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Jianlong Wu
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2020 – today
- 2024
- [j19]Jianlong Wu, Mengmeng Bao, Zhongji Yang, Jin Chen:
The co-evolution mechanism of policy mixes and innovation ecosystems: a case study of the new energy vehicle industry in China. Int. J. Technol. Manag. 94(2): 242-270 (2024) - [j18]Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie:
Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3665-3678 (2024) - [j17]Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5556-5574 (2024) - [j16]Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu:
SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2525-2535 (2024) - [j15]Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie:
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework. IEEE Trans. Neural Networks Learn. Syst. 35(1): 246-257 (2024) - [i29]Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu:
SNP-S3: Shared Network Pre-training and Significant Semantic Strengthening for Various Video-Text Tasks. CoRR abs/2401.17773 (2024) - [i28]Yuxuan Yue, Zhihang Yuan, Haojie Duanmu, Sifan Zhou, Jianlong Wu, Liqiang Nie:
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More. CoRR abs/2402.12065 (2024) - [i27]Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang:
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. CoRR abs/2403.12003 (2024) - [i26]Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem:
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models. CoRR abs/2406.05223 (2024) - [i25]Xiaojie Li, Yibo Yang, Jianlong Wu, Bernard Ghanem, Liqiang Nie, Min Zhang:
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning. CoRR abs/2407.06136 (2024) - [i24]Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie:
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. CoRR abs/2409.03550 (2024) - [i23]Xiao Wang, Jianlong Wu, Zijia Lin, Fuzheng Zhang, Di Zhang, Liqiang Nie:
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding. CoRR abs/2409.19532 (2024) - 2023
- [j14]Liqiang Nie, Jianlong Wu, Nicu Sebe, Kiyoharu Aizawa:
Guest Editorial Introduction to the Special Issue on Video Transformers. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4448-4451 (2023) - [j13]Yuanyuan Wang, Meng Liu, Jianlong Wu, Liqiang Nie:
Multi-Granularity Interaction and Integration Network for Video Question Answering. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7684-7695 (2023) - [j12]Jianlong Wu, Wei Sun, Tian Gan, Ning Ding, Feijun Jiang, Jialie Shen, Liqiang Nie:
Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition. IEEE Trans. Image Process. 32: 2215-2227 (2023) - [j11]Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie:
Semantic-Aware Modular Capsule Routing for Visual Question Answering. IEEE Trans. Image Process. 32: 5537-5549 (2023) - [j10]Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie:
DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25: 1074-1084 (2023) - [j9]Shaokun Wang, Tian Gan, Yuan Liu, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning. IEEE Trans. Multim. 25: 2749-2760 (2023) - [j8]Yaxin Liu, Jianlong Wu, Leigang Qu, Tian Gan, Jianhua Yin, Liqiang Nie:
Self-Supervised Correlation Learning for Cross-Modal Retrieval. IEEE Trans. Multim. 25: 2851-2863 (2023) - [c31]Haozhe Yang, Xianqiang Gao, Jianlong Wu, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie:
Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition. ACL (Findings) 2023: 6267-6281 - [c30]Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie:
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. CVPR 2023: 15762-15772 - [c29]Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang:
Mask Again: Masked Knowledge Distillation for Masked Video Modeling. ACM Multimedia 2023: 2221-2232 - [c28]Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang:
Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. ACM Multimedia 2023: 2264-2274 - [c27]Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie:
Temporal Sentence Grounding in Streaming Videos. ACM Multimedia 2023: 4637-4646 - [c26]Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. SIGIR 2023: 3410-3414 - [i22]Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie:
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. CoRR abs/2303.08318 (2023) - [i21]Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. CoRR abs/2304.12608 (2023) - [i20]Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie:
Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval. CoRR abs/2305.09979 (2023) - [i19]Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip H. S. Torr, Dacheng Tao, Bernard Ghanem:
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants. CoRR abs/2308.01746 (2023) - [i18]Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie:
Temporal Sentence Grounding in Streaming Videos. CoRR abs/2308.07102 (2023) - [i17]Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu:
Detecting and Grounding Multi-Modal Media Manipulation and Beyond. CoRR abs/2309.14203 (2023) - 2022
- [j7]Jianlong Wu, Weiwei Zhang, Minghui Wu, Guohua Cui, Xiaolan Wang, Jun Gong:
Distributed Multi-Attention Generative Adversarial Network for Surrounding Vehicles Trajectories Prediction Based On Comprehensive Social Repulsion. IEEE Access 10: 125254-125263 (2022) - [j6]Jianlong Wu, Richang Hong, Qi Tian:
Special issue on cross-modal retrieval and analysis. Int. J. Multim. Inf. Retr. 11(4): 523-524 (2022) - [j5]Shaokun Wang, Tian Gan, Yuan Liu, Li Zhang, Jianlong Wu, Liqiang Nie:
Discover Micro-Influencers for Brands via Better Understanding. IEEE Trans. Multim. 24: 2595-2605 (2022) - [c25]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CVPR 2022: 1300-1309 - [c24]Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CVPR 2022: 19405-19414 - [c23]Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu:
