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Yue Liu

67 papers · 2013–2026 · 19 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (18) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (7) πŸ‘₯ Mega-Team (27) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (304) ❓ The Questioner (3) ⚑ Prolific Year (18) πŸš€ Conference Pioneer πŸ’Ž Century Club (62) πŸ”₯ Unstoppable (8)

Conferences

AAAI (11) NIPS (11) ICML (10) EMNLP (5) ICLR (4) CVPR (3) ICCV (3) NAACL (3) EACL (2) IJCAI (2) IJCNLP (2) INTERSPEECH (2) JMLR (2) ACL (2) COLING (1) AISTATS (1) PGM (1) UAI (1) WACV (1)

Top co-authors

Xinwang Liu (15) Jun Xia (9) Wenxuan Tu (9) sihang zhou (9) Stan Z. Li (8) Siwei Wang (8) Ke Liang (7) Yang Liu (6) Xihong Yang (6) En Zhu (5)

Research topics

Analysis (1) Reasoning (1) Core AI (1)

Keywords

contrastive learning (7) graph neural network (7) large language model (7) knowledge graph (6) entity resolution (4) representation learning (4) self-supervised learning (3) causal inference (3) retrieval-augmented generation (3) vision-language model (2) generative model (2) adversarial attack (2) semi-supervised learning (2) causal effect (2) knowledge graph embedding (2) bi-level optimization (2) benchmark evaluation (2) multimodal learning (2) graph embedding (2) causal discovery (2)

Papers

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