Hui LIU

105 papers · 2006–2026 · 18 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (17) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🏃 Academic Marathon (19) 🏠 Conference Loyalist (20) 🏆 Grand Slam 🤝 Dynamic Duo (24) 🔬 Deep Specialist (11) 🧬 Topic Evolution ⚡ Prolific Year (14) 🗃️ Keyword Collector (466) ❓ The Questioner (4) 💎 Century Club (98) 🔥 Unstoppable (7)

Conferences

ACL (20) EMNLP (19) AAAI (16) ICLR (7) NAACL (6) CVPR (5) IJCAI (5) ICCV (4) ICML (4) IJCNLP (4) NIPS (4) AACL (2) INTERSPEECH (2) MICCAI (2) WACV (2) COLING (1) EACL (1) AISTATS (1)

Top co-authors

Jiliang Tang (25) Xianfeng Tang (14) Junhui Hou (13) Pengfei He (11) Yue Xing (11) Qi He (10) Jie Ren (9) Han Xu (8) Xiaodan Zhu (8) Shenglai Zeng (7)

Research topics

Privacy (2) Reinforcement Learning (1)

Keywords

large language model (20) representation learning (6) retrieval-augmented generation (5) diffusion model (5) neural machine translation (4) adversarial learning (4) natural language inference (4) knowledge distillation (4) graph neural network (4) contrastive learning (4) neural network (4) transfer learning (4) image captioning (3) text summarization (3) in-context learning (3) machine unlearning (3) video captioning (3) text classification (3) image generation (3) reinforcement learning (3)

Papers

PEAR: Planner-Executor Agent Robustness Benchmark EACL 2026

Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor AAAI 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

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

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association ACL 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

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

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

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

Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates ICCV 2025

Towards Calibrated Deep Clustering Network ICLR 2025

NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer ICLR 2025

Catastrophic Failure of LLM Unlearning via Quantization ICLR 2025

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025

Learning from Sample Stability for Deep Clustering ICML 2025

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025

Generalization Performance of Ensemble Clustering: From Theory to Algorithm ICML 2025

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders IJCAI 2025

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation IJCNLP 2025

Rethinking Large Language Model Architectures for Sequential Recommendations IJCNLP 2025

HARP: Harmonization and Adaptive Refinement of Pseudo-Labels for Cross-Domain Medical Image Segmentation MICCAI 2025

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction MICCAI 2025

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective NAACL 2025

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains NAACL 2025

Data Poisoning for In-context Learning NAACL 2025

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025

Sharpness-Aware Data Poisoning Attack ICLR 2024

Structural Fairness-aware Active Learning for Graph Neural Networks ICLR 2024

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering AAAI 2024

Mixture of Link Predictors on Graphs NIPS 2024

PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference NIPS 2024

Modeling Selective Feature Attention for Lightweight Text Matching IJCAI 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights NIPS 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

Reassess Summary Factual Inconsistency Detection with Large Language Model ACL 2024

Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024

TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024

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

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction ICCV 2023

Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models AAAI 2023

Interpretable Multimodal Misinformation Detection with Logic Reasoning ACL 2023

Global Structure-Aware Diffusion Process for Low-light Image Enhancement NIPS 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023

Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement EMNLP 2022

Contrastive Learning enhanced Author-Style Headline Generation EMNLP 2022

CTFALite: Lightweight Channel-specific Temporal and Frequency Attention Mechanism for Enhancing the Speaker Embedding Extractor INTERSPEECH 2022

Interpretable Low-Resource Legal Decision Making AAAI 2022

Toward Annotator Group Bias in Crowdsourcing ACL 2022

Multi-Type Urban Crime Prediction AAAI 2022

Syntax-Aware Network for Handwritten Mathematical Expression Recognition CVPR 2022

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning NAACL 2021

Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines ICCV 2021

Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild ICCV 2021

Video Paragraph Captioning as a Text Summarization Task ACL 2021

Enhancing Descriptive Image Captioning with Natural Language Inference ACL 2021

Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021

Enhancing Descriptive Image Captioning with Natural Language Inference IJCNLP 2021

Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning EMNLP 2021

Unsupervised Conversation Disentanglement through Co-Training EMNLP 2021

A Semantic Filter Based on Relations for Knowledge Graph Completion EMNLP 2021

RODNet: Radar Object Detection Using Cross-Modal Supervision WACV 2021

Video Paragraph Captioning as a Text Summarization Task IJCNLP 2021

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021

Learning Light-Weight Translation Models from Deep Transformer AAAI 2021

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

Angular Margin Centroid Loss for Text-Independent Speaker Recognition INTERSPEECH 2020

End-to-End Transition-Based Online Dialogue Disentanglement IJCAI 2020

Gated POS-Level Language Model for Authorship Verification IJCAI 2020

Does Gender Matter? Towards Fairness in Dialogue Systems COLING 2020

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020

Shallow-to-Deep Training for Neural Machine Translation EMNLP 2020

Learning Multi-Level Dependencies for Robust Word Recognition AAAI 2020

Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text AAAI 2020

The NiuTrans System for the WMT20 Quality Estimation Shared Task EMNLP 2020

The NiuTrans Machine Translation Systems for WMT19 ACL 2019

Towards Explainable NLP: A Generative Explanation Framework for Text Classification ACL 2019

INS: An Interactive Chinese News Synthesis System NAACL 2019

A Weakly Supervised Learning Approach for Spoken Language Understanding EMNLP 2006