Yada Zhu

According to our database, Yada Zhu authored at least 67 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ArieL: Adversarial Graph Contrastive Learning.

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

ACM Trans. Knowl. Discov. Data, May, 2024

Enterprise Benchmarks for Large Language Model Evaluation.

Bing Zhang, Mikio Takeuchi, Ryo Kawahara, Shubhi Asthana, Md. Maruf Hossain, Guang-Jie Ren, Kate Soule, Yada Zhu

CoRR, 2024

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

Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He

CoRR, 2024

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

Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun

CoRR, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

CoRR, 2024

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models.

Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang

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.

Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series.

Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Attacks on Fairness of Graph Neural Networks.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Active Learning Beyond Bandits.

Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fairgen: Towards Fair Graph Generation.

Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection.

Junhong Lin, Xiaojie Guo, Yada Zhu, Samuel Mitchell, Erik Altman, Julian Shun

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

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

Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Sterling: Synergistic Representation Learning on Bipartite Graphs.

Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky

CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 2023

Characterizing Long-Tail Categories on Graphs.

Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou

CoRR, 2023

Fairness-aware Multi-view Clustering.

Lecheng Zheng, Yada Zhu, Jingrui He

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.

Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong

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.

Shuaicheng Zhang, Yada Zhu, Dawei Zhou

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.

Zixuan Yuan, Yada Zhu, Wei Zhang, Hui Xiong

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Dynamic Covariance Estimation under Structural Assumptions via a Joint Optimization Approach.

Wenyu Chen, Riade Benbaki, Yada Zhu, Rahul Mazumder

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Retrieval Based Time Series Forecasting.

Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong

CoRR, 2022

COIN: Co-Cluster Infomax for Bipartite Graphs.

Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong

CoRR, 2022

Adversarial Graph Contrastive Learning with Information Regularization.

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

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.

Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong

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.

Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He

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.

Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment.

Di Chen, Yada Zhu, Miao Liu, Jianbo Li

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

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

Zixuan Yuan, Yada Zhu, Wei Zhang, Ziming Huang, Guangnan Ye, Hui Xiong

CoRR, 2021

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

Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang

CoRR, 2021

Heterogeneous Contrastive Learning.

Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong

CoRR, 2021

Network of Tensor Time Series.

Baoyu Jing, Hanghang Tong, Yada Zhu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Probabilistic framework for modeling event shocks to financial time series.

Yada Zhu, Wenyu Chen, Yang Zhang, Tian Gao, Jianbo Li

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.

Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang

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.

Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Toward Scalable Artificial Intelligence in Finance.

Jorge L. C. Sanz, Yada Zhu

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

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

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li

CoRR, 2020

Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.

Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He

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.

Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.

Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Task-Based Learning via Task-Oriented Prediction Network.

Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes

CoRR, 2019

Robust Embedded Deep K-means Clustering.

Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Social Phishing.

Yada Zhu, Jingrui He

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

Heterogeneous representation learning with separable structured sparsity regularization.

Pei Yang, Qi Tan, Yada Zhu, Jingrui He

Knowl. Inf. Syst., 2018

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut.

Jianbo Li, Jingrui He, Yada Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Local Algorithm for Product Return Prediction in E-Commerce.

Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach.

Yada Zhu, Jianbo Li, Jingrui He

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Local Algorithm for User Action Prediction Towards Display Ads.

Hongxia Yang, Yada Zhu, Jingrui He

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.

Jianbo Li, Jingrui He, Yada Zhu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning.

Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He

IEEE Trans. Knowl. Data Eng., 2016

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing.

Yada Zhu, Jingrui He

ACM Trans. Knowl. Discov. Data, 2016

2015

Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems.

Dzung T. Phan, Yada Zhu

Eur. J. Oper. Res., 2015

A general framework for predictive tensor modeling with domain knowledge.

Yada Zhu, Jingrui He, Richard D. Lawrence

Data Min. Knowl. Discov., 2015

Co-Clustering based Dual Prediction for Cargo Pricing Optimization.

Yada Zhu, Hongxia Yang, Jingrui He

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.

Yada Zhu, Jinjun Xiong

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

2014

Social Engineering/Phishing.

Jingrui He, Yada Zhu

Encyclopedia of Social Network Analysis and Mining, 2014

Parametric Estimation for Window Censored Recurrence Data.

Yada Zhu, Emmanuel Yashchin, Jonathan R. M. Hosking

Technometrics, 2014

2012

Hierarchical Multi-task Learning with Application to Wafer Quality Prediction.

Jingrui He, Yada Zhu

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical Modeling with Tensor Inputs.

Yada Zhu, Jingrui He, Rick Lawrence

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Impact of measurement error on container inspection policies at port-of-entry.

Yada Zhu, Mingyu Li, Christina M. Young, Minge Xie, Elsayed A. Elsayed

Ann. Oper. Res., 2011

2010

Multiobjective Optimization of a Port-of-Entry Inspection Policy.

Christina M. Young, Mingyu Li, Yada Zhu, Minge Xie, Elsayed A. Elsayed, T. Asamov

IEEE Trans Autom. Sci. Eng., 2010

Availability optimization of systems subject to competing risk.

Yada Zhu, Elsayed A. Elsayed, Haitao Liao, Ling-Yau Chan

Eur. J. Oper. Res., 2010

2009

Port-of-Entry Inspection: Sensor Deployment Policy Optimization.

Elsayed A. Elsayed, Christina M. Young, Minge Xie, Hao Zhang, Yada Zhu

IEEE Trans Autom. Sci. Eng., 2009