Jianyong Wang
21 papers · 2013–2025 · 6 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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🗺️ Taxonomy Completionist (54) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🗃️
Keyword Collector
(115)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Deep Learning
(11)
Natural Language Processing
(10)
Core AI
(10)
Applications
(7)
Core Methods
(7)
Architectures
(6)
Application Areas
(5)
Optimization & Theory · Deep Learning
(5)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(4)
Resources & Methods
(4)
Optimization & Theory · Machine Learning
(3)
Computer Science
(1)
Keywords
large language model
(5)
decision tree
(2)
named entity recognition
(2)
document-level relation extraction
(2)
graph neural network
(2)
information retrieval
(2)
representation learning
(2)
context length
(2)
rule-based model
(2)
relation classification
(2)
inference acceleration
(2)
entity extraction
(2)
relation extraction
(2)
language model
(2)
question answering
(1)
few-shot learning
(1)
attention mechanism
(1)
embedding learning
(1)
zero-shot learning
(1)
transformer architecture
(1)
Papers
COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction
AAAI 2025
Coronary Artery Calcification segmentation by using cross-frequency conditioner and geometric priors Learning
MICCAI 2025
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
ACL 2025
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
ACL 2025
LeanK: Learnable K Cache Channel Pruning for Efficient Decoding
EMNLP 2025
Maximum Score Routing For Mixture-of-Experts
ACL 2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
ACL 2025
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints
EMNLP 2024
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
AAAI 2024
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
NeurIPS 2024
IarCAC: Instance-aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT angiography
MICCAI 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
NeurIPS 2024
Learning to Binarize Continuous Features for Neuro-Rule Networks
IJCAI 2023
Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling
EMNLP 2022
Prompt Tuning for Discriminative Pre-trained Language Models
ACL 2022
Graph-Based Tri-Attention Network for Answer Ranking in CQA
AAAI 2021
Scalable Rule-Based Representation Learning for Interpretable Classification
NeurIPS 2021
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
AAAI 2020
Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction
IJCAI 2016
Prior-Based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents
IJCAI 2015
Integrating Semantic Relatedness and Words’ Intrinsic Features for Keyword Extraction
IJCAI 2013