Xuanhua Shi
13 papers · 2021–2026 · 7 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
Jump to papers ↓+3 more ↓ Show less ↑
π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (33) π Conference Polyglot Β· Silver ποΈ Keyword Collector (63)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(8)
Machine Learning
(7)
Natural Language Processing
(5)
Deep Learning
(4)
Core Methods
(4)
Computer Science
(2)
Application Areas
(2)
Applications Β· Natural Language Processing
(2)
Learning Types
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Applications Β· Computer Science
(1)
Keywords
large language model
(5)
theory of mind
(2)
code generation
(2)
domain generalization
(1)
behavioral prediction
(1)
incremental learning
(1)
optimal transport
(1)
instruction tuning
(1)
iterative refinement
(1)
label noise
(1)
class prior estimation
(1)
distributed training
(1)
decremental learning
(1)
static analysis
(1)
margin theory
(1)
knowledge graph reasoning
(1)
support vector machine
(1)
pipeline parallelism
(1)
throughput optimization
(1)
transfer learning
(1)
Papers
code-transformed: The Influence of Large Language Models on Code
EACL 2026
CoSToM: Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models
ACL 2026
RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems
AAAI 2026
Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous MoE Training (Operational Systems)
OSDI 2026
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale
ICML 2025
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
ICML 2025
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
ACL 2024
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
ACL 2024
Incremental and Decremental Optimal Margin Distribution Learning
IJCAI 2023
Scalable Optimal Margin Distribution Machine
IJCAI 2023
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning
EMNLP 2023
Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution
IJCAI 2022
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
ACL 2021