activity
20112021
most citedContinuous Time Dynamic Topic Models

318 citations · 778 across the 15 of their papers we have counts for

collaborators

16 papers

stat.ML2021★ 8 cited

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data

HaiYing Wang, Aonan Zhang, Chong Wang

We investigate the issue of parameter estimation with nonuniform negative sampling for imbalanced data. We first prove that, with imbalanced data, the available information about u…

eess.SY2021

Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling

Matthew F. Singh, Chong Wang, Michael W. Cole +1

System identification poses a significant bottleneck to characterizing and controlling complex systems. This challenge is greatest when both the system states and parameters are no…

eess.AS2018★ 8 cited

Fully Supervised Speaker Diarization

Aonan Zhang, Quan Wang, Zhenyao Zhu +2

In this paper, we propose a fully supervised speaker diarization approach, named unbounded interleaved-state recurrent neural networks (UIS-RNN). Given extracted speaker-discrimina…

cs.CL2016★ 130 cited

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

Adji B. Dieng, Chong Wang, Jianfeng Gao +1

In this paper, we propose TopicRNN, a recurrent neural network (RNN)-based language model designed to directly capture the global semantic meaning relating words in a document via…

stat.ML2015

Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums

Abhimanu Kumar, Shriphani Palakodety, Chong Wang +3

Online discussion forums are complex webs of overlapping subcommunities (macrolevel structure, across threads) in which users enact different roles depending on which subcommunity…

stat.ML2015★ 9 cited

Embarrassingly Parallel Variational Inference in Nonconjugate Models

Willie Neiswanger, Chong Wang, Eric Xing

We develop a parallel variational inference (VI) procedure for use in data-distributed settings, where each machine only has access to a subset of data and runs VI independently, w…