Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation. - Mu Li 001; Yinggong Zhao; Dongdong Zhang 001; Ming Zhou 001 (COLING, 2010)

The MSRA machine translation system for IWSLT 2010. - Chi-Ho Li; Nan Duan; Yinggong Zhao; Shujie Liu 001; Lei Cui 001; Mei-Yuh Hwang; Amittai Axelrod; Jianfeng Gao 001; Yaodong Zhang; Li Deng 001 (IWSLT, 2010)

Word Alignment Combination over Multiple Word Segmentation. - Ning Xi 003; Guangchao Tang; Boyuan Li; Yinggong Zhao (ACL (Student Session), 2011)

Transductive Minimum Error Rate Training for Statistical Machine Translation. - Yinggong Zhao; Shujie Liu 001; Yangsheng Ji; Jiajun Chen 001; Guodong Zhou (IJCNLP, 2011)

Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation. - Yinggong Zhao; Yangsheng Ji; Ning Xi 003; Shujian Huang; Jiajun Chen 001 (PACLIC, 2011)

Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches. - Ning Xi 003; Bin Li 052; Guangchao Tang; Shujian Huang; Yinggong Zhao; Hao Zhou 012; Xinyu Dai; Jiajun Chen 001 (CIPS-SIGHAN, 2012)

Decoding with Large-Scale Neural Language Models Improves Translation. - Ashish Vaswani; Yinggong Zhao; Victoria Fossum; David Chiang 001 (EMNLP, 2013)

An Investigation on Statistical Machine Translation with Neural Language Models. - Yinggong Zhao; Shujian Huang; Huadong Chen; Jiajun Chen 001 (CCL, 2014)

Learning word embeddings from dependency relations. - Yinggong Zhao; Shujian Huang; Xinyu Dai; Jianbing Zhang; Jiajun Chen 001 (IALP, 2014)

Adaptation of Language Models for SMT Using Neural Networks with Topic Information. - Yinggong Zhao; Shujian Huang; Xin-Yu Dai; Jiajun Chen 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2016)

Dialogue State Tracking with Explicit Slot Connection Modeling. - Yawen Ouyang; Moxin Chen; Xinyu Dai; Yinggong Zhao; Shujian Huang; Jiajun Chen 001 (ACL, 2020)

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data. - Xiaoqing Geng; Xiwen Chen; Kenny Q. Zhu; Libin Shen; Yinggong Zhao (CIKM, 2020)

Enhanced Story Representation by ConceptNet for Predicting Story Endings. - Shanshan Huang 002; Kenny Q. Zhu; Qianzi Liao; Libin Shen; Yinggong Zhao (CIKM, 2020)

Learning Numeral Embedding. - Chengyue Jiang; Zhonglin Nian; Kaihao Guo; Shanbo Chu; Yinggong Zhao; Libin Shen; Kewei Tu (EMNLP (Findings), 2020)

Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks. - Chengyue Jiang; Yinggong Zhao; Shanbo Chu; Libin Shen; Kewei Tu (EMNLP (1), 2020)

Automatic Classification and Comparison of Words by Difficulty. - Shengyao Zhang; Qi Jia 003; Libin Shen; Yinggong Zhao (ICONIP (4), 2020)

Learning Numeral Embeddings. - Chengyue Jiang; Zhonglin Nian; Kaihao Guo; Shanbo Chu; Yinggong Zhao; Libin Shen; Kewei Tu (CoRR, 2020)

What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension. - Jiawei Wang; Hai Zhao; Yinggong Zhao; Libin Shen (EMNLP (Findings), 2021)

Lite Unified Modeling for Discriminative Reading Comprehension. - Yilin Zhao; Hai Zhao 001; Libin Shen; Yinggong Zhao (ACL (1), 2022)