Fang Liu - RankMe

41 papers B 4C 1Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Approximation of Earth Mover's Distance Based on Nearest Neighbor Search. IEEE Trans. Multim. Guangyu Meng, Ruyu Zhou, Liu Liu, Peixian Liang, Fang Liu, Danny Z. Chen, Michael T. Niemier, Xiaobo Sharon Hu
2025	J	`jnl`	Noise-Augmented ℓ 0 Regularization of Tensor Regression With Tucker Decomposition. Stat. Anal. Data Min. Tian Yan, Yinan Li, Fang Liu
2024	J	`jnl`	Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search. CoRR Guangyu Meng, Ruyu Zhou, Liu Liu, Peixian Liang, Fang Liu, Danny Chen, Michael T. Niemier, X. Sharon Hu
2024	J	`jnl`	LINFA: a Python library for variational inference with normalizing flow and annealing. J. Open Source Softw. Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, Daniele E. Schiavazzi
2024	J	`jnl`	Location Selection for Dry Hot Rock Exploration Based on Large-Scale Group Decision-Making with Three-way Decision. Int. J. Fuzzy Syst. Fang Liu, Zhongli Zhou, Ju Wu, Yi Liu
2023	J	`jnl`	Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records. CoRR Bingyue Su, Yu Wang, Daniele E. Schiavazzi, Fang Liu
2023	J	`jnl`	Disclosure Risk From Homogeneity Attack in Differentially Privately Sanitized Frequency Distribution. IEEE Trans. Dependable Secur. Comput. Fang Liu, Xingyuan Zhao
2023	J	`jnl`	GIBWM-MABAC approach for MAGDM under multi-granularity intuitionistic 2-tuple linguistic information model. J. Ambient Intell. Humaniz. Comput. Yi Liu, Ya Qin, Fang Liu, Yuan Rong
2023	J	`jnl`	Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022. CoRR Tian Yan, Fang Liu
2023	J	`jnl`	LINFA: a Python library for variational inference with normalizing flow and annealing. CoRR Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, Daniele E. Schiavazzi
2023	J	`jnl`	Privacy-Preserving Travel Time Prediction With Uncertainty Using GPS Trace Data. IEEE Trans. Mob. Comput. Fang Liu, Dong Wang, Zhengquan Xu
2023	J	`jnl`	Risk Assessment of Open-Pit Slope Based on Large-Scale Group Decision-Making Method Considering Non-Cooperative Behavior. Int. J. Fuzzy Syst. Ju Wu, Hao Gong, Fang Liu, Yi Liu
2022	—	`conf`	A New Bound for Privacy Loss from Bayesian Posterior Sampling. CODASPY Xingyuan Zhao, Fang Liu
2022	J	`jnl`	AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation. CoRR Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu, Daniele E. Schiavazzi
2022	B	`conf`	Adaptive Noisy Data Augmentation for Regularized Estimation and Inference of Generalized Linear Models. COMPSAC Yinan Li, Fang Liu
2022	—	`conf`	Disclosure Risk from Homogeneity Attack in Differentially Private Release of Frequency Distribution. CODASPY Fang Liu, Xingyuan Zhao
2022	B	`conf`	Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies. COMPSAC Yu Wang, Fang Liu
2022	J	`jnl`	Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies. CoRR Yu Wang, Fang Liu
2022	—	`conf`	Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-Purpose Regularizer and Privacy Budget Retrieval and Recycling. SAI (3) Yinan Li, Fang Liu
2022	J	`jnl`	Variational inference with NoFAS: Normalizing flow with adaptive surrogate for computationally expensive models. J. Comput. Phys. Yu Wang, Fang Liu, Daniele E. Schiavazzi
2021	B	`conf`	Adaptive Noisy Data Augmentation for Regularized Construction of Undirected Graphical Models. DSAA Yinan Li, Fang Liu, Xiao Liu
2021	—	`conf`	Construction of Differentially Private Empirical Distributions from a Low-Order Marginals Set Through Solving Linear Equations with l SAI (3) Evercita C. Eugenio, Fang Liu
2021	—	`conf`	Continuous-Time Markov-Switching GARCH Process with Robust State Path Identification and Volatility Estimation. ECML/PKDD (1) Yinan Li, Fang Liu
2021	J	`jnl`	Improved MABAC method based on single-valued neutrosophic 2-tuple linguistic sets and Frank aggregation operators for MAGDM. Comput. Appl. Math. Lei Xu, Yi Liu, Fang Liu
2021	J	`jnl`	Modification of the BWM and MABAC method for MAGDM based on q-rung orthopair fuzzy rough numbers. Int. J. Mach. Learn. Cybern. Fang Liu, Tianrui Li, Ju Wu, Yi Liu
2021	J	`jnl`	Multiple Attribute Decision-Making Method Based upon Intuitionistic Fuzzy Partitioned Dual Maclaurin Symmetric Mean Operators. Int. J. Comput. Intell. Syst. Hongjuan Wang, Yi Liu, Fang Liu, Jun Lin
2021	J	`jnl`	Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data. CoRR Tian Yan, Fang Liu
2021	J	`jnl`	Three-way decisions with decision-theoretic rough sets based on covering-based q-rung orthopair fuzzy rough set model. J. Intell. Fuzzy Syst. Fang Liu, Yi Liu, Saleem Abdullah
2021	J	`jnl`	Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models. CoRR Yu Wang, Fang Liu, Daniele E. Schiavazzi
2020	C	`conf`	Adaptive Gaussian Noise Injection Regularization for Neural Networks. ISNN Yinan Li, Fang Liu
2020	B	`conf`	Differentially Private Generation of Social Networks via Exponential Random Graph Models. COMPSAC Fang Liu, Evercita C. Eugenio, Ick-Hoon Jin, Claire McKay Bowen
2019	J	`jnl`	Generalized Gaussian Mechanism for Differential Privacy. IEEE Trans. Knowl. Data Eng. Fang Liu
2019	J	`jnl`	Statistical Properties of Sanitized Results from Differentially Private Laplace Mechanism with Univariate Bounding Constraints. Trans. Data Priv. Fang Liu
2018	J	`jnl`	CIPHER: Construction of dIfferentially Private microdata from low-dimensional Histograms via solving linear Equations with Tikhonov Regularization. CoRR Evercita C. Eugenio, Fang Liu
2018	J	`jnl`	Panda: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models. CoRR Yinan Li, Xiao Liu, Fang Liu
2016	J	`jnl`	Noninformative Bounding in Differential Privacy and Its Impact on Statistical Properties of Sanitized Results in Truncated and Boundary-Inflated-Truncated Laplace Mechanisms. CoRR Fang Liu
2016	J	`jnl`	一种基于概率粗糙集的属性约简加速算法 (Accelerated Attribute Reduction Algorithm Based on Probabilistic Rough Sets). 计算机科学 Fang Liu, Tianrui Li
2016	J	`jnl`	基于边界域的不完备信息系统属性约简方法 (Method for Attribute Reduction Based on Rough Sets Boundary Regions). 计算机科学 Fang Liu, Tianrui Li
2015	J	`jnl`	zoib: An R Package for Bayesian Inference for Beta Regression and Zero/One Inflated Beta Regression. R J. Fang Liu, Yunchuan Kong
2014	J	`jnl`	Exact sequential test of equivalence hypothesis based on bivariate non-central t-statistics. Comput. Stat. Data Anal. Fang Liu, Qing Li
2014	J	`jnl`	gset: An R Package for Exact Sequential Test of Equivalence Hypothesis Based on Bivariate Non-Central t-Statistics. R J. Fang Liu