Jianlong Wu (吴建龙)
I'm Jianlong Wu, an associate professor and doctoral advisor in School of Computer Science and Technology, Harbin Institute of Technology(Shenzhen). Before that, I worked as an assistant professor in Shandong University from 2019 to 2022. I received my Ph.D. degree in computer vision from the ZERO Lab, School of Electronics Engineering and Computer Science, Peking University in 2019, advised by Professor Zhouchen Lin (IEEE Fellow) and Professor Hongbin Zha. In 2014, I received my bachelor's degree in electronics and information engineering from the advanced class, Huazhong University of Science and Technology (HUST).
Research Interest
Computer Vision, Unsupervised and Semi-supervised Learning, Multi-modal Learning.
wujianlong@hit.edu.cn Google Scholar
Recruit
News
- [2024/03] I will serve as an Area Chair of NeurIPS 2024 and ACM MM 2024. Two papers were accepted by TPAMI.
- [2023/12] Won the First Prize of Shandong Provincial Technological Invention Award and the Young Elite Scientists Sponsorship Program by CAST.
- [2023/08] Three papers were accepted by ACM MM.
- [2023/05] I will serve as an Area Chair of ACM Multimedia 2023. Two papers were accepted by ACL and SIGIR, respectively.
- [2023/03] I will serve as an Area Chair of NeurIPS 2023 and a Guest Editor of TCSVT. Two papers were accepted by CVPR and TIP, respectively.
- [2022/07] Three papers were accepted by TNNLS, ECCV 2022, and ACM MM 2022, respectively.
- [2022/02] Two papers were accepted by CVPR 2022 and three papers were accepted by IEEE Trans. Multimedia.
- [2021/12] Our work won the First Prize of the Shandong Provincial Science and Technology Progress Award in 2021.
- [2021/07] Our paper received the Best Student Paper Award of SIGIR 2021. And one paper was accepted by ICCV 2021.
- [2021/04] One paper was accepted by PR and another paper was accepted by SIGIR 2021.
- [2020/10] I will serve as a Senior Program Committee (SPC) Member for IJCAI 2021.
- [2020/09] Four papers were accepted by NeurIPS 2020, ICML 2020, SIGIR 2020, and ECCV 2020, respectively.
- [2019/11] Three papers were accepted by AAAI 2020.
- [2019/07] Two papers were accepted by ICCV 2019 with one oral presentation.
- [2019/05] Two papers were accepted by IEEE Trans. Image Processing and ICML 2019.
Publications
(* denotes equal contributions and ^ denotes corresponding author)2024
Detecting and Grounding Multi-modal Media Manipulation and Beyond
Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[PDF]
Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval
Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
[PDF]
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
[PDF]
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
2022
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
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
2021
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
[PDF]
Reconstruction Regularized Low-Rank Subspace Learning for Cross-Modal Retrieval
Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha
Pattern Recognition (PR), 2021
[PDF]
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
[PDF]
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
[PDF]
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
Advances in Neural Information Processing Systems (NeurIPS), 2020
[PDF]
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
[PDF]
Maximum-and-Concatenation Networks
Xingyu Xie, Hao Kong, Jianlong Wu, Wayne Zhang, Guangcan Liu, Zhouchen Lin
International Conference on Machine Learning (ICML), 2020
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
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
[PDF]
2019
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
[PDF]
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
[PDF]
Essential Tensor Learning for Multi-view Spectral Clustering
Jianlong Wu, Zhouchen Lin, Hongbin Zha
IEEE Transactions on Image Processing (TIP), 2019
[PDF]
Differentiable Linearized ADMM
Xingyu Xie*, Jianlong Wu*, Zhisheng Zhong, Guangcan Liu, Zhouchen Lin
International Conference on Machine Learning (ICML), 2019
[PDF]
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
[PDF]
Matrix Recovery With Implicitly Low-rank Data
Xingyu Xie, Jianlong Wu, Guangcan Liu, Jun Wang
Neurocomputing, 2019
[PDF]
2018
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
[PDF]
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
[PDF]
2017
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
[PDF]
Locality-constrained Linear Coding Based Bi-layer Model for Multi-view Facial Expression Recognition
Jianlong Wu, Zhouchen Lin, Wenming Zheng, Hongbin Zha
Neurocomputing, 2017
[PDF]
2016
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
[PDF]
2015
Multiple Models Fusion for Emotion Recognition in the Wild
Jianlong Wu, Zhouchen Lin, Hongbin Zha
ACM International Conference on Multimodal Interaction (ICMI), 2015
[PDF]
Academic Services
Area Chair:
Neural Information Processing Systems (NeurIPS, 2024/2023),
ACM Multimedia (ACM MM, 2024/2023),
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)
Selected Awards
- 2023 First Prize of the Shandong Provincial Technological Invention Award
- 2023 Young Elite Scientists Sponsorship Program by CAST
- 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
Teaching
- Introduction to Object-Oriented Software Construction, Harbin Institute of Technology (Shenzhen), Spring 2023.
- Digital Image Processing, Shandong University, Fall 2021/2020/2019.
- Advanced Language Programming, Shandong University, Spring 2022/2021/2020.
- Computer Vision, Shandong University, Fall 2020/2019.