Discriminative Model Selection for Belief Net Structures. - Yuhong Guo; Russell Greiner (AAAI, 2005)

Learning Coordination Classifiers. - Yuhong Guo; Russell Greiner; Dale Schuurmans (IJCAI, 2005)

Maximum Margin Bayesian Networks. - Yuhong Guo; Dana F. Wilkinson; Dale Schuurmans (UAI, 2005)

Metric-Based Approaches for Semi-Supervised Regression and Classification. - Dale Schuurmans; Finnegan Southey; Dana F. Wilkinson; Yuhong Guo (Semi-Supervised Learning, 2006)

A FP-Tree-Based Method for Inverse Frequent Set Mining. - Yuhong Guo; Yunhai Tong; Shiwei Tang; Dongqing Yang (BNCOD, 2006)

Triple-driven data modeling methodology in data warehousing: a case study. - Yuhong Guo; Shiwei Tang; Yunhai Tong; Dongqing Yang (DOLAP, 2006)

Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering. - Yuhong Guo; Dale Schuurmans (UAI, 2006)

Optimistic Active-Learning Using Mutual Information. - Yuhong Guo; Russell Greiner (IJCAI, 2007)

Discriminative Batch Mode Active Learning. - Yuhong Guo; Dale Schuurmans (NIPS, 2007)

Convex Relaxations of Latent Variable Training. - Yuhong Guo; Dale Schuurmans (NIPS, 2007)

Learning Gene Regulatory Networks via Globally Regularized Risk Minimization. - Yuhong Guo; Dale Schuurmans (RECOMB-CG, 2007)

Efficient global optimization for exponential family PCA and low-rank matrix factorization. - Yuhong Guo; Dale Schuurmans (Allerton, 2008)

Supervised Exponential Family Principal Component Analysis via Convex Optimization. - Yuhong Guo (NIPS, 2008)

Max-margin Multiple-Instance Learning via Semidefinite Programming. - Yuhong Guo (ACML, 2009)

A Reformulation of Support Vector Machines for General Confidence Functions. - Yuhong Guo; Dale Schuurmans (ACML, 2009)

Prediction of Attributes and Links in Temporal Social Networks. - Vladimir Ouzienko; Yuhong Guo; Zoran Obradovic (ECAI, 2010)

Regression Learning with Multiple Noisy Oracles. - Kosta Ristovski; Debasish Das; Vladimir Ouzienko; Yuhong Guo; Zoran Obradovic (ECAI, 2010)

Active Instance Sampling via Matrix Partition. - Yuhong Guo (NIPS, 2010)

Credit card customer analysis based on panel data clustering. - Guangli Nie; Yibing Chen; Lingling Zhang 001; Yuhong Guo (ICCS, 2010)

Quantization Index Modulation audio watermarking system using a psychoacoustic model. - Xuemin Zhao; Yuhong Guo; Jian Liu; Yonghong Yan 002 (ICICS, 2011)

Adaptive Large Margin Training for Multilabel Classification. - Yuhong Guo; Dale Schuurmans (AAAI, 2011)

Making Many People Happy: Greedy Solutions for Content Distribution. - Yunsheng Wang; Yuhong Guo; Jie Wu 001 (ICPP, 2011)

A Spread Spectrum Audio Watermarking System with High Perceptual Quality. - Xuemin Zhao; Yuhong Guo; Jian Liu; Yonghong Yan 002 (CMC, 2011)

Multi-Label Classification Using Conditional Dependency Networks. - Yuhong Guo; Suicheng Gu (IJCAI, 2011)

A decoupled exponential random graph model for prediction of structure and attributes in temporal social networks. - Vladimir Ouzienko; Yuhong Guo; Zoran Obradovic (Stat. Anal. Data Min., 2011)

Learning SVM Classifiers with Indefinite Kernels. - Suicheng Gu; Yuhong Guo (AAAI, 2012)

Semi-Supervised Kernel Matching for Domain Adaptation. - Min Xiao 004; Yuhong Guo (AAAI, 2012)

An Object Co-occurrence Assisted Hierarchical Model for Scene Understanding. - Xin Li 013; Yuhong Guo (BMVC, 2012)

Dynamic Grouping Strategy in Cloud Computing. - Qin Liu 001; Yuhong Guo; Jie Wu 001; Guojun Wang 001 (CGC, 2012)

Multi-View AdaBoost for Multilingual Subjectivity Analysis. - Min Xiao 004; Yuhong Guo (COLING, 2012)

Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks. - Min Xiao 004; Yuhong Guo; Alexander Yates (COLING, 2012)

