conftrace_

Shu Wu

39 papers · 2017–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) πŸƒ Academic Marathon (8)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🀝 Dynamic Duo (29) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (34) πŸš€ Conference Pioneer ⚑ Prolific Year (11) πŸ—ƒοΈ Keyword Collector (177)

Conferences

ACL (13) AAAI (10) EMNLP (7) NIPS (5) ICLR (2) IJCAI (2)

Papers

TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction AAAI 2026 Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing ACL 2026 Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection ACL 2026 Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning AAAI 2026 Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator AAAI 2026 Personalized Text Generation with Contrastive Activation Steering ACL 2025 Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025 SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection ACL 2025 Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling ACL 2025 SHARP: Steering Hallucination in LVLMs via Representation Engineering EMNLP 2025 REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing EMNLP 2025 Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models EMNLP 2025 KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing EMNLP 2025 Uncovering Overfitting in Large Language Model Editing ICLR 2025 MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra ICLR 2025 Text-Guided Molecule Generation with Diffusion Language Model AAAI 2024 Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables AAAI 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024 Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization NIPS 2024 Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models ACL 2024 VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark NIPS 2024 EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification ACL 2024 Stealthy Attack on Large Language Model based Recommendation ACL 2024 Rethinking Graph Masked Autoencoders through Alignment and Uniformity AAAI 2024 Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting ACL 2024 Knowledge Graph Enhanced Large Language Model Editing EMNLP 2024 Learning Latent Relations for Temporal Knowledge Graph Reasoning ACL 2023 Uncovering Neural Scaling Laws in Molecular Representation Learning NIPS 2023 GSLB: The Graph Structure Learning Benchmark NIPS 2023 Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction EMNLP 2023 Counterfactual Debiasing for Fact Verification ACL 2023 MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning EMNLP 2022 GraphDIVE: Graph Classification by Mixture of Diverse Experts IJCAI 2022 A Graph-based Relevance Matching Model for Ad-hoc Retrieval AAAI 2021 Cold-start Sequential Recommendation via Meta Learner AAAI 2021 Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks ACL 2020 Independence Promoted Graph Disentangled Networks AAAI 2020 Session-Based Recommendation with Graph Neural Networks AAAI 2019 A Convolutional Approach for Misinformation Identification IJCAI 2017