Publications

1. [Arxiv] MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. [PDF]

Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou. 

2. [Arxiv] HeroLT: Benchmarking Heterogeneous Long-Tailed Learning. [PDF]

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

3. [Arxiv] GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily. [PDF]

Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou. 

1. [KDD-2024] Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. [PDF][Code]

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

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2024.

2. [ICML-2024] EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. [PDF][Code]

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

International Conference on Machine Learning, 2024

3. [ICML-2024] Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. [PDF]

Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan

International Conference on Machine Learning, 2024

4. [IJCAI-2024] 3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups [PDF][Github]

Tingwei Chen*, Jianpeng Chen*, Dawei Zhou.  (*Equal contribution)

International Joint Conference on Artificial  Intelligence (IJCAI), 2024.

5. [ICDE-2024] FairGen: Towards Fair Graph Generation. [PDF]

Lecheng Zheng*, Dawei Zhou*, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He. (*Equal contribution)

IEEE International Conference on Data Engineering (ICDE), 2024.

6. [BigData-2023] Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs  [PDF]

Fatimah Alotaibi, Dawei Zhou.

IEEE International Conference on Big Data, December, 2023.  

7. [ICAIF-2023] TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks  [PDF]

Shuaicheng Zhang, Yada Zhu, Dawei Zhou.

ACM International Conference on AI in Finance, November 2023.  

8. [CSUR-2023] Rare Category Analysis for Complex Data: A Review  [PDF]

Dawei Zhou, Jingrui He.

ACM Computing Surveys, September 2023.

9. [KDD-2023] Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. [PDF][Code]

Longfeng Wu, Bowen Lei, Dongkuan Xu, and Dawei Zhou.

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2023.

10. [ICML-2023] Personalized Federated Learning under Mixture of Distributions. [PDF][Code]

Yue Wu*, Shuaicheng Zhang*, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng. (*Equal contribution)

International Conference on Machine Learning, 2023

11. [WWW-2023] Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. [PDF][Code]

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

The Web Conference 2023, April 2023. 

12. [ICDM-2022] Towards High-Order Complementary Recommendation via Logical Reasoning Network. [PDF][Slides][Code]

Longfeng Wu, Yao Zhou, and Dawei Zhou.

IEEE International Conference on Data Mining, November 2022. 

13. [ICDM-2022] Augmenting Knowledge Transfer across Graphs. [PDF][Slides][Code]

Yuzhen Mao, Jianhui Sun, and Dawei Zhou. 

IEEE International Conference on Data Mining, November 2022. 

14. [CIKM-2022] MentorGNN: Deriving Curriculum for Pre-Training GNNs. [PDF][Slides][Code]

Dawei Zhou*, Lecheng Zheng*, Dongqi Fu, Jiawei Han, Jingrui He. (*Equal contribution) 

ACM International Conference on Information and Knowledge Management, Oct 2022. 

15. [TMLR-2022] Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning. [PDF]

Linfeng Liu, Xu Han, Dawei Zhou, Liping Liu. 

Transactions on Machine Learning Research, 2022. 

16. [Thesis-2021] Harnessing rare category trinity for complex data. [PDF]

Dawei Zhou

17. [TKDD-2021] High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. [PDF]

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

ACM Transactions on Knowledge Discovery from Data, 2021. 

18. [KDD-2020] A Data-Driven Graph Generative Model for Temporal Interaction Networks. [PDF][Slides][Video][Code]

Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He. 

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2020. 

19. [KDD-2020] Local Motif Clustering on Time-Evolving Graphs. [PDF][Code]

Dongqi Fu, Dawei Zhou, Jingrui He. 

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2020. 

20. [WWW-2020] Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. [PDF][Slides][Code] (Oral Presentation)

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

The Web Conference 2020, April 2020. 

21. [AAAI-2020] Towards Fine-grained Temporal Network Representation via Time-Reinforced Random Walk. [PDF][Code]

Dawei Zhou*,  Zhining Liu*, Yada Zhu, Jinjie Gu, Jingrui He. (*Equal contribution) 

The Thirty-Fourth AAAI Conference on Artificial Intelligence, January 2020. 

22. [CIKM-2019] Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention. [PDF][Code]

Dawei Zhou*,  Zhining Liu*, Jingrui He. (*Equal contribution) 

ACM International Conference on Information and Knowledge Management. 

23. [KDD-2019] Rare Category Exploration, Exposition, Representation, and Interpretation. [PDF]

Dawei Zhou, Jingrui He. 

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2019.

24. [Frontier-2019] Misc-GAN: A Multi-Scale Generative Model for Graphs. [PDF][Code]

Dawei Zhou*, Lecheng Zheng*, Jiejun Xu, Jingrui He. (*Equal contribution)

Frontier, 2019. 

25. [FITEE-2019] RCAnalyzer: Visual Analytics of Rare Categories in Dynamic Networks. [PDF][Demo]

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

Frontiers of Information Technology & Electronic Engineering, 2019. 

26. [KDD-2018] SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization. [PDF][Video][Code]

Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan. 

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2018.

27. [BigData-2018] Motif-Preserving Dynamic Local Graph Cut. [PDF]

Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski. 

IEEE International Conference on Big Data, December 2018.

28. [KDD-2017] A Local Algorithm for Structure-Preserving Graph Cut. [PDF][Video][Code](Oral Presentation, AC Rate = 8.6%)

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

ACM: SIGKDD Conference on Knowledge Discovery and Data Mining, August 2017.

29. [SDM-2017] HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. [PDF][Slides][Code]

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

SIAM: SIAM International Conference on Data Mining, April 2017.

30. [ICDM-2016] Bi-level Rare Temporal Pattern Detection. [PDF](Full Paper, AC Rate = 8.5%)

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

IEEE International Conference on Data Mining, December 2016.

31. [DMKD-2016] Discovering Rare Categories from Graph Streams. [PDF]

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

Data Mining and Knowledge Discovery, 2016.

32. [TKDD-2015] Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. [PDF]

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

ACM Transactions on Knowledge Discovery from Data, 2015.

33. [TOSN-2015] REACH^2-Mote: A Range Extending Passive Wake-up Wireless Sensor Node. [PDF]

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

ACM Transactions on Sensor Networks, 2015.

34. [ICDM-2015] Rare Category Detection on Time-Evolving Graphs. [PDF][Code](Short Paper, AC Rate = 9.8%)

Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He. 

IEEE International Conference on Data Mining, November 2015.

35. [IJCAI-2015] MUVIR: Multi-View Rare Category Detection. [PDF](Long Presentation)

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

The 24th International Joint Conference on Artificial Intelligence, July 2015.

36. [AAAI-2015] Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing. [PDF]

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

The Twenty-Ninth AAAI Conference on Artificial Intelligence, January 2015.