Yonggang Zhang
- Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
2022/02/11 by Yongqiang Chen, Chen, Yongqiang, Yonggang Zhang +15 · 12 citations
Environmental Science · Computer Science · Medicine · #Health, Environment, Cognitive Aging #Machine Learning in Healthcare #Data-Driven Disease Surveillance
- The prevalence of compassion satisfaction and compassion fatigue among nurses: A systematic review and meta-analysis
2021/05/15 by Wanqing Xie, Lingmin Chen, Fen Feng +6 · 28 citations
Health Professions · Nursing · Psychology · #Healthcare professionals’ stress and burnout #Nursing education and management #Mindfulness and Compassion Interventions
- From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
2024/09/03 by Wei Chen, Zhen Huang, Chen, Wei +21 · 15 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
- Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
2022/02/16 by Yongqiang Chen, Han Yang, Chen, Yongqiang +11 · 6 citations
Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Interpreting and Improving Large Language Models in Arithmetic Calculation
2024/09/03 by Wei Zhang, Chaoqun Wan, Zhang, Wei +11 · 8 citations
Computer Science · Social Sciences · #Mathematics, Computing, and Information Processing #Mathematics Education and Teaching Techniques
- Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
2024/02/23 by Rong Dai, Dai, Rong, Yonggang Zhang +9 · 4 citations
Computer Science · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Learning to Augment Distributions for Out-of-Distribution Detection
2023/11/03 by Qizhou Wang, Wang, Qizhou, Zhen Fang +9 · 3 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
2026/05/21 by Qianshu Cai, Yonggang Zhang, Xianzhang Jia +5 · 1 voice
#cs.AI #cs.LG
- Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
2022/06/15 by Yongqiang Chen, Chen, Yongqiang, Kaiwen Zhou +17 · 2 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
- ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
2024/02/27 by Bo Peng, Yadan Luo, Peng, Bo +7 · 3 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
2022/06/06 by Zhenheng Tang, Tang, Zhenheng, Yonggang Zhang +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
2024/11/04 by Yuxin Xiao, Xiao, Yuxin, Chaoqun Wan +13 · 2 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cloud Data Security Solutions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Security and Verification in Computing
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
2024/10/27 by Zhenheng Tang, Tang, Zhenheng, Yonggang Zhang +11 · 2 citations
Computer Science · #Privacy-Preserving Technologies in Data
- Hard Sample Matters a Lot in Zero-Shot Quantization
2023/03/24 by Huantong Li, Xiangmiao Wu, Li, Huantong +13 · 1 citation
Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Medical Imaging Techniques and Applications
- Moderately Distributional Exploration for Domain Generalization
2023/04/27 by Rui Dai, Dai, Rui, Yonggang Zhang +7 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Robust Training of Federated Models with Extremely Label Deficiency
2024/02/22 by Yonggang Zhang, Z. Q. Yang, Zhang, Yonggang +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Privacy-Preserving Technologies in Data
- Zero2Skill: Bootstrapping Robot Skills through Autonomous Data Collection, Training, and Deployment
2026/07/15 by Boyuan Wang, Zhenyuan Zhang, Zhiqin Yang +16
#cs.RO #cs.HC #cs.SY #eess.SY
- DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments
2026/07/19 by Jun Nie, Zhiqin Yang, Zhenheng Tang +4
#cs.LG #cs.CL #cs.IR