Yanghua Xiao

Orcid: 0000-0001-8403-9591

According to our database1, Yanghua Xiao authored at least 292 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI.
IEEE Trans. Knowl. Data Eng., November, 2024

Exploiting Duality in Aspect Sentiment Triplet Extraction With Sequential Prompting.
IEEE Trans. Knowl. Data Eng., November, 2024

XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding.
IEEE Trans. Knowl. Data Eng., March, 2024

Multi-Modal Knowledge Graph Construction and Application: A Survey.
IEEE Trans. Knowl. Data Eng., February, 2024

Faster Local Solvers for Graph Diffusion Equations.
CoRR, 2024

Iterative Methods via Locally Evolving Set Process.
CoRR, 2024

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.
CoRR, 2024

Revealing the Barriers of Language Agents in Planning.
CoRR, 2024

Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective.
CoRR, 2024

HOTVCOM: Generating Buzzworthy Comments for Videos.
CoRR, 2024

Past Meets Present: Creating Historical Analogy with Large Language Models.
CoRR, 2024

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
CoRR, 2024

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models.
CoRR, 2024

Recent Advancement of Emotion Cognition in Large Language Models.
CoRR, 2024

TravelAgent: An AI Assistant for Personalized Travel Planning.
CoRR, 2024

LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models.
CoRR, 2024

LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection.
CoRR, 2024

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models.
CoRR, 2024

VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It.
CoRR, 2024

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation.
CoRR, 2024

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs.
CoRR, 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.
CoRR, 2024

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction.
CoRR, 2024

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals.
CoRR, 2024

StrucText-Eval: An Autogenerated Benchmark for Evaluating Large Language Model's Ability in Structure-Rich Text Understanding.
CoRR, 2024

SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals.
CoRR, 2024

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation.
CoRR, 2024

From Persona to Personalization: A Survey on Role-Playing Language Agents.
CoRR, 2024

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation.
CoRR, 2024

Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?
CoRR, 2024

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience.
CoRR, 2024

Large Language Model Can Continue Evolving From Mistakes.
CoRR, 2024

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey.
CoRR, 2024

How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?
CoRR, 2024

Agent Group Chat: An Interactive Group Chat Simulacra For Better Eliciting Collective Emergent Behavior.
CoRR, 2024

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks.
CoRR, 2024

The Missing Piece in Model Editing: A Deep Dive into the Hidden Damage Brought By Model Editing.
CoRR, 2024

OVEL: Large Language Model as Memory Manager for Online Video Entity Linking.
CoRR, 2024

ConcEPT: Concept-Enhanced Pre-Training for Language Models.
CoRR, 2024

TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size.
Comput. Methods Programs Biomed., 2024

A crossword solving system based on Monte Carlo tree search.
Artif. Intell., 2024

TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Exploiting Duality in Open Information Extraction with Predicate Prompt.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

XMeCap: Meme Caption Generation with Sub-Image Adaptability.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

TravelPlanner: A Benchmark for Real-World Planning with Language Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Novel Cascade Instruction Tuning Method for Biomedical NER.
Proceedings of the IEEE International Conference on Acoustics, 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SEGMENT+: Long Text Processing with Short-Context Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Empowering Biomedical Named Entity Recognition through Multi-Tagger Collaboration.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

M<sup>2</sup>ConceptBase: A Fine-Grained Aligned Concept-Centric Multimodal Knowledge Base.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

GeoAgent: To Empower LLMs using Geospatial Tools for Address Standardization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

HOTVCOM: Generating Buzzworthy Comments for Videos.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Can Large Language Models Understand Real-World Complex Instructions?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Small Language Model Can Self-Correct.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sweet Apple, company? or food? Adjective-centric commonsense knowledge acquisition with taxonomy-guided induction.
Knowl. Based Syst., November, 2023

Learning Dual-view User Representations for Enhanced Sequential Recommendation.
ACM Trans. Inf. Syst., October, 2023

EASC: An exception-aware semantic compression framework for real-world knowledge graphs.
Knowl. Based Syst., October, 2023

Multi-task entity linking with supervision from a taxonomy.
Knowl. Inf. Syst., October, 2023

Noun Compound Interpretation With Relation Classification and Paraphrasing.
IEEE Trans. Knowl. Data Eng., September, 2023

