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ORCIDDawei Zhou 0003
Person information
- affiliation: Virginia Tech, VA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, IL, USA
- affiliation (former): Arizona State University, Tempe, Arizona, USA
- affiliation (former): University of Rochester, Rochester, NY, USA
Other persons with the same name
- Dawei Zhou — disambiguation page
- Da-Wei Zhou 0001
![[0000-0001-7226-7773]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7226-7773")
(aka: Dawei Zhou 0001) — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China - Dawei Zhou 0004 — Xidian University, Xi'an, China
- Dawei Zhou 0006 — Jiangsu University, Zhenjiang, China
- Dawei Zhou 0008 — China University of Mining and Technology, Xuzhou, China
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2020 – today
- 2024
[j8]Dawei Zhou, Jingrui He:
Rare Category Analysis for Complex Data: A Review. ACM Comput. Surv. 56(5): 123:1-123:35 (2024)- [c31]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CIKM 2024: 1027-1037 - [c30]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
Fairgen: Towards Fair Graph Generation. ICDE 2024: 2285-2297 - [c29]Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan:
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. ICML 2024 - [c28]Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou:
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML 2024 - [c27]Tingwei Chen, Jianpeng Chen, Dawei Zhou:
3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups. IJCAI 2024: 8635-8639 - [c26]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: 3045-3056 - [c25]Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou:
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. WWW (Companion Volume) 2024: 1785-1788 - [i13]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR abs/2403.11960 (2024) - [i12]Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan:
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. CoRR abs/2406.04601 (2024) - [i11]Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun:
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. CoRR abs/2407.10916 (2024) - 2023
- [c24]Fatimah Alotaibi, Dawei Zhou:
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. IEEE Big Data 2023: 1-5 - [c23]Shuaicheng Zhang, Yada Zhu, Dawei Zhou:
TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks. ICAIF 2023: 219-226 - [c22]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. ICML 2023: 37860-37879 - [c21]Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. KDD 2023: 2629-2638 - [c20]Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He:
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. WWW 2023: 3755-3765 - [i10]Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He:
FairGen: Towards Fair Graph Generation. CoRR abs/2303.17743 (2023) - [i9]Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou:
Dynamic Transfer Learning across Graphs. CoRR abs/2305.00664 (2023) - [i8]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. CoRR abs/2305.01068 (2023) - [i7]Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou:
Characterizing Long-Tail Categories on Graphs. CoRR abs/2305.09938 (2023) - [i6]Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou:
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily. CoRR abs/2306.14340 (2023) - [i5]Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou:
HeroLT: Benchmarking Heterogeneous Long-Tailed Learning. CoRR abs/2307.08235 (2023) - [i4]Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou:
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. CoRR abs/2307.09858 (2023) - 2022
- [j7]Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen:
iNet: visual analysis of irregular transition in multivariate dynamic networks. Frontiers Comput. Sci. 16(2): 162701 (2022) - [c19]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM 2022: 2721-2731 - [c18]Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou:
TrustLOG: The First Workshop on Trustworthy Learning on Graphs. CIKM 2022: 5169-5170 - [c17]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. ICDM 2022: 1101-1106 - [c16]Longfeng Wu, Yao Zhou, Dawei Zhou:
Towards High-Order Complementary Recommendation via Logical Reasoning Network. ICDM 2022: 1227-1232 - [i3]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR abs/2208.09905 (2022) - [i2]Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. CoRR abs/2212.04725 (2022) - [i1]Longfeng Wu, Yao Zhou, Dawei Zhou:
Towards High-Order Complementary Recommendation via Logical Reasoning Network. CoRR abs/2212.04966 (2022) - 2021
- [j6]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data 15(2): 18:1-18:26 (2021) - 2020
- [j5]Jiacheng Pan, Dongming Han, Fangzhou Guo, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen:
RCAnalyzer: visual analytics of rare categories in dynamic networks. Frontiers Inf. Technol. Electron. Eng. 21(4): 491-506 (2020) - [c15]Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He:
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI 2020: 4973-4980 - [c14]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:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c13]Dongqi Fu, Dawei Zhou, Jingrui He:
Local Motif Clustering on Time-Evolving Graphs. KDD 2020: 390-400 - [c12]Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He:
A Data-Driven Graph Generative Model for Temporal Interaction Networks. KDD 2020: 401-411 - [c11]Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He:
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. WWW 2020: 2230-2240
2010 – 2019
- 2019
- [j4]Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He:
Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers Big Data 2: 3 (2019) - [c10]Zhining Liu, Dawei Zhou, Jingrui He:
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. CIKM 2019: 2137-2140 - [c9]Dawei Zhou, Jingrui He:
Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation. KDD 2019: 3213-3214 - 2018
- [c8]Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski:
Motif-Preserving Dynamic Local Graph Cut. IEEE BigData 2018: 1156-1161 - [c7]Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan:
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization. KDD 2018: 2807-2816 - 2017
- [j3]Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He:
Discovering rare categories from graph streams. Data Min. Knowl. Discov. 31(2): 400-423 (2017) - [c6]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017: 655-664 - [c5]Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong:
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SDM 2017: 570-578 - 2016
- [j2]Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He:
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. ACM Trans. Knowl. Discov. Data 10(4): 39:1-39:25 (2016) - [c4]Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo:
Bi-Level Rare Temporal Pattern Detection. ICDM 2016: 719-728 - 2015
- [j1]Li Chen, Jeremy Warner, Pak Lam Yung, Dawei Zhou, Wendi B. Heinzelman, Ilker Demirkol, Ufuk Muncuk, Kaushik R. Chowdhury, Stefano Basagni:
REACH2-Mote: A Range-Extending Passive Wake-Up Wireless Sensor Node. ACM Trans. Sens. Networks 11(4): 64:1-64:33 (2015) - [c3]Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry A. Kautz:
Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing. AAAI 2015: 1401-1409 - [c2]Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He:
Rare Category Detection on Time-Evolving Graphs. ICDM 2015: 1135-1140 - [c1]Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu:
MUVIR: Multi-View Rare Category Detection. IJCAI 2015: 4098-4104
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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