Y. Zhang

Publications
Influence

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

Y. Zhang, Hanjun Dai, +5 authors T. Liu
Computer Science
AAAI
23 April 2014

We introduce a novel framework based on Recurrent Neural Networks (RNN). Expand

Variational Reasoning for Question Answering with Knowledge Graph

Y. Zhang, Hanjun Dai, Zornitsa Kozareva, Alex Smola, L. Song
Computer Science, Mathematics
AAAI
12 September 2017

We propose a novel and unified deep learning architecture, and an end-to-end variational learning algorithm which can handle noise in questions, and learn multi-hop reasoning simultaneously. Expand

KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings

Y. Zhang, Hanjun Dai, Kamil Toraman, L. Song
Computer Science, Mathematics
ArXiv
31 May 2018

We propose a novel framework for answering science exam questions, which mimics human solving process in an open-book exam. Expand

Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images

B. Yang, Jinmeng Cao, R. Ni, Y. Zhang
Computer Science
IEEE Access
2018

A weighted mixture deep neural network is proposed to automatically extract the features that are effective for facial expression recognition tasks. Expand

Cytosolic proteostasis through importing of misfolded proteins into mitochondria

Linhao Ruan, Chuankai Zhou, +5 authors R. Li
Computer Science
Nat.
2017

Psychological advertising: exploring user psychology for click prediction in sponsored search

Taifeng Wang, Jiang Bian, S. Liu, Y. Zhang, T. Liu
Computer Science
KDD
11 August 2013

We propose to systematically model user psychological desire in sponsored search according to Maslow's desire theory in order for a precise prediction on ad clicks. Expand

Counting challenging crowds robustly using a multi-column multi-task convolutional neural network

B. Yang, Jinmeng Cao, Nan Wang, Y. Zhang, L. Zou
Computer Science
Signal Process. Image Commun.
1 May 2018

A multi-column multi-task convolutional neural network is proposed for robust crowd counting, which is achieved through summing up the density map estimated by the proposed network. Expand

Efficient Probabilistic Logic Reasoning with Graph Neural Networks

Y. Zhang, Xinshi Chen, +4 authors L. Song
Computer Science
ICLR
29 January 2020

We propose a GNN variant, named ExpressGNN, which strikes a nice balance between the representation power and the simplicity of the model. Expand

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines

Y. Zhang, M. T. Bahadori, H. Su, Jimeng Sun
Computer Science
KDD
20 February 2016

We propose Fast LineAr SearcH (FLASH), an efficient method for tuning analytic pipelines. Expand

Standalone Systolic Profile Detection of Non-Contact SCG Signal With LSTM Network

Y. Li, Zongyang Xia, Y. Zhang
Computer Science
IEEE Sensors Journal
15 March 2020

A single-layer bi-directional long short-term memory (LSTM) network is used to distinguish SP, which is the part of SCG that depicts the phase of systole, including fiducial points such as isovolumic contraction (IM) and aortic valve opening (AO) points. Expand

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