Li-Zhen Cui

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

Known people with the same name:

Bibliography

2026
PaperRepro: Automated Computational Reproducibility Assessment for Social Science Papers.
CoRR, March, 2026

GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph Learning.
CoRR, January, 2026

M3MAD-Bench: Are Multi-Agent Debates Really Effective Across Domains and Modalities?
CoRR, January, 2026

Generalization of knowledge graph grounded models: A multi-perspective survey.
Inf. Fusion, 2026

Counterfactual Fairness with Imperfect Causal Graphs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models.
CoRR, November, 2025

Reliable Cross-modal Alignment via Prototype Iterative Construction.
CoRR, October, 2025

Relational Database Distillation: From Structured Tables to Condensed Graph Data.
CoRR, October, 2025

Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition.
CoRR, August, 2025

DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning.
CoRR, July, 2025

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.
CoRR, May, 2025

Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models.
CoRR, May, 2025

Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation.
CoRR, April, 2025

Efficient Heterogeneity-Aware Federated Active Data Selection.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning SQL Like a Human: Structure-Aware Curriculum Learning for Text-to-SQL Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

CodeV: Issue Resolving with Visual Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Exploring Intrinsic Alignments Within Text Corpus.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Federated Causally Invariant Feature Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
IoV environment exploring coordination: A federated learning approach.
Digit. Commun. Networks, 2024

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts.
CoRR, 2024

Epidemiology-informed Network for Robust Rumor Detection.
CoRR, 2024

Large Language Model Enhanced Text-to-SQL Generation: A Survey.
CoRR, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.
CoRR, 2024

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR, 2024

Lightweight Embeddings for Graph Collaborative Filtering.
CoRR, 2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.
CoRR, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
CoRR, 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
CoRR, 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards Efficient Auction Design with ROI Constraints.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
CoRR, 2023

Explicit Knowledge Graph Reasoning for Conversational Recommendation.
CoRR, 2023

Continuous Input Embedding Size Search For Recommender Systems.
CoRR, 2023

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder.
CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.
CoRR, 2023

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
NoiLin: Improving adversarial training and correcting stereotype of noisy labels.
Trans. Mach. Learn. Res., 2022

An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling.
Symmetry, 2022

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
CoRR, 2022

Unified Question Generation with Continual Lifelong Learning.
CoRR, 2022

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Residual Attention Network-Based Confidence Estimation Algorithm for Non-Holonomic Constraint in GNSS/INS Integrated Navigation System.
IEEE Trans. Veh. Technol., 2021

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks.
Int. J. Distributed Sens. Networks, 2021

Behavioral data assists decisions: exploring the mental representation of digital-self.
Int. J. Crowd Sci., 2021

Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR, 2021

Cross-modal Zero-shot Hashing by Label Attributes Embedding.
CoRR, 2021

Open-Set Crowdsourcing using Multiple-Source Transfer Learning.
CoRR, 2021

Crowdsourcing with Meta-Workers: A New Way to Save the Budget.
CoRR, 2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR, 2021

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.
CoRR, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.
CoRR, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.
CoRR, 2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering.
CoRR, 2021

Few-Shot Partial-Label Learning.
CoRR, 2021

NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?
CoRR, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.
CoRR, 2021

Noise-resistant Deep Metric Learning with Ranking-based Instance Selection.
CoRR, 2021

Towards Personalized Federated Learning.
CoRR, 2021

Graph Embedding for Recommendation against Attribute Inference Attacks.
CoRR, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
CoRR, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Discovering Influential Positions in RFID-Based Indoor Tracking Data.
Inf., 2020

Commonsense knowledge adversarial dataset that challenges ELECTRA.
CoRR, 2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
CoRR, 2020

Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR, 2020

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger.
Proceedings of the 37th International Conference on Machine Learning, 2020

PIDS: An Intelligent Electric Power Management Platform.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models.
Int. J. Crowd Sci., 2019

Generating Persuasive Visual Storylines for Promotional Videos.
CoRR, 2019

FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints.
CoRR, 2019

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.
CoRR, 2019

Ethically Aligned Opportunistic Scheduling for Productive Laziness.
CoRR, 2019

Ethically Aligned Multi-agent Coordination to Enhance Social Welfare.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
TPGraph: a hospital readmission prediction method based on temporal phenotype graphs.
Int. J. Data Min. Bioinform., 2018

Towards data-driven software engineering skills assessment.
Int. J. Crowd Sci., 2018

Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

SmartHS: An AI Platform for Improving Government Service Provision.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Framework for Online Process Concept Drift Detection from Event Streams.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017
Crowd wisdom drives intelligent manufacturing.
Int. J. Crowd Sci., 2017

Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning.
Int. J. Crowd Sci., 2017

Selling Reserved Instances through Pay-as-You-Go Model in Cloud Computing.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Performance Analysis of Cloud Computing Centers Serving Parallelizable Rendering Jobs Using M/M/c/r Queuing Systems.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Efficient scheduling in crowdsourcing based on workers' mood.
Proceedings of the IEEE International Conference on Agents, 2017

2016
A Cost-Effective Strategy for Storing Scientific Datasets with Multiple Service Providers in the Cloud.
CoRR, 2016

SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Maximizing the Availability of Process Services in Mobile Computing Environments.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014
Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art.
Proceedings of the 2014 10th International Conference on Semantics, 2014

Multi-tenant Service Composition Based on Granularity Computing.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
An Algorithm for Cost-Effectively Storing Scientific Datasets with Multiple Service Providers in the Cloud.
Proceedings of the 9th IEEE International Conference on eScience, 2013

2012
Business Process Oriented Platform-as-a-Service Framework for Process Instances Intensive Applications.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Dynamic Web Service Composition Method Based on Viterbi Algorithm.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

A Service Provisioning Strategy Based on SPEA2 for SaaS Applications in Cloud.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011
A New QoS Prediction Approach Based on User Clustering and Regression Algorithms.
Proceedings of the IEEE International Conference on Web Services, 2011

A Transaction Management Model Based on Compensation Planning Graph for Web Services Composition.
Proceedings of the IEEE International Conference on Web Services, 2011

2010
An efficient service search strategy in decentralized e-business environments.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

A Multi-Dimensional Measuring Model for E-travel Service in Decentralized Network.
Proceedings of the International Conference on E-Business and E-Government, 2010

2009
A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009

A User Experience-Oriented Service Discovery Method with Clustering Technology.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

Towards a Decentralized Cooperative BRMS for Service Collaborative Enterprise.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A data-intensive workflow scheduling algorithm for large-scale cooperative work platform.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A Data-Intensive Workflow Scheduling Algorithm for Grid Computing.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

2005
Business processes management based on stratified grid.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005


  Loading...