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Yanan Wu

32 papers · 2021–2026 · 12 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+8 more ↓ 🗺️ Taxonomy Completionist (64) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🤝 Dynamic Duo (12) 🧬 Topic Evolution 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (134)

Papers

ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants ACL 2026 TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery CVPR 2026 Alzheimer’s Disease Recognition Based on Adaptive Graph Normalization Flow for Incomplete Multimodal Data Fusion MICCAI 2025 DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models NAACL 2025 Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation ICLR 2025 M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation ACL 2025 MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models ICLR 2025 Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation ICCV 2025 ProgCo: Program Helps Self-Correction of Large Language Models ACL 2025 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models NeurIPS 2024 Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams ECCV 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023 MetaGCD: Learning to Continually Learn in Generalized Category Discovery ICCV 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning AAAI 2022 Deep Graph Matching for Partial Label Learning IJCAI 2022 Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning ACL 2022 Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022 Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization NAACL 2022 Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022 Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration NAACL 2022 RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction NAACL 2022 Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021 GM-MLIC: Graph Matching based Multi-Label Image Classification IJCAI 2021 Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ACL 2021 Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System ACL 2021