Jiasen Yang - RankMe

13 papers A* 3A 4Journal 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A high-accuracy unsupervised statistical learning method for joint dangling entity detection and entity alignment. Inf. Syst. Cong Xu, Mengxin Shi, Xiang Gao, Zhongkang Yin, Xiujuan Yao, Wei Li, Jiasen Yang
2023	J	`jnl`	Partial conditioning for inference of many-normal-means with Hölder constraints. Int. J. Approx. Reason. Jiasen Yang, Xiao Wang, Chuanhai Liu
2019	A	`conf`	A Stein-Papangelou Goodness-of-Fit Test for Point Processes. AISTATS Jiasen Yang, Vinayak A. Rao, Jennifer Neville
2019	A*	`conf`	HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2019	J	`jnl`	Optimization on the Surface of the (Hyper)-Sphere. CoRR Parameswaran Raman, Jiasen Yang
2019	A	`conf`	Randomized Iterative Algorithms for Fisher Discriminant Analysis. UAI Agniva Chowdhury, Jiasen Yang, Petros Drineas
2018	A*	`conf`	An Iterative, Sketching-based Framework for Ridge Regression. ICML Agniva Chowdhury, Jiasen Yang, Petros Drineas
2018	A*	`conf`	Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy. ICML Jiasen Yang, Qiang Liu, Vinayak A. Rao, Jennifer Neville
2018	J	`jnl`	Randomized Iterative Algorithms for Fisher Discriminant Analysis. CoRR Agniva Chowdhury, Jiasen Yang, Petros Drineas
2017	J	`jnl`	Coreset Construction via Randomized Matrix Multiplication. CoRR Jiasen Yang, Agniva Chowdhury, Petros Drineas
2017	A	`conf`	Decoupling Homophily and Reciprocity with Latent Space Network Models. UAI Jiasen Yang, Vinayak A. Rao, Jennifer Neville
2017	A	`conf`	Should We Be Confident in Peer Effects Estimated From Social Network Crawls? ICWSM Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2017	J	`jnl`	Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. CoRR Jiasen Yang, Bruno Ribeiro, Jennifer Neville