Yada Zhu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 63

Top Topics

Bipartite Graph

Financial Forecasting

Reinforcement Learning

Financial Time Series

Top Venues

Publications

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. CoRR (2024)
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. CoRR (2024)
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Neural Active Learning Beyond Bandits. ICLR (2024)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
Fairgen: Towards Fair Graph Generation. ICDE (2024)
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. NAACL-HLT (2024)
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. KDD (2024)
Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) (2024)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI (2024)
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks. ICLR (2024)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR (2024)
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. CoRR (2024)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR (2023)
Shuaicheng Zhang, Yada Zhu, Dawei Zhou
TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks. ICAIF (2023)
Lecheng Zheng, Yada Zhu, Jingrui He
Fairness-aware Multi-view Clustering. CoRR (2023)
Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR (2023)
Wenyu Chen, Riade Benbaki, Yada Zhu, Rahul Mazumder
Dynamic Covariance Estimation under Structural Assumptions via a Joint Optimization Approach. ICAIF (2023)
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR (2023)
Zixuan Yuan, Yada Zhu, Wei Zhang, Hui Xiong
Earnings Call Analysis Using a Sparse Attention Based Encoder and Multi-Source Counterfactual Augmentation. ICAIF (2023)
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD (2023)
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Adversarial Attacks on Fairness of Graph Neural Networks. CoRR (2023)
Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
Topological Augmentation for Class-Imbalanced Node Classification. CoRR (2023)
Lecheng Zheng, Yada Zhu, Jingrui He
Fairness-aware Multi-view Clustering. SDM (2023)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
FairGen: Towards Fair Graph Generation. CoRR (2023)
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou
Characterizing Long-Tail Categories on Graphs. CoRR (2023)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
ARIEL: Adversarial Graph Contrastive Learning. CoRR (2022)
Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. ICAIF (2022)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
Adversarial Graph Contrastive Learning with Information Regularization. WWW (2022)
Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR (2022)
Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
Retrieval Based Time Series Forecasting. CoRR (2022)
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
Contrastive Learning with Complex Heterogeneity. KDD (2022)
Di Chen, Yada Zhu, Miao Liu, Jianbo Li
Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment. ICAIF (2022)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
Adversarial Graph Contrastive Learning with Information Regularization. CoRR (2022)
Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM (2022)
Baoyu Jing, Hanghang Tong, Yada Zhu
Network of Tensor Time Series. WWW (2021)
Zixuan Yuan, Yada Zhu, Wei Zhang, Ziming Huang, Guangnan Ye, Hui Xiong
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis. CoRR (2021)
Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
Outlier Impact Characterization for Time Series Data. AAAI (2021)
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
Heterogeneous Contrastive Learning. CoRR (2021)
Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation. ACL/IJCNLP (1) (2021)
Yada Zhu, Wenyu Chen, Yang Zhang, Tian Gao, Jianbo Li
Probabilistic framework for modeling event shocks to financial time series. ICAIF (2021)
Baoyu Jing, Hanghang Tong, Yada Zhu
Network of Tensor Time Series. CoRR (2021)
Jorge L. C. Sanz, Yada Zhu
Toward Scalable Artificial Intelligence in Finance. SCC (2021)
Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
On Sample Based Explanation Methods for NLP: Efficiency, Faithfulness, and Semantic Evaluation. CoRR (2021)
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. CoRR (2020)
Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI (2020)
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. AAAI (2020)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. IJCAI (2020)
Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. WWW (2020)
Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
Task-Based Learning via Task-Oriented Prediction Network. CoRR (2019)
Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
Robust Embedded Deep K-means Clustering. CIKM (2019)
Pei Yang, Qi Tan, Yada Zhu, Jingrui He
Heterogeneous representation learning with separable structured sparsity regularization. Knowl. Inf. Syst. 55 (3) (2018)
Yada Zhu, Jianbo Li, Jingrui He, Brian L. Quanz, Ajay A. Deshpande
A Local Algorithm for Product Return Prediction in E-Commerce. IJCAI (2018)
Jianbo Li, Jingrui He, Yada Zhu
E-tail Product Return Prediction via Hypergraph-based Local Graph Cut. KDD (2018)
Hongxia Yang, Yada Zhu, Jingrui He
Local Algorithm for User Action Prediction Towards Display Ads. KDD (2017)
Jianbo Li, Jingrui He, Yada Zhu
HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data. ICDM (2017)
Yada Zhu, Jianbo Li, Jingrui He
Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach. SDM (2017)
Yada Zhu, Jingrui He
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He
A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Dzung T. Phan, Yada Zhu
Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems. Eur. J. Oper. Res. 245 (3) (2015)
Yada Zhu, Hongxia Yang, Jingrui He
Co-Clustering based Dual Prediction for Cargo Pricing Optimization. KDD (2015)
Yada Zhu, Jingrui He, Richard D. Lawrence
A general framework for predictive tensor modeling with domain knowledge. Data Min. Knowl. Discov. 29 (6) (2015)
Yada Zhu, Jinjun Xiong
Modern Big Data Analytics for "Old-fashioned" Semiconductor Industry Applications. ICCAD (2015)
Yada Zhu, Jingrui He
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing. ICDM (2014)
Yada Zhu, Emmanuel Yashchin, Jonathan R. M. Hosking
Parametric Estimation for Window Censored Recurrence Data. Technometrics 56 (1) (2014)
Jingrui He, Yada Zhu
Hierarchical Multi-task Learning with Application to Wafer Quality Prediction. ICDM (2012)
Yada Zhu, Jingrui He, Rick Lawrence
Hierarchical Modeling with Tensor Inputs. AAAI (2012)
Yada Zhu, Mingyu Li, Christina M. Young, Minge Xie, Elsayed A. Elsayed
Impact of measurement error on container inspection policies at port-of-entry. Ann. Oper. Res. 187 (1) (2011)
Christina M. Young, Mingyu Li, Yada Zhu, Minge Xie, Elsayed A. Elsayed, T. Asamov
Multiobjective Optimization of a Port-of-Entry Inspection Policy. IEEE Trans Autom. Sci. Eng. 7 (2) (2010)
Yada Zhu, Elsayed A. Elsayed, Haitao Liao, Ling-Yau Chan
Availability optimization of systems subject to competing risk. Eur. J. Oper. Res. 202 (3) (2010)
Elsayed A. Elsayed, Christina M. Young, Minge Xie, Hao Zhang, Yada Zhu
Port-of-Entry Inspection: Sensor Deployment Policy Optimization. IEEE Trans Autom. Sci. Eng. 6 (2) (2009)