Xiang Wei
10 papers · 2018–2026 · 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
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Century Club Β· Bronze
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Keyword Collector
(61)
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Conference Pioneer
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Renaissance Researcher
(5)
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Trend Setter
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Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(5)
Natural Language Processing
(4)
Applications
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
large language model
(4)
semi-supervised learning
(3)
class imbalance
(2)
knowledge graph
(2)
embedding learning
(1)
sequence encoding
(1)
model security
(1)
relation extraction
(1)
dna storage
(1)
information extraction
(1)
question answering
(1)
named entity recognition
(1)
information retrieval
(1)
code generation
(1)
lipschitz continuity
(1)
machine translation
(1)
constraint satisfaction
(1)
low-resource language
(1)
code completion
(1)
domain adaptation
(1)
Papers
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
AAAI 2026
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph
IJCAI 2025
CSTree-SRI: Introspection-Driven Cognitive Semantic Tree for Multi-Turn Question Answering over Extra-Long Contexts
ACL 2025
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
AAAI 2025
MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics
NAACL 2025
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints
ACL 2024
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction
COLING 2024
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
AAAI 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
CVPR 2024
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
ICLR 2018