conftrace_

Dawei Zhou

25 papers · 2015–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (10) πŸ† Keyword Champion (2) πŸ’Ž Century Club (24) ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (92) πŸ”₯ Unstoppable (6)

Conferences

ICML (12) AAAI (4) EMNLP (2) ICCV (2) IJCAI (2) ACL (1) NAACL (1) NIPS (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