Tian Xia

According to our database, Tian Xia authored at least 19 papers between 2013 and 2021.

Collaborative distances:

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

2021

PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets.

Zongcheng Ji, Tian Xia, Mei Han

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization.

Zongcheng Ji, Tian Xia, Mei Han, Jing Xiao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment.

Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A simple discriminative training method for machine translation with large-scale features.

Tian Xia, Shaodan Zhai, Shaojun Wang

CoRR, 2019

Plackett-Luce model for learning-to-rank task.

Tian Xia, Shaodan Zhai, Shaojun Wang

CoRR, 2019

Analysis of Regression Tree Fitting Algorithms in Learning to Rank.

Tian Xia, Shaodan Zhai, Shaojun Wang

CoRR, 2019

Federated Learning of Unsegmented Chinese Text Recognition Model.

Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

An Attention Based Deep Neural Network for Automatic Lexical Stress Detection.

Tian Xia, Xianfeng Rui, Chien-Lin Huang, Iek Heng Chu, Shaojun Wang, Mei Han

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators.

Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2015

Une méthode discriminant formation simple pour la traduction automatique avec Grands Caractéristiques.

Tian Xia, Shaodan Zhai, Zhongliang Li, Shaojun Wang

Proceedings of the Actes de la 22e conference sur le Traitement Automatique des Langues Naturelles. Articles courts, 2015

A Direct Boosting Approach for Semi-supervised Classification.

Shaodan Zhai, Tian Xia, Zhongliang Li, Shaojun Wang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Multi-label Ensemble Method Based on Minimum Ranking Margin Maximization.

Shaodan Zhai, Chenyang Zhao, Tian Xia, Shaojun Wang

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

A boosting method for direct AUC optimization.

Zhongliang Li, Shaodan Zhai, Tian Xia, Shaojun Wang

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014

A multi-class boosting method with direct optimization.

Shaodan Zhai, Tian Xia, Shaojun Wang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Direct 0-1 Loss Minimization and Margin Maximization with Boosting.

Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Direct optimization of ranking measures for learning to rank models.

Ming Tan, Tian Xia, Lily Guo, Shaojun Wang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A robust semi-supervised boosting method using linear programming.

Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Improving Alignment of System Combination by Using Multi-objective Optimization.

Tian Xia, Zongcheng Ji, Shaodan Zhai, Yidong Chen, Qun Liu, Shaojun Wang

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Corpus Level MIRA Tuning Strategy for Machine Translation.

Ming Tan, Tian Xia, Shaojun Wang, Bowen Zhou

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013