Cooperative Sensing and Compression in Vehicular Sensor Networks for Urban Monitoring. - Xiaoxiao Yu; Huasha Zhao; Lin Zhang 001; Shining Wu; Basskar Krishnamachari; Victor O. K. Li (ICC, 2010)

Big data analytics with small footprint: squaring the cloud. - John F. Canny; Huasha Zhao (KDD, 2013)

Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters. - John F. Canny; Huasha Zhao (SDM, 2013)

Sparse Allreduce: Efficient Scalable Communication for Power-Law Data. - Huasha Zhao; John F. Canny (CoRR, 2013)

Query Augmentation based Intent Matching in Retail Vertical Ads. - Huasha Zhao; Ye Chen; John F. Canny; Tak W. Yan (CIKM, 2014)

Kylix: A Sparse Allreduce for Commodity Clusters. - Huasha Zhao; John F. Canny (ICPP, 2014)

Query augmentation based intent matching in retail vertical ads. - Huasha Zhao; Wei Vivian Zhang; Ye Chen; John F. Canny; Tak W. Yan (WWW (Companion Volume), 2014)

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation. - Huasha Zhao; Biye Jiang; John F. Canny (CoRR, 2014)

High Performance Machine Learning through Codesign and Rooflining. - Huasha Zhao (2014)

Machine learning at the limit. - John F. Canny; Huasha Zhao; Bobby Jaros; Ye Chen; Jiangchang Mao (IEEE BigData, 2015)

SAME but Different: Fast and High Quality Gibbs Parameter Estimation. - Huasha Zhao; Biye Jiang; John F. Canny; Bobby Jaros (KDD, 2015)

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. - Huasha Zhao; Luo Si; Xiaogang Li; Qiong Zhang (SIGIR, 2017)

Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency. - Huasha Zhao; Yi Yang; Qiong Zhang; Luo Si (TAC, 2017)

Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. - Huasha Zhao; Yi Yang; Qiong Zhang; Luo Si (NAACL-HLT (2), 2018)

SIGIR 2018 Workshop on eCommerce (ECOM18). - Jon Degenhardt; Pino Di Fabbrizio; Surya Kallumadi; Mohit Kumar 008; Yiu-Chang Lin; Andrew Trotman; Huasha Zhao (SIGIR, 2018)

Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. - Xiaoyu Yang 002; Xiaodan Zhu 001; Huasha Zhao; Qiong Zhang; Yufei Feng (Canadian AI, 2019)

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. - Xiaojing Liu; Feiyu Gao; Qiong Zhang; Huasha Zhao (NAACL-HLT (2), 2019)

SemEval-2020 Task 5: Counterfactual Recognition. - Xiaoyu Yang 002; Stephen Obadinma; Huasha Zhao; Qiong Zhang; Stan Matwin; Xiaodan Zhu 001 (SemEval@COLING, 2020)

SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals. - Xiaoyu Yang 002; Stephen Obadinma; Huasha Zhao; Qiong Zhang; Stan Matwin; Xiaodan Zhu 001 (Zenodo, 2020)

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. - Jason Zhu; Yanling Cui; Yuming Liu; Hao Sun 015; Xue Li; Markus Pelger; Tianqi Yang; Liangjie Zhang; Ruofei Zhang; Huasha Zhao (WWW, 2021)

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. - Jason Zhu; Yanling Cui; Yuming Liu; Hao Sun 015; Xue Li; Markus Pelger; Liangjie Zhang; Tianqi Yan; Ruofei Zhang; Huasha Zhao (CoRR, 2021)