Dehong Ma

According to our database, Dehong Ma authored at least 19 papers between 2001 and 2024.

Collaborative distances:

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

2024

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification.

Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin

CoRR, 2024

UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle.

Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.

Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin

ACM Trans. Web, February, 2023

2022

A Question-Oriented Propagation Network for News Reading Comprehension.

Liang Wen, Houfeng Wang, Dehong Ma, Jun Fan, Yingwei Luo, Xiaolin Wang, Daiting Shi, Zhicong Cheng, Dawei Yin

Proceedings of the IEEE International Conference on Acoustics, 2022

PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation.

Lianshang Cai, Linhao Zhang, Dehong Ma, Jun Fan, Daiting Shi, Yi Wu, Zhicong Cheng, Simiu Gu, Dawei Yin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Pre-trained Language Model based Ranking in Baidu Search.

Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series.

Dehong Ma, Bo Ding, Dawei Feng, Hui Liu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Do It Once: An Embarrassingly Simple Joint Matching Approach to Response Selection.

Linhao Zhang, Dehong Ma, Sujian Li, Houfeng Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Graph LSTM with Context-Gated Mechanism for Spoken Language Understanding.

Linhao Zhang, Dehong Ma, Xiaodong Zhang, Xiaohui Yan, Houfeng Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Text Level Graph Neural Network for Text Classification.

Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

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

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction.

Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Learning Dialogue History for Spoken Language Understanding.

Xiaodong Zhang, Dehong Ma, Houfeng Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Target Extraction via Feature-Enriched Neural Networks Model.

Dehong Ma, Sujian Li, Houfeng Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Joint Learning for Targeted Sentiment Analysis.

Dehong Ma, Sujian Li, Houfeng Wang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Cascading Multiway Attentions for Document-level Sentiment Classification.

Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang, Xu Sun

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Interactive Attention Networks for Aspect-Level Sentiment Classification.

Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2014

An optimal algorithm to compute maximal relaxations in parallel.

Mingyue Wang, Na Wang, Chi Zhang, Dehong Ma, Zhanshan Li

Proceedings of the 10th International Conference on Natural Computation, 2014

2004

Nonlinear prediction for Gaussian mixture image models.

Jun Zhang, Dehong Ma

IEEE Trans. Image Process., 2004

2001

Nonlinear prediction for Gaussian mixture image models.

Jun Zhang, Dehong Ma

Proceedings of the Visual Communications and Image Processing 2001, 2001