Yanan Cao

Orcid: 0000-0003-3534-1094

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
  • University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China


According to our database1, Yanan Cao authored at least 132 papers between 2007 and 2025.

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

Timeline

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Bibliography

2025
RANA: Robust Active Learning for Noisy Network Alignment.
CoRR, July, 2025

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.
CoRR, June, 2025

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing.
CoRR, June, 2025

Contrastive Modality-Disentangled Learning for Multimodal Recommendation.
ACM Trans. Inf. Syst., May, 2025

Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction.
CoRR, May, 2025

NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables.
CoRR, April, 2025

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

A data-centric framework of improving graph neural networks for knowledge graph embedding.
World Wide Web (WWW), January, 2025

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection.
Neural Networks, 2025

Recursively summarizing enables long-term dialogue memory in large language models.
Neurocomputing, 2025

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.
Proceedings of the ACM on Web Conference 2025, 2025

Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition.
Proceedings of the ACM on Web Conference 2025, 2025

Reasoning and Retrieval for Complex Semi-structured Tables via Reinforced Relational Data Transformation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Adaptive Social Bot Detection through Bridging the Feature Bias Between Source and Target Users.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW), May, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2024

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding.
CoRR, 2024

A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation.
CoRR, 2024

Think out Loud: Emotion Deducing Explanation in Dialogues.
CoRR, 2024

Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience.
Proceedings of the ACM on Web Conference 2024, 2024

Generative Models for Complex Logical Reasoning over Knowledge Graphs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Steering Large Language Models for Cross-lingual Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TISE: A Tripartite In-context Selection Method for Event Argument Extraction.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024

Towards One-to-Many Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.
ACM Trans. Inf. Syst., October, 2023

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.
Pattern Recognit., 2023

A Group Fairness Lens for Large Language Models.
CoRR, 2023

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models.
CoRR, 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
CoRR, 2023

Multi-Aspect Heterogeneous Graph Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information.
Proceedings of the IEEE International Conference on Acoustics, 2023

Seri: Sketching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Empirical Study of Instruction-tuning Large Language Models in Chinese.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Confident Slot Iterative Learning for Multi-Domain Dialogue State Tracking.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
API-GNN: attribute preserving oriented interactive graph neural network.
World Wide Web, 2022

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR, 2022

H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Semantics-Guided Disentangled Learning for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Non-Autoregressive Chinese ASR Error Correction with Phonological Training.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Detach and Attach: Stylized Image Captioning without Paired Stylized Dataset.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Task-level Relations Modelling for Graph Meta-learning.
Proceedings of the IEEE International Conference on Data Mining, 2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
RLINK: Deep reinforcement learning for user identity linkage.
World Wide Web, 2021

Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding.
CoRR, 2021

Task-adaptive Neural Process for User Cold-Start Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Incorporating Specific Knowledge into End-to-End Task-oriented Dialogue Systems.
Proceedings of the International Joint Conference on Neural Networks, 2021

Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling.
Proceedings of the Computational Science - ICCS 2021, 2021

Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2021

SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Deep Differential Amplifier for Extractive Summarization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

HIN: Hierarchical Inference Network for Document-Level Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

CLTS: A New Chinese Long Text Summarization Dataset.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Graph Geometry Interaction Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Abstractive Summarization with Iterative Representation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Data Augmentation for Insider Threat Detection with GAN.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Exploratory Adversarial Attacks on Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DistilSum: : Distilling the Knowledge for Extractive Summarization.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RLINK: Deep Reinforcement Learning for User Identity Linkage.
CoRR, 2019

Joint Entity Linking with Deep Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019

Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Abstractive Text Summarization with Multi-Head Attention.
Proceedings of the International Joint Conference on Neural Networks, 2019

PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Attention-Based LSTM for Insider Threat Detection.
Proceedings of the Applications and Techniques in Information Security, 2019

2018
A Sequence Transformation Model for Chinese Named Entity Recognition.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Sequence Generative Adversarial Network for Long Text Summarization.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Insider Threat Detection with Deep Neural Network.
Proceedings of the Computational Science - ICCS 2018, 2018

Adversarial Reinforcement Learning for Chinese Text Summarization.
Proceedings of the Computational Science - ICCS 2018, 2018

Column Concept Determination for Chinese Web Tables via Convolutional Neural Network.
Proceedings of the Computational Science - ICCS 2018, 2018

An Adversarial Training Framework for Relation Classification.
Proceedings of the Computational Science - ICCS 2018, 2018

Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Reinforcement Learning for Joint Extraction of Entities and Relations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Hierarchical Attention Networks for User Profile Inference in Social Media Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Boosting imbalanced data learning with Wiener process oversampling.
Frontiers Comput. Sci., 2017

Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Inferring Social Network User's Interest Based on Convolutional Neural Network.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold.
Proceedings of the International Conference on Computational Science, 2017

A co-training method for identifying the same person across social networks.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2015
Tree Based Shape Similarity Measurement for Chinese Characters.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Two-Phased Event Causality Acquisition: Coupling the Boundary Identification and Argument Identification Approaches.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Combining geographical information of users and content of items for accurate rating prediction.
Proceedings of the 23rd International World Wide Web Conference, 2014

Forward Classification on Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

On the Frequency Distribution of Retweets.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Estimating the Locations of Emergency Events from Twitter Streams.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Minimizing the Negative Influence by Blocking Links in Social Networks.
Proceedings of the Trustworthy Computing and Services - International Conference, 2014

Improving Collaborative Recommendation via Location-based User-item Subgroup.
Proceedings of the International Conference on Computational Science, 2014

Mining Large-scale Event Knowledge from Web Text.
Proceedings of the International Conference on Computational Science, 2014

Event Recommendation in Event-Based Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Combining Heterogenous Social and Geographical Information for Event Recommendation.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A Survey of Commonsense Knowledge Acquisition.
J. Comput. Sci. Technol., 2013

Research of Intrusion Detection System on Android.
Proceedings of the IEEE Ninth World Congress on Services, 2013

Behavioral targeting with social regularization.
Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

Item-Based Top-k Influential User Discovery in Social Networks.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Personalized influence maximization on social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Parallel auto-encoder for efficient outlier detection.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Efficient Behavior Targeting Using SVM Ensemble Indexing.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2010
Extracting Comparative Commonsense from the Web.
Proceedings of the Intelligent Information Processing V, 2010

2008
Measuring Taxonomic Similarity between Words Using Restrictive Context Matrices.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Acquiring Commonsense Knowledge about Properties of Concepts from Text.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
Learning Concepts from Text Based on the Inner-Constructive Model.
Proceedings of the Knowledge Science, 2007


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