Multi-cue Based Multi-target Tracking with Boosted MHT. - Long Ying; Tianzhu Zhang 001; Shengsheng Qian; Changsheng Xu (PCM, 2013)

Multi-Modal Supervised Latent Dirichlet Allocation for Event Classification in Social Media. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu (ICIMCS, 2014)

Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu (ICPR, 2014)

Social Event Classification via Boosted Multimodal Supervised Latent Dirichlet Allocation. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu; M. Shamim Hossain (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Cross-Domain Collaborative Learning in Social Multimedia. - Shengsheng Qian; Tianzhu Zhang 001; Richang Hong; Changsheng Xu (ACM Multimedia, 2015)

Multi-modal Multi-view Topic-opinion Mining for Social Event Analysis. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu (ACM Multimedia, 2016)

Multi-Modal Event Topic Model for Social Event Analysis. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu; Jie Shao (IEEE Trans. Multim., 2016)

A Generic Framework for Social Event Analysis. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu (ICMR, 2017)

Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions. - Yukun Zuo; Quan Fang; Shengsheng Qian; Xiaorui Zhang; Changsheng Xu (BigMM, 2018)

Attentive Interactive Convolutional Matching for Community Question Answering in Social Multimedia. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (ACM Multimedia, 2018)

CSAN: Contextual Self-Attention Network for User Sequential Recommendation. - Xiaowen Huang 001; Shengsheng Qian; Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2018)

Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering. - Huaiwen Zhang; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2018)

Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu (IEEE Trans. Multim., 2018)

Online Multimodal Multiexpert Learning for Social Event Tracking. - Shengsheng Qian; Tianzhu Zhang 001; Changsheng Xu (IEEE Trans. Multim., 2018)

Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (ACM Multimedia, 2019)

Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation. - Xiaowen Huang 001; Quan Fang; Shengsheng Qian; Jitao Sang; Yan Li 068; Changsheng Xu (ACM Multimedia, 2019)

Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection. - Huaiwen Zhang; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2019)

Multi-modal Knowledge-aware Hierarchical Attention Network for Explainable Medical Question Answering. - Yingying Zhang; Shengsheng Qian; Quan Fang; Changsheng Xu (ACM Multimedia, 2019)

AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding. - Lei Sang 001; Min Xu 001; Shengsheng Qian; Xindong Wu 001 (PAKDD (3), 2019)

Multi-modal multi-view Bayesian semantic embedding for community question answering. - Lei Sang 001; Min Xu 001; Shengsheng Qian; Xindong Wu 001 (Neurocomputing, 2019)

Multi-modal max-margin supervised topic model for social event analysis. - Feng Xue 002; Jianwei Wang; Shengsheng Qian; Tianzhu Zhang 001; Xueliang Liu; Changsheng Xu (Multim. Tools Appl., 2019)

A2CMHNE: Attention-Aware Collaborative Multimodal Heterogeneous Network Embedding. - Jun Hu 016; Shengsheng Qian; Quan Fang; Xueliang Liu; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2019)

GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion. - Yanfei Han; Quan Fang; Jun Hu 016; Shengsheng Qian; Changsheng Xu (CIKM, 2020)

Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks. - Youze Wang; Shengsheng Qian; Jun Hu 016; Quan Fang; Changsheng Xu (ICMR, 2020)

Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching. - Jun Hu 016; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2020)

Multi-modal Multi-relational Feature Aggregation Network for Medical Knowledge Representation Learning. - Yingying Zhang; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2020)

Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval. - Song Liu; Shengsheng Qian; Yang Guan; Jiawei Zhan; Long Ying (SIGIR, 2020)

Multimodal graph convolutional networks for high quality content recognition. - Jinguang Wang; Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (Neurocomputing, 2020)

Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation. - Yingying Zhang; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Trans. Intell. Syst. Technol., 2020)

Knowledge-Based Topic Model for Multi-Modal Social Event Analysis. - Feng Xue 002; Richang Hong; Xiangnan He 001; Jianwei Wang; Shengsheng Qian; Changsheng Xu (IEEE Trans. Multim., 2020)

Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network. - Xiaowen Huang 001; Shengsheng Qian; Quan Fang; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Image to Modern Chinese Poetry Creation via a Constrained Topic-aware Model. - Lingxiang Wu; Min Xu 001; Shengsheng Qian; Jianwei Cui 002 (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. - Shengsheng Qian; Dizhan Xue; Huaiwen Zhang; Quan Fang; Changsheng Xu (AAAI, 2021)

HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval. - Song Liu; Haoqi Fan 003; Shengsheng Qian; Yiru Chen; Wenkui Ding; Zhongyuan Wang 006 (ICCV, 2021)

Global Relation-Aware Attention Network for Image-Text Retrieval. - Jie Cao 002; Shengsheng Qian; Huaiwen Zhang; Quan Fang; Changsheng Xu (ICMR, 2021)

Efficient Graph Deep Learning in TensorFlow with tf_geometric. - Jun Hu 016; Shengsheng Qian; Quan Fang; Youze Wang; Quan Zhao; Huaiwen Zhang; Changsheng Xu (ACM Multimedia, 2021)

Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. - Shengsheng Qian; Jinguang Wang; Jun Hu 016; Quan Fang; Changsheng Xu (SIGIR, 2021)

Multi-Level Multi-Modal Cross-Attention Network for Fake News Detection. - Long Ying; Hui Yu; Jinguang Wang; Yongze Ji; Shengsheng Qian (IEEE Access, 2021)

Fake News Detection via Multi-Modal Topic Memory Network. - Long Ying; Hui Yu; Jinguang Wang; Yongze Ji; Shengsheng Qian (IEEE Access, 2021)

GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation. - Desheng Cai; Jun Hu 016; Shengsheng Qian; Quan Fang; Quan Zhao; Changsheng Xu (CoRR, 2021)

Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (CoRR, 2021)

Knowledge graph enhanced neural collaborative recommendation. - Lei Sang 001; Min Xu 001; Shengsheng Qian; Xindong Wu 001 (Expert Syst. Appl., 2021)

Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network. - Lei Sang 001; Min Xu 001; Shengsheng Qian; Xindong Wu 001 (Neurocomputing, 2021)

HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation. - Chaofan Chen; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2021)

Heterogeneous Community Question Answering via Social-Aware Multi-Modal Co-Attention Convolutional Matching. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2021)

Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks. - Lei Sang 001; Min Xu 001; Shengsheng Qian; Matt Martin; Peter Li; Xindong Wu 001 (IEEE Trans. Multim., 2021)

Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection. - Huaiwen Zhang; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2021)

Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection. - Shengsheng Qian; Jun Hu 016; Quan Fang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Adaptive Anti-Bottleneck Multi-Modal Graph Learning Network for Personalized Micro-video Recommendation. - Desheng Cai; Shengsheng Qian; Quan Fang; Jun Hu 016; Changsheng Xu (ACM Multimedia, 2022)

Adaptive Transformer-Based Conditioned Variational Autoencoder for Incomplete Social Event Classification. - Zhangming Li 002; Shengsheng Qian; Jie Cao 002; Quan Fang; Changsheng Xu (ACM Multimedia, 2022)

MMT: Image-guided Story Ending Generation with Multimodal Memory Transformer. - Dizhan Xue; Shengsheng Qian; Quan Fang; Changsheng Xu (ACM Multimedia, 2022)

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. - Jun Hu 016; Shengsheng Qian; Quan Fang; Changsheng Xu (CoRR, 2022)

TCKGE: Transformers with contrastive learning for knowledge graph embedding. - Xiaowei Zhang; Quan Fang; Jun Hu 016; Shengsheng Qian; Changsheng Xu (Int. J. Multim. Inf. Retr., 2022)

Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation. - Desheng Cai; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2022)

Adaptive Label-Aware Graph Convolutional Networks for Cross-Modal Retrieval. - Shengsheng Qian; Dizhan Xue; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2022)

Multi-Modal Meta Multi-Task Learning for Social Media Rumor Detection. - Huaiwen Zhang; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2022)

TOAC: Try-On Aligning Conformer for Image-Based Virtual Try-On Alignment. - Yifei Wang; Wang Xiang; Shengjie Zhang; Dizhan Xue; Shengsheng Qian (CICAI (2), 2023)

Variational Causal Inference Network for Explanatory Visual Question Answering. - Dizhan Xue; Shengsheng Qian; Changsheng Xu (ICCV, 2023)

