| 2021 | WWW | 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 |
| 2019 | AI | Enhancing Unsupervised Pretraining with External Knowledge for Natural Language Inference. | Xiaoyu Yang, Xiaodan Zhu, Huasha Zhao, Qiong Zhang, Yufei Feng |
| 2019 | NAACL | Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. | Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao |
| 2018 | NAACL | Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. | Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si |
| 2018 | SIGIR | SIGIR 2018 Workshop on eCommerce (ECOM18). | Jon Degenhardt, Pino Di Fabbrizio, Surya Kallumadi, Mohit Kumar, Yiu-Chang Lin, Andrew Trotman, Huasha Zhao |
| 2017 | SIGIR | Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. | Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang |
| 2015 | KDD | SAME but Different: Fast and High Quality Gibbs Parameter Estimation. | Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros |
| 2014 | CIKM | Query Augmentation based Intent Matching in Retail Vertical Ads. | Huasha Zhao, Ye Chen, John F. Canny, Tak W. Yan |
| 2014 | ICPP | Kylix: A Sparse Allreduce for Commodity Clusters. | Huasha Zhao, John F. Canny |
| 2014 | WWW | Query augmentation based intent matching in retail vertical ads. | Huasha Zhao, Wei Vivian Zhang, Ye Chen, John F. Canny, Tak W. Yan |
| 2013 | KDD | Big data analytics with small footprint: squaring the cloud. | John F. Canny, Huasha Zhao |
| 2013 | SDM | Butterfly Mixing: Accelerating Incremental-Update Algorithms on Clusters. | John F. Canny, Huasha Zhao |