activity
20132026
most citedTextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search

47 citations · 68 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Arbor: Tree Search as a Cognition Layer for Autonomous Agents

Neha Prakriya, Chaojun Hou, Zheng Gong +5

Arbor is a multi-agent framework that introduces structured tree search as a cognition layer for autonomous agents operating in large, stateful action spaces. Prior autonomous opti…

cs.CL2021★ 47 cited

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search

Jason Yue Zhu, Yanling Cui, Yuming Liu +7

Text encoders based on C-DSSM or transformers have demonstrated strong performance in many Natural Language Processing (NLP) tasks. Low latency variants of these models have also b…

cs.CL2020★ 1 cited

SemEval-2020 Task 5: Counterfactual Recognition

Xiaoyu Yang, Stephen Obadinma, Huasha Zhao +3

We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances…

cs.IR2019★ 1 cited

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents

Xiaojing Liu, Feiyu Gao, Qiong Zhang +1

Visually rich documents (VRDs) are ubiquitous in daily business and life. Examples are purchase receipts, insurance policy documents, custom declaration forms and so on. In VRDs, v…

cs.IR2017★ 1 cited

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach

Huasha Zhao, Luo Si, Xiaogang Li +1

Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification…

cs.LG2014★ 9 cited

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

Huasha Zhao, Biye Jiang, John Canny

Gibbs sampling is a workhorse for Bayesian inference but has several limitations when used for parameter estimation, and is often much slower than non-sampling inference methods. S…

cs.DC2013★ 9 cited

Sparse Allreduce: Efficient Scalable Communication for Power-Law Data

Huasha Zhao, John Canny

Many large datasets exhibit power-law statistics: The web graph, social networks, text data, click through data etc. Their adjacency graphs are termed natural graphs, and are known…