Jianwen Xie

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 81

Top Venues

CoRR

CVPR

AAAI

IEEE Trans. Pattern Anal. Mach. Intell.

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

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
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space. CoRR (2024)
Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. ICLR (2024)
Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
Latent Plan Transformer: Planning as Latent Variable Inference. CoRR (2024)
Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu
Dual-Space Optimization: Improved Molecule Sequence Design by Latent Prompt Transformer. CoRR (2024)
Yaxuan Zhu, Jianwen Xie, Ping Li
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. CoRR (2023)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
An Energy-Based Prior for Generative Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Yang Zhao, Jianwen Xie, Ping Li
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. CoRR (2023)
Belhal Karimi, Jianwen Xie, Ping Li
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. CoRR (2023)
Deqian Kong, Yuhao Huang, Jianwen Xie, Ying Nian Wu
Molecule Design by Latent Prompt Transformer. CoRR (2023)
Yaxuan Zhu, Jianwen Xie, Ping Li
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. AISTATS (2023)
Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference. AAAI (2023)
Yifei Xu, Jianwen Xie, Tianyang Zhao, Chris L. Baker, Yibiao Zhao, Ying Nian Wu
Energy-Based Continuous Inverse Optimal Control. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yang Zhao, Jianwen Xie, Ping Li
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning. AAAI (2023)
Weinan Song, Yaxuan Zhu, Lei He, Yingnian Wu, Jianwen Xie
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation. CoRR (2023)
Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference. CoRR (2023)
Yaxuan Zhu, Jianwen Xie, Yingnian Wu, Ruiqi Gao
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood. CoRR (2023)
Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. AAAI (2022)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
An Energy-Based Prior for Generative Saliency. CoRR (2022)
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
Energy-Based Generative Cooperative Saliency Prediction. AAAI (2022)
Yuanlu Xu, Wenguan Wang, Tengyu Liu, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu
Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. CoRR (2022)
Jianwen Xie, Yaxuan Zhu, Jun Li, Ping Li
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model. ICLR (2022)
Khoa D. Doan, Jianwen Xie, Yaxuan Zhu, Yang Zhao, Ping Li
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing. CoRR (2022)
Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. CVPR (2022)
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. CoRR (2021)
Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. CVPR (2021)
Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng
Semi-Supervised Video Deraining with Dynamical Rain Generator. CoRR (2021)
Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes
Energy-Based Generative Cooperative Saliency Prediction. CoRR (2021)
Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction. NeurIPS (2021)
Wenguan Wang, Jianbing Shen, Jianwen Xie, Ming-Ming Cheng, Haibin Ling, Ali Borji
Revisiting Video Saliency Prediction in the Deep Learning Era. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Dongsheng An, Jianwen Xie, Ping Li
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. CVPR (2021)
Ruiqi Gao, Jianwen Xie, Xue-Xin Wei, Song-Chun Zhu, Ying Nian Wu
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling. NeurIPS (2021)
Jianwen Xie, Zilong Zheng, Ping Li
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. AAAI (2021)
Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng
Semi-Supervised Video Deraining With Dynamical Rain Generator. CVPR (2021)
Zilong Zheng, Jianwen Xie, Ping Li
Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. CVPR (2021)
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. CoRR (2021)
Yang Zhao, Jianwen Xie, Ping Li
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling. ICLR (2021)
Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng
Unsupervised Single Image Super-resolution Under Complex Noise. CoRR (2021)
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. AAAI (2021)
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li
MixBERT for Image-Ad Relevance Scoring in Advertising. CIKM (2021)
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. CoRR (2020)
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
A Representational Model of Grid Cells Based on Matrix Lie Algebras. CoRR (2020)
Jing Zhang, Jianwen Xie, Nick Barnes
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. ECCV (17) (2020)
Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. CoRR (2020)
Jing Zhang, Jianwen Xie, Nick Barnes
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection. CoRR (2020)
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. AAAI (2020)
Jianwen Xie, Zilong Zheng, Ping Li
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. CoRR (2020)
Jianwen Xie, Yang Lu, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
Cooperative Training of Descriptor and Generator Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV (2019)
Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
Representation Learning: A Statistical Perspective. CoRR (2019)
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion. ICLR (Poster) (2019)
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns. CoRR (2019)
Zhanzhan Cheng, Jing Lu, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
Efficient Video Scene Text Spotting: Unifying Detection, Tracking, and Recognition. CoRR (2019)
Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu
Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model. CoRR (2019)
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Learning Dynamic Generator Model by Alternating Back-Propagation through Time. AAAI (2019)
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. AAAI (2019)
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS (2019)
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1. CoRR (2019)
Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection. CoRR (2018)
Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. CoRR (2018)
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CVPR (2018)
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time. CoRR (2018)
Yuanlu Xu, Lei Qin, Xiaobai Liu, Jianwen Xie, Song-Chun Zhu
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. CVPR (2018)
Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. CVPR (2018)
Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song-Chun Zhu, Ying Nian Wu
Learning Descriptor Networks for 3D Shape Synthesis and Analysis. CoRR (2018)
Jianwen Xie, Yang Lu, Ruiqi Gao, Ying Nian Wu
Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching. AAAI (2018)
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion. CoRR (2018)
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. CVPR (2017)
Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu
Generative Hierarchical Learning of Sparse FRAME Models. CVPR (2017)
Wenguan Wang, Jianbing Shen, Jianwen Xie, Fatih Porikli
Super-Trajectory for Video Segmentation. ICCV (2017)
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
A Theory of Generative ConvNet. ICML (2016)
Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson
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. CoRR (2016)
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet. CoRR (2016)
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
A Theory of Generative ConvNet. CoRR (2016)
Jianwen Xie, Yang Lu, Song-Chun Zhu, Ying Nian Wu
Cooperative Training of Descriptor and Generator Networks. CoRR (2016)
Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu
Learning Sparse FRAME Models for Natural Image Patterns. Int. J. Comput. Vis. 114 (2-3) (2015)
Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu
Learning Inhomogeneous FRAME Models for Object Patterns. CVPR (2014)
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
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage 102 (2014)
Xiaoxiang Liu, Weigang Jiang, Jianwen Xie
Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach. ICNC (4) (2009)
Jianwen Xie, Xiaoxiang Liu, Weigang Jiang
Linear Programming With Fuzzy Relation Constraints: A Molecular-Diffusion Based Particle Swarm Optimization Approach. IC-AI (2009)
Jianwen Xie, Weigang Jiang, Xiaoxiang Liu
Feature Subset Selection Using Association Rules. IC-AI (2009)
Jianwen Xie, Jianhua Wu, Qingquan Qian
Feature Selection Algorithm Based on Association Rules Mining Method. ACIS-ICIS (2009)
Ming Li, Yuanbiao Zhang, Weigang Jiang, Jianwen Xie
A Particle Swarm Optimization Algorithm with Crossover for Resource Constrained Project Scheduling Problem. SSME (2009)
Weigang Jiang, Yuanbiao Zhang, Jianwen Xie
A particle swarm optimization algorithm with crossover for vehicle routing problem with time windows. CISched (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianwen Xie