Optimized large vocabulary WFST speech recognition system. - Yuhong Guo; Ta Li; Yujing Si; Jielin Pan; Yonghong Yan 002 (FSKD, 2012)

Personalized Tweet Ranking Based on AHP: A Case Study of Micro-blogging Message Ranking in T.Sina. - Yuhong Guo; Li Kang; Tie Shi (Web Intelligence/IAT Workshops, 2012)

Transductive Representation Learning for Cross-Lingual Text Classification. - Yuhong Guo; Min Xiao 004 (ICDM, 2012)

Cross Language Text Classification via Subspace Co-regularized Multi-view Learning . - Yuhong Guo; Min Xiao 004 (ICML, 2012)

Semi-supervised Multi-label Classification - A Simultaneous Large-Margin, Subspace Learning Approach. - Yuhong Guo; Dale Schuurmans (ECML/PKDD (2), 2012)

Logarithmic Adaptive Quantization Projection for Audio Watermarking. - Xuemin Zhao; Yuhong Guo; Jian Liu; Yonghong Yan 002; Qiang Fu 001 (IEICE Trans. Inf. Syst., 2012)

Max-Margin Ratio Machine. - Suicheng Gu; Yuhong Guo (ACML, 2012)

Convex Subspace Representation Learning from Multi-View Data. - Yuhong Guo (AAAI, 2013)

Online Active Learning for Cost Sensitive Domain Adaptation. - Min Xiao 004; Yuhong Guo (CoNLL, 2013)

Adaptive Active Learning for Image Classification. - Xin Li 013; Yuhong Guo (CVPR, 2013)

Semi-Supervised Representation Learning for Cross-Lingual Text Classification. - Min Xiao 004; Yuhong Guo (EMNLP, 2013)

Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering. - Min Xiao 004; Feipeng Zhao; Yuhong Guo (EMNLP, 2013)

Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model. - Min Xiao 004; Yuhong Guo (ICML (1), 2013)

Probabilistic Multi-Label Classification with Sparse Feature Learning. - Yuhong Guo; Wei Xue (IJCAI, 2013)

Active Learning with Multi-Label SVM Classification. - Xin Li 013; Yuhong Guo (IJCAI, 2013)

Robust Transfer Principal Component Analysis with Rank Constraints. - Yuhong Guo (NIPS, 2013)

A Novel Two-Step Method for Cross Language Representation Learning. - Min Xiao 004; Yuhong Guo (NIPS, 2013)

Multi-label Classification with Output Kernels. - Yuhong Guo; Dale Schuurmans (ECML/PKDD (2), 2013)

MS-kNN: protein function prediction by integrating multiple data sources. - Liang Lan; Nemanja Djuric; Yuhong Guo; Slobodan Vucetic (BMC Bioinform., 2013)

Mixing-attack-proof Randomized Embedding Audio Watermarking System. - Yuhong Guo; Qingsheng Yuan; Xuemin Zhao; Jian Liu; Yonghong Yan 002 (J. Comput., 2013)

Convex Co-embedding. - Farzaneh Mirzazadeh; Yuhong Guo; Dale Schuurmans (AAAI, 2014)

Semi-Supervised Matrix Completion for Cross-Lingual Text Classification. - Min Xiao 004; Yuhong Guo (AAAI, 2014)

Distributed Word Representation Learning for Cross-Lingual Dependency Parsing. - Min Xiao 004; Yuhong Guo (CoNLL, 2014)

Multi-level Adaptive Active Learning for Scene Classification. - Xin Li 013; Yuhong Guo (ECCV (7), 2014)

Latent Semantic Representation Learning for Scene Classification. - Xin Li 013; Yuhong Guo (ICML, 2014)

Bi-directional Representation Learning for Multi-label Classification. - Xin Li 013; Yuhong Guo (ECML/PKDD (2), 2014)

Multi-label Image Classification with A Probabilistic Label Enhancement Model. - Xin Li 013; Feipeng Zhao; Yuhong Guo (UAI, 2014)

Learning Representations for Weakly Supervised Natural Language Processing Tasks. - Fei Huang 008; Arun Ahuja; Doug Downey; Yi Yang 042; Yuhong Guo; Alexander Yates (Comput. Linguistics, 2014)

Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation. - Min Xiao 004; Yuhong Guo (ACL (2), 2015)

Max-Margin Zero-Shot Learning for Multi-class Classification. - Xin Li 013; Yuhong Guo (AISTATS, 2015)

Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. - Xin Li 013; Feipeng Zhao; Yuhong Guo (AISTATS, 2015)

Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing. - Min Xiao 004; Yuhong Guo (CoNLL, 2015)

