1.1k citations · 1.5k across the 14 of their papers we have counts for
14 papers
GNN is a Counter? Revisiting GNN for Question Answering
Kuan Wang, Yuyu Zhang, Diyi Yang +2
Question Answering (QA) has been a long-standing research topic in AI and NLP fields, and a wealth of studies have been conducted to attempt to equip QA systems with human-level re…
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
Yuyu Zhang, Heng Chi, Binghong Chen +4
A wide range of modern science and engineering applications are formulated as optimization problems with a system of partial differential equations (PDEs) as constraints. These PDE…
Answering Any-hop Open-domain Questions with Iterative Document Reranking
Ping Nie, Yuyu Zhang, Arun Ramamurthy +1
Existing approaches for open-domain question answering (QA) are typically designed for questions that require either single-hop or multi-hop reasoning, which make strong assumption…
Question Directed Graph Attention Network for Numerical Reasoning over Text
Kunlong Chen, Weidi Xu, Xingyi Cheng +6
Numerical reasoning over texts, such as addition, subtraction, sorting and counting, is a challenging machine reading comprehension task, since it requires both natural language un…
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
Yuyu Zhang, Ping Nie, Xiubo Geng +3
Recent studies on open-domain question answering have achieved prominent performance improvement using pre-trained language models such as BERT. State-of-the-art approaches typical…
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Yuyu Zhang, Xinshi Chen, Yuan Yang +4
Markov Logic Networks (MLNs), which elegantly combine logic rules and probabilistic graphical models, can be used to address many knowledge graph problems. However, inference in ML…
Can Graph Neural Networks Help Logic Reasoning?
Yuyu Zhang, Xinshi Chen, Yuan Yang +4
Effectively combining logic reasoning and probabilistic inference has been a long-standing goal of machine learning: the former has the ability to generalize with small training da…
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
Yuyu Zhang, Hanjun Dai, Kamil Toraman +1
The AI2 Reasoning Challenge (ARC), a new benchmark dataset for question answering (QA) has been recently released. ARC only contains natural science questions authored for human ex…
Variational Reasoning for Question Answering with Knowledge Graph
Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva +2
Knowledge graph (KG) is known to be helpful for the task of question answering (QA), since it provides well-structured relational information between entities, and allows one to fu…
Learning Combinatorial Optimization Algorithms over Graphs
Hanjun Dai, Elias B. Khalil, Yuyu Zhang +2
The design of good heuristics or approximation algorithms for NP-hard combinatorial optimization problems often requires significant specialized knowledge and trial-and-error. Can…
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines
Yuyu Zhang, Mohammad Taha Bahadori, Hang Su +1
Modern data science relies on data analytic pipelines to organize interdependent computational steps. Such analytic pipelines often involve different algorithms across multiple ste…
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform
Yuyu Zhang, Liang Pang, Lei Shi +1
This paper describes the solution of Bazinga Team for Tmall Recommendation Prize 2014. With real-world user action data provided by Tmall, one of the largest B2C online retail plat…
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Yuyu Zhang, Hanjun Dai, Chang Xu +5
Click prediction is one of the fundamental problems in sponsored search. Most of existing studies took advantage of machine learning approaches to predict ad click for each event o…
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches
Xudong Liu, Bing Xu, Yuyu Zhang +5
The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness…