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Huasha Zhao
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2020 – today
- 2021
- [c15]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: 2848-2857 - [i7]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 abs/2101.06323 (2021) - 2020
- [c14]Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Counterfactual Recognition. SemEval@COLING 2020: 322-335 - [d1]Xiaoyu Yang
, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin
SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. Zenodo, 2020 - [i6]Xiaoyu Yang, Stephen Obadinma, Huasha Zhao, Qiong Zhang, Stan Matwin, Xiaodan Zhu:
SemEval-2020 Task 5: Counterfactual Recognition. CoRR abs/2008.00563 (2020)
2010 – 2019
- 2019
- [c13]Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng:
Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. Canadian AI 2019: 413-419 - [c12]Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao:
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. NAACL-HLT (2) 2019: 32-39 - [e1]Jon Degenhardt, Giuseppe Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Andrew Trotman, Yiu-Chang Lin, Huasha Zhao:
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. CEUR Workshop Proceedings 2319, CEUR-WS.org 2019 [contents] - [i5]Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao:
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. CoRR abs/1903.11279 (2019) - 2018
- [c11]Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si:
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. NAACL-HLT (2) 2018: 346-351 - [c10]Jon Degenhardt, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Yiu-Chang Lin, Andrew Trotman, Huasha Zhao:
SIGIR 2018 Workshop on eCommerce (ECOM18). SIGIR 2018: 1407-1409 - 2017
- [c9]Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang:
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. SIGIR 2017: 909-912 - [i4]Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si:
Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency. TAC 2017 - [i3]Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang:
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. CoRR abs/1707.08113 (2017) - 2015
- [c8]John F. Canny, Huasha Zhao, Bobby Jaros, Ye Chen, Jiangchang Mao:
Machine learning at the limit. IEEE BigData 2015: 233-242 - [c7]Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros:
SAME but Different: Fast and High Quality Gibbs Parameter Estimation. KDD 2015: 1495-1502 - 2014
- [b1]Huasha Zhao:
High Performance Machine Learning through Codesign and Rooflining. University of California, Berkeley, USA, 2014 - [c6]Huasha Zhao, Ye Chen, John F. Canny, Tak W. Yan:
Query Augmentation based Intent Matching in Retail Vertical Ads. CIKM 2014: 619-628 - [c5]Huasha Zhao, John F. Canny:
Kylix: A Sparse Allreduce for Commodity Clusters. ICPP 2014: 273-282 - [c4]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: 419-420 - [i2]Huasha Zhao, Biye Jiang, John F. Canny:
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation. CoRR abs/1409.5402 (2014) - 2013
- [c3]John F. Canny, Huasha Zhao:
Big data analytics with small footprint: squaring the cloud. KDD 2013: 95-103 - [c2]John F. Canny, Huasha Zhao:
Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters. SDM 2013: 785-793 - [i1]Huasha Zhao, John F. Canny:
Sparse Allreduce: Efficient Scalable Communication for Power-Law Data. CoRR abs/1312.3020 (2013) - 2010
- [c1]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: 1-5
Coauthor Index
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