Huasha Zhao

24 papers A* 5A 2B 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2021 A* conf
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.
WWW
Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao
2021 J jnl
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.
CoRR
Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, Huasha Zhao
2020 — conf
SemEval-2020 Task 5: Counterfactual Recognition.
SemEval@COLING
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
2020 J jnl
SemEval-2020 Task 5: Counterfactual Recognition.
CoRR
Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu
2019 — conf
Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference.
Canadian AI
Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng
2019 — conf
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents.
NAACL-HLT (2)
Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao
2019 J jnl
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents.
CoRR
Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao
2019 — ed.
The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018.
eCom@SIGIR
Jon Degenhardt, Giuseppe Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Andrew Trotman, Yiu-Chang Lin, Huasha Zhao
2018 — conf
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding.
NAACL-HLT (2)
Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si
2018 A* conf
SIGIR 2018 Workshop on eCommerce (ECOM18).
SIGIR
Jon Degenhardt, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Yiu-Chang Lin, Andrew Trotman, Huasha Zhao
2017 — conf
Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency.
TAC
Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si
2017 A* conf
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach.
SIGIR
Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang
2017 J jnl
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach.
CoRR
Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang
2015 — conf
Machine learning at the limit.
IEEE BigData
John F. Canny, Huasha Zhao, Bobby Jaros, Ye Chen, Jiangchang Mao
2015 A* conf
SAME but Different: Fast and High Quality Gibbs Parameter Estimation.
KDD
Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros
2014 — —
High Performance Machine Learning through Codesign and Rooflining.
Huasha Zhao
2014 B conf
Kylix: A Sparse Allreduce for Commodity Clusters.
ICPP
Huasha Zhao, John F. Canny
2014 A conf
Query Augmentation based Intent Matching in Retail Vertical Ads.
CIKM
Huasha Zhao, Ye Chen, John F. Canny, Tak W. Yan
2014 — conf
Query augmentation based intent matching in retail vertical ads.
WWW (Companion Volume)
Huasha Zhao, Wei Vivian Zhang, Ye Chen, John F. Canny, Tak W. Yan
2014 J jnl
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation.
CoRR
Huasha Zhao, Biye Jiang, John F. Canny
2013 A* conf
Big data analytics with small footprint: squaring the cloud.
KDD
John F. Canny, Huasha Zhao
2013 A conf
Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters.
SDM
John F. Canny, Huasha Zhao
2013 J jnl
Sparse Allreduce: Efficient Scalable Communication for Power-Law Data.
CoRR
Huasha Zhao, John F. Canny
2010 — conf
Cooperative Sensing and Compression in Vehicular Sensor Networks for Urban Monitoring.
ICC
Xiaoxiao Yu, Huasha Zhao, Lin Zhang, Shining Wu, Basskar Krishnamachari, Victor O. K. Li