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个人简介

吴建龙,哈尔滨工业大学(深圳)计算机科学与技术学院副教授,博士生导师,入选哈尔滨工业大学“青年拔尖人才计划”和“鹏城孔雀计划”特聘岗位。2014年本科毕业于华中科技大学电信提高班,2019年博士毕业于北京大学智能科学与技术专业。主要研究兴趣包括计算机视觉、机器学习和多模态信息处理等。近五年在Trans. Image Processing、ICML、NeurIPS和ICCV等顶级期刊和会议上发表论文30余篇。担任CCF A类会议NeurIPS 2023和ACM Multimedia 2023、ICPR 2022/2020领域主席、期刊TCSVT和IJMIR客座编委、以及TPAMI、IJCV、ICML和CVPR等顶级期刊和会议的审稿人。主持多项国家级和省部级项目,包括国家自然科学基金青年项目和山东省自然科学基金青年项目等。荣获CCF A类会议SIGIR 2021最佳学生论文奖和2021年山东省科学技术进步一等奖等。 Selected Awards 2022 Outstanding Young Scholar, Harbin Institute of Technology (Shenzhen) 2021 First Prize of the Shandong Provincial Science and Technology Progress Award 2021 Best Student Paper of SIGIR 2021 2020 Future Program for Young Scholars, Shandong University 2020 Top Reviewer of ICML 2020 2019 Outstanding Graduate, Peking University 2019 ICML Travel Award 2018 National Scholarship for Ph.D. Student (Top 2% in PKU) 2018 Pexpertmaker to Merit Student, Peking University 2017 Merit Student, Peking University 2016 Outstanding Academic Award, Peking University 2014 Outstanding Graduate, HUST 2014 Excellent Student Cadre, HUST

