activity
20152026
most citedExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries

22 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Convergence in Science, Divergence in Religion: Calibrated Framing Differences Across Wikipedia's Language Editions

Hung-Hsuan Chen

When Wikipedia's language editions describe the same concept, how differently do they frame it? Prior work measures coverage gaps between editions; we measure framing distance for…

cs.SI2023

Detecting Inactive Cyberwarriors from Online Forums

Ruei-Yuan Wang, Hung-Hsuan Chen

The proliferation of misinformation has emerged as a new form of warfare in the information age. This type of warfare involves cyberwarriors, who deliberately propagate messages ai…

cs.NE2019

Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation

Yu-Wei Kao, Hung-Hsuan Chen

Backpropagation (BP) is the cornerstone of today's deep learning algorithms, but it is inefficient partially because of backward locking, which means updating the weights of one la…

cs.IR2017★ 15 cited

Weighted-SVD: Matrix Factorization with Weights on the Latent Factors

Hung-Hsuan Chen

The Matrix Factorization models, sometimes called the latent factor models, are a family of methods in the recommender system research area to (1) generate the latent factors for t…

cs.DL2015★ 22 cited

ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries

Hung-Hsuan Chen, Alexander G. Ororbia, C. Lee Giles

We describe ExpertSeer, a generic framework for expert recommendation based on the contents of a digital library. Given a query term q, ExpertSeer recommends experts of q by retrie…