Chenxiao Dou

According to our database, Chenxiao Dou authored at least 12 papers between 2012 and 2024.

Collaborative distances:

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

2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.

Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

CoRR, 2024

2023

Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition.

Chenxiao Dou, Xianghui Sun, Yaoshu Wang, Yunjie Ji, Baochang Ma, Xiangang Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection.

Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

To Answer or Not To Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning.

Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Semantics Driven Embedding Learning for Effective Entity Alignment.

Ziyue Zhong, Meihui Zhang, Ju Fan, Chenxiao Dou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2019

Unsupervised blocking and probabilistic parallelisation for record matching of distributed big data.

Chenxiao Dou, Yi Cui, Daniel Sun, Raymond K. Wong, Muhammad Atif, Guoqiang Li, Rajiv Ranjan

J. Supercomput., 2019

2017

Property of Density in Entity Resolution and its Usage for Blocking and Learning.

Chenxiao Dou

PhD thesis, 2017

Active Learning with Density-Initialized Decision Tree for Record Matching.

Chenxiao Dou, Daniel Sun, Guoqiang Li, Raymond K. Wong

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Efficient Density-Based Blocking for Record Matching.

Chenxiao Dou, Ruoyu Wang, Daniel Sun, Muhammad Atif

Proceedings of the 21st International Database Engineering & Applications Symposium, 2017

2016

Unsupervised Blocking of Imbalanced Datasets for Record Matching.

Chenxiao Dou, Daniel Sun, Raymond K. Wong

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Probabilistic parallelisation of blocking non-matched records for big data.

Chenxiao Dou, Daniel Sun, Yi-Cheng Chen, Guoqiang Li, Jianquan Liu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2012

Stock Market Volatility Prediction: A Service-Oriented Multi-kernel Learning Approach.

Feng Wang, Ling Liu, Chenxiao Dou

Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012