Junpei Zhou
Junpei Zhou
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Learning generative convnets via multi-grid modeling and sampling
R Gao, Y Lu, J Zhou, SC Zhu, YN Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
A semantic-based method for visualizing large image collections
X Xie, X Cai, J Zhou, N Cao, Y Wu
IEEE transactions on visualization and computer graphics 25 (7), 2362-2377, 2018
Chinese grammatical error correction using statistical and neural models
J Zhou, C Li, H Liu, Z Bao, G Xu, L Li
Natural Language Processing and Chinese Computing: 7th CCF International …, 2018
Dial2desc: end-to-end dialogue description generation
H Pan, J Zhou, Z Zhao, Y Liu, D Cai, M Yang
arXiv preprint arXiv:1811.00185, 2018
A hybrid system for Chinese grammatical error diagnosis and correction
C Li, J Zhou, Z Bao, H Liu, G Xu, L Li
Proceedings of the 5th Workshop on Natural Language Processing Techniques …, 2018
CMU-Informedia at TREC 2019 Incident Streams Track
J Zhou, X Wang, P Huang, A Hauptmann
Twenty-Eighth Text REtrieval Conference 1250, 2019
SOURCE: SOURce-conditional elmo-style model for machine translation quality estimation
J Zhou, Z Zhang, Z Hu
Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019
Learning multi-grid generative convnets by minimal contrastive divergence
R Gao, Y Lu, J Zhou, SC Zhu, YN Wu
arXiv preprint arXiv 1709, 2017
Data troubles in sentence level confidence estimation for machine translation
C Chelba, J Zhou, H Kazawa, J Klingner, M Niu
arXiv preprint arXiv:2010.13856, 2020
Dataset Refining with Machine Translation Quality Prediction
J Zhou, Y Li, C Chelba, F Feng, B Liang, P Wang
US Patent App. 17/852,863, 2023
Practical Perspectives on Quality Estimation for Machine Translation
J Zhou, C Chelba
arXiv preprint arXiv:2005.03519, 2020
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling
R Gao, Y Lu, J Zhou, SC Zhu, YN Wu
arXiv preprint arXiv:1709.08868, 2017
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