Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing. - Dawei Zhou 003; Jiebo Luo 001; Vincent M. B. Silenzio; Yun Zhou; Jile Hu; Glenn Currier; Henry A. Kautz (AAAI, 2015)

Rare Category Detection on Time-Evolving Graphs. - Dawei Zhou 003; Kangyang Wang; Nan Cao 001; Jingrui He (ICDM, 2015)

MUVIR: Multi-View Rare Category Detection. - Dawei Zhou 003; Jingrui He; K. Selçuk Candan; Hasan Davulcu (IJCAI, 2015)

REACH2-Mote: A Range-Extending Passive Wake-Up Wireless Sensor Node. - Li Chen; Jeremy Warner; Pak Lam Yung; Dawei Zhou 003; Wendi B. Heinzelman; Ilker Demirkol; Ufuk Muncuk; Kaushik R. Chowdhury; Stefano Basagni (ACM Trans. Sens. Networks, 2015)

Bi-Level Rare Temporal Pattern Detection. - Dawei Zhou 003; Jingrui He; Yu Cao 001; Jae-sun Seo (ICDM, 2016)

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics. - Pei Yang 001; Hongxia Yang; Haoda Fu; Dawei Zhou 003; Jieping Ye; Theodoros Lappas; Jingrui He (ACM Trans. Knowl. Discov. Data, 2016)

A Local Algorithm for Structure-Preserving Graph Cut. - Dawei Zhou 003; Si Zhang; Mehmet Yigit Yildirim; Scott Alcorn; Hanghang Tong; Hasan Davulcu; Jingrui He (KDD, 2017)

HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. - Si Zhang; Dawei Zhou 003; Mehmet Yigit Yildirim; Scott Alcorn; Jingrui He; Hasan Davulcu; Hanghang Tong (SDM, 2017)

Discovering rare categories from graph streams. - Dawei Zhou 003; Arun Karthikeyan; Kangyang Wang; Nan Cao 001; Jingrui He (Data Min. Knowl. Discov., 2017)

Motif-Preserving Dynamic Local Graph Cut. - Dawei Zhou 003; Jingrui He; Hasan Davulcu; Ross Maciejewski (IEEE BigData, 2018)

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization. - Dawei Zhou 003; Jingrui He; Hongxia Yang; Wei Fan 001 (KDD, 2018)

Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. - Zhining Liu 001; Dawei Zhou 003; Jingrui He (CIKM, 2019)

Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation. - Dawei Zhou 003; Jingrui He (KDD, 2019)

Misc-GAN: A Multi-scale Generative Model for Graphs. - Dawei Zhou 003; Lecheng Zheng; Jiejun Xu; Jingrui He (Frontiers Big Data, 2019)

Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. - Zhining Liu 001; Dawei Zhou 003; Yada Zhu; Jinjie Gu; Jingrui He (AAAI, 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 003; Jun Wu 019; Lihui Liu; Yuchen Yan; Jingrui He; et al. (IEEE BigData, 2020)

Local Motif Clustering on Time-Evolving Graphs. - Dongqi Fu; Dawei Zhou 003; Jingrui He (KDD, 2020)

A Data-Driven Graph Generative Model for Temporal Interaction Networks. - Dawei Zhou 003; Lecheng Zheng; Jiawei Han 001; Jingrui He (KDD, 2020)

Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. - Dawei Zhou 003; Lecheng Zheng; Yada Zhu; Jianbo Li; Jingrui He (WWW, 2020)

RCAnalyzer: visual analytics of rare categories in dynamic networks. - Jiacheng Pan; Dongming Han; Fangzhou Guo; Dawei Zhou 003; Nan Cao 001; Jingrui He; Mingliang Xu 001; Wei Chen 001 (Frontiers Inf. Technol. Electron. Eng., 2020)

High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. - Dawei Zhou 003; Si Zhang; Mehmet Yigit Yildirim; Scott Alcorn; Hanghang Tong; Hasan Davulcu; Jingrui He (ACM Trans. Knowl. Discov. Data, 2021)

