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

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

Adaptive Label-Aware Graph Convolutional Networks for Cross-Modal Retrieval. - Shengsheng Qian; Dizhan Xue; 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)