Jianlong Wu

According to our database, Jianlong Wu authored at least 61 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Detecting and Grounding Multi-Modal Media Manipulation and Beyond.

Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., August, 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 Trans. Pattern Anal. Mach. Intell., May, 2024

SNP-S³: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks.

Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu

IEEE Trans. Circuits Syst. Video Technol., April, 2024

TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework.

Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie

IEEE Trans. Neural Networks Learn. Syst., January, 2024

The co-evolution mechanism of policy mixes and innovation ecosystems: a case study of the new energy vehicle industry in China.

Jianlong Wu, Mengmeng Bao, Zhongji Yang, Jin Chen

Int. J. Technol. Manag., 2024

Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding.

Xiao Wang, Jianlong Wu, Zijia Lin, Fuzheng Zhang, Di Zhang, Liqiang Nie

CoRR, 2024

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture.

Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie

CoRR, 2024

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning.

Xiaojie Li, Yibo Yang, Jianlong Wu, Bernard Ghanem, Liqiang Nie, Min Zhang

CoRR, 2024

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models.

Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem

CoRR, 2024

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

CoRR, 2024

WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More.

Yuxuan Yue, Zhihang Yuan, Haojie Duanmu, Sifan Zhou, Jianlong Wu, Liqiang Nie

CoRR, 2024

SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks.

Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu

CoRR, 2024

Differential-Perceptive and Retrieval-Augmented MLLM for Change Captioning.

Xian Zhang, Haokun Wen, Jianlong Wu, Pengda Qin, Hui Xue', Liqiang Nie

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Multi-Granularity Interaction and Integration Network for Video Question Answering.

Yuanyuan Wang, Meng Liu, Jianlong Wu, Liqiang Nie

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Guest Editorial Introduction to the Special Issue on Video Transformers.

Liqiang Nie, Jianlong Wu, Nicu Sebe, Kiyoharu Aizawa

IEEE Trans. Circuits Syst. Video Technol., September, 2023

DualGNN: Dual Graph Neural Network for Multimedia Recommendation.

Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie

IEEE Trans. Multim., 2023

Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning.

Shaokun Wang, Tian Gan, Yuan Liu, Jianlong Wu, Yuan Cheng, Liqiang Nie

IEEE Trans. Multim., 2023

Self-Supervised Correlation Learning for Cross-Modal Retrieval.

Yaxin Liu, Jianlong Wu, Leigang Qu, Tian Gan, Jianhua Yin, Liqiang Nie

IEEE Trans. Multim., 2023

Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition.

Jianlong Wu, Wei Sun, Tian Gan, Ning Ding, Feijun Jiang, Jialie Shen, Liqiang Nie

IEEE Trans. Image Process., 2023

Semantic-Aware Modular Capsule Routing for Visual Question Answering.

Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie

IEEE Trans. Image Process., 2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants.

Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao, Bernard Ghanem

CoRR, 2023

Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval.

Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie

CoRR, 2023

OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification.

Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning.

Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mask Again: Masked Knowledge Distillation for Masked Video Modeling.

Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Temporal Sentence Grounding in Streaming Videos.

Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning.

Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Discover Micro-Influencers for Brands via Better Understanding.

Shaokun Wang, Tian Gan, Yuan Liu, Li Zhang, Jianlong Wu, Liqiang Nie

IEEE Trans. Multim., 2022

Special issue on cross-modal retrieval and analysis.

Jianlong Wu, Richang Hong, Qi Tian

Int. J. Multim. Inf. Retr., 2022

Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem.

Yudong Han, Liqiang Nie, Jianhua Yin, Jianlong Wu, Yan Yan

CoRR, 2022

Distributed Multi-Attention Generative Adversarial Network for Surrounding Vehicles Trajectories Prediction Based On Comprehensive Social Repulsion.

Jianlong Wu, Weiwei Zhang, Minghui Wu, Guohua Cui, Xiaolan Wang, Jun Gong

IEEE Access, 2022

Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation.

Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Ingredient-enriched Recipe Generation from Cooking Videos.

Jianlong Wu, Liangming Pan, Jingjing Chen, Yu-Gang Jiang

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors.

Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

High Quality Segmentation for Ultra High-resolution Images.

Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation.

Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Reconstruction regularized low-rank subspace learning for cross-modal retrieval.

Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha

Pattern Recognit., 2021

Dynamic Modality Interaction Modeling for Image-Text Retrieval.

Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Graph Contrastive Clustering.

Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme.

Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space.

Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-modal Cooking Workflow Construction for Food Recipes.

Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Maximum-and-Concatenation Networks.

Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin

Proceedings of the 37th International Conference on Machine Learning, 2020

Local Correlation Consistency for Knowledge Distillation.

Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families.

Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation.

Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering.

Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Essential Tensor Learning for Multi-View Spectral Clustering.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

IEEE Trans. Image Process., 2019

Matrix recovery with implicitly low-rank data.

Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang

Neurocomputing, 2019

R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal.

Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Differentiable Linearized ADMM.

Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin

Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Comprehensive Correlation Mining for Image Clustering.

Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Expectation-Maximization Attention Networks for Semantic Segmentation.

Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Semi-Markov Based Maintenance Decision for Production System.

Jianlong Wu, Boping Xiao, Liying Yang, Zhonghao Zhao

Proceedings of the 3rd International Conference on System Reliability and Safety, 2018

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining.

Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha

Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition.

Jianlong Wu, Zhouchen Lin, Wenming Zheng, Hongbin Zha

Neurocomputing, 2017

Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Multi-view common space learning for emotion recognition in the wild.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

2015

Multiple Models Fusion for Emotion Recognition in the Wild.

Jianlong Wu, Zhouchen Lin, Hongbin Zha

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015