Dawei Zhou
25 papers · 2015–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (7)
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Hot Topic Early Bird
π
Cross-Pollinator
(14)
π
Conference Polyglot
(7)
π€
Dynamic Duo
(10)
π
Keyword Champion
(2)
π
Century Club
(24)
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(92)
π₯
Unstoppable
(6)
Conferences
ICML (12)
AAAI (4)
EMNLP (2)
ICCV (2)
IJCAI (2)
ACL (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
adversarial robustness
(7)
adversarial defense
(4)
adversarial training
(4)
adversarial noise
(4)
adversarial perturbation
(2)
graph neural network
(2)
denoising model
(2)
diffusion model
(2)
multi-task learning
(1)
image restoration
(1)
benchmark evaluation
(1)
medical imaging
(1)
data augmentation
(1)
claim verification
(1)
feature alignment
(1)
transfer learning
(1)
feature disentanglement
(1)
interactive learning
(1)
link prediction
(1)
community detection
(1)
Papers
PhyVer: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence
ACL 2026
Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness
ICML 2025
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
AAAI 2025
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
AAAI 2025
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
EMNLP 2025
SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments
EMNLP 2025
MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design
NAACL 2025
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
ICML 2025
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
ICML 2025
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
NIPS 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation
AAAI 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
ICML 2024
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
ICML 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
ICML 2024
3D-FuM: Benchmarking 3D Molecule Learning with Functional Groups
IJCAI 2024
Phase-aware Adversarial Defense for Improving Adversarial Robustness
ICML 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations
ICCV 2023
Personalized Federated Learning under Mixture of Distributions
ICML 2023
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
ICML 2023
Modeling Adversarial Noise for Adversarial Training
ICML 2022
Improving Adversarial Robustness via Mutual Information Estimation
ICML 2022
Towards Defending against Adversarial Examples via Attack-Invariant Features
ICML 2021
Removing Adversarial Noise in Class Activation Feature Space
ICCV 2021
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
AAAI 2020
MUVIR: Multi-View Rare Category Detection
IJCAI 2015