研究领域

Computer Vision, Unsupervised and Semi-supervised Learning, Multi-modal Learning

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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 Transactions on Image Processing (TIP), 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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 Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2023 Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning Xiaojie Li, Jianlong Wu^, Shaowei He, Kang Shuo, Yue Yu, Liqiang Nie, Min Zhang ACM Conference on Multimedia (ACM MM), 2023 Temporal Sentence Grounding in Streaming Videos Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu^, Qingpei Guo, Liqiang Nie ACM Conference on Multimedia (ACM MM), 2023 Mask Again: Masked Knowledge Distillation for Masked Video Modeling Xiaojie Li, Shaowei He, Jianlong Wu^, Yue Yu, Liqiang Nie^, Min Zhang ACM Conference on Multimedia (ACM MM), 2023 Semantic-aware Modular Capsule Routing for Visual Question Answering Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie IEEE Transactions on Image Processing (TIP), 2023 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 Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 Multi-Granularity Interaction and Integration Network for Video Question Answering Yuanyuan Wang, Meng Liu, Jianlong Wu, Liqiang Nie IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie Industrial Track of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation Xiao Wang, Tian Gan^, Yinwei Wei, Jianlong Wu^, Xiaoqiang Lei, Liqiang Nie ACM Conference on Multimedia (ACM MM), 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 European Conference on Computer Vision (ECCV), 2022 TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 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 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Self-supervised Correlation Learning for Cross-Modal Retrieval Yaxin Liu, Jianlong Wu^, Leigang Qu, Tian Gan, Jianhua Yin, Liqiang Nie IEEE Transactions on Multimedia (TMM), 2022 Micro-influencer Recommendation by Multi-perspective Account Representation Learning Shaokun Wang, Tian Gan^, Yuan Liu, Jianlong Wu^, Yuan Cheng, Liqiang Nie IEEE Transactions on Multimedia (TMM), 2022 DualGNN: Dual Graph Neural Network for Multimedia Recommendation Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie IEEE Transactions on Multimedia (TMM), 2022 Graph Contrastive Clustering Huasong Zhong*, Jianlong Wu*, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xiansheng Hua International Conference on Computer Vision (ICCV), 2021 Reconstruction Regularized Low-Rank Subspace Learning for Cross-Modal Retrieval Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha Pattern Recognition (PR), 2021 Dynamic Modality Interaction Modeling for Image-Text Retrieval Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, Best Student Paper), 2021 Discover Micro-influencers for Brands via Better Understanding Shaokun Wang, Tian Gan, Yuan Liu, Li Zhang, Jianlong Wu, Liqiang Nie IEEE Transactions on Multimedia (TMM), 2021 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space Shangchen Du*, Shan You*^, Xiaojie Li, Jianlong Wu^, Fei Wang, Chen Qian, Changshui Zhang Advances in Neural Information Processing Systems (NeurIPS), 2020 Local Correlation Consistency for Knowledge Distillation Xiaojie Li, Jianlong Wu^, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian European Conference on Computer Vision (ECCV), 2020 Maximum-and-Concatenation Networks Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin International Conference on Machine Learning (ICML), 2020 Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Unified Graph and Low-rank Tensor Learning for Multi-view Clustering Jianlong Wu*, Xingyu Xie*, Liqiang Nie, Zhouchen Lin, Hongbin Zha AAAI Conference on Artificial Intelligence (AAAI), 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang*, Jianlong Wu*, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin AAAI Conference on Artificial Intelligence (AAAI), 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation Yibo Yang*, Hongyang Li*, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin AAAI Conference on Artificial Intelligence (AAAI), 2020 Deep Comprehensive Correlation Mining for Image Clustering Jianlong Wu*, Keyu Long*, Fei Wang, Chen Qian, Cheng Li, Zhouchen Lin, Hongbin Zha International Conference on Computer Vision (ICCV), 2019 Expectation-Maximization Attention Networks for Semantic Segmentation Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu International Conference on Computer Vision (ICCV, Oral), 2019 Essential Tensor Learning for Multi-view Spectral Clustering Jianlong Wu, Zhouchen Lin, Hongbin Zha IEEE Transactions on Image Processing (TIP), 2019 Differentiable Linearized ADMM Xingyu Xie*, Jianlong Wu*, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin International Conference on Machine Learning (ICML), 2019 R^2 -Net: Recurrent and Recursive Network for Sparse-view CT Artifacts Removal Tiancheng Shen*, Xia Li*, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 Matrix Recovery With Implicitly Low-rank Data Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang Neurocomputing, 2019 Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining Xia Li*, Jianlong Wu*, Zhouchen Lin, Hong Liu, Hongbin Zha European Conference on Computer Vision (ECCV), 2018 Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-modal Retrieval Jianlong Wu, Zhouchen Lin, Hongbin Zha ACM International Conference on Information and Knowledge Management (CIKM, short paper), 2018 Joint Latent Subspace Learning and Regression for Cross-modal Retrieval Jianlong Wu, Zhouchen Lin, Hongbin Zha International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, short paper), 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 Multi-view Common Space Learning for Emotion Recognition in the Wild Jianlong Wu, Zhouchen Lin, Hongbin Zha ACM International Conference on Multimodal Interaction (ICMI), 2016 Multiple Models Fusion for Emotion Recognition in the Wild Jianlong Wu, Zhouchen Lin, Hongbin Zha ACM International Conference on Multimodal Interaction (ICMI), 2015

学术兼职

Area Chair:Neural Information Processing Systems (NeurIPS, 2023), ACM Multimedia (ACM MM, 2023), IEEE International Conference on Pattern Recognition (ICPR, 2022/2020) Guest Editor:IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), International Journal of Multimedia Information Retrieval (IJMIR), Visual Intelligence Senior Program Committee (SPC) Member:International Joint Conferences on Artificial Intelligence (IJCAI, 2023) Reviewer for Journals:IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Pattern Recognition (PR), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Cybernetics (TCYB) Reviewer (or Program Committee Member) for Conferences:International Conference on Machine Learning (ICML),Neural Information Processing Systems (NeurIPS), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), Eourpean Conference on Computer Vision (ECCV), AAAI Conference on Artificial Intelligence (AAAI), ACM Conference on Multimedia (ACM MM), International Conference on Learning Representation (ICLR), International Joint Conferences on Artificial Intelligence (IJCAI)

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