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Dawei Zhou

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

61

Venues

17

Active years

2007–2026

Best venue rank

A*

Where they publish

Papers

61 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLPhyVer: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence.Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Brian Mayer, Dongqi Fu, Dawei Zhou
2025AAAIMotion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model.Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao
2025AAAIMitigating Feature Gap for Adversarial Robustness by Feature Disentanglement.Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao
2025CIKMFew-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks.Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong
2025EMNLPSciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments.Joshua Alan Flashner, Adithya Kulkarni, Dawei Zhou
2025EMNLPGENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models.Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025ICDMThe End of Trial-and-Error: A Vision for Generative Intelligence in Metamaterial Design.Adithya Kulkarni, Haohui Wang, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou
2025ICDMMetaRef: A Generalizable Physics-Aware Refinement Framework for Metamaterial Design.Alexander Lu, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou
2025ICDMBi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search.Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng, Bhanu Pratap Singh Rawat, Lecheng Zheng, Giovanni Seni, Dawei Zhou
2025ICMLPhase and Amplitude-aware Prompting for Enhancing Adversarial Robustness.Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang
2025ICMLLensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection.Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou
2025ICMLUniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation.Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou
2025KDDMetamatBench: 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, Ling Li, Wei Wang, Dawei Zhou
2025KDDEVIWeijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou
2025KDDNon-exchangeable Conformal Prediction for Temporal Graph Neural Networks.Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025KDDAre Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video Understanding.Tong Zeng, Longfeng Wu, Liang Shi, Dawei Zhou, Feng Guo
2025KDDMentorPDM: 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
2025NAACLMetaScientist: 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, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang
2025WWWTowards 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, Dawei Zhou
2025WWWBridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs.Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou
2025SDMHeterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery.Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou
2024AAAICombating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation.Dawei Zhou
2024CIKMCausality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024CSCWDA Traceable and Anonymous Authentication Ring Signature Scheme with Privacy Protection.Xiao Zhao, Suzhen Cao, Zheng Wang, Dandan Xing, Dawei Zhou
2024ICDEFairgen: Towards Fair Graph Generation.Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024ICMLEnhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning.Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan
2024ICMLEvoluNet: 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
2024ICMLImproving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training.Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
2024IJCAI3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups.Tingwei Chen, Jianpeng Chen, Dawei Zhou
2024KDDMastering 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
2024WWWTrustLOG: The Second Workshop on Trustworthy Learning on Graphs.Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou
2023ICCVHiding Visual Information via Obfuscating Adversarial Perturbations.Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao
2023ICMLPersonalized Federated Learning under Mixture of Distributions.Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023ICMLPhase-aware Adversarial Defense for Improving Adversarial Robustness.Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu
2023ICMLEliminating Adversarial Noise via Information Discard and Robust Representation Restoration.Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu
2023IGARSSDetection and Digital Representation of Ancient Architecture Damage Based on Laser Point Cloud: Case Study of the Zhengding Ancient City Wall.Jinyun Wang, Kan Wu, Yibo He, Dawei Zhou, Liang Li, Xinpeng Diao, Jianwen Cai
2023KDDTowards Reliable Rare Category Analysis on Graphs via Individual Calibration.Longfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou
2023WWWFairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
2022CIKMTrustLOG: The First Workshop on Trustworthy Learning on Graphs.Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
2022CIKMMentorGNN: Deriving Curriculum for Pre-Training GNNs.Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022ICDMAugmenting Knowledge Transfer across Graphs.Yuzhen Mao, Jianhui Sun, Dawei Zhou
2022ICDMTowards High-Order Complementary Recommendation via Logical Reasoning Network.Longfeng Wu, Yao Zhou, Dawei Zhou
2022ICMLImproving Adversarial Robustness via Mutual Information Estimation.Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
2022ICMLModeling Adversarial Noise for Adversarial Training.Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu
2021ICCVRemoving Adversarial Noise in Class Activation Feature Space.Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu
2021ICMLTowards Defending against Adversarial Examples via Attack-Invariant Features.Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao
2020AAAITowards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk.Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
2020KDDLocal Motif Clustering on Time-Evolving Graphs.Dongqi Fu, Dawei Zhou, Jingrui He
2020KDDA Data-Driven Graph Generative Model for Temporal Interaction Networks.Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He
2020OZCHIA Tangible Multi-Display Toolkit to Support the Collaborative Design Exploration of AV-Pedestrian Interfaces.Marius Hoggenmller, Martin Tomitsch, Callum Parker, Trung Thanh Nguyen, Dawei Zhou, Stewart Worrall, Eduardo M. Nebot
2020WWWDomain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
2019CIKMTowards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks.Zhining Liu, Dawei Zhou, Jingrui He
2019KDDGold Panning from the Mess: Rare Category Exploration, Exposition, Representation, and Interpretation.Dawei Zhou, Jingrui He
2018KDDSPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization.Dawei Zhou, Jingrui He, Hongxia Yang, Wei Fan
2017KDDA Local Algorithm for Structure-Preserving Graph Cut.Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2017SDMHiDDen: 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
2016ICDMBi-Level Rare Temporal Pattern Detection.Dawei Zhou, Jingrui He, Yu Cao, Jae-sun Seo
2015AAAITackling Mental Health by Integrating Unobtrusive Multimodal Sensing.Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun Zhou, Jile Hu, Glenn Currier, Henry A. Kautz
2015ICDMRare Category Detection on Time-Evolving Graphs.Dawei Zhou, Kangyang Wang, Nan Cao, Jingrui He
2015IJCAIMUVIR: Multi-View Rare Category Detection.Dawei Zhou, Jingrui He, K. Seluk Candan, Hasan Davulcu
2007HCIAn Inverse Dynamical Model for Slip Gait.Jiankun Yang, Dewen Jin, Linhong Ji, Jichuan Zhang, Rencheng Wang, Xin Fang, Dawei Zhou