We stand with Ukraine

We stand with Ukraine

Jiabao Zhao

Orcid: 0000-0002-0691-5741

According to our database¹, Jiabao Zhao authored at least 49 papers between 2007 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

A Survey on the Optimization of Large Language Model-based Agents.

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ACM Comput. Surv., July, 2026

Long-Term Memory for VLA-based Agents in Open-World Task Execution.

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CoRR, April, 2026

CoViLLM: An Adaptive Human-Robot Collaborative Assembly Framework Using Large Language Models.

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CoRR, March, 2026

Adaptive task planning and coordination in multi-agent manufacturing systems using large language models.

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Ezekiel Hernandez

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Robotics Comput. Integr. Manuf., 2026

ACRA: An adaptive chain retrieval architecture for multi-modal knowledge-Augmented visual question answering.

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Knowl. Based Syst., 2026

An enhanced deep learning framework with Large Separable Kernel Attention and Reparameterized Dual Convolution for real-time cold-crack detection in laser cladding.

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Eng. Appl. Artif. Intell., 2026

2025

Mitigating reasoning hallucination through Multi-agent Collaborative Filtering.

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Expert Syst. Appl., 2025

FedDMC: Dual-Model Dynamic Interaction with Multi-Stage Correction for Noisy Federated Learning.

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Proceedings of the 37th International Conference on Software Engineering and Knowledge Engineering, 2025

MSA-SAM2Net: A Polyp Segmentation Framework Based on Large Kernel Multi-Scale Attention.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Lark: Low-Rank Updates After Knowledge Localization for Few-Shot Class-Incremental Learning.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Dynamically Causal-Enhanced Exercise Representations for Adaptive Knowledge Tracing.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-task Learning for HDD Failure Prediction in Heterogeneous Storage Systems.

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Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

DuST-Net: Dual-Stream Temporal Network for Early Alzheimer's Screening from Hierarchical Speech-Language Features.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Multimodal Fusion for Alzheimer's Detection from Spontaneous Speech in Label-Scarce Languages.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation.

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A survey of explainable knowledge tracing.

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Appl. Intell., April, 2024

Debiased Visual Question Answering via the perspective of question types.

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Pattern Recognit. Lett., 2024

FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models.

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CoRR, 2024

VIP-FSCIL: A More Robust Approach for FSCIL.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Artistry in Pixels: FVS - A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis.

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Proceedings of the IEEE International Conference on Acoustics, 2024

MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems.

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Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing.

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Expert Syst. Appl., April, 2023

Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective.

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Ind. Manag. Data Syst., 2023

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis.

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CoRR, 2023

CGMI: Configurable General Multi-Agent Interaction Framework.

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CoRR, 2023

FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models.

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CoRR, 2023

Uncertainty-Aware Few-Shot Class-Incremental Learning.

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Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs.

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IEEE Trans. Cybern., 2021

MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis.

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Jimmy Xiangji Huang

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Qinmin Vivian Hu

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Neurocomputing, 2021

A Two-Layer Architecture for Failure Prediction Based on High-Dimension Monitoring Sequences.

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Complex., 2021

Time Series Anomaly Detection Based on CEEMDAN and LSTM.

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Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification.

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Proceedings of the IEEE International Conference on Acoustics, 2021

Looking Wider for Better Adaptive Representation in Few-Shot Learning.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

基于深度强化学习的交通信号控制方法 (Traffic Signal Control Method Based on Deep Reinforcement Learning).

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计算机科学, 2020

Root Cause Analysis of Concurrent Alarms Based on Random Walk over Anomaly Propagation Graph.

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Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

An Improved Deep Multiple-input and Single-output PointNet for 3D Model Retrieval.

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Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Knowledge-Based Fine-Grained Classification For Few-Shot Learning.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Kinematic Characterization of a Target-Defense Problem With an Interception and Expelling Strategy.

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IEEE Trans. Cybern., 2019

A Novel Traffic Light Control Strategy With a Reconfigured Stop Line.

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Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Shape Self-Assembly for a Swarm of Agents.

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Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

Combined Flocking and Region-Based Shape Control for Multi-Agent Systems.

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Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2015

The Effectiveness of Virtual Reality for Studying Human Behavior in Fire.

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Proceedings of the Virtual, Augmented and Mixed Reality, 2015

2013

Non-Monotonic Attribute Reduction in Decision-Theoretic Rough Sets.

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Fundam. Informaticae, 2013

2012

Impact of Software Complexity on Development Productivity.

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Int. J. Softw. Eng. Knowl. Eng., 2012

An interval set model for learning rules from incomplete information table.

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Int. J. Approx. Reason., 2012

Cost-Sensitive Classification Based on Decision-Theoretic Rough Set Model.

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Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

2011

Attribute Reduction in Decision-Theoretic Rough Set Model: A Further Investigation.

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Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2007

Dynamic Project Management and its Application on Emergency Response System.

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Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

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