Jiang, Bei
- Discovery of a metallic room-temperature d-wave altermagnet KV2Se2O
2024/08/01 by Bei Jiang, Mingzhe Hu, Jiang, Bei +41 · 66 citations
Chemistry · Materials Science · #FOS: Physical sciences #Inorganic Chemistry and Materials #Magnetism in coordination complexes #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Organic and Molecular Conductors Research #Strongly Correlated Electrons (cond-mat.str-el) #Superconductivity (cond-mat.supr-con)
- The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure
2022/05/20 by Chen, Xing, Diao, Dongcui, Chen, Hechang +7 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Negative Log Likelihood Ratio Loss for Deep Neural Network Classification
2018/04/27 by Donglai Zhu, Hengshuai Yao, Zhu, Donglai +5 · 4 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
- Conformalized Fairness via Quantile Regression
2022/10/05 by Meichen Liu, Lei Ding, Liu, Meichen +9 · 3 citations
Health Professions · Psychology · Social Sciences · #Computers and Society (cs.CY) #Evolutionary Psychology and Human Behavior #FOS: Computer and information sciences #Global Health Care Issues #Health disparities and outcomes #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
2021/10/17 by Sun, Ke, Wang, Yafei, Liu, Yi +5 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy
2022/10/17 by Yi Liu, Liu, Yi, Ke Sun +5 · 2 citations
Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Vehicular Ad Hoc Networks (VANETs)
- Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
2021/10/07 by Sun, Ke, Zhao, Yingnan, Shi, Enze +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Nonvolatile optical control of interlayer stacking order in 1T-TaS2
2024/05/05 by Liu, Junde, Liu, Pei, Yang, Liu +19 · 2 citations
#FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Strongly Correlated Electrons (cond-mat.str-el)
- Functional Linear Regression for Partially Observed Functional Data
2021/12/17 by Yafei Wang, Tingyu Lai, Wang, Yafei +7 · 1 citation
Medicine · Neuroscience · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Methodology (stat.ME)
- Distributional Reinforcement Learning with Regularized Wasserstein Loss
2022/02/01 by Sun, Ke, Zhao, Yingnan, Liu, Wulong +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
2021/12/09 by Lei Ding, Ding, Lei, Dengdeng Yu +17 · 1 citation
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?
2022/09/29 by Sun, Ke, Jiang, Bei, Kong, Linglong · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Online Local Differential Private Quantile Inference via Self-normalization
2023/06/17 by Yi Liu, Liu, Yi, Qirui Hu +7 · 1 citation
Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Privacy-Preserving Technologies in Data #Statistical Methods and Bayesian Inference