Yue Liu

Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning EACL 2026 ExtendAttack: Attacking Servers of LRMs via Extending Reasoning AAAI 2026 Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition AAAI 2026 Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? EACL 2026 RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise AAAI 2026 SMAP: Semantic Route Planning with Map-Grounded Multimodal Alignment CVPR 2026 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025 Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios ICML 2025 Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo ICLR 2025 Building Vision Models upon Heat Conduction CVPR 2025 Can Indirect Prompt Injection Attacks Be Detected and Removed? ACL 2025 Detecting Conversational Mental Manipulation with Intent-Aware Prompting COLING 2025 DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution CVPR 2025 Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation ICCV 2025 Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance EMNLP 2025 Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness ICML 2025 FlipAttack: Jailbreak LLMs via Flipping ICML 2025 From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering ICML 2025 Gaze-Language Alignment for Zero-Shot Prediction of Visual Search Targets from Human Gaze Scanpaths ICCV 2025 On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025 PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning EMNLP 2025 Safety in Large Reasoning Models: A Survey EMNLP 2025 Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation ICML 2025 TopicAttack: An Indirect Prompt Injection Attack via Topic Transition EMNLP 2025 A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NeurIPS 2024 AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model EMNLP 2024 At Which Training Stage Does Code Data Help LLMs Reasoning? ICLR 2024 Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding NeurIPS 2024 CRAG - Comprehensive RAG Benchmark NeurIPS 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Deep Temporal Graph Clustering ICLR 2024 Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024 End-to-end Learnable Clustering for Intent Learning in Recommendation NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL 2024 Identify Then Recommend: Towards Unsupervised Group Recommendation NeurIPS 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NeurIPS 2024 MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs AAAI 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024 Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering ICML 2024 VMamba: Visual State Space Model NeurIPS 2024 Cluster-Guided Contrastive Graph Clustering Network AAAI 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023 Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023 Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules ICLR 2023 PatchDropout: Economizing Vision Transformers Using Patch Dropout WACV 2023 Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023 Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NeurIPS 2023 Auxiliary Learning with Joint Task and Data Scheduling ICML 2022 Deep Graph Clustering via Dual Correlation Reduction AAAI 2022 Initializing Then Refining: A Simple Graph Attribute Imputation Network IJCAI 2022 Module-Aware Optimization for Auxiliary Learning NeurIPS 2022 Entity Resolution in Open-domain Conversations NAACL 2021 Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems NAACL 2021 Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations ACL 2021 Adding seemingly uninformative labels helps in low data regimes ICML 2020 ASR Error Correction with Augmented Transformer for Entity Retrieval Interspeech 2020 Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020 Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching Interspeech 2020 Local Causal Network Learning for Finding Pairs of Total and Direct Effects JMLR 2020 Multi-Level Context Ultra-Aggregation for Stereo Matching CVPR 2019 FISH-MML: Fisher-HSIC Multi-View Metric Learning IJCAI 2018 Online Algorithms for Sum-Product Networks with Continuous Variables PGM 2016 Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models ICCV 2015 A Self-learning Template Approach for Recognizing Named Entities from Web Text IJCNLP 2013