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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.

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (63) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (172) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (8)

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