Prototypical Concept Representation.
IEEE Trans. Knowl. Data Eng., July, 2023

Towards Fine-Grained Concept Generation.
IEEE Trans. Knowl. Data Eng., 2023

M2ConceptBase: A Fine-grained Aligned Multi-modal Conceptual Knowledge Base.
CoRR, 2023

A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics.
CoRR, 2023

Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources.
CoRR, 2023

Can Large Language Models Understand Real-World Complex Instructions?
CoRR, 2023

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.
CoRR, 2023

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark).
CoRR, 2023

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
CoRR, 2023

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation.
CoRR, 2023

Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining.
CoRR, 2023

BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark.
CoRR, 2023

What Image do You Need? A Two-stage Framework for Image Selection in E-commerce.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Can Pre-trained Language Models Understand Chinese Humor?
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MA-MRC: A Multi-answer Machine Reading Comprehension Dataset.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Visual Taxonomy Expansion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient Single-Source SimRank Query by Path Aggregation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

M3PT: A Multi-Modal Model for POI Tagging.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ServerRCA: Root Cause Analysis for Server Failure using Operating System Logs.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Group Buying Recommendation Model Based on Multi-task Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Semi-supervised Learning for Fine-Grained Entity Typing with Mixed Label Smoothing and Pseudo Labeling.
Proceedings of the Database Systems for Advanced Applications, 2023

A Unified Visual Prompt Tuning Framework with Mixture-of-Experts for Multimodal Information Extraction.
Proceedings of the Database Systems for Advanced Applications, 2023

HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Causality-aware Concept Extraction based on Knowledge-guided Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Distilling Script Knowledge from Large Language Models for Constrained Language Planning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Adaptive Ordered Information Extraction with Deep Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

GANTEE: Generative Adversarial Network for Taxonomy Enterance Evaluation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

End-to-End Entity Linking with Hierarchical Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Converge to the Truth: Factual Error Correction via Iterative Constrained Editing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Probit Tensor Factorization Model For Relational Learning.
J. Comput. Graph. Stat., July, 2022

Generating Knowledge-Based Attentive User Representations for Sparse Interaction Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Spiral of Silence and Its Application in Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Neurally-Guided Semantic Navigation in Knowledge Graph.
IEEE Trans. Big Data, 2022

Entity understanding with hierarchical graph learning for enhanced text classification.
Knowl. Based Syst., 2022

Rule mining over knowledge graphs via reinforcement learning.
Knowl. Based Syst., 2022

Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review.
IEEE Data Eng. Bull., 2022

Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation.
CoRR, 2022

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning.
CoRR, 2022

Semantic-based Data Augmentation for Math Word Problems.
CoRR, 2022

VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction.
Artif. Intell., 2022

A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database Construction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Diversified Query Generation Guided by Knowledge Graph.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Harvesting More Answer Spans from Paragraph beyond Annotation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Language Models as Knowledge Embeddings.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

CAT-MNER: Multimodal Named Entity Recognition with Knowledge-Refined Cross-Modal Attention.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Generative Entity Typing with Curriculum Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PromptMNER: Prompt-Based Entity-Related Visual Clue Extraction and Integration for Multimodal Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2022

Utilizing Expert Knowledge and Contextual Information for Sample-Limited Causal Graph Construction.
Proceedings of the Database Systems for Advanced Applications, 2022

Semantic-Based Data Augmentation for Math Word Problems.
Proceedings of the Database Systems for Advanced Applications, 2022

Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2022

Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2022

Modeling Uncertainty in Neural Relation Extraction.
Proceedings of the Database Systems for Advanced Applications, 2022

FalCon: A Faithful Contrastive Framework for Response Generation in TableQA Systems.
Proceedings of the Database Systems for Advanced Applications, 2022

Human-in-the-loop Robotic Grasping Using BERT Scene Representation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Improving Continual Relation Extraction through Prototypical Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Can We Have Both Fish and Bear's Paw?: Improving Performance, Reliability, and both of them for Relation Extraction under Label Shift.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Context-Enhanced Transformer with Abbr-Recover Policy for Chinese Abbreviation Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Crossword Puzzle Resolution via Monte Carlo Tree Search.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Pre-trained Language Models Interpret Similes as Smart as Human?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Unsupervised Editing for Counterfactual Stories.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Review on Graph Neural Network Methods in Financial Applications.
CoRR, 2021

FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion.
CoRR, 2021

Relation Aware Semi-autoregressive Semantic Parsing for NL2SQL.
CoRR, 2021

A Question-answering Based Framework for Relation Extraction Validation.
CoRR, 2021

Large-Scale Multi-granular Concept Extraction Based on Machine Reading Comprehension.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

SILVER: Generating Persuasive Chinese Product Pitch.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Diversified Paraphrase Generation with Commonsense Knowledge Graph.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Bootstrapping Information Extraction via Conceptualization.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Incorporating Complete Syntactical Knowledge for Spoken Language Understanding.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Revisiting the Negative Data of Distantly Supervised Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Term Embeddings for Lexical Taxonomies.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Understanding a bag of words by conceptual labeling with prior weights.
World Wide Web, 2020

Explaining a bag of words with hierarchical conceptual labels.
World Wide Web, 2020

Surface pattern-enhanced relation extraction with global constraints.
Knowl. Inf. Syst., 2020

LOREN: Logic Enhanced Neural Reasoning for Fact Verification.
CoRR, 2020

InSRL: A Multi-view Learning Framework Fusing Multiple Information Sources for Distantly-supervised Relation Extraction.
CoRR, 2020

Complex Relation Extraction: Challenges and Opportunities.
CoRR, 2020

Collective Loss Function for Positive and Unlabeled Learning.
CoRR, 2020

A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CapableOf Reasoning: A Step Towards Commonsense Oracle.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Mining Verb-Oriented Commonsense Knowledge.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Learning Knowledge Embeddings with Prior Weights for Sparse Interaction Recommendation.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

EntityLDA: A Topic Model for Entity Retrieval on Knowledge Graph.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Mining Infrequent High-Quality Phrases from Domain-Specific Corpora.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Attacking Recommender Systems with Augmented User Profiles.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Co-refining User and Item Representations with Feature-level Self-attention for Enhanced Recommendation.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base.
Data Intell., 2019

Interpretable Text Classification Using CNN and Max-pooling.
CoRR, 2019

ACCF: Learning Attentional Conformity for Collaborative Filtering.
IEEE Access, 2019

Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Spiral of Silence in Recommender Systems.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Charge Prediction with Legal Attention.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation Extraction Using Supervision from Topic Knowledge of Relation Labels.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Community-Based Collaborative Filtering Method for Social Recommender Systems.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Towards the Completion of a Domain-Specific Knowledge Base with Emerging Query Terms.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

CN-Probase: A Data-Driven Approach for Large-Scale Chinese Taxonomy Construction.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Deep Recommendation Model Incorporating Adaptive Knowledge-Based Representations.
Proceedings of the Database Systems for Advanced Applications, 2019

Hierarchical Conceptual Labeling.
Proceedings of the Database Systems for Advanced Applications, 2019

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Knowledge embedding towards the recommendation with sparse user-item interactions.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Non-Compensatory Psychological Models for Recommender Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deep Short Text Classification with Knowledge Powered Attention.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Social Communication Network: Case Study.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Timeline: A Chinese Event Extraction and Exploration System.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-Based Models.
Proceedings of the IEEE International Conference on Data Mining, 2018

An Effective Method for Identifying Unknown Unknowns with Noisy Oracle.
Proceedings of the Case-Based Reasoning Research and Development, 2018

METIC: Multi-Instance Entity Typing from Corpus.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Short Text Entity Linking with Fine-grained Topics.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Social Tag Embedding for the Recommendation with Sparse User-Item Interactions.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Probase+: Inferring Missing Links in Conceptual Taxonomies.
IEEE Trans. Knowl. Data Eng., 2017

Stylus: A Strongly-Typed Store for Serving Massive RDF Data.
Proc. VLDB Endow., 2017

KBQA: Learning Question Answering over QA Corpora and Knowledge Bases.
Proc. VLDB Endow., 2017

Billion-Node Graph Challenges.
IEEE Data Eng. Bull., 2017

Entity Suggestion with Conceptual Expanation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CN-DBpedia: A Never-Ending Chinese Knowledge Extraction System.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

