Xinwen Hou - RankMe

75 papers A* 11A 5B 14Misc 2Journal 27Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Q-Hawkeye: Reliable Visual Policy Optimization for Image Quality Assessment. CoRR Wulin Xie, Rui Dai, Ruidong Ding, Kaikui Liu, Xiangxiang Chu, Xinwen Hou, Jie Wen
2025	A*	`conf`	From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. SP Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2025	J	`jnl`	From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. CoRR Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2025	A*	`conf`	GaussMarker: Robust Dual-Domain Watermark for Diffusion Models. ICML Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong
2025	J	`jnl`	GaussMarker: Robust Dual-Domain Watermark for Diffusion Models. CoRR Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	—	`conf`	DAS3D: Dual-Modality Anomaly Synthesis for 3D Anomaly Detection. ECCV Workshops (4) Kecen Li, Bingquan Dai, Jingjing Fu, Xinwen Hou
2024	J	`jnl`	DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection. CoRR Kecen Li, Bingquan Dai, Jingjing Fu, Xinwen Hou
2024	A	`conf`	GAN Inversion for Image Editing via Unsupervised Domain Adaptation. ICME Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu
2024	Misc	`conf`	MEPE: A Minimalist Ensemble Policy Evaluation Operator for Deep Reinforcement Learning. ICASSP Qiang He, Xinwen Hou
2024	A*	`conf`	PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining. USENIX Security Symposium Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2023	A	`conf`	Centralized Cooperative Exploration Policy for Continuous Control Tasks. AAMAS Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
2023	J	`jnl`	Centralized Cooperative Exploration Policy for Continuous Control Tasks. CoRR Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
2023	A*	`conf`	Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. CVPR Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou
2023	A*	`conf`	Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control. NeurIPS Chao Li, Chen Gong, Qiang He, Xinwen Hou
2023	J	`jnl`	Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control. CoRR Chao Li, Chen Gong, Qiang He, Xinwen Hou
2023	J	`jnl`	Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query. CoRR Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2023	J	`jnl`	Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning. CoRR Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou
2023	A*	`conf`	Template-guided Hierarchical Feature Restoration for Anomaly Detection. ICCV Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou
2022	J	`jnl`	ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods. Sensors Chenghao Li, Yuhui Fu, Ruihong Ouyang, Yu Liu, Xinwen Hou
2022	B	`conf`	Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. IJCNN Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Liu
2022	A	`conf`	Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	Misc	`conf`	POPO: Pessimistic Offline Policy Optimization. ICASSP Qiang He, Xinwen Hou, Yu Liu
2022	J	`jnl`	Representation Gap in Deep Reinforcement Learning. CoRR Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou
2022	J	`jnl`	Unsupervised Domain Adaptation GAN Inversion for Image Editing. CoRR Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu
2021	J	`jnl`	Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework. CoRR Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan
2021	J	`jnl`	LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders. CoRR Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
2021	J	`jnl`	MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning. CoRR Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu
2021	—	`conf`	Minimizing Wasserstein-1 Distance by Quantile Regression for GANs Model. PRCV (4) Yingying Chen, Xinwen Hou, Yu Liu
2021	J	`jnl`	Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning. CoRR Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou
2021	A	`conf`	Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games. ICME Chen Gong, Qiang He, Yunpeng Bai, Xinwen Hou, Guoliang Fan, Yu Liu
2020	B	`conf`	An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing. IJCNN Yingying Chen, Xinwen Hou
2020	A*	`conf`	Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. ACL Yekun Chai, Jin Shuo, Xinwen Hou
2020	J	`jnl`	Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. CoRR Yekun Chai, Jin Shuo, Xinwen Hou
2020	J	`jnl`	POPO: Pessimistic Offline Policy Optimization. CoRR Qiang He, Xinwen Hou
2020	J	`jnl`	Reducing Estimation Bias via Weighted Delayed Deep Deterministic Policy Gradient. CoRR Qiang He, Xinwen Hou
2020	—	`conf`	Stable Training of Bellman Error in Reinforcement Learning. ICONIP (5) Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji
2020	B	`conf`	WD3: Taming the Estimation Bias in Deep Reinforcement Learning. ICTAI Qiang He, Xinwen Hou
