Jianwen Xie

发表

Super-Trajectory for Video Segmentation

Wenguan Wang, Jianbing Shen, Fatih Porikli, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Representational Model of Grid Cells' Path Integration Based on Matrix Lie Algebras

Ying Nian Wu, Song-Chun Zhu, Ruiqi Gao, 2020 .

Linear Programming With Fuzzy Relation Constraints: A Molecular-Diffusion Based Particle Swarm Optimization Approach

Xiaoxiang Liu, Jianwen Xie, Weigang Jiang, 2009, IC-AI.

Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler pdf

Jianwen Xie, Ping Li, Zilong Zheng, 2020, ArXiv.

Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model

Ying Nian Wu, Song-Chun Zhu, Jianwen Xie, 2019, ArXiv.

Feature Subset Selection Using Association Rules

Xiaoxiang Liu, Jianwen Xie, Weigang Jiang, 2009, IC-AI.

Learning Inhomogeneous FRAME Models for Object Patterns

Wenze Hu, Song-Chun Zhu, Ying Nian Wu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2019, AAAI.

Extracting fuzzy rules from neural networks for land evaluation

Yueming Hu, Bo Li, Yueju Xue, 2005 .

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis

Ying Nian Wu, Song-Chun Zhu, Ruiqi Gao, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion pdf

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2018, ArXiv.

Decoding the encoding of functional brain networks: An fMRI classification comparison of non-negative matrix factorization (NMF), independent component analysis (ICA), and sparse coding algorithms

Ying Nian Wu, Jianwen Xie, Pamela K. Douglas, 2016, Journal of Neuroscience Methods.

Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

Fei Wu, Shiliang Pu, Chengwei Zhang, 2018, AAAI.

A New Resource Constrained Project Scheduling Problem

Jianwen Xie, Xiaoxiang Liu, Weigang Jiang, 2009, 2009 Asia-Pacific Conference on Information Processing.

Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

Cewu Lu, Yu-Wing Tai, Haoshu Fang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach

Xiaoxiang Liu, Jianwen Xie, Weigang Jiang, 2009, 2009 Fifth International Conference on Natural Computation.

Revisiting Video Saliency Prediction in the Deep Learning Era

Haibin Ling, Wenguan Wang, Jianbing Shen, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dynamic Pattern Synthesis by Spatial-Temporal Generative ConvNet

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2018 .

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2018, AAAI.

Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching

Yang Lu, Ying Nian Wu, Ruiqi Gao, 2018, AAAI.

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning pdf

Jianwen Xie, Yizhe Zhu, Bingchen Liu, 2019, ArXiv.

Feature Selection Algorithm Based on Association Rules Mining Method

Jianhua Wu, Jianwen Xie, Qingquan Qian, 2009, 2009 Eighth IEEE/ACIS International Conference on Computer and Information Science.

A Representational Model of Grid Cells Based on Matrix Lie Algebras pdf

Ying Nian Wu, Song-Chun Zhu, Ruiqi Gao, 2020, ArXiv.

A multimedia set-top box with PDTC simulation

Ruomei Wang, Jianwen Xie, Ping Li, 2010, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).

A particle swarm optimization algorithm based on molecule diffusion

Jianwen Xie, Xiaoxiang Liu, Weigang Jiang, 2009, International Conference on Industrial Mechatronics and Automation.

Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2018, ICLR.

Learning vector representation of local content and matrix representation of local motion, with implications for V1

Ying Nian Wu, Song-Chun Zhu, Ruiqi Gao, 2019 .

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning

Jianwen Xie, Yizhe Zhu, Bingchen Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition pdf

Fei Wu, Shiliang Pu, Jing Lu, 2019, ArXiv.

A Theory of Generative ConvNet pdf

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2016, ICML.

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects

Song-Chun Zhu, Yuanlu Xu, Lei Qin, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet pdf

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2016, ArXiv.

Sparse and deep generalizations of the FRAME model

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2018 .

Energy-Based Continuous Inverse Optimal Control

Ying Nian Wu, Jianwen Xie, Tianyang Zhao, 2019 .

Learning Sparse FRAME Models for Natural Image Patterns

Wenze Hu, Song-Chun Zhu, Ying Nian Wu, 2014, International Journal of Computer Vision.

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Zhiqiang Tang, Xi Peng, Jianwen Xie, 2019, NeurIPS.

Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Cooperative Training of Descriptor and Generator Networks

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD

Alan L. Yuille, Ying Nian Wu, Mark S. Cohen, 2014, NeuroImage.

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning pdf

Zhiqiang Tang, Xi Peng, Jianwen Xie, 2019, ArXiv.

Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification pdf

Ying Nian Wu, Song-Chun Zhu, Jianwen Xie, 2020, ArXiv.

Representation Learning: A Statistical Perspective pdf

Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu, 2019, Annual Review of Statistics and Its Application.

Generative Modeling and Unsupervised Learning in Computer Vision

Jianwen Xie, Jianwen Xie, 2016 .

A particle swarm optimization algorithm with crossover for vehicle routing problem with time windows

Yuanbiao Zhang, Jianwen Xie, Weigang Jiang, 2009, 2009 IEEE Symposium on Computational Intelligence in Scheduling.

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection pdf

Nick Barnes, Jing Zhang, Jianwen Xie, 2020, ECCV.

Generative Hierarchical Learning of Sparse FRAME Models

Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Particle Swarm Optimization Algorithm with Crossover for Resource Constrained Project Scheduling Problem

Ming Li, Yuanbiao Zhang, Jianwen Xie, 2009, 2009 IITA International Conference on Services Science, Management and Engineering.

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Song-Chun Zhu, Ying Nian Wu, Wenguan Wang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

On Path Integration Model of Grid Cells: Locally Conformal Embedding and Matrix Lie Algebra

Xue-Xin Wei, Ying Nian Wu, Song-Chun Zhu, 2020 .

Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2021, AAAI.

Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler

Jianwen Xie, Ping Li, Zilong Zheng, 2020, AAAI.

Semi-Supervised Video Deraining with Dynamical Rain Generator

Deyu Meng, Jianwen Xie, Qian Zhao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Template Matching Based on an Improved PSO Algorithm

Jianwen Xie, Xiaoxiang Liu, Weigang Jiang, 2009, 2009 Third International Symposium on Intelligent Information Technology Application Workshops.

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning.

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2019 .

An image template matching method using particle swarm optimization

Jianwen Xie, Xiaoxiang Liu, Weigang Jiang, 2009, 2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA).

Water metamaterial for ultra-broadband and wide-angle absorption.

Chong He, Ronghong Jin, Weiren Zhu, 2018, Optics express.