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Sai Wu

25 papers · 2021–2026 · 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 (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8)
🐣 Hot Topic Early Bird πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (7) 🀝 Dynamic Duo (12) πŸ† Grand Slam πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (21) ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (127)

Conferences

AAAI (7) ACL (5) ICML (3) IJCAI (3) ICCV (2) ICLR (2) NIPS (2) COLING (1)

Papers

An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning ACL 2026 QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement ACL 2026 Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement AAAI 2026 Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation ICCV 2025 Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning AAAI 2025 Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities AAAI 2025 DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning ACL 2025 T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning ACL 2025 AIGT: AI Generative Table Based on Prompt COLING 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL ICLR 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025 CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq IJCAI 2025 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NIPS 2024 Sampling-Resilient Multi-Object Tracking AAAI 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NIPS 2024 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering ICLR 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Towards Controlled Data Augmentations for Active Learning ICML 2023 ModelGiF: Gradient Fields for Model Functional Distance ICCV 2023 Comparison Knowledge Translation for Generalizable Image Classification IJCAI 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022 Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis ACL 2022 Effective Slot Filling via Weakly-Supervised Dual-Model Learning AAAI 2021 Joining datasets via data augmentation in the label space for neural networks ICML 2021