Sai Wu
25 papers · 2021–2026 · 8 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.
Achievements
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πΊοΈ Taxonomy Completionist (63) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π€
Dynamic Duo
(13)
ποΈ
Keyword Collector
(143)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(20)
Artificial Intelligence
(15)
Core AI
(13)
Learning Types
(11)
Natural Language Processing
(8)
Application Areas
(8)
Deep Learning
(6)
Applications
(5)
Core Methods
(5)
Computer Vision
(4)
Healthcare & Medicine
(4)
Learning Paradigms
(4)
Optimization & Theory
(4)
Analysis
(3)
Clinical
(3)
Keywords
large language model
(5)
multimodal learning
(4)
transfer learning
(2)
radiology report generation
(2)
active learning
(2)
multi-task learning
(2)
program repair
(2)
natural language to sql
(2)
zero-shot learning
(1)
iterative optimization
(1)
reinforcement learning
(1)
domain generalization
(1)
performance optimization
(1)
representation learning
(1)
semi-supervised learning
(1)
contrastive learning
(1)
policy gradient
(1)
text classification
(1)
optimal transport
(1)
adversarial learning
(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
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
AAAI 2026
QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement
ACL 2026
AIGT: AI Generative Table Based on Prompt
COLING 2025
Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL
ICLR 2025
CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq
IJCAI 2025
DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning
ACL 2025
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
POLO: An LLM-Powered Project-Level Code Performance Optimization Framework
IJCAI 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
AAAI 2025
T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning
ACL 2025
Enhancing LLM Reasoning via Vision-Augmented Prompting
NeurIPS 2024
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
NeurIPS 2024
Sampling-Resilient Multi-Object Tracking
AAAI 2024
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
ICLR 2023
ModelGiF: Gradient Fields for Model Functional Distance
ICCV 2023
Towards Controlled Data Augmentations for Active Learning
ICML 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