TrustLOG: The First Workshop on Trustworthy Learning on Graphs. - Jian Kang 008; Shuaicheng Zhang; Bo Li 026; Jingrui He; Jian Pei 001; Dawei Zhou 003 (CIKM, 2022)

MentorGNN: Deriving Curriculum for Pre-Training GNNs. - Dawei Zhou 003; Lecheng Zheng; Dongqi Fu; Jiawei Han 001; Jingrui He (CIKM, 2022)

Augmenting Knowledge Transfer across Graphs. - Yuzhen Mao; Jianhui Sun; Dawei Zhou 003 (ICDM, 2022)

Towards High-Order Complementary Recommendation via Logical Reasoning Network. - Longfeng Wu; Yao Zhou; Dawei Zhou 003 (ICDM, 2022)

iNet: visual analysis of irregular transition in multivariate dynamic networks. - Dongming Han; Jiacheng Pan; Rusheng Pan; Dawei Zhou 003; Nan Cao 001; Jingrui He; Mingliang Xu 001; Wei Chen 001 (Frontiers Comput. Sci., 2022)

Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. - Fatimah Alotaibi; Dawei Zhou 003 (IEEE Big Data, 2023)

TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks. - Shuaicheng Zhang; Yada Zhu; Dawei Zhou 003 (ICAIF, 2023)

Personalized Federated Learning under Mixture of Distributions. - Yue Wu; Shuaicheng Zhang; Wenchao Yu; Yanchi Liu; Quanquan Gu; Dawei Zhou 003; Haifeng Chen; Wei Cheng 002 (ICML, 2023)

Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. - Longfeng Wu; Bowen Lei; Dongkuan Xu; Dawei Zhou 003 (KDD, 2023)

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. - Dongqi Fu; Dawei Zhou 003; Ross Maciejewski; Arie Croitoru; Marcus Boyd; Jingrui He (WWW, 2023)

Dynamic Transfer Learning across Graphs. - Haohui Wang; Yuzhen Mao; Jianhui Sun; Si Zhang; Dawei Zhou 003 (CoRR, 2023)

Characterizing Long-Tail Categories on Graphs. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Dawei Zhou 003 (CoRR, 2023)

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily. - Shuaicheng Zhang; Haohui Wang; Si Zhang; Dawei Zhou 003 (CoRR, 2023)

HeroLT: Benchmarking Heterogeneous Long-Tailed Learning. - Haohui Wang; Weijie Guan; Jianpeng Chen; Zi Wang; Dawei Zhou 003 (CoRR, 2023)

UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning. - Junhong Lin; Xiaojie Guo 002; Shuaicheng Zhang; Dawei Zhou 003; Yada Zhu; Julian Shun (IEEE Big Data, 2024)

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CIKM, 2024)

Fairgen: Towards Fair Graph Generation. - Lecheng Zheng; Dawei Zhou 003; Hanghang Tong; Jiejun Xu; Yada Zhu; Jingrui He (ICDE, 2024)

Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning. - Zheng Huang; Qihui Yang; Dawei Zhou 003; Yujun Yan (ICML, 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 003 (ICML, 2024)

3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups. - Tingwei Chen; Jianpeng Chen; Dawei Zhou 003 (IJCAI, 2024)

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Wei Cheng 002; Si Zhang; Yonghui Fan; Liqing Zhang 002; Dawei Zhou 003 (KDD, 2024)

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox. - Haohui Wang; Weijie Guan; Jianpeng Chen; Zi Wang; Dawei Zhou 003 (NeurIPS, 2024)

TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. - Jingrui He; Jian Kang 008; Fatemeh Nargesian; Haohui Wang; An Zhang 003; Dawei Zhou 003 (WWW (Companion Volume), 2024)

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CoRR, 2024)

When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. - Junhong Lin; Xiaojie Guo 002; Shuaicheng Zhang; Dawei Zhou 003; Yada Zhu; Julian Shun (CoRR, 2024)

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. - Jingyuan Qi; Zian Jia; Minqian Liu; Wangzhi Zhan; Junkai Zhang; Xiaofei Wen; Jingru Gan; Jianpeng Chen; Qin Liu 010; Mingyu Derek Ma; Bangzheng Li; Haohui Wang; et al. (CoRR, 2024)

