most citedRethinking Distributional Matching Based Domain Adaptation

36 citations · 104 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CL2020★ 1 cited

Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition

Wei Zhou, Simon Berger, Ralf Schlüter +1

To join the advantages of classical and end-to-end approaches for speech recognition, we present a simple, novel and competitive approach for phoneme-based neural transducer modeli…

eess.IV2020★ 6 cited

Residual Spatial Attention Network for Retinal Vessel Segmentation

Changlu Guo, Márton Szemenyei, Yugen Yi +2

Reliable segmentation of retinal vessels can be employed as a way of monitoring and diagnosing certain diseases, such as diabetes and hypertension, as they affect the retinal vascu…

eess.SP2020

Adaptive support driven Bayesian reweighted algorithm for sparse signal recovery

Junlin Li, Wei Zhou, Cheng Cheng

Sparse learning has been widely studied to capture critical information from enormous data sources in the filed of system identification. Often, it is essential to understand inter…

cs.CV2020★ 36 cited

Rethinking Distributional Matching Based Domain Adaptation

Bo Li, Yezhen Wang, Tong Che +6

Domain adaptation (DA) is a technique that transfers predictive models trained on a labeled source domain to an unlabeled target domain, with the core difficulty of resolving distr…

cs.CL2020★ 1 cited

Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis

Lingwei Wei, Dou Hu, Wei Zhou +5

Document-level Sentiment Analysis (DSA) is more challenging due to vague semantic links and complicate sentiment information. Recent works have been devoted to leveraging text summ…

cs.SI2020★ 6 cited

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction

Chunyuan Yuan, Jiacheng Li, Wei Zhou +3

Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading predictio…