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Jianlong Wu

jlwu1992 AT pku.edu.cn

Assistant professor

Shandong University

Personal Site

Biography

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 School of Electronics Engineering and Computer Science, Peking University in 2019, advised by Professor Zhouchen Lin and Professor Hongbin Zha.

Interests

  • Weakly Supervised Learning
  • Multi-view Learning
  • Computer Vision
  • Machine Learning

Education

  • Ph.D. in Computer Vision, 2014-2019

    Peking University

  • B.E. in Electronic Information and Engineering, 2010-2014

    Huazhong University of Science and Technology

Curriculum Vitae

 
 
 
 
 

Assistant Professor

Shandong University

Jul 2019 – Present Qingdao

Research on:

  • Weakly Supervised Learning
  • Computer Vision
  • Machine Leanring
 
 
 
 
 

Intern Researcher

SenseTime Research

Jul 2018 – Apr 2019 Beijing

Research on:

  • Image Clustering
  • Computer Vision

Publications @ZERO Lab

Maximum-and-Concatenation Networks. ICML, 2020.

We propose a novel multi-layer DNN structure termed MCN, which can approximate some class of continuous functions arbitrarily well even …
Xingyu Xie , Kong Hao , Jianlong Wu , Wayne Zhang , Guangcan Liu , Zhouchen Lin
PDF

Unified Graph and Low-rank Tensor Learning for Multi-view Clustering. AAAI, 2020.

We propose a novel framework to jointly learn the affinity graph and low-rank tensor decomposition for multi-view clustering.
Jianlong Wu , Xingyu Xie , Liqiang Nie , Zhouchen Lin , Hongbin Zha
PDF

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families. AAAI, 2020.

Inspired from the dynamical systems, this study aims to unravel and improve ResNets.
PDF

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI, 2020.

Our study aims to explicitly predict overlap relations and resolve overlaps in a differentiable way for the panoptic output.
PDF Code Slides

Expectation Maximization Attention Networks for Semantic Segmentation. ICCV, 2019.

We formulate the attention mechanism into an expectation-maximization manner and iteratively estimate a much more compact set of bases …
PDF Code Project Slides Zhihu Survey Leaderboard

R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal. MICCAI, 2019.

We propose a novel neural network architecture to reduce streak artifacts generated in sparse-view 2D Cone Beam Computed To-mography …

Differentiable Linearized ADMM. ICML, 2019.

We propose D-LADMM, which is a K-layer LADMM inspired deep neural network and rigorously prove that there exist a set of learnable …
PDF

Deep Comprehensive Correlation Mining for Image Clustering. ICCV, 2019.

Recent developed deep unsupervised methods allow us to jointly learn representation and cluster unlabelled data. These deep clustering …
Jianlong Wu , Keyu Long , Fei Wang , Chen Qian , Cheng Li , Zhouchen Lin , Hongbin Zha
PDF supp

Recurrent Squeeze-and-Excitation Net for Single Image Deraining. ECCV, 2018.

We propose a novel deep network architecture based on deep convolutional and recurrent neural networksfor single image deraining.
Xia Li , Jianlong Wu , Zhouchen Lin , Hong Liu , Hongbin Zha
PDF Code Dataset Report

Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval. CIKM, 2018.

We present a novel joint dictionary learning and semantic constrained latent subspace learning method for cross-modal retrieval …
Jianlong Wu , Zhouchen Lin , Hongbin Zha
PDF

Joint Latent Space Learning and Regression for Cross Modal Retrieval. SIGIR, 2017.

We first adopt the spectral regression method to learn the optimal latent space shared by data of all modalities based on the …
Jianlong Wu , Zhouchen Lin , Hongbin Zha
PDF

Locality-constrained Linear Coding Based Bi-layer Model for Multi-view Facial Expression Recognition. Neurocomputing, 2017.

We propose a simple yet effective method, called the locality-constrained linear coding based bi-layer (LLCBL) model, to learn …
Jianlong Wu , Zhouchen Lin , Wenming Zheng , Hongbin Zha
PDF

Multi-view Common Space Learning for Emotion Recognition in the Wild. ICMI, 2016.

We propose a method to analyse multi-view features of emotion samples and automatically recognize the expression as part of the fourth …
Jianlong Wu , Zhouchen Lin , Hongbin Zha
PDF

Multiple Models Fusion for Emotion Recognition in the Wild. ICMI, 2015.

We propose a multiple models fusion method to automatically recognize the expression in the video clip as part of the third Emotion …
Jianlong Wu , Zhouchen Lin , Hongbin Zha
PDF

Awards

Outstanding Graduate

Peking University 2019

National Scholarship for Graduate Students

Chinese Ministry of Education 2018

Pexpertmaker to Merit Student

Peking University 2018

Merit Student

Peking University 2017

Academic Acativities

Reviewer to Journals

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Cybernetics (TCYB)
IEEE ACCESS

Reviewer to Conferences

Neural Information Processing Systems (NeurIPS) 2019
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
AAAI Conference on Artificial Intelligence (AAAI) 2019, 2020
Asian Conference on Computer Vision (ACML) 2019