Semi-Supervised Zero-Shot Classification with Label Representation Learning. - Xin Li 013; Yuhong Guo; Dale Schuurmans (ICCV, 2015)

Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation. - Xin Li 013; Yuhong Guo (IJCAI, 2015)

Semi-Supervised Multi-Label Learning with Incomplete Labels. - Feipeng Zhao; Yuhong Guo (IJCAI, 2015)

Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation. - Min Xiao 004; Yuhong Guo (ECML/PKDD (2), 2015)

Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching. - Min Xiao 004; Yuhong Guo (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Improving Top-N Recommendation with Heterogeneous Loss. - Feipeng Zhao; Yuhong Guo (IJCAI, 2016)

Predictive Collaborative Filtering with Side Information. - Feipeng Zhao; Min Xiao 004; Yuhong Guo (IJCAI, 2016)

Convex Co-Embedding for Matrix Completion with Predictive Side Information. - Yuhong Guo (AAAI, 2017)

Labelless Scene Classification with Semantic Matching. - Meng Ye 002; Yuhong Guo (BMVC, 2017)

Zero-Shot Classification with Discriminative Semantic Representation Learning. - Meng Ye 002; Yuhong Guo (CVPR, 2017)

Efficient stripmap SAR RAW data generation accounting for trajectory deviation and antenna pointing errors at a nonzero squint angle. - Yuhua Guo; Xiaohan Liao; Huanyin Yue; Yan Hao; Yuhong Guo (IGARSS, 2017)

Incomplete Attribute Learning with auxiliary labels. - Kongming Liang; Yuhong Guo; Hong Chang 001; Xilin Chen 001 (IJCAI, 2017)

Learning Discriminative Recommendation Systems with Side Information. - Feipeng Zhao; Yuhong Guo (IJCAI, 2017)

Effective Query Grouping Strategy in Clouds. - Qin Liu 001; Yuhong Guo; Jie Wu 001; Guojun Wang 001 (J. Comput. Sci. Technol., 2017)

Visual Relationship Detection With Deep Structural Ranking. - Kongming Liang; Yuhong Guo; Hong Chang 001; Xilin Chen 001 (AAAI, 2018)

Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. - Chen Shen; Yuhong Guo (ACML, 2018)

Matrix completion with Preference Ranking for Top-N Recommendation. - Zengmao Wang; Yuhong Guo; Bo Du 001 (IJCAI, 2018)

Brain Status Prediction with Non-negative Projective Dictionary Learning. - Mingli Zhang; Christian Desrosiers; Yuhong Guo; Caiming Zhang 001; Budhachandra S. Khundrakpam; Alan C. Evans (MLMI@MICCAI, 2018)

Deep Triplet Ranking Networks for One-Shot Recognition. - Meng Ye 002; Yuhong Guo (CoRR, 2018)

Self-Training Ensemble Networks for Zero-Shot Image Recognition. - Meng Ye 002; Yuhong Guo (CoRR, 2018)

Progressive Ensemble Networks for Zero-Shot Recognition. - Meng Ye 002; Yuhong Guo (CVPR, 2019)

Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection. - Meng Ye 002; Yuhong Guo (ICIP, 2019)

Modeling and Analysis Brain Development via Discriminative Dictionary Learning. - Mingli Zhang; Yuhong Guo; Caiming Zhang 001; Jean-Baptiste Poline; Alan C. Evans (MLMIR@MICCAI, 2019)

Object Detection in 20 Years: A Survey. - Zhengxia Zou; Zhenwei Shi; Yuhong Guo; Jieping Ye (CoRR, 2019)

Adversarial Partial Multi-Label Learning. - Yan Yan 025; Yuhong Guo (CoRR, 2019)

Learning to Generate Questions with Adaptive Copying Neural Networks. - Xinyuan Lu; Yuhong Guo (CoRR, 2019)

Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis. - He Zhao 002; Huiqi Li; Sebastian Maurer-Stroh; Yuhong Guo; Qiuju Deng; Li Cheng 001 (IEEE Trans. Medical Imaging, 2019)

Dual Adversarial Co-Learning for Multi-Domain Text Classification. - Yuan Wu 002; Yuhong Guo (AAAI, 2020)

Partial Label Learning with Batch Label Correction. - Yan Yan 025; Yuhong Guo (AAAI, 2020)

Inverse Visual Question Answering with Multi-Level Attentions. - Yaser Alwatter; Yuhong Guo (ACML, 2020)

Adaptive Object Detection with Dual Multi-label Prediction. - Zhen Zhao; Yuhong Guo; Haifeng Shen; Jieping Ye (ECCV (28), 2020)

Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. - Zhen Zhao; Yuhong Guo; Jieping Ye (ECCV Workshops (1), 2020)

Time-aware Large Kernel Convolutions. - Vasileios Lioutas; Yuhong Guo (ICML, 2020)

Mutual Learning Network for Multi-Source Domain Adaptation. - Zhenpeng Li; Zhen Zhao; Yuhong Guo; Haifeng Shen; Jieping Ye (CoRR, 2020)

Unsupervised Domain Adaptation with Progressive Domain Augmentation. - Kevin Hua; Yuhong Guo (CoRR, 2020)

Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification. - Bingyu Liu; Zhen Zhao; Zhenpeng Li; Jianan Jiang; Yuhong Guo; Jieping Ye (CoRR, 2020)

Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data. - Zhen Zhao; Bingyu Liu; Yuhong Guo; Jieping Ye (CoRR, 2020)

A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning. - Jianan Jiang; Zhenpeng Li; Yuhong Guo; Jieping Ye (CoRR, 2020)

Domain Adaptation with Incomplete Target Domains. - Zhenpeng Li; Jianan Jiang; Yuhong Guo; Tiantian Tang; Chengxiang Zhuo; Jieping Ye (CoRR, 2020)

Brain status modeling with non-negative projective dictionary learning. - Mingli Zhang; Christian Desrosiers; Yuhong Guo; Budhachandra S. Khundrakpam; Noor Al-Sharif; Gregory Kiar; Pedro A. Valdés-Sosa; Jean-Baptiste Poline; Alan C. Evans (NeuroImage, 2020)

LogDet Metric-Based Domain Adaptation. - Youfa Liu; Bo Du 001; Weiping Tu; Mingming Gong; Yuhong Guo; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Domain Adaptation With Neural Embedding Matching. - Zengmao Wang; Bo Du 001; Yuhong Guo (IEEE Trans. Neural Networks Learn. Syst., 2020)

Adversarial Partial Multi-Label Learning with Label Disambiguation. - Yan Yan 025; Yuhong Guo (AAAI, 2021)

Source-free Unsupervised Domain Adaptation with Surrogate Data Generation. - Yan Hao; Yuhong Guo; Chunsheng Yang (BMVC, 2021)

Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. - Bingyu Liu; Yuhong Guo; Jieping Ye; Weihong Deng (BMVC, 2021)

Toward Lifetime Learning-based Predictive. - Chunsheng Yang; Yuhong Guo; Yubin Yang; Xiaohua Yang (CSCWD, 2021)

Parameterless Transductive Feature Re-representation for Few-Shot Learning. - Wentao Cui; Yuhong Guo (ICML, 2021)

Multi-level Generative Models for Partial Label Learning with Non-random Label Noise. - Yan Yan 025; Yuhong Guo (IJCAI, 2021)

Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. - Bingyu Liu; Yuhong Guo; Jianan Jiang; Jian Tang 008; Weihong Deng (KDD, 2021)

Continual Learning with Dual Regularizations. - Xuejun Han; Yuhong Guo (ECML/PKDD (1), 2021)

A novel method based on node correlation to evaluate the important nodes in complex networks. - Pengli Lu; Chen Dong 006; Yuhong Guo (CoRR, 2021)

Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation. - Hanping Zhang; Yuhong Guo (CoRR, 2021)

Dual GNNs: Graph Neural Network Learning with Limited Supervision. - Abdullah Alchihabi; Yuhong Guo (CoRR, 2021)

Contrastive Continual Learning with Feature Propagation. - Xuejun Han; Yuhong Guo (CoRR, 2021)

Exemplar Learning for Medical Image Segmentation. - Qing En; Yuhong Guo (BMVC, 2022)

Overcoming Catastrophic Forgetting for Continual Learning via Feature Propagation. - Xuejun Han; Yuhong Guo (BMVC, 2022)

Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. - Hao Yan; Yuhong Guo (BMVC, 2022)

Safe Reinforcement Learning with Contrastive Risk Prediction. - Hanping Zhang; Yuhong Guo (CoRR, 2022)

A Unified BRB-Based Framework for Real-Time Health Status Prediction in High-Speed Trains. - Chao Cheng; Yuhong Guo; Jiuhe Wang; Hongtian Chen; Junjie Shao (IEEE Trans. Veh. Technol., 2022)

Learning Robust Graph Neural Networks with Limited Supervision. - Abdullah Alchihabi; Yuhong Guo (AISTATS, 2023)

Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars. - Taoseef Ishtiak; Qing En; Yuhong Guo (CVPR, 2023)

Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. - Xuejun Han; Yuhong Guo (ECAI, 2023)

