Yanjie Fu
31 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13)
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Hot Topic Early Bird
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(7)
🏆
Keyword Champion
(3)
🧬
Topic Evolution
🔥
Unstoppable
(8)
🚀
Conference Pioneer
💎
Century Club
(26)
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(169)
Conferences
AAAI (11)
IJCAI (9)
INTERSPEECH (4)
EACL (2)
EMNLP (2)
ICLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(6)
reinforcement learning
(5)
graph representation learning
(3)
feature transformation
(3)
contrastive learning
(3)
graph neural network
(3)
neural network
(3)
sound source localization
(2)
representation learning
(2)
direction of arrival
(2)
time series forecasting
(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
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
AAAI 2026
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
AAAI 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
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
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
ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
EMNLP 2025
LEKA: LLM-Enhanced Knowledge Augmentation
IJCAI 2025
Evolutionary Large Language Model for Automated Feature Transformation
AAAI 2025
Weaver: Interweaving SQL and LLM for Table Reasoning
EMNLP 2025
Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows
IJCAI 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
IJCAI 2024
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NIPS 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
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
AAAI 2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
IJCAI 2023
SDNet: Stream-attention and Dual-feature Learning Network for Ad-hoc Array Speech Separation
INTERSPEECH 2023
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation
INTERSPEECH 2023
MIMO-DoAnet: Multi-channel Input and Multiple Outputs DoA Network with Unknown Number of Sound Sources
INTERSPEECH 2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
IJCAI 2022
Iterative Sound Source Localization for Unknown Number of Sources
INTERSPEECH 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
ICLR 2022
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
AAAI 2021
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
AAAI 2021
Exploiting Mutual Information for Substructure-aware Graph Representation Learning
IJCAI 2020
Joint Representation Learning for Multi-Modal Transportation Recommendation
AAAI 2019
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
AAAI 2019
De-biasing Covariance-Regularized Discriminant Analysis
IJCAI 2018
Representing Urban Functions through Zone Embedding with Human Mobility Patterns
IJCAI 2018