Jianwen Xie

According to our database, Jianwen Xie authored at least 72 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Latent Space Energy-based Neural ODEs.

Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang

CoRR, 2024

Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space.

Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu

CoRR, 2024

Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer.

Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu

CoRR, 2024

Latent Plan Transformer: Planning as Latent Variable Inference.

Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

CoRR, 2024

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood.

Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Energy-Based Continuous Inverse Optimal Control.

Yifei Xu, Jianwen Xie, Tianyang Zhao, Chris L. Baker, Yibiao Zhao, Ying Nian Wu

IEEE Trans. Neural Networks Learn. Syst., December, 2023

An Energy-Based Prior for Generative Saliency.

Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models.

Belhal Karimi, Jianwen Xie, Ping Li

CoRR, 2023

Molecule Design by Latent Prompt Transformer.

Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu

CoRR, 2023

Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation.

Weinan Song, Yaxuan Zhu, Lei He, Yingnian Wu, Jianwen Xie

CoRR, 2023

Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation.

Yaxuan Zhu, Jianwen Xie, Ping Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning.

Yang Zhao, Jianwen Xie, Ping Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference.

Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation.

Yuanlu Xu, Wenguan Wang, Tengyu Liu, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing.

Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li

CoRR, 2022

A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model.

Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel.

Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Energy-Based Generative Cooperative Saliency Prediction.

Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion.

Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Revisiting Video Saliency Prediction in the Deep Learning Era.

Wenguan Wang, Jianbing Shen, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Unsupervised Single Image Super-resolution Under Complex Noise.

Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng

CoRR, 2021

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction.

Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling.

Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling.

Yang Zhao, Jianwen Xie, Ping Li

Proceedings of the 9th International Conference on Learning Representations, 2021

Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning.

Zilong Zheng, Jianwen Xie, Ping Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Video Deraining With Dynamical Rain Generator.

Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction.

Dongsheng An, Jianwen Xie, Ping Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MixBERT for Image-Ad Relevance Scoring in Advertising.

Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Jianwen Xie, Zilong Zheng, Ping Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Cooperative Training of Descriptor and Generator Networks.

Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

CoRR, 2020

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

Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

CoRR, 2020

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

Jing Zhang, Jianwen Xie, Nick Barnes

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Representation Learning: A Statistical Perspective.

Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

CoRR, 2019

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

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

CoRR, 2019

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

Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

CoRR, 2019

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

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

CoRR, 2019

Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1.

Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

CoRR, 2019

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

Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

CoRR, 2019

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

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection.

Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Dynamic Generator Model by Alternating Back-Propagation through Time.

Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

CoRR, 2018

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

Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Descriptor Networks for 3D Shape Synthesis and Analysis.

Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Super-Trajectory for Video Segmentation.

Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli

Proceedings of the IEEE International Conference on Computer Vision, 2017

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet.

Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Generative Hierarchical Learning of Sparse FRAME Models.

Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Generative Modeling and Unsupervised Learning in Computer Vision.

Jianwen Xie

PhD thesis, 2016

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

Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

CoRR, 2016

Cooperative Training of Descriptor and Generator Networks.

Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu

CoRR, 2016

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.

Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson

CoRR, 2016

A Theory of Generative ConvNet.

Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Learning Sparse FRAME Models for Natural Image Patterns.

Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu

Int. J. Comput. Vis., 2015

2014

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

Ariana E. Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, Mark S. Cohen

NeuroImage, 2014

Learning Inhomogeneous FRAME Models for Object Patterns.

Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2009

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

Ming Li, Yuanbiao Zhang, Weigang Jiang, Jianwen Xie

Proceedings of the 2009 IITA International Conference on Services Science, 2009

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

Xiaoxiang Liu, Weigang Jiang, Jianwen Xie

Proceedings of the Fifth International Conference on Natural Computation, 2009

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

Jianwen Xie, Xiaoxiang Liu, Weigang Jiang

Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

Feature Subset Selection Using Association Rules.

Jianwen Xie, Weigang Jiang, Xiaoxiang Liu

Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

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

Weigang Jiang, Yuanbiao Zhang, Jianwen Xie

Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Scheduling, 2009

Feature Selection Algorithm Based on Association Rules Mining Method.

Jianwen Xie, Jianhua Wu, Qingquan Qian

Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009