397 citations · 2.8k across the 133 of their papers we have counts for
9 papers · 1 filter
Attention based convolutional neural network for predicting RNA-protein binding sites
Xiaoyong Pan, Junchi Yan
RNA-binding proteins (RBPs) play crucial roles in many biological processes, e.g. gene regulation. Computational identification of RBP binding sites on RNAs are urgently needed. In…
Joint Cuts and Matching of Partitions in One Graph
Tianshu Yu, Junchi Yan, Jieyi Zhao +1
As two fundamental problems, graph cuts and graph matching have been investigated over decades, resulting in vast literature in these two topics respectively. However the way of jo…
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
Ning Zhang, Junchi Yan, Yuchen Zhou
Separating audio mixtures into individual instrument tracks has been a long standing challenging task. We introduce a novel weakly supervised audio source separation approach based…
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
Event sequence, asynchronously generated with random timestamp, is ubiquitous among applications. The precise and arbitrary timestamp can carry important clues about the underlying…
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye +3
Point processes are becoming very popular in modeling asynchronous sequential data due to their sound mathematical foundation and strength in modeling a variety of real-world pheno…
Learning Correspondence Structures for Person Re-identification
Weiyao Lin, Yang Shen, Junchi Yan +4
This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-ba…