.
Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie. In ACL, 2022.
- Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions.
Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie. ACM TOMM, 2022.
- Modality-Oriented Graph Learning Toward Outft
Compatibility Modeling.
Xuemeng Song, Shiting Fang, Xiaolin Chen, Yinwei Wei, Zhongzhou Zhao, Liqiang Nie. TMM, 2021. Pdf Code
- Collocation and Try-on Network: Whether an outfit is compatible.
Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie. In ACM MM, 2021. (Full Paper) Pdf
- Complementary Factorization towards Outfit Compatibility Modeling.
Tianyu Su, Xuemeng Song, Na Zheng, Weili Guan, Yan Li, Liqiang Nie. In ACM MM, 2021. (Full Paper) Pdf
- Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations.
Weili Guan, Haokun Wen, Xuemeng Song, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie. In ACM MM, 2021. (Full Paper) Pdf
- Comprehensive Linguistic-Visual Composition Network for Image Retrieval.
Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie. In SIGIR, 2021. (Full Paper) Pdf Code
- Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage.
Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie. In SIGIR, 2021. (Full Paper) Pdf
- Multimodal Activation: Awakening Dialog Robots without Wake Words.
Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, and Jian Gu. In SIGIR, 2021. (Full Paper) Pdf
- Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning.
Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, Liqiang Nie. ACM Trans. Inf. Syst. 38(4): 37:1-37:26, 2020. Pdf
- Auxiliary Template-Enhanced Generative Compatibility Modeling.
Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma. In IJCAI, 2020. (Full Paper) Pdf
- MGCM: Multi-modal generative compatibility modeling for clothing matching.
Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma. Neurocomputing 414: 215-224, 2020. Pdf
- Multi-modal Try-on-guided Fashion Compatibility Modelin.
Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie. In SIGIR, 2020. (Full Paper) Pdf
- Generative Attribute Manipulation Scheme for Flexible Fashion Search.
Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie. In SIGIR, 2020. (Full Paper) Pdf
- Large-Scale Question Tagging via Joint Question-Topic Embedding Learning.
Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang. ACM Trans. Inf. Syst. 38(2): 20:1-20:23, 2020. Pdf
- Compatibility Modeling: Data and Knowledge Applications for Clothing Matching.
Xuemeng Song, Liqiang Nie, Yinglong Wang. Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool Publishers.
2019. Link
- Multimodal Learning toward Micro-Video Understanding.
Liqiang Nie, Meng Liu, Xuemeng Song. Synthesis Lectures on Image, Video, and Multimedia Processing. Morgan & Claypool Publishers.
2019. Link
- An End-to-End Attention-Based Neural Model for Complementary Clothing Matching.
Jinhuan Liu, Xuemeng Song, Liqiang Nie, Tian Gan, Jun Ma. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),
2019. Pdf
- Neural Compatibility Modeling with Probabilistic Knowledge Distillation.
Xianjing Han, Xuemeng Song, Yiyang Yao, Xin-Shun Xu, Liqiang Nie.
IEEE Transactions on Image Processing (TIP), 2019. Pdf
- GP-BPR: Personalized Compatibility Modeling for Clothing Matching.
Xuemeng Song, Xianjing Han, Yunkai Li, Jingyuan Chen, Xin-Shun Xu, Liqiang Nie.
In MM, 2019. (Full Paper) Pdf Code
Dataset: We have released the dataset IQON3000 and features Features to facilitate the research community.
- Personalized Capsule Wardrobe Creation with Garment and User Modeling.
Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie. In MM, 2019. (Full Paper) Pdf Code
- Virtually Trying on New Clothing with Arbitrary Poses.
Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie.
In MM, 2019. (Full Paper) Pdf Code
- Seeking Micro-influencers for Brand Promotion.
Tian Gan, Shaokun Wang, Meng Liu, Xuemeng Song, Yiyang Yao, Liqiang Nie.
In MM, 2019. (Full Paper)
- Efficient Discrete Latent Semantic Hashing for Scalable Cross-modal Retrieval.
Xu Lu, Lei Zhu, Zhiyong Cheng, Xuemeng Song, Huaxiang Zhang.
Signal Processing, 2019.
- Neural Fashion Experts: I Know How to Make the Complementary Clothing Matching.
Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma. Neurocomputing, 2019. Pdf
- Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching.
Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie. In SIGIR, 2019. (Full paper) Pdf Code
-
Supervised Hierarchical Cross-Modal Hashing.
Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie. In SIGIR, 2019. (Full paper) Pdf
-
User Attention-guided Multimodal Dialog Systems.
Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie. In SIGIR, 2019. (Full paper) Pdf
-
Neural Compatibility Modeling with Attentive Knowledge
Distillation.
Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Liqiang Nie, Wei Liu. In SIGIR, 2018. (Full paper) Pdf Code
-
A Personal Privacy Preserving Framework: I Let You Know
Who Can See What.
Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu. In SIGIR, 2018. (Full paper) Pdf
-
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection.
Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng. In IJCAI, 2018. (Full paper) Pdf
-
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing.
Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu. In IJCAI, 2018. (Full paper) Pdf
-
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction.
Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli. In IJCAI, 2018. (Full paper) Pdf
-
Scalable Graph Based Non-negative Multi-view Embedding for Image Ranking.
Shuhan Qi, Xuan Wang, Xi Zhang, Xuemeng Song, Zoe L. Jiang. Neurocomputing, 274: 29-36, 2018. Pdf
-
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs.
Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua. In MMM, 2018. (Full paper) Pdf
-
Video Logo Removal Detection Based on Sparse Representation.
Xiao Jin, Yuting Su, Liang Zou, Chengqian Zhang, Peiguang Jing, Xuemeng Song. Multimedia Tools and Applications, 2018.
-
NeuroStylist: Neural Compatibility Modeling for Clothing Matching.
Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma. In MM, 2017. (Full paper) Pdf Code
Dataset: We have released the dataset FashionVC to facilitate the research community.
-
Unifying virtual and physical worlds: Learning toward local and global consistency.
Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua. ACM Transactions on Information Systems (TOIS), 2017. Pdf
- Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.
Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li. IEEE Transactions on Neural Network Learning System (TNNLS), 2017. Pdf
-
Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model.
Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua. In MM, 2016. (Full paper) Pdf
-
Learning from Multiple Social Networks.
Liqiang Nie, Xuemeng Song, Tat-Seng Chua. Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool Publishers, 2016. Link
-
Volunteerism Tendency Prediction via Harvesting Multiple Social Networks.
Xuemeng Song, Zhao-Yan Ming, Liqiang Nie, Yi-Liang Zhao, Tat-Seng Chua. ACM Transactions on Information Systems (TOIS), 2016. Pdf
-
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction.
Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum. In AAAI, 2016. (Full paper) Pdf
-
Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning.
Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua. In IJCAI, 2015. (Full paper) Pdf
-
Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction.
Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat-Seng Chua. In SIGIR, 2015. (Full paper) Pdf
-
Enrichment of User Profiles Across Multiple Online Social Networks for Volunteerism Matching for Social Enterprise. Xuemeng Song. In SIGIR, 2014. Pdf
|