Yanjie Fu
31 papers · 2018–2026 · 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
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (63) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(172)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(8)
Top co-authors
Research topics
Machine Learning
(22)
Artificial Intelligence
(14)
Core Methods
(14)
Deep Learning
(13)
Core AI
(12)
Learning Types Β· Machine Learning
(8)
Learning Types Β· Deep Learning
(8)
Data Science & Analytics
(7)
Architectures
(7)
Optimization & Theory
(7)
Application Areas
(5)
Speech & Audio
(4)
Applications
(4)
Learning Paradigms
(4)
Methods
(4)
Keywords
large language model
(6)
reinforcement learning
(5)
graph neural network
(3)
feature transformation
(3)
graph representation learning
(3)
contrastive learning
(3)
time series forecasting
(3)
neural network
(3)
representation learning
(2)
direction of arrival
(2)
sound source localization
(2)
knowledge transfer
(2)
node representation
(2)
density estimation
(1)
embedding space
(1)
link prediction
(1)
feature extraction
(1)
domain adaptation
(1)
continual learning
(1)
transfer learning
(1)
Papers
Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer
EACL 2026
Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage
AAAI 2026
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
AAAI 2026
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
AAAI 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
Evolutionary Large Language Model for Automated Feature Transformation
AAAI 2025
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
EMNLP 2025
LEKA: LLM-Enhanced Knowledge Augmentation
IJCAI 2025
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
IJCAI 2025
Weaver: Interweaving SQL and LLM for Table Reasoning
EMNLP 2025
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
IJCAI 2024
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
IJCAI 2024
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
IJCAI 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
AAAI 2023
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning
AAAI 2023
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation
Interspeech 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NeurIPS 2023
SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation
Interspeech 2023
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
ICLR 2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
IJCAI 2022
Iterative Sound Source Localization for Unknown Number of Sources
Interspeech 2022
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
Interspeech 2022
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
AAAI 2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
IJCAI 2020
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
AAAI 2019
Joint Representation Learning for Multi-Modal Transportation Recommendation
AAAI 2019
De-biasing Covariance-Regularized Discriminant Analysis
IJCAI 2018
Representing Urban Functions through Zone Embedding with Human Mobility Patterns
IJCAI 2018