Dawei Zhou

92 papers A* 26A 7B 3Journal 40Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs.
CoRR
Xinyue Zeng, Junhong Lin, Yujun Yan, Feng Guo, Liang Shi, Jun Wu, Dawei Zhou
2025 — conf
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding.
KDD (2)
Tong Zeng, Longfeng Wu, Liang Shi, Dawei Zhou, Feng Guo
2025 J jnl
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding.
CoRR
Tong Zeng, Longfeng Wu, Liang Shi, Dawei Zhou, Feng Guo
2025 A* conf
Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search.
ICDM
Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng, Bhanu Pratap Singh Rawat, Lecheng Zheng, Giovanni Seni, Dawei Zhou
2025 A* conf
Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs.
WWW
Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou
2025 — conf
Cross-Domain Conditional Diffusion Models for Time Series Imputation.
ECML/PKDD (8)
Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding
2025 J jnl
Cross-Domain Conditional Diffusion Models for Time Series Imputation.
CoRR
Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding
2025 J jnl
DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts.
CoRR
Xinyue Zeng, Tuo Wang, Adithya Kulkarni, Alexander Lu, Alexandra Ni, Phoebe Xing, Junhan Zhao, Siwei Chen, Dawei Zhou
2025 J jnl
Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures.
CoRR
Haohui Wang, Jingyuan Qi, Jianpeng Chen, Jun Wu, Lifu Huang, Lecheng Zheng, Kevin Choi, Balaji Veeramani, Edward Bowen, Alison Hu, Tyler Cody, Dawei Zhou
2025 — conf
EVI
KDD (2)
Weijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou
2025 J jnl
EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network.
CoRR
Weijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou
2025 A conf
Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks.
CIKM
Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong
2025 — conf
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models.
EMNLP (Findings)
Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025 J jnl
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models.
CoRR
Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025 J jnl
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations.
CoRR
Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
2025 A conf
Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery.
SDM
Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou
2025 J jnl
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection.
CoRR
Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou
2025 A* conf
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection.
ICML
Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou
2025 J jnl
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science.
CoRR
Junkai Zhang, Jingru Gan, Xiaoxuan Wang, Zian Jia, Changquan Gu, Jianpeng Chen, Yanqiao Zhu, Mingyu Derek Ma, Dawei Zhou, Ling Li, Wei Wang
2025 — conf
MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.
KDD (1)
Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou
2025 — conf
MetaRef: A Generalizable Physics-Aware Refinement Framework for Metamaterial Design.
ICDM (Workshops)
Alexander Lu, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou
2025 — conf
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design.
NAACL (System Demonstrations)
Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang
2025 — conf
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery.
KDD (2)
Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou
2025 J jnl
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery.
CoRR
Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou
2025 — conf
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks.
KDD (2)
Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025 J jnl
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks.
CoRR
Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025 J jnl
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning.
CoRR
Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou
2025 — conf
SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments.
EMNLP (Findings)
Joshua Alan Flashner, Adithya Kulkarni, Dawei Zhou
2025 J jnl
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions.
CoRR
Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng, Longfeng Wu, Tong Zeng, Barry Menglong Yao, Minqian Liu, Shuaicheng Zhang, Lifu Huang, Dawei Zhou
2025 J jnl
Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI.
CoRR
Zheng Huang, Enpei Zhang, Yinghao Cai, Weikang Qiu, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan
2025 — conf
The End of Trial-and-Error: A Vision for Generative Intelligence in Metamaterial Design.
ICDM (Workshops)
Adithya Kulkarni, Haohui Wang, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou
2025 — conf
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation.
WWW (Companion Volume)
Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou
2025 J jnl
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion.
CoRR
Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Kai Shu, Hanghang Tong
2025 A* conf
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation.
ICML
Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou
2025 J jnl
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation.
CoRR
Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou
2024 A* conf
3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups.
IJCAI
Tingwei Chen, Jianpeng Chen, Dawei Zhou
2024 J jnl
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
CoRR
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024 A conf
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
CIKM
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024 A* conf
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning.
ICML
Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan
2024 J jnl
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning.
CoRR
Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan
2024 A* conf
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.
ICML
Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou
2024 A* conf
Fairgen: Towards Fair Graph Generation.
ICDE
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024 B conf
Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic.
IEEE Big Data
Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou
2024 A* conf
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization.
KDD
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
2024 J jnl
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design.
CoRR
Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang
2024 J jnl
Rare Category Analysis for Complex Data: A Review.
ACM Comput. Surv.
Dawei Zhou, Jingrui He
2024 J jnl
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.
CoRR
Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang
2024 A* conf
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox.
NeurIPS
Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou
2024 — conf
TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.
WWW (Companion Volume)
Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou
2024 B conf
UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning.
