conftrace_

Junyu Luo

30 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12)
πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (13) πŸ‘₯ Mega-Team (20) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (148) πŸ’Ž Century Club (26)

Conferences

ACL (7) AAAI (5) EMNLP (5) IJCAI (3) COLING (2) ICML (2) CVPR (1) ECCV (1) IJCNLP (1) NAACL (1) NIPS (1) WACV (1)

Research topics

Papers

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models ACL 2026 A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions ACL 2026 BAMAS: Structuring Budget-Aware Multi-Agent Systems AAAI 2026 CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026 FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation ACL 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Attention Bootstrapping for Multi-Modal Test-Time Adaptation AAAI 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025 Automate Strategy Finding with LLM in Quant Investment EMNLP 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation ICML 2025 Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes ICML 2025 Semi-supervised Fine-tuning for Large Language Models NAACL 2025 Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 Rank and Align: Towards Effective Source-free Graph Domain Adaptation IJCAI 2024 A Survey of Data-Efficient Graph Learning IJCAI 2024 Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024 CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning COLING 2024 EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics NIPS 2024 Hierarchical Pretraining on Multimodal Electronic Health Records EMNLP 2023 Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation COLING 2022 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection CVPR 2022 Fusion: Towards Automated ICD Coding via Feature Compression IJCNLP 2021 ChartOCR: Data Extraction From Charts Images via a Deep Hybrid Framework WACV 2021 Fusion: Towards Automated ICD Coding via Feature Compression ACL 2021 Accelerating CNN Training by Pruning Activation Gradients ECCV 2020 Learning Document Embeddings with Crossword Prediction AAAI 2019