ATCBERT: Few-shot Intent Recognition for Air Traffic Control Instruction Understanding. - Yi Hui; Kaiquan Cai; Minghua Zhang; Shengsheng Qian; Yang Yang 122 (ITSC, 2023)

Transformer based Multi-modal Memory-augmented Masked Network for Air Crisis Event Detection. - Yang Yang 122; Yishan Zhang; Shengsheng Qian; Minghua Zhang; Kaiquan Cai (ITSC, 2023)

C2MR: Continual Cross-Modal Retrieval for Streaming Multi-modal Data. - Huaiwen Zhang; Yang Yang 121; Fan Qi; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2023)

Open-World Social Event Classification. - Shengsheng Qian; Hong Chen; Dizhan Xue; Quan Fang; Changsheng Xu (WWW, 2023)

A Survey on Interpretable Cross-modal Reasoning. - Dizhan Xue; Shengsheng Qian; Zuyi Zhou; Changsheng Xu (CoRR, 2023)

Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking. - Shengsheng Qian; Yifei Wang; Dizhan Xue; Shengjie Zhang; Huaiwen Zhang; Changsheng Xu (CoRR, 2023)

Heterogeneous Graph Contrastive Learning Network for Personalized Micro-Video Recommendation. - Desheng Cai; Shengsheng Qian; Quan Fang; Jun Hu 016; Wenkui Ding; Changsheng Xu (IEEE Trans. Multim., 2023)

Multimodal Graph Contrastive Learning for Multimedia-Based Recommendation. - Kang Liu; Feng Xue 002; Dan Guo 001; Peijie Sun; Shengsheng Qian; Richang Hong (IEEE Trans. Multim., 2023)

Robust Video-Text Retrieval Via Noisy Pair Calibration. - Huaiwen Zhang; Yang Yang 121; Fan Qi; Shengsheng Qian; Changsheng Xu (IEEE Trans. Multim., 2023)

User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network. - Desheng Cai; Shengsheng Qian; Quan Fang; Jun Hu 016; Changsheng Xu (ACM Trans. Inf. Syst., 2023)

Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation. - Yingying Zhang; Xian Wu 001; Quan Fang; Shengsheng Qian; Changsheng Xu (ACM Trans. Inf. Syst., 2023)

Integrating Multi-Label Contrastive Learning With Dual Adversarial Graph Neural Networks for Cross-Modal Retrieval. - Shengsheng Qian; Dizhan Xue; Quan Fang; Changsheng Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Debiased Video-Text Retrieval via Soft Positive Sample Calibration. - Huaiwen Zhang; Yang Yang 121; Fan Qi; Shengsheng Qian; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Adversarial Heterogeneous Graph Neural Network for Robust Recommendation. - Lei Sang 001; Min Xu 001; Shengsheng Qian; Xindong Wu 001 (IEEE Trans. Comput. Soc. Syst., 2023)

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents. - Yifei Wang; Dizhan Xue; Shengjie Zhang; Shengsheng Qian (ACL (1), 2024)

Few-Shot Multimodal Explanation for Visual Question Answering. - Dizhan Xue; Shengsheng Qian; Changsheng Xu (ACM Multimedia, 2024)

Semantic Editing Increment Benefits Zero-Shot Composed Image Retrieval. - Zhenyu Yang 009; Shengsheng Qian; Dizhan Xue; Jiahong Wu; Fan Yang 094; Weiming Dong; Changsheng Xu (ACM Multimedia, 2024)

LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval. - Zhenyu Yang 009; Dizhan Xue; Shengsheng Qian; Weiming Dong; Changsheng Xu (SIGIR, 2024)

T3RD: Test-Time Training for Rumor Detection on Social Media. - Huaiwen Zhang; Xinxin Liu; Qing Yang; Yang Yang 121; Fan Qi; Shengsheng Qian; Changsheng Xu (WWW, 2024)

From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models. - Shengsheng Qian; Zuyi Zhou; Dizhan Xue; Bing Wang; Changsheng Xu (CoRR, 2024)

Kwai-STaR: Transform LLMs into State-Transition Reasoners. - Xingyu Lu; Yuhang Hu; Changyi Liu; Tianke Zhang; Zhenyu Yang 009; Zhixiang Ding; Shengsheng Qian; Meng Du; Ruiwen Kang; Kaiyu Tang; Fan Yang 094; Tingting Gao; et al. (CoRR, 2024)

AAGNN: Adaptive Airport Graph Neural Network for flight sequence prediction. - Kaiquan Cai; Yuejingyan Wang; Yang Yang 122; Shengsheng Qian (Expert Syst. Appl., 2024)

Tri-relational multi-faceted graph neural networks for automatic question tagging. - Nuojia Xu; Jun Hu 016; Quan Fang; Dizhan Xue; Yongxi Li; Shengsheng Qian (Neurocomputing, 2024)

Nonparametric Clustering-Guided Cross-View Contrastive Learning for Partially View-Aligned Representation Learning. - Shengsheng Qian; Dizhan Xue; Jun Hu 016; Huaiwen Zhang; Changsheng Xu (IEEE Trans. Image Process., 2024)

Positive Unlabeled Fake News Detection via Multi-Modal Masked Transformer Network. - Jinguang Wang; Shengsheng Qian; Jun Hu 016; Richang Hong (IEEE Trans. Multim., 2024)

Comment-Context Dual Collaborative Masked Transformer Network for Fake News Detection. - Jinguang Wang; Shengsheng Qian; Jun Hu 016; Richang Hong (IEEE Trans. Multim., 2024)

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering. - Jun Hu 016; Bryan Hooi; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Knowl. Data Eng., 2024)

Distribution-Guided Hierarchical Calibration Contrastive Network for Unsupervised Person Re-Identification. - Yongxi Li; Wenzhong Tang; Shuai Wang 049; Shengsheng Qian; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multi-Hop Multi-View Memory Transformer for Session-Based Recommendation. - Xingrui Zhuo; Shengsheng Qian; Jun Hu 016; Fuxin Dai; Kangyi Lin; Gongqing Wu (ACM Trans. Inf. Syst., 2024)

Integrating Neural-Symbolic Reasoning With Variational Causal Inference Network for Explanatory Visual Question Answering. - Dizhan Xue; Shengsheng Qian; Changsheng Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Scenario-Guided Transformer-Enabled Multi-Modal Unknown Event Classification for Air Transport. - Yang Yang 122; Yishan Zhang; Shengsheng Qian; Kaiquan Cai (IEEE Trans. Intell. Transp. Syst., 2024)

SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding. - Zhenyu Yang 009; Yuhang Hu; Zemin Du; Dizhan Xue; Shengsheng Qian; Jiahong Wu; Fan Yang 094; Weiming Dong; Changsheng Xu (ICLR, 2025)

ATSIU: A large-scale dataset for spoken instruction understanding in air traffic control. - Minghua Zhang; Yang Yang 122; Shengsheng Qian; Qihan Deng; Jing Fang; Kaiquan Cai (Adv. Eng. Informatics, 2025)

Knowledge-augmented encoder for few-shot deep intent recognition in air traffic control. - Yi Hui; Yang Yang 122; Shengsheng Qian; Kaiquan Cai (Knowl. Based Syst., 2025)

LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question Answering. - Dizhan Xue; Shengsheng Qian; Quan Fang; Changsheng Xu (IEEE Trans. Multim., 2025)

Short-video Propagation Influence Rating: A New Real-world Dataset and A New Large Graph Model. - Dizhan Xue; Jing Cui; Shengsheng Qian; Chuanrui Hu; Changsheng Xu (CoRR, 2025)

Active Supervised Cross-Modal Retrieval. - Huaiwen Zhang; Yang Yang 121; Fan Qi; Shengsheng Qian; Changsheng Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Learning Temporal Event Knowledge for Continual Social Event Classification. - Shengsheng Qian; Shengjie Zhang; Dizhan Xue; Huaiwen Zhang; Changsheng Xu (IEEE Trans. Knowl. Data Eng., 2025)

End-to-End Explainable Fake News Detection Via Evidence-Claim Variational Causal Inference. - Jinguang Wang; Shengsheng Qian; Jun Hu 016; Wenxiang Dong; Xudong Huang; Richang Hong (ACM Trans. Inf. Syst., 2025)