Hui LIU

Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation AAAI 2026 Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance AAAI 2026 DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning AAAI 2026 PEAR: Planner-Executor Agent Robustness Benchmark EACL 2026 Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models AAAI 2026 ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering AAAI 2026 Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs ACL 2026 Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor AAAI 2026 Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization ACL 2026 Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents ACL 2026 Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios ACL 2026 RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models ACL 2026 SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains NAACL 2025 Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective NAACL 2025 EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association ACL 2025 Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions ACL 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025 GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025 Red-Teaming LLM Multi-Agent Systems via Communication Attacks ACL 2025 Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL 2025 A General Framework to Enhance Fine-tuning-based LLM Unlearning ACL 2025 Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models ACL 2025 Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning ACL 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression AISTATS 2025 MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction MICCAI 2025 HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation MICCAI 2025 Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression CVPR 2025 SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures CVPR 2025 Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025 Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation CVPR 2025 Rethinking Large Language Model Architectures for Sequential Recommendations IJCNLP 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation IJCNLP 2025 Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders IJCAI 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm ICML 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025 Learning from Sample Stability for Deep Clustering ICML 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 Catastrophic Failure of LLM Unlearning via Quantization ICLR 2025 Towards Calibrated Deep Clustering Network ICLR 2025 NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer ICLR 2025 Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates ICCV 2025 ViLBench: A Suite for Vision-Language Process Reward Modeling EMNLP 2025 SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs EMNLP 2025 Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses AAAI 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation AACL 2025 Rethinking Large Language Model Architectures for Sequential Recommendations AACL 2025 Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025 Data Poisoning for In-context Learning NAACL 2025 Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024 Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights NIPS 2024 Mixture of Link Predictors on Graphs NIPS 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference NIPS 2024 T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering AAAI 2024 TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024 Reassess Summary Factual Inconsistency Detection with Large Language Model ACL 2024 Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis EMNLP 2024 Are Large Language Models (LLMs) Good Social Predictors? EMNLP 2024 On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024 Structural Fairness-aware Active Learning for Graph Neural Networks ICLR 2024 Sharpness-Aware Data Poisoning Attack ICLR 2024 Modeling Selective Feature Attention for Lightweight Text Matching IJCAI 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024 Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models AAAI 2023 Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023 Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023 Models See Hallucinations: Evaluating the Factuality in Video Captioning EMNLP 2023 Knowledge-Selective Pretraining for Attribute Value Extraction EMNLP 2023 Global Structure-Aware Diffusion Process for Low-light Image Enhancement NIPS 2023 ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction ICCV 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Multi-Type Urban Crime Prediction AAAI 2022 Contrastive Learning enhanced Author-Style Headline Generation EMNLP 2022 Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement EMNLP 2022 CTFALite: Lightweight Channel-specific Temporal and Frequency Attention Mechanism for Enhancing the Speaker Embedding Extractor INTERSPEECH 2022 Syntax-Aware Network for Handwritten Mathematical Expression Recognition CVPR 2022 Toward Annotator Group Bias in Crowdsourcing ACL 2022 Interpretable Low-Resource Legal Decision Making AAAI 2022 Video Paragraph Captioning as a Text Summarization Task ACL 2021 RODNet: Radar Object Detection Using Cross-Modal Supervision WACV 2021 Learning Light-Weight Translation Models from Deep Transformer AAAI 2021 Enhancing Descriptive Image Captioning with Natural Language Inference IJCNLP 2021 Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild ICCV 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 A Semantic Filter Based on Relations for Knowledge Graph Completion EMNLP 2021 Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines ICCV 2021 Video Paragraph Captioning as a Text Summarization Task IJCNLP 2021 Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021 Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning NAACL 2021 Unsupervised Conversation Disentanglement through Co-Training EMNLP 2021 Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning EMNLP 2021 Enhancing Descriptive Image Captioning with Natural Language Inference ACL 2021 Learning Multi-Level Dependencies for Robust Word Recognition AAAI 2020 Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020 Angular Margin Centroid Loss for Text-Independent Speaker Recognition INTERSPEECH 2020 Does Gender Matter? Towards Fairness in Dialogue Systems COLING 2020 Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text AAAI 2020 Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization ACL 2020 Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation ACL 2020 End-to-End Transition-Based Online Dialogue Disentanglement IJCAI 2020 Gated POS-Level Language Model for Authorship Verification IJCAI 2020 The NiuTrans System for the WMT20 Quality Estimation Shared Task EMNLP 2020 Shallow-to-Deep Training for Neural Machine Translation EMNLP 2020 Towards Explainable NLP: A Generative Explanation Framework for Text Classification ACL 2019 The NiuTrans Machine Translation Systems for WMT19 ACL 2019 INS: An Interactive Chinese News Synthesis System NAACL 2019 A Weakly Supervised Learning Approach for Spoken Language Understanding EMNLP 2006