Yuxin Wu

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

Bibliography

2026
Aspect-level sentiment analysis based on graph convolutional networks and interactive aggregate attention.
Comput. Speech Lang., 2026

2025
GAN-CLC-DGSR: Generative adversarial network framework with contrastive learning classifier for simultaneous time series data generation and state recognition.
Appl. Intell., September, 2025

Correction: LMR-IPGN: An Effective Model for automatic summarization of Chinese text.
Multim. Syst., August, 2025

Multiagent Deep Reinforcement Learning for Transactive Energy Management of MMGs Incorporating Battery Swapping Stations.
IEEE Trans. Ind. Informatics, July, 2025

LMR-IPGN: An Effective Model for automatic summarization of Chinese long text.
Multim. Syst., June, 2025

Incentive Sharing: A Consumer-Data Privacy Trusted Sharing Paradigm via Proximal Policy Optimization in Industry 5.0.
IEEE Trans. Consumer Electron., May, 2025

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning.
CoRR, May, 2025

Kimi-Audio Technical Report.
CoRR, April, 2025

Kimi-VL Technical Report.
CoRR, April, 2025

Time-variant quadratic programming solving by using finitely-activated RNN models with exact settling time.
Neural Comput. Appl., March, 2025

Muon is Scalable for LLM Training.
CoRR, February, 2025

MoBA: Mixture of Block Attention for Long-Context LLMs.
CoRR, February, 2025

MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar: A Feasibility Study.
IEEE Trans. Biomed. Eng., January, 2025

Kimi k1.5: Scaling Reinforcement Learning with LLMs.
CoRR, January, 2025

An Inertial and Ultra-Short Baseline Integrated Navigation Model With Isogradient Sound Speed Profile.
IEEE Trans. Instrum. Meas., 2025

A noval Dual-Parameter Structural Model with Enhanced traffic flow representations.
Neurocomputing, 2025

A strongly supervised hyperspectral unmixing framework for precise mineral composition and coal ash content estimation.
Eng. Appl. Artif. Intell., 2025

Mamba-MSCCA-Net: Efficient change detection for remote sensing images.
Displays, 2025

Data informativity for tracking control of learning systems: Test and design conditions.
Autom., 2025

Large-Scale Experimental Validation of Real-Time Monitoring in Underground Gas Storage Wells Using Distributed Fiber Optic Sensing.
IEEE Access, 2025

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Dual-Functional UAV-Empowered Space-Air-Ground Networks: Joint Communication and Sensing.
IEEE J. Sel. Areas Commun., December, 2024

Scoring Aided Federated Learning on Long-Tailed Data for Wireless IoMT Based Healthcare System.
IEEE J. Biomed. Health Informatics, June, 2024

Priority-Aware Resource Allocation for RIS-assisted Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach.
Wirel. Pers. Commun., May, 2024

Synchronizability-Based Distributed Learning Control for Multi-Agent Systems.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

WIPP_BATS2_Temperature_resistivity [Dataset].
Dataset, April, 2024

Variable linear transformation improved physics-informed neural networks to solve thin-layer flow problems.
J. Comput. Phys., March, 2024

Resilient Machine Learning-Based Semantic-Aware MEC Networks for Sustainable Next-G Consumer Electronics.
IEEE Trans. Consumer Electron., February, 2024

Priority-aware path planning and user scheduling for UAV-mounted MEC networks: A deep reinforcement learning approach.
Phys. Commun., February, 2024

Control-theoretic methods for solving linear algebraic equations: A continuous-time perspective.
Syst. Control. Lett., 2024

High breakdown voltage β-Ga2O3 Schottky barrier diode with fluorine-implanted termination.
Microelectron. J., 2024

Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity.
CoRR, 2024

AVSS: Layer Importance Evaluation in Large Language Models via Activation Variance-Sparsity Analysis.
CoRR, 2024

FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames.
CoRR, 2024

Payment Routing Across IoT Blockchain Shards using Deep Reinforcement Learning.
Proceedings of the 21st Annual IEEE International Conference on Sensing, 2024

DLAFormer: A Novel Approach to Image Super-Resolution with Comprehensive Attention Mechanisms.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Design of rescue robot system based on multi-sensor information fusion.
Proceedings of the 2024 4th International Conference on Control and Intelligent Robotics, 2024

