most citedInhomogeneous Social Recommendation with Hypergraph Convolutional Networks

9 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20219 cited

Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks

Zirui Zhu, Chen Gao, Xu Chen +3

Incorporating social relations into the recommendation system, i.e. social recommendation, has been widely studied in academic and industrial communities. While many promising resu…

cs.IR20212 cited

Top-N Recommendation with Counterfactual User Preference Simulation

Mengyue Yang, Quanyu Dai, Zhenhua Dong +3

Top-N recommendation, which aims to learn user ranking-based preference, has long been a fundamental problem in a wide range of applications. Traditional models usually motivate th…

cs.CL2021

The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task

Chen Xu, Xiaoqian Liu, Xiaowen Liu +4

This paper describes the submission of the NiuTrans end-to-end speech translation system for the IWSLT 2021 offline task, which translates from the English audio to German text dir…

cs.CL20216 cited

Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

Chen Xu, Bojie Hu, Yanyang Li +5

Encoder pre-training is promising in end-to-end Speech Translation (ST), given the fact that speech-to-translation data is scarce. But ST encoders are not simple instances of Autom…

eess.SP20192 cited

Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models

Yourui Huangfu, Jian Wang, Rong Li +4

Accurate prediction of fading channel in the upcoming transmission frame is essential to realize adaptive transmission for transmitters, and receivers with the ability of channel p…