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2020 – today
- 2024
[c45]Qiang He, Xinwen Hou:
MEPE: A Minimalist Ensemble Policy Evaluation Operator for Deep Reinforcement Learning. ICASSP 2024: 6970-6974- [c44]Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu:
GAN Inversion for Image Editing via Unsupervised Domain Adaptation. ICME 2024: 1-6 - [c43]Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang:
Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP 2024: 2086-2104 - [c42]Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang:
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining. USENIX Security Symposium 2024 - 2023
- [c41]Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu:
Centralized Cooperative Exploration Policy for Continuous Control Tasks. AAMAS 2023: 2454-2456 - [c40]Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou:
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. CVPR 2023: 20215-20225 - [c39]Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou:
Template-guided Hierarchical Feature Restoration for Anomaly Detection. ICCV 2023: 6424-6435 - [c38]Chao Li, Chen Gong, Qiang He, Xinwen Hou:
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control. NeurIPS 2023 - [i16]Chao Li, Chen Gong, Qiang He
, Xinwen Hou, Yu Liu:
Centralized Cooperative Exploration Policy for Continuous Control Tasks. CoRR abs/2301.02375 (2023) - [i15]Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou:
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning. CoRR abs/2304.00252 (2023) - [i14]Chao Li, Chen Gong, Qiang He, Xinwen Hou:
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control. CoRR abs/2310.11138 (2023) - [i13]Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang:
Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query. CoRR abs/2311.12850 (2023) - 2022
- [j7]Chenghao Li, Yuhui Fu, Ruihong Ouyang, Yu Liu, Xinwen Hou:
ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods. Sensors 22(17): 6506 (2022) - [c37]Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan:
Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC 2022: 186-200 - [c36]Qiang He, Xinwen Hou, Yu Liu:
POPO: Pessimistic Offline Policy Optimization. ICASSP 2022: 4008-4012 - [c35]Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Lu:
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. IJCNN 2022: 1-8 - [i12]Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou:
Representation Gap in Deep Reinforcement Learning. CoRR abs/2205.14557 (2022) - [i11]Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo:
Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR abs/2210.04688 (2022) - [i10]Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu:
Unsupervised Domain Adaptation GAN Inversion for Image Editing. CoRR abs/2211.12123 (2022) - 2021
- [c34]Chen Gong, Qiang He, Yunpeng Bai, Xinwen Hou, Guoliang Fan, Yu Liu:
Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games. ICME 2021: 1-6 - [c33]Yingying Chen, Xinwen Hou, Yu Liu:
Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model. PRCV (4) 2021: 128-139 - [i9]Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu:
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning. CoRR abs/2109.10552 (2021) - [i8]Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu:
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders. CoRR abs/2109.10640 (2021) - [i7]Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan:
Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework. CoRR abs/2109.11867 (2021) - [i6]Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou:
Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning. CoRR abs/2112.06771 (2021) - 2020
- [c32]Yekun Chai, Jin Shuo, Xinwen Hou:
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. ACL 2020: 6887-6900 - [c31]Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji:
Stable Training of Bellman Error in Reinforcement Learning. ICONIP (5) 2020: 439-448 - [c30]Qiang He, Xinwen Hou:
WD3: Taming the Estimation Bias in Deep Reinforcement Learning. ICTAI 2020: 391-398 - [c29]Yingying Chen, Xinwen Hou:
An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing. IJCNN 2020: 1-7 - [i5]Yekun Chai, Jin Shuo, Xinwen Hou:
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. CoRR abs/2004.08178 (2020) - [i4]Qiang He, Xinwen Hou:
Reducing Estimation Bias via Weighted Delayed Deep Deterministic Policy Gradient. CoRR abs/2006.12622 (2020) - [i3]Qiang He, Xinwen Hou:
POPO: Pessimistic Offline Policy Optimization. CoRR abs/2012.13682 (2020)
2010 – 2019
- 2019
- [c28]Xiangxiang Shen, Chuanhuan Yin, Xinwen Hou:
Self-Attention for Deep Reinforcement Learning. ICMAI 2019: 71-75 - [c27]Zhunan Li, Xinwen Hou:
Mixing Update Q-value for Deep Reinforcement Learning. IJCNN 2019: 1-6 - [c26]Xiangxiang Shen, Chuanhuan Yin, Yekun Chai, Xinwen Hou:
Exponential Moving Averaged Q-Network for DDPG. PRCV (1) 2019: 562-572 - [i2]Yingjun Pei, Xinwen Hou:
Learning Representations in Reinforcement Learning: An Information Bottleneck Approach. CoRR abs/1911.05695 (2019) - [i1]Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An:
