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Jianlong Wu (吴建龙)

I'm Jianlong Wu, a tenure-track assistant professor in School of Computer Science and Technology, Shandong University(Qingdao Campus). Before that, 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

My research interests include computer vision, weakly supervised learning, and cross-modal retrieval.

  jlwu1992@sdu.edu.cn                               Google Scholar

Recruit

I'm recruiting self-motivated master students who have strong mathematical abilities and coding skills to work with me on computer vision related research topics. Welcome to send me your detailed resume!


News

  • [2020/07] One paper was accepted to ECCV 2020.
  • [2020/06] One paper was accepted to ICML 2020.
  • [2020/04] One paper was accepted to SIGIR 2020.
  • [2019/11] Three papers were accepted to AAAI 2020.
  • [2019/07] Two papers were accepted to ICCV 2019 with one oral presentation.
  • [2019/06] One paper was early accepted to MICCAI 2019.
  • [2019/05] One paper was accepted to IEEE Trans. Image Processing.
  • [2019/04] One paper was accepted to ICML 2019.

Publications

(* denotes equal contributions or corresponding author)

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
[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]

Multi-modal Try-on-guided Fashion Compatibility Modeling
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:
IEEE International Conference on Pattern Recognition (ICPR, 2020)

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), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Cybernetics (TCYB)

Reviewer for Conferences:
International Conference on Machine Learning (ICML, 2020),Neural Information Processing Systems (NeurIPS, 2020/2019), AAAI Conference on Artificial Intelligence (AAAI, 2020/2019), International Joint Conferences on Artificial Intelligence (IJCAI, 2020), ACM Conference on Multimedia (ACM MM, 2020), IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 2019),


Selected Awards

  • 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
  • 2017 SIGIR Travel Award, ACM
  • 2016 Outstanding Academic Award, Peking University
  • 2014 Outstanding Graduate, HUST
  • 2014 Excellent Student Cadre, HUST
  • 2013 Distinguished Creative Performance Scholarship, HUST
  • 2011-2013 Academic Excellence Scholarship, HUST

Teaching

  • Advanced Language Programming, Shandong University, Spring 2020.
  • Digital Image Processing, Shandong University, Fall 2019.
  • Computer Vision, Shandong University, Fall 2019.