Xiuying Chen

Orcid: 0000-0002-6633-0796

According to our database1, Xiuying Chen authored at least 123 papers between 2012 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph.
CoRR, August, 2025

FineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI Agents.
CoRR, August, 2025

From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media.
CoRR, August, 2025

New Paradigm for Evaluating Scholar Summaries: A Facet-aware Metric and a Meta-evaluation Benchmark.
ACM Trans. Inf. Syst., July, 2025

Under the Shadow of Babel: How Language Shapes Reasoning in LLMs.
CoRR, June, 2025

DeepShop: A Benchmark for Deep Research Shopping Agents.
CoRR, June, 2025

Evaluating and mitigating bias in AI-based medical text generation.
Nat. Comput. Sci., May, 2025

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models.
CoRR, May, 2025

ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.
CoRR, May, 2025

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games.
CoRR, May, 2025

Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs.
CoRR, May, 2025

Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models.
CoRR, May, 2025

Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking.
CoRR, May, 2025

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News.
CoRR, May, 2025

Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory.
CoRR, April, 2025

Stick to Facts: Towards Fidelity-oriented Product Description Generation.
CoRR, March, 2025

Unified Multi-Scenario Summarization Evaluation and Explanation.
IEEE Trans. Knowl. Data Eng., February, 2025

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.
CoRR, February, 2025

Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Style.
CoRR, February, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR, February, 2025

PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection.
CoRR, February, 2025

Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework.
CoRR, February, 2025

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.
CoRR, February, 2025

Breaking Focus: Contextual Distraction Curse in Large Language Models.
CoRR, February, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
CoRR, January, 2025

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses.
J. Biomed. Informatics, 2025

SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

<i>The Truth Becomes Clearer Through Debate!</i> Multi-Agent Systems with Large Language Models Unmask Fake News.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Cognitive Writing Perspective for Constrained Long-Form Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Word Form Matters: LLMs' Semantic Reconstruction under Typoglycemia.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Does environmental regulation pressure induce the green innovation of enterprises? Quasi-natural experiment of China's air pollution prevention and control action plan.
Technol. Anal. Strateg. Manag., December, 2024

Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models.
CoRR, 2024

A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns.
CoRR, 2024

AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
CoRR, 2024

From a Tiny Slip to a Giant Leap: An LLM-Based Simulation for Fake News Evolution.
CoRR, 2024

QUIDS: Query Intent Generation via Dual Space Modeling.
CoRR, 2024

ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering.
CoRR, 2024

Advanced Framework for Animal Sound Classification With Features Optimization.
CoRR, 2024

What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks.
CoRR, 2024

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers.
CoRR, 2024

Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations.
CoRR, 2024

LLM-Driven Agents for Influencer Selection in Digital Advertising Campaigns.
CoRR, 2024

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4.
CoRR, 2024

Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark.
CoRR, 2024

A Multi-Agent Conversational Recommender System.
CoRR, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.
CoRR, 2024

Opportunities and challenges for ChatGPT and large language models in biomedicine and health.
Briefings Bioinform., 2024

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search.
Proceedings of the ACM on Web Conference 2024, 2024

Multi-Intent Attribute-Aware Text Matching in Searching.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Flexible and Adaptable Summarization via Expertise Separation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Large Language Model Based Multi-agents: A Survey of Progress and Challenges.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

A Property-Guided Diffusion Model For Generating Molecular Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024

Think as People: Context-Driven Multi-Image News Captioning with Adaptive Dual Attention.
Proceedings of the IEEE International Conference on Acoustics, 2024

IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph.
IEEE Trans. Knowl. Data Eng., September, 2023

Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order.
ACM Trans. Inf. Syst., January, 2023

Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.
CoRR, 2023

Automated Bioinformatics Analysis via AutoBA.
CoRR, 2023

Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost.
CoRR, 2023

Interactive Natural Language Processing.
CoRR, 2023

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately.
CoRR, 2023

Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order.
CoRR, 2023

EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Topic-aware Summarization Framework with Different Modal Side Information.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards a Unified Framework for Reference Retrieval and Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

UMSE: Unified Multi-scenario Summarization Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Dialogue Summarization with Static-Dynamic Structure Fusion Graph.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Decouple knowledge from paramters for plug-and-play language modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving the Robustness of Summarization Systems with Dual Augmentation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning towards Selective Data Augmentation for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Target-aware Abstractive Related Work Generation with Contrastive Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Improving Faithfulness in Abstractive Summarization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Digital Management Capability and Innovation of Manufacturing Enterprises in the Era of Big Data.
Proceedings of the ICBDE'22: The 2022 5th International Conference on Big Data and Education, Shanghai, China, February 26, 2022

Summarizing Procedural Text: Data and Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Scientific Paper Extractive Summarization Enhanced by Citation Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Artificial Intelligence and the Evolution of Global Value Chains in the Context of Intelligent Manufacturing.
Proceedings of the AIEE 2022: The 3rd International Conference on Artificial Intelligence in Electronics Engineering, Bangkok Thailand, January 11, 2022

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Meaningful Answer Generation of E-Commerce Question-Answering.
ACM Trans. Inf. Syst., 2021

Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog.
ACM Trans. Inf. Syst., 2021

How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution.
Proceedings of the Companion of The Web Conference 2021, 2021

Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

The Construction of Super Smart Cities and the Internet of Things Listed Companies' Total Factor Productivity.
Proceedings of the EBEE 2021: 3rd International Conference on E-Business and E-commerce Engineering, Sanya, China, December 17, 2021

Digital Transformation and Innovation Performance of High-Tech SMEs: Evidence from the Internet Big Data.
Proceedings of the EBEE 2021: 3rd International Conference on E-Business and E-commerce Engineering, Sanya, China, December 17, 2021

BioGen: Generating Biography Summary under Table Guidance on Wikipedia.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Selection and Generation: Learning towards Multi-Product Advertisement Post Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search.
CoRR, 2019

Learning towards Abstractive Timeline Summarization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Abstractive Text Summarization by Incorporating Reader Comments.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Privacy-Preserving Collaborative Model Learning: The Case of Word Vector Training.
IEEE Trans. Knowl. Data Eng., 2018

An Evolutionary Energy Prediction Model for Solar Energy-Harvesting Wireless Sensor Networks.
Proceedings of the Data Science, 2018

Iterative Document Representation Learning Towards Summarization with Polishing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2015
Achievable transmission capacity of cognitive radio networks with cooperative relaying.
EURASIP J. Wirel. Commun. Netw., 2015

2012
Diffusion tensor imaging characterization of occult brain damage in relapsing neuromyelitis optica using 3.0T magnetic resonance imaging techniques.
NeuroImage, 2012

Achievable transmission capacity of cognitive mesh networks with different media access control.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Achievable transmission capacity of cognitive radio networks with cooperative relaying.
Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks, 2012


  Loading...