Yanchi Liu

Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation EACL 2026 DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router EACL 2026 Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement EACL 2026 Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs ACL 2026 Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model AAAI 2025 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025 SFS: Smarter Code Space Search improves LLM Inference Scaling ICLR 2025 Uncertainty Propagation on LLM Agent ACL 2025 Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024 InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration EMNLP 2024 Large Language Models Can Be Contextual Privacy Protection Learners EMNLP 2024 Pruning as a Domain-specific LLM Extractor NAACL 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023 Personalized Federated Learning under Mixture of Distributions ICML 2023 Sequential Recommendation with Probabilistic Logical Reasoning IJCAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Unsupervised Concept Representation Learning for Length-Varying Text Similarity NAACL 2021 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation AAAI 2020 Collaborative Self-Attention Network for Session-based Recommendation IJCAI 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects ICLR 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 Feature-level Deeper Self-Attention Network for Sequential Recommendation IJCAI 2019 Graph Contextualized Self-Attention Network for Session-based Recommendation IJCAI 2019 Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification AAAI 2019 Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation AAAI 2019 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 Sequential Recommender System based on Hierarchical Attention Networks IJCAI 2018