Rare Category Analysis for Complex Data: A Review. - Dawei Zhou 003; Jingrui He (ACM Comput. Surv., 2024)

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. - Weijie Guan; Haohui Wang; Jian Kang 008; Lihui Liu; Dawei Zhou 003 (KDD (2), 2025)

MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance. - Shuaicheng Zhang; Tuo Wang; Stephen Adams; Sanmitra Bhattacharya; Sunil Reddy Tiyyagura; Edward Bowen; Balaji Veeramani; Dawei Zhou 003 (KDD (1), 2025)

Cross-Domain Conditional Diffusion Models for Time Series Imputation. - Kexin Zhang 007; Baoyu Jing; K. Selçuk Candan; Dawei Zhou 003; Qingsong Wen; Han Liu; Kaize Ding (ECML/PKDD (8), 2025)

Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery. - Fatimah Alotaibi; Adithya Kulkarni; Dawei Zhou 003 (SDM, 2025)

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. - Lifu Huang; Danai Koutra; Adithya Kulkarni; Temiloluwa Prioleau; Qingyun Wu; Yujun Yan; Yaoqing Yang; James Zou 001; Dawei Zhou 003 (WWW (Companion Volume), 2025)

Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs. - Longfeng Wu; Yao Zhou; Jian Kang 008; Dawei Zhou 003 (WWW, 2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. - Lihui Liu; Zihao Wang 001; Dawei Zhou 003; Ruijie Wang 004; Yuchen Yan; Bo Xiong; Sihong He; Kai Shu; Hanghang Tong (CoRR, 2025)

LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. - Xinyue Zeng; Haohui Wang; Junhong Lin; Jun Wu 019; Tyler Cody; Dawei Zhou 003 (CoRR, 2025)

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions. - Adithya Kulkarni; Fatimah Alotaibi; Xinyue Zeng; Longfeng Wu; Tong Zeng; Barry Menglong Yao; Minqian Liu; Shuaicheng Zhang; Lifu Huang; Dawei Zhou 003 (CoRR, 2025)

Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. - Junhong Lin; Xinyue Zeng; Jie Zhu; Song Wang 013; Julian Shun; Jun Wu 019; Dawei Zhou 003 (CoRR, 2025)

MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. - Jianpeng Chen; Wangzhi Zhan; Haohui Wang; Zian Jia; Jingru Gan; Junkai Zhang; Jingyuan Qi; Tingwei Chen; Lifu Huang; Muhao Chen 001; Ling Li; Wei Wang 010; et al. (CoRR, 2025)

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. - Weijie Guan; Haohui Wang; Jian Kang 008; Lihui Liu; Dawei Zhou 003 (CoRR, 2025)

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. - Wangzhi Zhan; Jianpeng Chen; Dongqi Fu; Dawei Zhou 003 (CoRR, 2025)

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. - Tuo Wang; Jian Kang 008; Yujun Yan; Adithya Kulkarni; Dawei Zhou 003 (CoRR, 2025)

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. - Tuo Wang; Adithya Kulkarni; Tyler Cody; Peter A. Beling; Yujun Yan; Dawei Zhou 003 (CoRR, 2025)

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations. - Shuaicheng Zhang; Haohui Wang; Junhong Lin; Xiaojie Guo 002; Yada Zhu; Si Zhang; Dongqi Fu; Dawei Zhou 003 (CoRR, 2025)

MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science. - Junkai Zhang; Jingru Gan; Xiaoxuan Wang; Zian Jia; Changquan Gu; Jianpeng Chen; Yanqiao Zhu 001; Mingyu Derek Ma; Dawei Zhou 003; Ling Li; Wei Wang 010 (CoRR, 2025)

Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI. - Zheng Huang; Enpei Zhang; Yinghao Cai; Weikang Qiu; Carl Yang 001; Elynn Chen; Xiang Zhang 012; Rex Ying; Dawei Zhou 003; Yujun Yan (CoRR, 2025)