Chunchuan Lyu

According to our database, Chunchuan Lyu authored at least 10 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Nonparametric Learning of Two-Layer ReLU Residual Units.

Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen

Trans. Mach. Learn. Res., 2022

DeepSPIN: Deep Structured Prediction for Natural Language Processing.

André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo M. Correia, Marcos V. Treviso, Pedro Henrique Martins, Tsvetomila Mihaylova

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2021

Graph-based broad-coverage semantic parsing

Chunchuan Lyu

PhD thesis, 2021

Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models.

Jing Liu, Rupak Vignesh Swaminathan, Sree Hari Krishnan Parthasarathi, Chunchuan Lyu, Athanasios Mouchtaris, Siegfried Kunzmann

Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing.

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming.

Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen

CoRR, 2020

2019

Semantic Role Labeling with Iterative Structure Refinement.

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks.

Xinchi Chen, Chunchuan Lyu, Ivan Titov

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

AMR Parsing as Graph Prediction with Latent Alignment.

Chunchuan Lyu, Ivan Titov

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2015

A Unified Gradient Regularization Family for Adversarial Examples.

Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015