Publications

Direction 1: Interpretability of Neural Networks
Conference papers

Interpretable Convolutional Neural Networks
Quanshi Zhang
, Ying Nian Wu, and Song-Chun Zhu
CVPR (Spotlight) 2018
[PDF]  [Code]  [Project website]

Interpreting CNN Knowledge via an Explanatory Graph
Quanshi Zhang
, Ruiming Cao, Feng Shi, Ying Nian Wu, and Song-Chun Zhu

AAAI, 2018
[PDF]  [Code]  [Project website]  [Video]

Examining CNN Representations with respect to Dataset Bias
Quanshi Zhang, Wenguan Wang, and Song-Chun Zhu

AAAI, 2018
[PDF]

Mining Object Parts from CNNs via Active Question-Answering
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, and Song-Chun Zhu

CVPR, 2017
[Project website]  [PDF]  [Video]

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, and Song-Chun Zhu
AAAI, 2017
[PDF]  [Code]  [Project website]  [Video]

Journal papers

Visual interpretability for Deep Learning: a Survey
Quanshi Zhang and Song-Chun Zhu

Frontiers of Information Technology & Electronic Engineering. Vol. 19, No. 1, page 27-39, 2018
[PDF]  [Project website]  [由第三方翻译报道]

arXiv papers

Network Transplanting
Quanshi Zhang, Yu Yang, Ying Nian Wu, and Song-Chun Zhu

arXiv:1804.10272, 2018
[PDF]

Unsupervised Learning of Neural Networks to Explain Neural Networks
Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, and Song-Chun Zhu

arXiv:1805.07468, 2018
[PDF]

Interpreting CNNs via Decision Trees
Quanshi Zhang, Yu Yang, Ying Nian Wu, and Song-Chun Zhu

arXiv:1802.00121, 2018
[PDF]  [由第三方翻译报道]

Interactively Transferring CNN Patterns for Part Localization
Quanshi Zhang, Ruiming Cao, Shengming Zhang, Ying Nian Wu, and Song-Chun Zhu

arXiv:1708.01783, 2017
[PDF]

Direction 2: Graph mining & graph matching
Journal papers

Object Discovery: Soft Attributed Graph Mining
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 38(3):532-545, 2016
[PDF]  [Project website]  [Code]

From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models
Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, Huijing Zhao

ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 6(2): 16, 2015
[PDF]

Conference papers

Mining And-Or Graphs for Graph Matching and Object Discovery
Quanshi Zhang, Ying Nian Wu, and Song-Chun Zhu

ICCV, 2015
[PDF]  [Video]  [Supplementary]  [Project website]  [Code]

Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

CVPR, 2014
[PDF]  [Video]  [Project website]  [Video Spotlight]  [Code]

Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

ICCV 2013
[PDF]

Category Modeling from just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

CVPR, 2013
[PDF]  [Video]

arXiv papers

A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images
Quanshi Zhang, Ying Nian Wu, and Song-Chun Zhu

arXiv:1708.03911, 2017
[PDF]

Visual Graph Mining
Quanshi Zhang, Xuan Song, and Ryosuke Shibasaki

arXiv:1708.03921, 2017
[PDF]

Direction 3: Other studies
Journal papers

Prediction and Simulation of Human Mobility Following Natural Disasters
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, and Xing Xie

ACM Transactions on Intelligent Systems and Technology (ACM-TIST), 8(2): 29, 2016
[PDF]

Unsupervised Skeleton Extraction and Motion Capture from 3D Deformable Matching
Quanshi Zhang, Xuan Song, Xiaowei Shao, Ryosuke Shibasaki, and Huijing Zhao

Neurocomputing, Elsevier, pp.170-182, 2013
[PDF]  [Video]

Intelligent System for Human Behavior Analysis and Reasoning Following Large‐scale Disasters
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, and Ryosuke Shibasaki

IEEE Intelligent Systems, vol. 28, no. 4, pp. 35-42, July-Aug. 2013
[PDF]

A Fully Online and Unsupervised System for Large and High Density Area Surveillance: Tracking, Semantic Scene Learning and Abnormality Detection
Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, Jinshi Cui, and Hongbin Zha

ACM Transactions on Intelligent Systems and Technology (ACMTIST), 4(2): 20, 2013
[PDF]

A Novel Dynamic Model for Multiple Pedestrians Tracking in Extremely Crowded Scenarios
Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, and Hongbin Zha

Information Fusion, Elsevier, 2012
[PDF]

Conference papers

A Simulator of Human Emergency Mobility following Disasters: Knowledge Transfer from Big Disaster Data
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, and Xing Xie

AAAI, 2015
[PDF]

When 3D Reconstruction Meets Ubiquitous RGB-D Images
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

CVPR, 2014
[PDF]  [Video]  [Video spotlight]

Start from Minimum Labeling: Learning of 3D Object Models and Point Labeling from a Large and Complex Environment
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

ICRA, 2014
[PDF]  [Video]

Prediction of Human Emergency Behavior and their Mobility following Large-scale Disaster
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, and Ryosuke Shibasaki

KDD, 2014
[PDF]

Intelligent System for Urban Emergency Management During Large-scale Disaster
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, and Ryosuke Shibasaki

AAAI, 2014
[PDF]

Unsupervised 3D Category Discovery and Point Labeling from a Large Urban Environment
Quanshi Zhang, Xuan Song, Xiaowei Shao, Huijing Zhao, and Ryosuke Shibasaki

ICRA, 2013
[PDF]  [Video]  [PPT]

Modeling and Probabilistic Reasoning of Population Evacuation During Large-scale Disaster
Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, and Ryosuke Shibasaki

KDD, 2013
[PDF]

Laser-based Intelligent Surveillance and Abnormality Detection in Extremely Crowded Scenarios
Xuan Song, Xiaowei Shao, Quanshi Zhang, Ryosuke Shibasaki, Huijing Zhao, and Hongbin Zha

ICRA, 2012
[PDF]

Moving Object Classification using Horizontal Laser Scan Data
Huijing Zhao, Quanshi Zhang, Masaki Chiba, Ryosuke Shibasaki, Jinshi Cui, and Hongbin Zha

ICRA, 2009
[PDF]