Yada Zhu

According to our database1, Yada Zhu authored at least 33 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
On Sample Based Explanation Methods for NLP: Efficiency, Faithfulness, and Semantic Evaluation.
CoRR, 2021

Heterogeneous Contrastive Learning.
CoRR, 2021

Network of Tensor Time Series.
Proceedings of the WWW '21: The Web Conference 2021, 2021

On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Outlier Impact Characterization for Time Series Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.
CoRR, 2020

Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Task-Based Learning via Task-Oriented Prediction Network.
CoRR, 2019

Robust Embedded Deep K-means Clustering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Social Phishing.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Heterogeneous representation learning with separable structured sparsity regularization.
Knowl. Inf. Syst., 2018

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Local Algorithm for Product Return Prediction in E-Commerce.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Local Algorithm for User Action Prediction Towards Display Ads.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.
IEEE Trans. Knowl. Data Eng., 2016

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.
ACM Trans. Knowl. Discov. Data, 2016

2015
Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems.
Eur. J. Oper. Res., 2015

A general framework for predictive tensor modeling with domain knowledge.
Data Min. Knowl. Discov., 2015

Co-Clustering based Dual Prediction for Cargo Pricing Optimization.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Modern Big Data Analytics for "Old-fashioned" Semiconductor Industry Applications.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

2014
Social Engineering/Phishing.
Encyclopedia of Social Network Analysis and Mining, 2014

Parametric Estimation for Window Censored Recurrence Data.
Technometrics, 2014

2012
Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical Modeling with Tensor Inputs.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Impact of measurement error on container inspection policies at port-of-entry.
Ann. Oper. Res., 2011

2010
Multiobjective Optimization of a Port-of-Entry Inspection Policy.
IEEE Trans Autom. Sci. Eng., 2010

Availability optimization of systems subject to competing risk.
Eur. J. Oper. Res., 2010

2009
Port-of-Entry Inspection: Sensor Deployment Policy Optimization.
IEEE Trans Autom. Sci. Eng., 2009


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