IEEE Big Data
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2024 J jnl
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods.
CoRR
Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2023 J jnl
Characterizing Long-Tail Categories on Graphs.
CoRR
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou
2023 J jnl
Dynamic Transfer Learning across Graphs.
CoRR
Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou
2023 J jnl
FairGen: Towards Fair Graph Generation.
CoRR
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2023 A* conf
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.
WWW
Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
2023 J jnl
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily.
CoRR
Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou
2023 J jnl
HeroLT: Benchmarking Heterogeneous Long-Tailed Learning.
CoRR
Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou
2023 A* conf
Personalized Federated Learning under Mixture of Distributions.
ICML
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 J jnl
Personalized Federated Learning under Mixture of Distributions.
CoRR
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 — conf
TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks.
ICAIF
Shuaicheng Zhang, Yada Zhu, Dawei Zhou
2023 B conf
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs.
IEEE Big Data
Fatimah Alotaibi, Dawei Zhou
2023 A* conf
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration.
KDD
Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
2023 J jnl
Towards Reliable Rare Category Analysis on Graphs via Individual Calibration.
CoRR
Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
2022 A* conf
Augmenting Knowledge Transfer across Graphs.
ICDM
Yuzhen Mao, Jianhui Sun, Dawei Zhou
2022 J jnl
Augmenting Knowledge Transfer across Graphs.
CoRR
Yuzhen Mao, Jianhui Sun, Dawei Zhou
2022 A conf
MentorGNN: Deriving Curriculum for Pre-Training GNNs.
CIKM
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022 J jnl
MentorGNN: Deriving Curriculum for Pre-Training GNNs.
CoRR
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022 A* conf
Towards High-Order Complementary Recommendation via Logical Reasoning Network.
ICDM
Longfeng Wu, Yao Zhou, Dawei Zhou
2022 J jnl
Towards High-Order Complementary Recommendation via Logical Reasoning Network.
CoRR
Longfeng Wu, Yao Zhou, Dawei Zhou
2022 A conf
TrustLOG: The First Workshop on Trustworthy Learning on Graphs.
CIKM
Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
2022 J jnl
iNet: visual analysis of irregular transition in multivariate dynamic networks.
Frontiers Comput. Sci.
Dongming Han, Jiacheng Pan, Rusheng Pan, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen
2021 J jnl
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective.
ACM Trans. Knowl. Discov. Data
Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2020 A* conf
A Data-Driven Graph Generative Model for Temporal Interaction Networks.
KDD
Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He
2020 — conf
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities.
IEEE BigData
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
2020 A* conf
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.
WWW
Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
2020 A* conf
Local Motif Clustering on Time-Evolving Graphs.
KDD
Dongqi Fu, Dawei Zhou, Jingrui He
2020 J jnl
RCAnalyzer: visual analytics of rare categories in dynamic networks.
Frontiers Inf. Technol. Electron. Eng.
Jiacheng Pan, Dongming Han, Fangzhou Guo, Dawei Zhou, Nan Cao, Jingrui He, Mingliang Xu, Wei Chen
2020 A* conf
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.
AAAI
Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
2019 A* conf
Gold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.
KDD
Dawei Zhou, Jingrui He
2019 J jnl
Misc-GAN: A Multi-scale Generative Model for Graphs.
Frontiers Big Data
Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He
2019 A conf
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.
CIKM
Zhining Liu, Dawei Zhou, Jingrui He
2018 — conf
Motif-Preserving Dynamic Local Graph Cut.
IEEE BigData
Dawei Zhou, Jingrui He, Hasan Davulcu, Ross Maciejewski
2018 A* conf
SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.
KDD
Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan
2017 A* conf
A Local Algorithm for Structure-Preserving Graph Cut.
KDD
Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2017 J jnl
Discovering rare categories from graph streams.
Data Min. Knowl. Discov.
Dawei Zhou, Arun Karthikeyan, Kangyang Wang, Nan Cao, Jingrui He
2017 A conf
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection.
SDM
Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong
2016 A* conf
Bi-Level Rare Temporal Pattern Detection.
ICDM
Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo
2016 J jnl
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
ACM Trans. Knowl. Discov. Data
Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He
2015 A* conf
MUVIR: Multi-View Rare Category Detection.
IJCAI
Dawei Zhou, Jingrui He, K. Selçuk Candan, Hasan Davulcu
2015 J jnl
REACH
ACM Trans. Sens. Networks
Li Chen, Jeremy Warner, Pak Lam Yung, Dawei Zhou, Wendi B. Heinzelman, Ilker Demirkol, Ufuk Muncuk, Kaushik R. Chowdhury, Stefano Basagni
2015 A* conf
Rare Category Detection on Time-Evolving Graphs.
ICDM
Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He
2015 A* conf
Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing.
AAAI
Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry A. Kautz