Improving Word Embedding Using Variational Dropout. - Zainab Albujasim; Diana Inkpen; Xuejun Han; Yuhong Guo (FLAIRS, 2023)

Efficient Low-Rank GNN Defense Against Structural Attacks. - Abdullah Alchihabi; Qing En; Yuhong Guo (ICKG, 2023)

Mutual Partial Label Learning with Competitive Label Noise. - Yan Yan 025; Yuhong Guo (ICLR, 2023)

Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment. - Yan Yan 025; Yuhong Guo (ICLR, 2023)

GDM: Dual Mixup for Graph Classification with Limited Supervision. - Abdullah Alchihabi; Yuhong Guo (ECML/PKDD (3), 2023)

Object Detection in 20 Years: A Survey. - Zhengxia Zou; Keyan Chen 001; Zhenwei Shi; Yuhong Guo; Jieping Ye (Proc. IEEE, 2023)

Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index. - Ning Yang; Zhitao Zhang; Junrui Zhang 011; Yuhong Guo; Xizhen Yang; Guangduo Yu; Xuqian Bai; Junying Chen; Yinwen Chen; Liangsheng Shi; Xianwen Li (Comput. Electron. Agric., 2023)

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. - Yan Yan 025; Yuhong Guo (AAAI, 2024)

Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. - Qing En; Yuhong Guo (AISTATS, 2024)

Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. - Marzi Heidari; Abdullah Alchihabi; Qing En; Yuhong Guo (AISTATS, 2024)

Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. - Abdullah Alchihabi; Marzi Heidari; Yuhong Guo (BMVC, 2024)

Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. - Qing En; Yuhong Guo (BMVC, 2024)

Unsupervised Domain Adaptation for Medical Image Segmentation with Dynamic Prototype-based Contrastive Learning. - Qing En; Yuhong Guo (CHIL, 2024)

Local and Global Flatness for Federated Domain Generalization. - Hao Yan; Yuhong Guo (ECCV (83), 2024)

Research on Exchange Rate Forecasting Based on LSTM-Transformer Fusion Model. - Yihan Zhao; Jiayao Xu; Sida Yang; Yuhong Guo (ICAI (2), 2024)

Reinforcement Learning Guided Semi-Supervised Learning. - Marzi Heidari; Hanping Zhang; Yuhong Guo (NeurIPS, 2024)

AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation. - Qing En; Yuhong Guo (ECML/PKDD (3), 2024)

Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model. - Hao Yan; Yuhong Guo (CoRR, 2024)

Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning. - Marzi Heidari; Hanping Zhang; Yuhong Guo (CoRR, 2024)

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. - Jiale Xu; Rui Zhang; Cong Guo 003; Weiming Hu; Zihan Liu 002; Feiyang Wu; Yu Feng 007; Shixuan Sun; Changxu Shao; Yuhong Guo; Junping Zhao; Ke Zhang; et al. (CoRR, 2024)

LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management. - Yi Xiong 003; Hao Wu; Changxu Shao; Ziqing Wang; Rui Zhang; Yuhong Guo; Junping Zhao; Ke Zhang; Zhenxuan Pan (CoRR, 2024)

Skill-Enhanced Reinforcement Learning Acceleration from Demonstrations. - Hanping Zhang; Yuhong Guo (CoRR, 2024)

Overcoming Class Imbalance: Unified GNN Learning with Structural and Semantic Connectivity Representations. - Abdullah Alchihabi; Hao Yan; Yuhong Guo (CoRR, 2024)

Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling. - Marzi Heidari; Yuhong Guo (AAAI, 2025)

Zero-Shot Action Generalization with Limited Observations. - Abdullah Alchihabi; Hanping Zhang; Yuhong Guo (AISTATS, 2025)

A Unified Framework for Heterogeneous Semi-supervised Learning. - Marzi Heidari; Abdullah Alchihabi; Hao Yan; Yuhong Guo (CVPR, 2025)

Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion. - Abdullah Alchihabi; Yuhong Guo (CoRR, 2025)

Single Domain Generalization with Model-aware Parametric Batch-wise Mixup. - Marzi Heidari; Yuhong Guo (CoRR, 2025)

Single Domain Generalization with Adversarial Memory. - Hao Yan; Marzi Heidari; Yuhong Guo (CoRR, 2025)

Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards. - Hanping Zhang; Yuhong Guo (CoRR, 2025)

Context-Aware Self-Adaptation for Domain Generalization. - Hao Yan; Yuhong Guo (CoRR, 2025)

Skill-based Safe Reinforcement Learning with Risk Planning. - Hanping Zhang; Yuhong Guo (CoRR, 2025)