XMLValue: XML Configuration Attribute Value Recommendation.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Automatic Navbox Generation by Interpretable Clustering over Linked Entities.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
G-SQL: Fast Query Processing via Graph Exploration.
Proc. VLDB Endow., 2016

Learning Defining Features for Categories.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

KBQA: An Online Template Based Question Answering System over Freebase.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Syntactic Parsing of Web Queries.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Cross-Lingual Type Inference.
Proceedings of the Database Systems for Advanced Applications, 2016

Verb Pattern: A Probabilistic Semantic Representation on Verbs.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Entity Suggestion by Example using a Conceptual Taxonomy.
CoRR, 2015

Long Concept Query on Conceptual Taxonomies.
CoRR, 2015

Shortest Path and Word Vector Based Relation Representation and Clustering.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Web Knowledge Base Improved OCR Correction for Chinese Business Cards.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

<i>Cheetah</i>: Fast Graph Kernel Tracking on Dynamic Graphs.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

On Conceptual Labeling of a Bag of Words.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic-Based Recommendation Across Heterogeneous Domains.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Cross-Site Virtual Social Network Construction.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling.
Proceedings of the Database Systems for Advanced Applications, 2015

A Graph-based Recommendation across Heterogeneous Domains.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

An Inference Approach to Basic Level of Categorization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Robust network construction against intentional attacks.
Proceedings of the 2015 International Conference on Big Data and Smart Computing, 2015

Towards Topic Following in Heterogeneous Information Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Social Communication Network, Case Study.
Encyclopedia of Social Network Analysis and Mining, 2014

Efficient processing of label-constraint reachability queries in large graphs.
Inf. Syst., 2014

The Links Have It: Infobox Generation by Summarization over Linked Entities.
CoRR, 2014

Tag propagation based recommendation across diverse social media.
Proceedings of the 23rd International World Wide Web Conference, 2014

Local search of communities in large graphs.
Proceedings of the International Conference on Management of Data, 2014

How to partition a billion-node graph.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

WiiCluster: a Platform for Wikipedia Infobox Generation.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Toward a Distance Oracle for Billion-Node Graphs.
Proc. VLDB Endow., 2013

Online search of overlapping communities.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Incremental Sensor Placement Optimization on Water Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012
Optimizing K<sup>2</sup> trees: A case for validating the maturity of network of practices.
Comput. Math. Appl., 2012

Managing and mining large graphs: systems and implementations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Which Topic Will You Follow?
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

SCuV: a novel software clustering and visualization tool.
Proceedings of the SPLASH'12, 2012

Cloud Based Test Coverage Service.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Mining application repository to recommend XML configuration snippets.
Proceedings of the 34th International Conference on Software Engineering, 2012

Branch Code: A Labeling Scheme for Efficient Query Answering on Trees.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

XMLSnippet: A Coding Assistant for XML Configuration Snippet Recommendation.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference, 2012

2011
Robustness of Complex Networks against Attacks Guided by Damage
CoRR, 2011

Dynamic Anonymization for Marginal Publication.
Proceedings of the Scientific and Statistical Database Management, 2011

Permutation Anonymization: Improving Anatomy for Privacy Preservation in Data Publication.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Regression Testing as a Service.
Proceedings of the IEEE International Conference on Web Services, 2011

A novel approach to regression test selection for J2EE applications.
Proceedings of the IEEE 27th International Conference on Software Maintenance, 2011

A novel approach for alignments output storage problem facing clinical scenarios.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Towards a Maturity Model for Networks of Practice: A Case of K2 Tree Optimization.
Proceedings of the 2011 International Conference on Emerging Intelligent Data and Web Technologies, 2011

Answering label-constraint reachability in large graphs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Integrated analysis of mutations, miRNA and mRNA expression in glioblastoma.
BMC Syst. Biol., 2010

k-symmetry model for identity anonymization in social networks.
Proceedings of the EDBT 2010, 2010

2009
Symmetry in world trade network.
J. Syst. Sci. Complex., 2009

Efficiently indexing shortest paths by exploiting symmetry in graphs.
Proceedings of the EDBT 2009, 2009

2008
Structure-based graph distance measures of high degree of precision.
Pattern Recognit., 2008

Efficient Algorithms for Node Disjoint Subgraph Homeomorphism Determination.
Proceedings of the Database Systems for Advanced Applications, 2008


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