Dawei Zhou

According to our database, Dawei Zhou authored at least 45 papers between 2015 and 2024.

Collaborative distances:

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

2024

Rare Category Analysis for Complex Data: A Review.

Dawei Zhou, Jingrui He

ACM Comput. Surv., May, 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

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang

CoRR, 2024

TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.

Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 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

3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups.

Tingwei Chen, Jianpeng Chen, Dawei Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.

Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

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

Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning.

Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan

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

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

HeroLT: Benchmarking Heterogeneous Long-Tailed Learning.

Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

CoRR, 2023

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily.

Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou

CoRR, 2023

Characterizing Long-Tail Categories on Graphs.

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

CoRR, 2023

Dynamic Transfer Learning across Graphs.

Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou

CoRR, 2023

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.

Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He

Proceedings of the ACM Web Conference 2023, 2023

Towards Reliable Rare Category Analysis on Graphs via Individual Calibration.

Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Personalized Federated Learning under Mixture of Distributions.

Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng

Proceedings of the International Conference on Machine Learning, 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

Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs.

Fatimah Alotaibi, Dawei Zhou

Proceedings of the IEEE International Conference on Big Data, 2023

2022

iNet: visual analysis of irregular transition in multivariate dynamic networks.

Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen

Frontiers Comput. Sci., 2022

Towards High-Order Complementary Recommendation via Logical Reasoning Network.

Longfeng Wu, Yao Zhou, Dawei Zhou

Proceedings of the IEEE International Conference on Data Mining, 2022

Augmenting Knowledge Transfer across Graphs.

Yuzhen Mao, Jianhui Sun, Dawei Zhou

Proceedings of the IEEE International Conference on Data Mining, 2022

MentorGNN: Deriving Curriculum for Pre-Training GNNs.

Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

TrustLOG: The First Workshop on Trustworthy Learning on Graphs.

Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective.

Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He

ACM Trans. Knowl. Discov. Data, 2021

2020

RCAnalyzer: visual analytics of rare categories in dynamic networks.

Jiacheng Pan, Dongming Han, Fangzhou Guo, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen

Frontiers Inf. Technol. Electron. Eng., 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

A Data-Driven Graph Generative Model for Temporal Interaction Networks.

Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Local Motif Clustering on Time-Evolving Graphs.

Dongqi Fu, Dawei Zhou, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.

Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 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

Misc-GAN: A Multi-scale Generative Model for Graphs.

Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He

Frontiers Big Data, 2019

Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.

Dawei Zhou, Jingrui He

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.

Zhining Liu, Dawei Zhou, Jingrui He

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

2018

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.

Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan

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

Motif-Preserving Dynamic Local Graph Cut.

Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Discovering rare categories from graph streams.

Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He

Data Min. Knowl. Discov., 2017

HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.

Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong

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

A Local Algorithm for Structure-Preserving Graph Cut.

Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.

Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He

ACM Trans. Knowl. Discov. Data, 2016

Bi-Level Rare Temporal Pattern Detection.

Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

REACH²-Mote: A Range-Extending Passive Wake-Up Wireless Sensor Node.

Li Chen, Jeremy Warner, Pak Lam Yung, Dawei Zhou, Wendi B. Heinzelman, Ilker Demirkol, Ufuk Muncuk, Kaushik R. Chowdhury, Stefano Basagni

ACM Trans. Sens. Networks, 2015

MUVIR: Multi-View Rare Category Detection.

Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Rare Category Detection on Time-Evolving Graphs.

Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing.

Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry A. Kautz

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015