2019	—	`conf`	Exponential Moving Averaged Q-Network for DDPG. PRCV (1) Xiangxiang Shen, Chuanhuan Yin, Yekun Chai, Xinwen Hou
2019	J	`jnl`	Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An
2019	J	`jnl`	Learning Representations in Reinforcement Learning: An Information Bottleneck Approach. CoRR Yingjun Pei, Xinwen Hou
2019	B	`conf`	Mixing Update Q-value for Deep Reinforcement Learning. IJCNN Zhunan Li, Xinwen Hou
2019	—	`conf`	Self-Attention for Deep Reinforcement Learning. ICMAI Xiangxiang Shen, Chuanhuan Yin, Xinwen Hou
2017	J	`jnl`	Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test. IEEE Trans. Intell. Transp. Syst. Dongdong Wang, Xinwen Hou, Jiawei Xu, Shigang Yue, Cheng-Lin Liu
2016	B	`conf`	Exploiting coarse-to-fine mechanism for fine-grained recognition. ICIP Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou, Cheng-Lin Liu
2015	B	`conf`	A saliency-based cascade method for fast traffic sign detection. Intelligent Vehicles Symposium Dongdong Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu
2015	—	`conf`	Traffic sign detection from video: A fast approach with tracking. ACPR Dongdong Wang, Xinwen Hou, Cheng-Lin Liu
2014	J	`jnl`	Learning Locality Preserving Graph from Data. IEEE Trans. Cybern. Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu
2013	—	`conf`	A Compact Spatial Feature Representation for Image Classification. ACPR Yinglu Liu, Xinwen Hou, Cheng-Lin Liu
2013	—	`conf`	Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion. ACPR Xiao-Jie Jin, Qiu-Feng Wang, Xinwen Hou, Cheng-Lin Liu
2012	B	`conf`	Insect species recognition using discriminative local soft coding. ICPR An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen
2012	—	`conf`	Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu
2011	J	`jnl`	A Hybrid Approach to Detect and Localize Texts in Natural Scene Images. IEEE Trans. Image Process. Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
2010	B	`conf`	Boosting Incremental Semi-supervised Discriminant Analysis for Tracking. ICPR Heng Wang, Xinwen Hou, Cheng-Lin Liu
2010	B	`conf`	Fast scene text localization by learning-based filtering and verification. ICIP Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou
2010	A*	`conf`	Gaussian Process Latent Random Field. AAAI Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu
2010	B	`conf`	Multi-class AdaBoost with Hypothesis Margin. ICPR Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu
2010	J	`jnl`	Regularized margin-based conditional log-likelihood loss for prototype learning. Pattern Recognit. Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou
2010	A*	`conf`	Transductive Learning on Adaptive Graphs. AAAI Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou
2009	B	`conf`	Object tracking by bidirectional learning with feature selection. ICIP Heng Wang, Xinwen Hou, Cheng-Lin Liu
2009	—	`conf`	Subspace Regularization: A New Semi-supervised Learning Method. ECML/PKDD (2) Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu
2009	A	`conf`	Text Localization in Natural Scene Images Based on Conditional Random Field. ICDAR Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
2008	B	`conf`	A Robust System to Detect and Localize Texts in Natural Scene Images. Document Analysis Systems Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
2008	B	`conf`	A pooled subspace mixture density model for pattern classification in high-dimensional spaces. IJCNN Xiao-Hua Liu, Cheng-Lin Liu, Xinwen Hou
2008	B	`conf`	Prototype learning with margin-based conditional log-likelihood loss. ICPR Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou
2006	—	`conf`	Learning Boosted Asymmetric Classifiers for Object Detection. CVPR (1) Xinwen Hou, Cheng-Lin Liu, Tieniu Tan
2006	—	`conf`	Recognize Multi-people Interaction Activity by PCA-HMMs. ACCV (1) Ying Wang, Xinwen Hou, Tieniu Tan
2005	—	`conf`	An Iris Detection Method Based on Structure Information. IWBRS Jiali Cui, Tieniu Tan, Xinwen Hou, Yunhong Wang, Zhuoshi Wei
2005	J	`jnl`	Learning multiview face subspaces and facial pose estimation using independent component analysis. IEEE Trans. Image Process. Stan Z. Li, Xiaoguang Lu, Xinwen Hou, Xianhua Peng, QianSheng Cheng
2003	J	`jnl`	Face alignment using view-based direct appearance models. Int. J. Imaging Syst. Technol. Shuicheng Yan, Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng
2002	—	`conf`	Multi-View Face Pose Estimation Based on Supervised ISA Learning. FGR Stan Z. Li, HongJiang Zhang, Xianhuan Peng, Xinwen Hou, QianSheng Cheng
2001	—	`conf`	Direct Appearance Models. CVPR (1) Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng
2001	A*	`conf`	Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances. ICCV Stan Z. Li, Jie Yan, Xinwen Hou, Zeyu Li, HongJiang Zhang
2001	—	`conf`	Learning Spatially Localized, Parts-Based Representation. CVPR (1) Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng