Zhou, Dawei

25 publications

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

NeurIPS 2025 HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou

ICML 2025 LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou

AAAI 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao

AAAI 2025 Motion 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

ICML 2025 Phase and Amplitude-Aware Prompting for Enhancing Adversarial Robustness Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang

ICML 2025 UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou

IJCAI 2024 3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups Tingwei Chen, Jianpeng Chen, Dawei Zhou

AAAI 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation Dawei Zhou

ICML 2024 Enhancing Size Generalization in Graph Neural Networks Through Disentangled Representation Learning Zheng Huang, Qihui Yang, Dawei Zhou, 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

ICML 2024 Improving Accuracy-Robustness Trade-Off via Pixel Reweighted Adversarial Training Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu

NeurIPS 2024 Towards Heterogeneous Long-Tailed Learning: Benchmarking, Metrics, and Toolbox Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

ICML 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu

ICCV 2023 Hiding Visual Information via Obfuscating Adversarial Perturbations Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao

ICML 2023 Personalized Federated Learning Under Mixture of Distributions Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng

ICML 2023 Phase-Aware Adversarial Defense for Improving Adversarial Robustness Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu

ICML 2022 Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu

ICML 2022 Modeling Adversarial Noise for Adversarial Training Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu

TMLR 2022 Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning Linfeng Liu, Xu Han, Dawei Zhou, Liping Liu

ICCV 2021 Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu

ICML 2021 Towards Defending Against Adversarial Examples via Attack-Invariant Features Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao

AAAI 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He

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

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