Yongfeng Zhang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services.
CoRR, October, 2025

ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network.
CoRR, August, 2025

MoralBench: Moral Evaluation of LLMs.
SIGKDD Explor., June, 2025

DeSocial: Blockchain-based Decentralized Social Networks.
CoRR, May, 2025

LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS.
CoRR, May, 2025

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design.
CoRR, May, 2025

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models.
CoRR, May, 2025

Planet as a Brain: Towards Internet of AgentSites based on AIOS Server.
CoRR, April, 2025

Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction.
CoRR, March, 2025

Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery.
CoRR, March, 2025

A Survey on Trustworthy LLM Agents: Threats and Countermeasures.
CoRR, March, 2025

ECCOS: Efficient Capability and Cost Coordinated Scheduling for Multi-LLM Serving.
CoRR, February, 2025

InstructAgent: Building User Controllable Recommender via LLM Agent.
CoRR, February, 2025

A-MEM: Agentic Memory for LLM Agents.
CoRR, February, 2025

AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback.
CoRR, January, 2025

Recommender Systems Meet Large Language Model Agents: A Survey.
Found. Trends Priv. Secur., 2025

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Content-Driven Micro-Video Recommendation Dataset at Scale.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

iAgent: LLM Agent as a Shield between User and Recommender Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

ADO: Automatic Data Optimization for Inputs in LLM Prompts.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis.
J. Heal. Informatics Res., December, 2024

Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods.
Remote. Sens., August, 2024

CLIP-Adapter: Better Vision-Language Models with Feature Adapters.
Int. J. Comput. Vis., February, 2024

Robustness-aware Automatic Prompt Optimization.
CoRR, 2024

PTR: Precision-Driven Tool Recommendation for Large Language Models.
CoRR, 2024

Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures.
CoRR, 2024

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.
CoRR, 2024

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow.
CoRR, 2024

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction.
CoRR, 2024

LawLLM: Law Large Language Model for the US Legal System.
CoRR, 2024

VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models.
CoRR, 2024

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation.
CoRR, 2024

SLMRec: Empowering Small Language Models for Sequential Recommendation.
CoRR, 2024

Large Language Model Agent for Fake News Detection.
CoRR, 2024

Memory Sharing for Large Language Model based Agents.
CoRR, 2024

Large Language Models in Biomedical and Health Informatics: A Bibliometric Review.
CoRR, 2024

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents.
CoRR, 2024

EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models.
CoRR, 2024

Pre-trained Language Models for Entity Blocking: A Reproducibility Study.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Combining Spaceborne GNSS-R Data and Ensemble Machine Learning Methods for the Retrieval Vegetation Optical Depth.
Proceedings of the IGARSS 2024, 2024

Language is All a Graph Needs.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A High-Performance UVA Photodetector Based on Polycrystalline Perovskite MAPbCl3/TiO2 Nanorods Heterojunctions.
Sensors, August, 2023

Bias-Free Predictive Control of Power Converters with LCL Filter in Micro-Energy Systems.
IEEE Trans. Ind. Electron., June, 2023

Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing.
Trans. Assoc. Comput. Linguistics, 2023

Design of Healthcare Lighting in Medical Centers Based on Power Carrier Communication.
Int. J. Inf. Technol. Syst. Approach, 2023

Exploring Fine-tuning ChatGPT for News Recommendation.
CoRR, 2023

LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation.
CoRR, 2023

Natural Language is All a Graph Needs.
CoRR, 2023

OpenP5: Benchmarking Foundation Models for Recommendation.
CoRR, 2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News.
CoRR, 2023

Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT.
CoRR, 2023

PBNR: Prompt-based News Recommender System.
CoRR, 2023

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI.
CoRR, 2023

Transferable Fairness for Cold-Start Recommendation.
CoRR, 2023

Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT.
Algorithms, 2023

A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News.
Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023), 2023

HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Improving neural topic modeling via Sinkhorn divergence.
Inf. Process. Manag., 2022

Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing.
CoRR, 2022

Causal Structure Learning with Recommendation System.
CoRR, 2022

Neural Logic Analogy Learning.
CoRR, 2022

System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Backstepping Terminal Sliding Mode Control of FOG Inertial Platform Stability Loop Based on Extended State Observer.
Proceedings of the 7th International Conference on Control, Robotics and Cybernetics, 2022

2021
Conversational Search and Recommendation: Introduction to the Special Issue.
ACM Trans. Inf. Syst., 2021

Initial Assessment of Galileo Triple-Frequency Ambiguity Resolution between Reference Stations in the Hong Kong Area.
Remote. Sens., 2021

Problem Learning: Towards the Free Will of Machines.
CoRR, 2021

RomeBERT: Robust Training of Multi-Exit BERT.
CoRR, 2021

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Novel Method for Mitigating the GPS Multipath Effect Based on a Multi-Point Hemispherical Grid Model.
Remote. Sens., 2020

FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

A Representation Learning Approach to Animal Biodiversity Conservation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
A Quantitative and Comparative Study of Network-Level Efficiency for Cloud Storage Services.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2019

Attentive Aspect Modeling for Review-Aware Recommendation.
ACM Trans. Inf. Syst., 2019

Special issue on multimedia recommendation and multi-modal data analysis.
Multim. Syst., 2019

Similarity Driven Approximation for Text Analytics.
CoRR, 2019

Finite-Time Trajectory Tracking Control for Overhead Crane Systems Subject to Unknown Disturbances.
IEEE Access, 2019

Image Recommendation With Reciprocal Social Influence.
IEEE Access, 2019

Visual Semantic Image Recommendation.
IEEE Access, 2019

Neural Variational Correlated Topic Modeling.
Proceedings of the World Wide Web Conference, 2019

Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

RMSE: Workshop on Recommendation in Multi-stakeholder Environments.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Recommendation in multistakeholder environments.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Tutorial on Explainable Recommendation and Search.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Model-Free Adaptive Integral Sliding Mode Control for 4-DOF Tower Crane Systems.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018
Triple-Frequency Code-Phase Combination Determination: A Comparison with the Hatch-Melbourne-Wübbena Combination Using BDS Signals.
Remote. Sens., 2018

2017
Detecting Stress Based on Social Interactions in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

Explainable Recommendation: Theory and Applications.
CoRR, 2017

Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Deep learning and interpolation for featured-based pattern classification.
PhD thesis, 2016

2015
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Interpolation aided fuzzy image classification.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Browser-oriented universal cross-site recommendation and explanation based on user browsing logs.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Interpolating Deep Spatio-Temporal Inference Network features for image classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Interpolating destin features for image classification.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

2012
Dynamics of a computational affective model inspired by Dörner's PSI theory.
Cogn. Syst. Res., 2012

2009
Research on Turn Ratio of Magnetic Valve Type Controlled Reactor Based on Bifurcation Theory.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


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