Yue Yu

88 papers · 2016–2026 · 17 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (9) 🌈 Renaissance Researcher (12) 🌍 Conference Polyglot (17) 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🤝 Dynamic Duo (22) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (20) 🔬 Deep Specialist (11) 🏆 Keyword Champion 🚀 Conference Pioneer ⚡ Prolific Year (14) ❓ The Questioner 🗃️ Keyword Collector (342) 💎 Century Club (86) 🔥 Unstoppable (10) 📈 Trend Setter

Conferences

ACL (19) NIPS (12) EMNLP (10) AAAI (9) ICML (8) NAACL (5) ICLR (5) COLING (4) AISTATS (3) ECCV (3) UAI (2) IJCAI (2) ICCV (2) MICCAI (1) EACL (1) SEMEVAL (1) CVPR (1)

Top co-authors

Chao Zhang (22) Yuchen Zhuang (12) Hui Wang (11) Ran Xu (9) Tian Gao (8) Carl Yang (7) Rongzhi Zhang (6) Xin Liu (6) Yehong Zhang (5) May Dongmei Wang (5)

Research topics

Keywords

large language model (17) prompt engineering (6) continuous optimization (5) diffusion model (4) question answering (4) in-context learning (4) text classification (4) retrieval-augmented generation (4) knowledge distillation (4) dense retrieval (4) few-shot learning (4) relation extraction (3) contrastive learning (3) stochastic optimization (3) language model (3) structure learning (3) named entity recognition (3) domain adaptation (3) information retrieval (3) multimodal learning (3)

Papers

Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment AAAI 2026

Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026

Centrality-guided Pre-training for Graph ICLR 2025

FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network AAAI 2025

Correcting Large Language Model Behavior via Influence Function AAAI 2025

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025

COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025

RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization ACL 2025

Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning ACL 2025

TueCL at SemEval-2025 Task 1: Image-Augmented Prompting and Multimodal Reasoning for Enhanced Idiom Understanding ACL 2025

Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models COLING 2025

MagicQuill: An Intelligent Interactive Image Editing System CVPR 2025

Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework EMNLP 2025

4D Visual Pre-training for Robot Learning ICCV 2025

Dynamic Typography: Bringing Text to Life via Video Diffusion Prior ICCV 2025

Causally Motivated Sycophancy Mitigation for Large Language Models ICLR 2025

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025

Efficient Evolutionary Search Over Chemical Space with Large Language Models ICLR 2025

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery ICML 2025

Self-Generated Critiques Boost Reward Modeling for Language Models NAACL 2025

TueCL at SemEval-2025 Task 1: Image-Augmented Prompting and Multimodal Reasoning for Enhanced Idiom Understanding SEMEVAL 2025

Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024

Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL 2024

URG: A Unified Ranking and Generation Method for Ensembling Language Models ACL 2024

Multi-modal Stance Detection: New Datasets and Model ACL 2024

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC ACL 2024

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models ACL 2024

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models ACL 2024

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind ICML 2024

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring ICML 2024

ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling ACL 2024

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws ICML 2024

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024

Predicting Text Preference Via Structured Comparative Reasoning ACL 2024

A Lifelong Multilingual Multi-granularity Semantic Alignment Approach via Maximum Co-occurrence Probability COLING 2024

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024

TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation COLING 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024

SiFT: A Serial Framework with Textual Guidance for Federated Learning MICCAI 2024

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification EACL 2024

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs NIPS 2024

Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization ECCV 2024

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning ECCV 2024

Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NIPS 2024

HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024

At Which Training Stage Does Code Data Help LLMs Reasoning? ICLR 2024

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023

Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023

INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting NIPS 2023

Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023

Domain Agnostic Fourier Neural Operators NIPS 2023

ToolQA: A Dataset for LLM Question Answering with External Tools NIPS 2023

Provable Training for Graph Contrastive Learning NIPS 2023

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias NIPS 2023

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023

Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023

DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction ACL 2023

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL 2022

Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives EMNLP 2022

COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning EMNLP 2022

Self-Training with Differentiable Teacher NAACL 2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select EMNLP 2022

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models NAACL 2022

IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022

Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection ECCV 2022

DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021

SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020

MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning EMNLP 2020

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NIPS 2020

Double Quantization for Communication-Efficient Distributed Optimization NIPS 2019

Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019

GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL 2019

DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019

Optimal Cooperative Inference AISTATS 2018

Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017

Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints IJCAI 2016