Xu Han

141 papers · 2015–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10) 🗺️ Taxonomy Completionist (18) 🏠 Conference Loyalist (36) 🤝 Dynamic Duo (92) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (26) 🏆 Keyword Champion (2) 📈 Trend Setter 🔥 Unstoppable (8) 🚀 Conference Pioneer ⚡ Prolific Year (30) 💎 Century Club (138) ❓ The Questioner 🗃️ Keyword Collector (50)

Conferences

ACL (36) EMNLP (32) AAAI (11) IJCNLP (8) ICLR (8) COLING (8) ICML (7) MICCAI (7) NAACL (5) NIPS (5) CVPR (4) ICCV (3) IJCAI (2) AACL (2) ECCV (1) JMLR (1) SEMEVAL (1)

Top co-authors

Zhiyuan Liu (92) Maosong Sun (77) Jie Zhou (33) Yankai Lin (30) Peng Li (21) Chaojun Xiao (14) Zhengyan Zhang (13) Yuan Yao (13) Juanzi Li (13) Ruobing Xie (13)

Research topics

Digital Humanities (1)

Keywords

large language model (20) few-shot learning (14) relation extraction (12) model compression (11) neural network (10) pre-trained language model (10) language model (9) knowledge graph (9) distant supervision (8) transfer learning (8) named entity recognition (8) information extraction (5) relation classification (5) knowledge base (5) domain adaptation (5) inference efficiency (4) parameter-efficient fine-tuning (4) memory optimization (4) retrieval-augmented generation (4) event argument extraction (4)

Papers

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning AAAI 2026

CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis AAAI 2026

EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization AAAI 2026

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning MICCAI 2025

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding AAAI 2025

RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis MICCAI 2025

Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching MICCAI 2025

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling ACL 2025

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025

APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025

Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages ACL 2025

LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators ACL 2025

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025

PDF-Net: Prototype-Aware Dynamic Fusion Network for Nasopharyngeal Carcinoma T-staging Classification with Epstein-Barr Virus DNA MICCAI 2025

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising MICCAI 2025

Sparsing Law: Towards Large Language Models with Greater Activation Sparsity ICML 2025

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting ICML 2025

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ICLR 2025

Progressive Compositionality in Text-to-Image Generative Models ICLR 2025

Divergence-enhanced Knowledge-guided Context Optimization for Visual-Language Prompt Tuning ICLR 2025

HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss ICCV 2025

DeepNote: Note-Centric Deep Retrieval-Augmented Generation EMNLP 2025

PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models EMNLP 2025

KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases EMNLP 2025

CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China EMNLP 2025

Cost-Optimal Grouped-Query Attention for Long-Context Modeling EMNLP 2025

MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning CVPR 2025

Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation CVPR 2025

SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds CVPR 2025

Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slips COLING 2025

ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models COLING 2025

Cognitive Mirroring for DocRE: A Self-Supervised Iterative Reflection Framework with Triplet-Centric Explicit and Implicit Feedback ACL 2025

AutoClean: LLMs Can Prepare Their Training Corpus NAACL 2025

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025

Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training COLING 2024

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024

OneBit: Towards Extremely Low-bit Large Language Models NIPS 2024

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory NIPS 2024

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds AAAI 2024

MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models AAAI 2024

OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems ACL 2024

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024

FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection ACL 2024

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024

∞Bench: Extending Long Context Evaluation Beyond 100K Tokens ACL 2024

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs ACL 2024

Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis ACL 2024

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024

High-Order Semantic Alignment for Unsupervised Fine-Grained Image-Text Retrieval COLING 2024

MUCH: A Multimodal Corpus Construction for Conversational Humor Recognition Based on Chinese Sitcom COLING 2024

Robust and Scalable Model Editing for Large Language Models COLING 2024

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception ECCV 2024

Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models EMNLP 2024

Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding EMNLP 2024

Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents EMNLP 2024

Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models EMNLP 2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation ICLR 2024

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024

ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning ICLR 2024

Predicting Emergent Abilities with Infinite Resolution Evaluation ICLR 2024

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables ICML 2024

Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024

LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024

Emergent Modularity in Pre-trained Transformers ACL 2023

Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023

Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NIPS 2023

PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer ACL 2023

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023

Plug-and-Play Document Modules for Pre-trained Models ACL 2023

H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training NIPS 2023

Recyclable Tuning for Continual Pre-training ACL 2023

Chinese Metaphorical Relation Extraction EMNLP 2023

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023

WebCPM: Interactive Web Search for Chinese Long-form Question Answering ACL 2023

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023

BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022

PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022

Fully Hyperbolic Neural Networks ACL 2022

Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages ACL 2022

Predicting Physics in Mesh-reduced Space with Temporal Attention ICLR 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022

GACT: Activation Compressed Training for Generic Network Architectures ICML 2022

Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022

Knowledge Inheritance for Pre-trained Language Models NAACL 2022

BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022

Prompt-learning for Fine-grained Entity Typing EMNLP 2022

Visual Distant Supervision for Scene Graph Generation ICCV 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset IJCNLP 2021

CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021

Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021

Open Hierarchical Relation Extraction NAACL 2021

Local Temperature Scaling for Probability Calibration ICCV 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction ACL 2021

GAN Ensemble for Anomaly Detection AAAI 2021

CLEVE: Contrastive Pre-training for Event Extraction ACL 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021

MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph EMNLP 2020

Collecting Verified COVID-19 Question Answer Pairs EMNLP 2020

IsOBS: An Information System for Oracle Bone Script EMNLP 2020

Neural Snowball for Few-Shot Relation Learning AAAI 2020

Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020

Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training AAAI 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification ACL 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019

HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction EMNLP 2019

Adversarial Training for Weakly Supervised Event Detection NAACL 2019

Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019

Quantifying Similarity between Relations with Fact Distribution ACL 2019

ERNIE: Enhanced Language Representation with Informative Entities ACL 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data IJCNLP 2019

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations IJCNLP 2019

HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019

Networks for Joint Affine and Non-Parametric Image Registration CVPR 2019

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention EMNLP 2018

Put It Back: Entity Typing with Language Model Enhancement EMNLP 2018

Complementary Binary Quantization for Joint Multiple Indexing IJCAI 2018

Adversarial Multi-lingual Neural Relation Extraction COLING 2018

OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 2018

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018

UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 SEMEVAL 2015