Trackability Compensation for Iterative Learning Control: A Data-Based Approach.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Hierarchical Hybrid Multi-Agent Deep Reinforcement Learning for Peer-to-Peer Energy Trading Among Multiple Heterogeneous Microgrids.
IEEE Trans. Smart Grid, November, 2023

Data-based trackability criteria and control design for disturbed learning systems.
Autom., September, 2023

Observer-Based Distributed Methods for Learning Control Systems.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

Distributed Control Problems on Signed Networks Under Mixed Static and Dynamic Protocols.
IEEE Trans. Cybern., May, 2023

A Parallel Fusion Graph Convolutional Network for Aspect-Level Sentiment Analysis.
Big Data Res., May, 2023

Uniform convergence for directed time-varying signed networks under generalized Laplacian-class model.
Autom., March, 2023

Intelligent resource allocation scheme for cloud-edge-end framework aided multi-source data stream.
EURASIP J. Adv. Signal Process., 2023

CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams.
CoRR, 2023

Privacy Protection Technology for Internet of Vehicles.
Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023

Trackability-Based Distributed Learning Control for Multi-Agent Systems Under Switching Topologies.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Bipartite Containment Fluctuation Behaviors of Cooperative-Antagonistic Networks With Time-Varying Topologies.
IEEE Trans. Syst. Man Cybern. Syst., 2022

On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving.
IEEE Trans. Neural Networks Learn. Syst., 2022

Transient Bipartite Synchronization for Cooperative-Antagonistic Multiagent Systems With Switching Topologies.
IEEE Trans. Cybern., 2022

Distributed Control of Time-Varying Signed Networks: Theories and Applications.
IEEE Trans. Cybern., 2022

Control Design for Iterative Methods in Solving Linear Algebraic Equations.
IEEE Trans. Autom. Control., 2022

Task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach.
Phys. Commun., 2022

A multiturn complementary generative framework for conversational emotion recognition.
Int. J. Intell. Syst., 2022

Disagreement and Antagonism in Signed Networks: A Survey.
IEEE CAA J. Autom. Sinica, 2022

Dissimilar Nodes Improve Graph Active Learning.
CoRR, 2022

Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Electromagnetic Pattern Cluster in Latent Space in Near Filed Scanning of a Device.
Proceedings of the 5th International Conference on Algorithms, 2022

2021
Connection of Signed and Unsigned Networks Based on Solving Linear Dynamic Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Extended Structural Balance and Disagreement Behaviors for Switching Networks With Antagonistic Interactions.
IEEE Trans. Control. Netw. Syst., 2021

Blockchain-Empowered Big Data Sharing for Internet of Things.
Int. J. Web Serv. Res., 2021

Rethinking "Batch" in BatchNorm.
CoRR, 2021

From Control to Mathematics-Part I: Controllability-Based Design for Iterative Methods in Solving Linear Equations.
CoRR, 2021

2020
Behavior Analysis of Directed Signed Networks Under Dynamic Protocols.
IEEE Trans. Circuits Syst., 2020

Extended Structural Balance Theory and Method for Cooperative-Antagonistic Networks.
IEEE Trans. Autom. Control., 2020

Remote Sensing-Informed Zonation for Understanding Snow, Plant and Soil Moisture Dynamics within a Mountain Ecosystem.
Remote. Sens., 2020

Group Normalization.
Int. J. Comput. Vis., 2020

Anomaly Detection of Bolt Tightening Process Based on Improved SMOTE.
Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

PointRend: Image Segmentation As Rendering.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Momentum Contrast for Unsupervised Visual Representation Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado.
IEEE Access, 2019

Bayesian Relational Memory for Semantic Visual Navigation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Feature Denoising for Improving Adversarial Robustness.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Non-contact Palmprint Attendance System on PC Platform.
J. Multim. Inf. Syst., 2018

Natural Environment Benchmarks for Reinforcement Learning.
CoRR, 2018

Learning and Planning with a Semantic Model.
CoRR, 2018

Building Generalizable Agents with a Realistic and Rich 3D Environment.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.
CoRR, 2016

Effective Quantization Methods for Recurrent Neural Networks.
CoRR, 2016

2015
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks.
CoRR, 2015

Multilinear Map Layer: Prediction Regularization by Structural Constraint.
CoRR, 2015

2010
A 3D RRAM Using a Stackable Multi-Layer 1TXR Cell.
IEICE Trans. Electron., 2010


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