Huasha Zhao

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 14

Top Venues

CoRR

KDD

NAACL-HLT (2)

SIGIR

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

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

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Publication Activity (10 Years)

Top Topics

Top Venues

Huasha Zhao