Yada Zhu

Orcid: 0000-0002-3338-6371

According to our database1, Yada Zhu authored at least 66 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
ArieL: Adversarial Graph Contrastive Learning.
ACM Trans. Knowl. Discov. Data, May, 2024

Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection.
CoRR, 2024

When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods.
CoRR, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.
CoRR, 2024

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Attacks on Fairness of Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Active Learning Beyond Bandits.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairgen: Towards Fair Graph Generation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Self-Specialization: Uncovering Latent Expertise within Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Sterling: Synergistic Representation Learning on Bipartite Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Self-Specialization: Uncovering Latent Expertise within Large Language Models.
CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.
CoRR, 2023

Characterizing Long-Tail Categories on Graphs.
CoRR, 2023

Fairness-aware Multi-view Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Earnings Call Analysis Using a Sparse Attention Based Encoder and Multi-Source Counterfactual Augmentation.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Dynamic Covariance Estimation under Structural Assumptions via a Joint Optimization Approach.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Retrieval Based Time Series Forecasting.
CoRR, 2022

COIN: Co-Cluster Infomax for Bipartite Graphs.
CoRR, 2022

Adversarial Graph Contrastive Learning with Information Regularization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Structure Meets Sequences: Predicting Network of Co-evolving Sequences.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Contrastive Learning with Complex Heterogeneity.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis.
CoRR, 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

Probabilistic framework for modeling event shocks to financial time series.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 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

Toward Scalable Artificial Intelligence in Finance.
Proceedings of the IEEE International Conference on Services Computing, 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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