Huasha Zhao

According to our database, Huasha Zhao authored at least 21 papers between 2010 and 2021.

Collaborative distances:

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

2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.

Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, Huasha Zhao

CoRR, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.

Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals.

Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu

Dataset, July, 2020

SemEval-2020 Task 5: Counterfactual Recognition.

Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents.

Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference.

Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng

Proceedings of the Advances in Artificial Intelligence, 2019

2018

SIGIR 2018 Workshop on eCommerce (ECOM18).

Jon Degenhardt, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Yiu-Chang Lin, Andrew Trotman, Huasha Zhao

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding.

Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency.

Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si

Proceedings of the 2017 Text Analysis Conference, 2017

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach.

Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2015

SAME but Different: Fast and High Quality Gibbs Parameter Estimation.

Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Machine learning at the limit.

John F. Canny, Huasha Zhao, Bobby Jaros, Ye Chen, Jiangchang Mao

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

High Performance Machine Learning through Codesign and Rooflining.

Huasha Zhao

PhD thesis, 2014

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation.

Huasha Zhao, Biye Jiang, John F. Canny

CoRR, 2014

Query augmentation based intent matching in retail vertical ads.

Huasha Zhao, Wei Vivian Zhang, Ye Chen, John F. Canny, Tak W. Yan

Proceedings of the 23rd International World Wide Web Conference, 2014

Kylix: A Sparse Allreduce for Commodity Clusters.

Huasha Zhao, John F. Canny

Proceedings of the 43rd International Conference on Parallel Processing, 2014

Query Augmentation based Intent Matching in Retail Vertical Ads.

Huasha Zhao, Ye Chen, John F. Canny, Tak W. Yan

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Sparse Allreduce: Efficient Scalable Communication for Power-Law Data.

Huasha Zhao, John F. Canny

CoRR, 2013

Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters.

John F. Canny, Huasha Zhao

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Big data analytics with small footprint: squaring the cloud.

John F. Canny, Huasha Zhao

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

2010

Cooperative Sensing and Compression in Vehicular Sensor Networks for Urban Monitoring.

Xiaoxiao Yu, Huasha Zhao, Lin Zhang, Shining Wu, Basskar Krishnamachari, Victor O. K. Li

Proceedings of IEEE International Conference on Communications, 2010