Shuai Lu
32 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (10) π£ Hot Topic Early Bird
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(13)
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Interdisciplinary Bridge
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Conference Polyglot
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Keyword Champion
(2)
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Dynamic Duo
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Topic Evolution
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Grand Slam
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Conferences
ACL (9)
AAAI (6)
EMNLP (5)
IJCAI (4)
ICLR (3)
CVPR (1)
ICCV (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
code generation
(4)
source code
(3)
code representation
(3)
contrastive learning
(3)
code search
(3)
language model
(3)
reinforcement learning
(2)
transformer architecture
(2)
abstract syntax tree
(2)
unsupervised anomaly detection
(2)
retrieval-augmented generation
(2)
domain shift
(2)
domain adaptation
(2)
anomaly detection
(2)
unsupervised learning
(2)
zero-shot learning
(2)
automated theorem proving
(2)
code completion
(2)
code summarization
(2)
active domain adaptation
(2)
Papers
Prototype-Driven Active Domain Adaptation with Density Consideration
AAAI 2026
Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions
ACL 2026
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning
AAAI 2026
State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning
AAAI 2026
ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios
ICCV 2025
Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
ICLR 2025
FloorPlan-LLaMa: Aligning Architectsβ Feedback and Domain Knowledge in Architectural Floor Plan Generation
ACL 2025
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
ICML 2025
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
CVPR 2025
Automated Proof Generation for Rust Code via Self-Evolution
ICLR 2025
CARD: Cross-modal Agent Framework for Generative and Editable Residential Design
EMNLP 2025
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation
IJCAI 2024
Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence
IJCAI 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
AAAI 2024
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation
AAAI 2024
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
ACL 2024
Selene: Pioneering Automated Proof in Software Verification
ACL 2024
Competition-Level Problems are Effective LLM Evaluators
ACL 2024
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
NAACL 2024
Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration
AAAI 2024
Intervention-Based Alignment of Code Search with Execution Feedback
EMNLP 2023
Constructing Multilingual Code Search Dataset Using Neural Machine Translation
ACL 2023
Code Execution with Pre-trained Language Models
ACL 2023
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
NIPS 2023
Adaptive Estimation Q-learning with Uncertainty and Familiarity
IJCAI 2023
ReACC: A Retrieval-Augmented Code Completion Framework
ACL 2022
Towards Compositional Generalization in Code Search
EMNLP 2022
UniXcoder: Unified Cross-Modal Pre-training for Code Representation
ACL 2022
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
EMNLP 2021
GraphCodeBERT: Pre-training Code Representations with Data Flow
ICLR 2021
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
EMNLP 2021
Summarizing Source Code with Transferred API Knowledge
IJCAI 2018