| 2025 | ICML | GaussMarker: Robust Dual-Domain Watermark for Diffusion Models. | Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong |
| 2025 | SP | From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. | Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang |
| 2024 | ECCV | DAS3D: Dual-Modality Anomaly Synthesis for 3D Anomaly Detection. | Kecen Li, Bingquan Dai, Jingjing Fu, Xinwen Hou |
| 2024 | ICASSP | MEPE: A Minimalist Ensemble Policy Evaluation Operator for Deep Reinforcement Learning. | Qiang He, Xinwen Hou |
| 2024 | SP | 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 |
| 2023 | CVPR | Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning. | Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou |
| 2023 | ICCV | Template-guided Hierarchical Feature Restoration for Anomaly Detection. | Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou |
| 2022 | ACSAC | 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 |
| 2022 | ICASSP | POPO: Pessimistic Offline Policy Optimization. | Qiang He, Xinwen Hou, Yu Liu |
| 2022 | IJCNN | Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. | Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Liu |
| 2020 | ACL | Highway Transformer: Self-Gating Enhanced Self-Attentive Networks. | Yekun Chai, Jin Shuo, Xinwen Hou |
| 2020 | ICONIP | Stable Training of Bellman Error in Reinforcement Learning. | Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji |
| 2020 | IJCNN | An Improvement based on Wasserstein GAN for Alleviating Mode Collapsing. | Yingying Chen, Xinwen Hou |
| 2020 | ICTAI | WD3: Taming the Estimation Bias in Deep Reinforcement Learning. | Qiang He, Xinwen Hou |
| 2019 | IJCNN | Mixing Update Q-value for Deep Reinforcement Learning. | Zhunan Li, Xinwen Hou |
| 2016 | ICIP | Exploiting coarse-to-fine mechanism for fine-grained recognition. | Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou, Cheng-Lin Liu |
| 2012 | ICONIP | Multiple Outlooks Learning with Support Vector Machines. | Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu |
| 2012 | ICPR | Insect species recognition using discriminative local soft coding. | An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen |
| 2010 | AAAI | Transductive Learning on Adaptive Graphs. | Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou |
| 2010 | AAAI | Gaussian Process Latent Random Field. | Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu |
| 2010 | ICIP | Fast scene text localization by learning-based filtering and verification. | Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou |
| 2010 | ICPR | Multi-class AdaBoost with Hypothesis Margin. | Xiaobo Jin, Xinwen Hou, Cheng-Lin Liu |
| 2010 | ICPR | Boosting Incremental Semi-supervised Discriminant Analysis for Tracking. | Heng Wang, Xinwen Hou, Cheng-Lin Liu |
| 2009 | ICDAR | Text Localization in Natural Scene Images Based on Conditional Random Field. | Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu |
| 2009 | ICIP | Object tracking by bidirectional learning with feature selection. | Heng Wang, Xinwen Hou, Cheng-Lin Liu |
| 2008 | DAS | A Robust System to Detect and Localize Texts in Natural Scene Images. | Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu |
| 2008 | ICPR | Prototype learning with margin-based conditional log-likelihood loss. | Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou |
| 2008 | IJCNN | A pooled subspace mixture density model for pattern classification in high-dimensional spaces. | Xiao-Hua Liu, Cheng-Lin Liu, Xinwen Hou |
| 2006 | ACCV | Recognize Multi-people Interaction Activity by PCA-HMMs. | Ying Wang, Xinwen Hou, Tieniu Tan |
| 2006 | CVPR | Learning Boosted Asymmetric Classifiers for Object Detection. | Xinwen Hou, Cheng-Lin Liu, Tieniu Tan |
| 2001 | CVPR | Direct Appearance Models. | Xinwen Hou, Stan Z. Li, HongJiang Zhang, QianSheng Cheng |
| 2001 | CVPR | Learning Spatially Localized, Parts-Based Representation. | Stan Z. Li, Xinwen Hou, HongJiang Zhang, QianSheng Cheng |
| 2001 | ICCV | 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 |