| 2026 | AAAI | Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency. | Zihan Li, Wei Sun, Jing Hu, Jianhua Yin, Xing Wang, Erwei Yin, Jianlong Wu |
| 2026 | SIGIR | StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval. | Shaokun Wang, Weili Guan, Jizhou Han, Jianlong Wu, Yupeng Hu, Liqiang Nie |
| 2025 | ACL | HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models. | Xiao Wang, Jingyun Hua, Weihong Lin, Yuanxing Zhang, Fuzheng Zhang, Jianlong Wu, Di Zhang, Liqiang Nie |
| 2025 | ACL | AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding. | Xiao Wang, Qingyi Si, Shiyu Zhu, Jianlong Wu, Li Cao, Liqiang Nie |
| 2025 | CVPR | DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. | Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie |
| 2025 | ICASSP | LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition. | Bowen Hao, Dongliang Zhou, Xiaojie Li, Xingyu Zhang, Liang Xie, Jianlong Wu, Erwei Yin |
| 2025 | IROS | AffordGrasp: In-Context Affordance Reasoning for Open-Vocabulary Task-Oriented Grasping in Clutter. | Yingbo Tang, Shuaike Zhang, Xiaoshuai Hao, Pengwei Wang, Jianlong Wu, Zhongyuan Wang, Shanghang Zhang |
| 2024 | ECCV | GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. | Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang |
| 2023 | ACL | Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition. | Haozhe Yang, Xianqiang Gao, Jianlong Wu, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie |
| 2023 | CVPR | CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. | Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, 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 | 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 | CVPR | High Quality Segmentation for Ultra High-resolution Images. | Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia |
| 2022 | ECCV | HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors. | Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu |
| 2021 | ICCV | Graph Contrastive Clustering. | Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua |
| 2021 | SIGIR | Dynamic Modality Interaction Modeling for Image-Text Retrieval. | Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie |
| 2020 | AAAI | Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. | Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha |
| 2020 | AAAI | SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. | Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin |
| 2020 | AAAI | Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. | Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin |
| 2020 | ECCV | Local Correlation Consistency for Knowledge Distillation. | Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian |
| 2020 | ICML | Maximum-and-Concatenation Networks. | Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin |
| 2020 | SIGIR | Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. | Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie |
| 2019 | ICCV | Expectation-Maximization Attention Networks for Semantic Segmentation. | Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu |
| 2019 | ICCV | Deep Comprehensive Correlation Mining for Image Clustering. | Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha |
| 2019 | ICML | Differentiable Linearized ADMM. | Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin |
| 2019 | MICCAI | R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. | Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin |
| 2018 | CIKM | Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2018 | ECCV | Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. | Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha |
| 2017 | SIGIR | Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2016 | ICMI | Multi-view common space learning for emotion recognition in the wild. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |
| 2015 | ICMI | Multiple Models Fusion for Emotion Recognition in the Wild. | Jianlong Wu, Zhouchen Lin, Hongbin Zha |