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR abs/1911.07712 (2019) - 2017
- [j6]Dongdong Wang, Xinwen Hou, Jiawei Xu, Shigang Yue, Cheng-Lin Liu:
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test. IEEE Trans. Intell. Transp. Syst. 18(12): 3290-3302 (2017) - 2016
- [c25]Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou, Cheng-Lin Liu:
Exploiting coarse-to-fine mechanism for fine-grained recognition. ICIP 2016: 649-653 - 2015
- [c24]Dongdong Wang, Xinwen Hou, Cheng-Lin Liu:
Traffic sign detection from video: A fast approach with tracking. ACPR 2015: 96-100 - [c23]Dongdong Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu:
A saliency-based cascade method for fast traffic sign detection. Intelligent Vehicles Symposium 2015: 180-185 - 2014
- [j5]Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Learning Locality Preserving Graph from Data. IEEE Trans. Cybern. 44(11): 2088-2098 (2014) - 2013
- [c22]Xiao-Jie Jin, Qiu-Feng Wang, Xinwen Hou, Cheng-Lin Liu:
Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion. ACPR 2013: 120-124 - [c21]Yinglu Liu, Xinwen Hou, Cheng-Lin Liu:
A Compact Spatial Feature Representation for Image Classification. ACPR 2013: 601-605 - 2012
- [c20]Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu:
Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) 2012: 116-124 - [c19]An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen:
Insect species recognition using discriminative local soft coding. ICPR 2012: 1221-1224 - 2011
- [j4]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
A Hybrid Approach to Detect and Localize Texts in Natural Scene Images. IEEE Trans. Image Process. 20(3): 800-813 (2011) - 2010
- [j3]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Regularized margin-based conditional log-likelihood loss for prototype learning. Pattern Recognit. 43(7): 2428-2438 (2010) - [c18]Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou:
Transductive Learning on Adaptive Graphs. AAAI 2010: 661-666 - [c17]Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu:
Gaussian Process Latent Random Field. AAAI 2010: 679-684 - [c16]Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou:
Fast scene text localization by learning-based filtering and verification. ICIP 2010: 2269-2272 - [c15]Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu:
Multi-class AdaBoost with Hypothesis Margin. ICPR 2010: 65-68 - [c14]Heng Wang, Xinwen Hou, Cheng-Lin Liu:
Boosting Incremental Semi-supervised Discriminant Analysis for Tracking. ICPR 2010: 2748-2751
2000 – 2009
- 2009
- [c13]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
Text Localization in Natural Scene Images Based on Conditional Random Field. ICDAR 2009: 6-10 - [c12]Heng Wang, Xinwen Hou, Cheng-Lin Liu:
Object tracking by bidirectional learning with feature selection. ICIP 2009: 893-896 - [c11]Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu:
Subspace Regularization: A New Semi-supervised Learning Method. ECML/PKDD (2) 2009: 586-601 - 2008
- [c10]Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu:
A Robust System to Detect and Localize Texts in Natural Scene Images. Document Analysis Systems 2008: 35-42 - [c9]Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou:
Prototype learning with margin-based conditional log-likelihood loss. ICPR 2008: 1-4 - [c8]Xiao-Hua Liu, Cheng-Lin Liu, Xinwen Hou:
A pooled subspace mixture density model for pattern classification in high-dimensional spaces. IJCNN 2008: 2466-2471 - 2006
- [c7]Ying Wang, Xinwen Hou, Tieniu Tan:
Recognize Multi-people Interaction Activity by PCA-HMMs. ACCV (1) 2006: 160-169 - [c6]Xinwen Hou, Cheng-Lin Liu, Tieniu Tan:
Learning Boosted Asymmetric Classifiers for Object Detection. CVPR (1) 2006: 330-338 - 2005
- [j2]Stan Z. Li, Xiaoguang Lu, Xinwen Hou, Xianhua Peng, QianSheng Cheng:
Learning multiview face subspaces and facial pose estimation using independent component analysis. IEEE Trans. Image Process. 14(6): 705-712 (2005) - [c5]Jiali Cui, Tieniu Tan, Xinwen Hou, Yunhong Wang, Zhuoshi Wei:
An Iris Detection Method Based on Structure Information. IWBRS 2005: 157-164 - 2003
- [j1]Shuicheng Yan, Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng:
Face alignment using view-based direct appearance models. Int. J. Imaging Syst. Technol. 13(1): 106-112 (2003) - 2002
- [c4]Stan Z. Li, HongJiang Zhang, Xianhuan Peng, Xinwen Hou, QianSheng Cheng:
Multi-View Face Pose Estimation Based on Supervised ISA Learning. FGR 2002: 107-112 - 2001
- [c3]Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng:
Learning Spatially Localized, Parts-Based Representation. CVPR (1) 2001: 207-212 - [c2]Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng:
Direct Appearance Models. CVPR (1) 2001: 828-833 - [c1]Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang:
Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances. ICCV 2001: 635-640
Coauthor Index
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last updated on 2024-10-08 21:26 CEST by the dblp team
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