| 2026 | AAAI | TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs. | Yunxiao Wang, Meng Liu, Wenqi Liu, Xuemeng Song, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Guorui Zhou, Liqiang Nie |
| 2026 | AAAI | D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation. | Jianhui Zuo, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Jiuru Wang, Liqiang Nie |
| 2025 | AAAI | Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification. | Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song, Weili Guan |
| 2025 | CVPR | Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning. | Na Zheng, Xuemeng Song, Xue Dong, Aashish Nikhil Ghosh, Liqiang Nie, Roger Zimmermann |
| 2025 | ICASSP | PAIR: Complementarity-guided Disentanglement for Composed Image Retrieval. | Zhiheng Fu, Zixu Li, Zhiwei Chen, Chunxiao Wang, Xuemeng Song, Yupeng Hu, Liqiang Nie |
| 2025 | ICASSP | MEDIAN: Adaptive Intermediate-grained Aggregation Network for Composed Image Retrieval. | Qinlei Huang, Zhiwei Chen, Zixu Li, Chunxiao Wang, Xuemeng Song, Yupeng Hu, Liqiang Nie |
| 2025 | IJCNN | Pseudo Triplet Guided Few-shot Composed Image Retrieval. | Bohan Hou, Haoqiang Lin, Haokun Wen, Meng Liu, Mingzhu Xu, Xuemeng Song |
| 2025 | SIGIR | FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval. | Bohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Xiangyu Zhao |
| 2024 | AAAI | Exploiting the Social-Like Prior in Transformer for Visual Reasoning. | Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie |
| 2024 | ICASSP | VK-G2T: Vision and Context Knowledge Enhanced Gloss2text. | Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie |
| 2024 | ICML | Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering. | Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie |
| 2024 | SIGIR | Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. | Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie |
| 2024 | SIGIR | 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 |
| 2023 | AAAI | Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. | Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie |
| 2023 | ACL | Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. | Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie |
| 2023 | SIGIR | Dual Semantic Knowledge Composed Multimodal Dialog Systems. | Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. | Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie |
| 2023 | SIGIR | OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. | Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie |
| 2022 | ACL | MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. | Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie |
| 2022 | CVPR | Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. | Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie |
| 2022 | SIGIR | Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. | Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang |
| 2022 | SIGIR | V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. | Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie |
| 2021 | SIGIR | Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. | Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie |
| 2021 | SIGIR | Multimodal Activation: Awakening Dialog Robots without Wake Words. | Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu |
| 2021 | SIGIR | Comprehensive Linguistic-Visual Composition Network for Image Retrieval. | Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie |
| 2020 | IJCAI | Auxiliary Template-Enhanced Generative Compatibility Modeling. | Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma |
| 2020 | SIGIR | Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. | Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie |
| 2020 | SIGIR | Generative Attribute Manipulation Scheme for Flexible Fashion Search. | Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie |
| 2019 | SIGIR | User Attention-guided Multimodal Dialog Systems. | Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie |
| 2019 | SIGIR | Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. | Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie |
| 2019 | SIGIR | Supervised Hierarchical Cross-Modal Hashing. | Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie |
| 2018 | IJCAI | A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction. | Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli |
| 2018 | IJCAI | Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. | Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng |
| 2018 | IJCAI | SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. | Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu |
| 2018 | MMM | 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 |
| 2018 | SIGIR | Neural Compatibility Modeling with Attentive Knowledge Distillation. | Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie |
| 2018 | SIGIR | 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 |
| 2016 | AAAI | Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. | Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum |
| 2015 | IJCAI | Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning. | Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua |
| 2015 | SIGIR | Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. | Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat-Seng Chua |
| 2014 | SIGIR | Enrichment of user profiles across multiple online social networks for volunteerism matching for social enterprise. | Xuemeng Song |