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors. ECCV (9) 2022: 314-331 - [c22]Jianlong Wu, Liangming Pan, Jingjing Chen, Yu-Gang Jiang:
Ingredient-enriched Recipe Generation from Cooking Videos. ICMR 2022: 249-257 - [c21]Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie:
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. ACM Multimedia 2022: 4478-4486 - [i16]Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CoRR abs/2203.09811 (2022) - [i15]Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu:
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors. CoRR abs/2207.05345 (2022) - [i14]Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie:
Semantic-aware Modular Capsule Routing for Visual Question Answering. CoRR abs/2207.10404 (2022) - [i13]Yudong Han, Liqiang Nie, Jianhua Yin, Jianlong Wu, Yan Yan:
Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem. CoRR abs/2207.11850 (2022) - 2021
- [j4]Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Reconstruction regularized low-rank subspace learning for cross-modal retrieval. Pattern Recognit. 113: 107813 (2021) - [c20]Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. ICCV 2021: 9204-9213 - [c19]Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie:
Dynamic Modality Interaction Modeling for Image-Text Retrieval. SIGIR 2021: 1104-1113 - [i12]Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. CoRR abs/2104.01429 (2021) - [i11]Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia:
High Quality Segmentation for Ultra High-resolution Images. CoRR abs/2111.14482 (2021) - 2020
- [c18]Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI 2020: 6388-6395 - [c17]Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin:
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. AAAI 2020: 6648-6655 - [c16]Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin:
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI 2020: 12637-12644 - [c15]Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian:
Local Correlation Consistency for Knowledge Distillation. ECCV (12) 2020: 18-33 - [c14]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. ICML 2020: 10483-10494 - [c13]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia 2020: 1132-1141 - [c12]Shangchen Du, Shan You, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang:
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space. NeurIPS 2020 - [c11]Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie:
Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. SIGIR 2020: 771-780 - [i10]Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin:
Maximum-and-Concatenation Networks. CoRR abs/2007.04630 (2020) - [i9]Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR abs/2008.09151 (2020)
2010 – 2019
- 2019
- [j3]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix recovery with implicitly low-rank data. Neurocomputing 334: 219-226 (2019) - [j2]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Essential Tensor Learning for Multi-View Spectral Clustering. IEEE Trans. Image Process. 28(12): 5910-5922 (2019) - [c10]Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha:
Deep Comprehensive Correlation Mining for Image Clustering. ICCV 2019: 8149-8158 - [c9]Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. ICCV 2019: 9166-9175 - [c8]Xingyu Xie, Jianlong Wu, Guangcan Liu, Zhisheng Zhong, Zhouchen Lin:
Differentiable Linearized ADMM. ICML 2019: 6902-6911 - [c7]Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin:
R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. MICCAI (6) 2019: 319-327 - [i8]Jianlong Wu, Keyu Long, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha:
Deep Comprehensive Correlation Mining for Image Clustering. CoRR abs/1904.06925 (2019) - [i7]Xingyu Xie, Jianlong Wu, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin:
Differentiable Linearized ADMM. CoRR abs/1905.06179 (2019) - [i6]Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu:
Expectation-Maximization Attention Networks for Semantic Segmentation. CoRR abs/1907.13426 (2019) - [i5]Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin:
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. CoRR abs/1911.07527 (2019) - [i4]Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin:
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. CoRR abs/1911.10305 (2019) - 2018
- [c6]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. CIKM 2018: 1663-1666 - [c5]Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha:
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. ECCV (7) 2018: 262-277 - [c4]Jianlong Wu, Boping Xiao, Liying Yang, Zhonghao Zhao:
Semi-Markov Based Maintenance Decision for Production System. ICSRS 2018: 340-345 - [i3]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Essential Tensor Learning for Multi-view Spectral Clustering. CoRR abs/1807.03602 (2018) - [i2]Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha:
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. CoRR abs/1807.05698 (2018) - [i1]Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang:
Matrix Recovery with Implicitly Low-Rank Data. CoRR abs/1811.03945 (2018) - 2017
- [j1]Jianlong Wu, Zhouchen Lin, Wenming Zheng, Hongbin Zha:
Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition. Neurocomputing 239: 143-152 (2017) - [c3]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Joint Latent Subspace Learning and Regression for Cross-Modal Retrieval. SIGIR 2017: 917-920 - 2016
- [c2]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Multi-view common space learning for emotion recognition in the wild. ICMI 2016: 464-471 - 2015
- [c1]Jianlong Wu, Zhouchen Lin, Hongbin Zha:
Multiple Models Fusion for Emotion Recognition in the Wild. ICMI 2015: 475-481
Coauthor Index
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last updated on 2024-10-18 19:30 CEST by the dblp team
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