Xinwen Hou

According to our database, Xinwen Hou authored at least 65 papers between 2001 and 2024.

Collaborative distances:

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

2024

PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining.

Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang

Proceedings of the 33rd USENIX Security Symposium, 2024

Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

GAN Inversion for Image Editing via Unsupervised Domain Adaptation.

Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MEPE: A Minimalist Ensemble Policy Evaluation Operator for Deep Reinforcement Learning.

Qiang He, Xinwen Hou

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query.

Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang

CoRR, 2023

Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning.

Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou

CoRR, 2023

Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control.

Chao Li, Chen Gong, Qiang He, Xinwen Hou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Template-guided Hierarchical Feature Restoration for Anomaly Detection.

Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning.

Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Centralized Cooperative Exploration Policy for Continuous Control Tasks.

Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods.

Chenghao Li, Yuhui Fu, Ruihong Ouyang, Yu Liu, Xinwen Hou

Sensors, 2022

Unsupervised Domain Adaptation GAN Inversion for Image Editing.

Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu

CoRR, 2022

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo

CoRR, 2022

Representation Gap in Deep Reinforcement Learning.

Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

CoRR, 2022

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution.

Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Lu

Proceedings of the International Joint Conference on Neural Networks, 2022

POPO: Pessimistic Offline Policy Optimization.

Qiang He, Xinwen Hou, Yu Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

Curiosity-Driven and Victim-Aware Adversarial Policies.

Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning.

Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou

CoRR, 2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework.

Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan

CoRR, 2021

LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders.

Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu

CoRR, 2021

MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning.

Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu

CoRR, 2021

Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model.

Yingying Chen, Xinwen Hou, Yu Liu

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games.

Chen Gong, Qiang He, Yunpeng Bai, Xinwen Hou, Guoliang Fan, Yu Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

POPO: Pessimistic Offline Policy Optimization.

Qiang He, Xinwen Hou

CoRR, 2020

Reducing Estimation Bias via Weighted Delayed Deep Deterministic Policy Gradient.

Qiang He, Xinwen Hou

CoRR, 2020

An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing.

Yingying Chen, Xinwen Hou

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

WD3: Taming the Estimation Bias in Deep Reinforcement Learning.

Qiang He, Xinwen Hou

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Stable Training of Bellman Error in Reinforcement Learning.

Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Highway Transformer: Self-Gating Enhanced Self-Attentive Networks.

Yekun Chai, Jin Shuo, Xinwen Hou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning.

Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An

CoRR, 2019

Learning Representations in Reinforcement Learning: An Information Bottleneck Approach.

Yingjun Pei, Xinwen Hou

CoRR, 2019

Exponential Moving Averaged Q-Network for DDPG.

Xiangxiang Shen, Chuanhuan Yin, Yekun Chai, Xinwen Hou

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Mixing Update Q-value for Deep Reinforcement Learning.

Zhunan Li, Xinwen Hou

Proceedings of the International Joint Conference on Neural Networks, 2019

Self-Attention for Deep Reinforcement Learning.

Xiangxiang Shen, Chuanhuan Yin, Xinwen Hou

Proceedings of the 4th International Conference on Mathematics and Artificial Intelligence, 2019

2017

Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test.

Dongdong Wang, Xinwen Hou, Jiawei Xu, Shigang Yue, Cheng-Lin Liu

IEEE Trans. Intell. Transp. Syst., 2017

2016

Exploiting coarse-to-fine mechanism for fine-grained recognition.

Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A saliency-based cascade method for fast traffic sign detection.

Dongdong Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Traffic sign detection from video: A fast approach with tracking.

Dongdong Wang, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Learning Locality Preserving Graph from Data.

Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu

IEEE Trans. Cybern., 2014

2013

A Compact Spatial Feature Representation for Image Classification.

Yinglu Liu, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion.

Xiao-Jie Jin, Qiu-Feng Wang, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012

Insect species recognition using discriminative local soft coding.

An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Multiple Outlooks Learning with Support Vector Machines.

Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

A Hybrid Approach to Detect and Localize Texts in Natural Scene Images.

Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu

IEEE Trans. Image Process., 2011

2010

Regularized margin-based conditional log-likelihood loss for prototype learning.

Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou

Pattern Recognit., 2010

Boosting Incremental Semi-supervised Discriminant Analysis for Tracking.

Heng Wang, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multi-class AdaBoost with Hypothesis Margin.

Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Fast scene text localization by learning-based filtering and verification.

Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou

Proceedings of the International Conference on Image Processing, 2010

Gaussian Process Latent Random Field.

Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Transductive Learning on Adaptive Graphs.

Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Subspace Regularization: A New Semi-supervised Learning Method.

Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Object tracking by bidirectional learning with feature selection.

Heng Wang, Xinwen Hou, Cheng-Lin Liu

Proceedings of the International Conference on Image Processing, 2009

Text Localization in Natural Scene Images Based on Conditional Random Field.

Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu

Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

2008

A pooled subspace mixture density model for pattern classification in high-dimensional spaces.

Xiao-Hua Liu, Cheng-Lin Liu, Xinwen Hou

Proceedings of the International Joint Conference on Neural Networks, 2008

Prototype learning with margin-based conditional log-likelihood loss.

Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Robust System to Detect and Localize Texts in Natural Scene Images.

Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu

Proceedings of the Eighth IAPR International Workshop on Document Analysis Systems, 2008

2006

Learning Boosted Asymmetric Classifiers for Object Detection.

Xinwen Hou, Cheng-Lin Liu, Tieniu Tan

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Recognize Multi-people Interaction Activity by PCA-HMMs.

Ying Wang, Xinwen Hou, Tieniu Tan

Proceedings of the Computer Vision, 2006

2005

Learning multiview face subspaces and facial pose estimation using independent component analysis.

Stan Z. Li, Xiaoguang Lu, Xinwen Hou, Xianhua Peng, QianSheng Cheng

IEEE Trans. Image Process., 2005

An Iris Detection Method Based on Structure Information.

Jiali Cui, Tieniu Tan, Xinwen Hou, Yunhong Wang, Zhuoshi Wei

Proceedings of the Advances in Biometric Person Authentication, 2005

2003

Face alignment using view-based direct appearance models.

Shuicheng Yan, Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng

Int. J. Imaging Syst. Technol., 2003

2002

Multi-View Face Pose Estimation Based on Supervised ISA Learning.

Stan Z. Li, HongJiang Zhang, Xianhuan Peng, Xinwen Hou, QianSheng Cheng

Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002

2001

Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances.

Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Learning Spatially Localized, Parts-Based Representation.

Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Direct Appearance Models.

Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001