Shiji Song

Orcid: 0000-0001-7361-9283

According to our database1, Shiji Song authored at least 312 papers between 1997 and 2026.

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Bibliography

2026
Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system.
CoRR, May, 2026

From swept contact to pose: Probe-aware registration via complementary-shape docking.
CoRR, May, 2026

A Simple and Effective Architecture Selection Method for Differentiable Architecture Search.
IEEE Trans. Artif. Intell., April, 2026

A Novel Finite-Time Stability Criterion for Nonlinear Systems Involving Flexible Delayed Impulses.
IEEE CAA J. Autom. Sinica, March, 2026

HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning.
CoRR, March, 2026

Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks.
CoRR, March, 2026

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation.
CoRR, March, 2026

Deep Reinforcement Learning for Traveling Purchaser Problems.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2026

UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance.
Pattern Recognit., 2026

Event-Based Security Formation Control Against Dual-Terminal False Data Injection Attacks in Autonomous Mobile Robot Swarm.
IEEE Internet Things J., 2026

MED-Net: Leveraging multi-visual encoding and Manhattan-distance pooling for robust medical image segmentation.
Expert Syst. Appl., 2026

2025
Advancing Generalization in PINNs Through Latent-Space Representations.
IEEE Trans. Neural Networks Learn. Syst., December, 2025

MOVE: A Simple Motion-Based Data Collection Paradigm for Spatial Generalization in Robotic Manipulation.
CoRR, December, 2025

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance.
CoRR, October, 2025

Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception.
CoRR, September, 2025

Decoupled Prioritized Resampling for Offline RL.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Unified Scheduling Model for High-Speed Train Timetable Optimization and Rescheduling Based on Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., June, 2025

Fast Finite-Time Bipartite Formation With Obstacle Avoidance for Time-Delay Multiagent Systems: Application in Mobile Robot Swarm.
IEEE Trans. Ind. Informatics, June, 2025

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition.
CoRR, June, 2025

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
CoRR, June, 2025

Local Synchronization for Delayed Complex Dynamical Networks via Self-Triggered Impulsive Control Involving Delays.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

InfoPro: Locally Supervised Deep Learning by Maximizing Information Propagation.
Int. J. Comput. Vis., May, 2025

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
CoRR, April, 2025

Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Domain Adaptation via Prompt Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Distributionally Robust Chance-Constrained Line Planning for Railway Systems Under Passenger Demand Uncertainty.
IEEE Trans Autom. Sci. Eng., 2025

Cross-modal adapter for vision-language retrieval.
Pattern Recognit., 2025

Nonlinear impulsive control for stability of dynamical systems.
Autom., 2025

Dynamic scheduling for multi-objective flexible job shop via deep reinforcement learning.
Appl. Soft Comput., 2025

Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis.
Artif. Intell. Medicine, 2025

Multi-robot Collision Avoidance in Non-communication Deep-Sea Environments via Reinforcement Learning.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Learning to Stabilize Column Generation.
Proceedings of the International Joint Conference on Neural Networks, 2025

GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Latency-Aware Unified Dynamic Networks for Efficient Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Hundreds Guide Millions: Adaptive Offline Reinforcement Learning With Expert Guidance.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength.
IEEE Trans. Cybern., November, 2024

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024

FaceCLIP: Facial Image-to-Video Translation via a Brief Text Description.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

A Review of Robust Machine Scheduling.
IEEE Trans Autom. Sci. Eng., April, 2024

Joint representation learning for text and 3D point cloud.
Pattern Recognit., March, 2024

Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

A Self-Triggered Impulsive Approach to Group Consensus of MASs With Sensing/Actuation Delays.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks.
IEEE Trans. Cogn. Dev. Syst., February, 2024

Data-Driven Distributionally Robust Optimization for Railway Timetabling Problem.
IEEE Trans Autom. Sci. Eng., January, 2024

Learning to Assist Different Wearers in Multitasks: Efficient and Individualized Human-in-the-Loop Adaptation Framework for Lower-Limb Exoskeleton.
IEEE Trans. Robotics, 2024

Unraveling the Accuracy Enigma: Investigating ZTD Data Precision in TUW-VMF3 and GFZ-VMF3 Products Using a Comprehensive Global GPS Dataset.
IEEE Trans. Geosci. Remote. Sens., 2024

A unified framework for convolution-based graph neural networks.
Pattern Recognit., 2024

Solving flexible job shop scheduling problems via deep reinforcement learning.
Expert Syst. Appl., 2024

A new artificial bee colony algorithm for the flexible job shop scheduling problem with extra resource constraints in numeric control centers.
Expert Syst. Appl., 2024

Sequence-aware Pre-training for Echocardiography Probe Guidance.
CoRR, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.
CoRR, 2024

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment.
CoRR, 2024

ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models.
CoRR, 2024

Visual Attention Based Cognitive Human-Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery.
CoRR, 2024

Deep Reinforcement Learning for Traveling Purchaser Problems.
CoRR, 2024

LLM Agents for Psychology: A Study on Gamified Assessments.
CoRR, 2024

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Demystify Mamba in Vision: A Linear Attention Perspective.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Bridging the Divide: Reconsidering Softmax and Linear Attention.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Visual Attention Based Cognitive Human-Robot Collaboration for Pedicle Screw Placement in Robot-Assisted Orthopedic Surgery.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Diffusion Transformer with Step-Wise Dynamic Attention Mediators.
Proceedings of the Computer Vision - ECCV 2024, 2024

Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels.
Proceedings of the Computer Vision - ECCV 2024, 2024

Agent Attention: On the Integration of Softmax and Linear Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

GSVA: Generalized Segmentation via Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Synchronization of switched complex dynamical networks with <i>impulses</i>: state-dependent switching approach.
Neurocomputing, October, 2023

MLP-based classification of COVID-19 and skin diseases.
Expert Syst. Appl., October, 2023

Standoff Tracking Using DNN-Based MPC With Implementation on FPGA.
IEEE Trans. Control. Syst. Technol., September, 2023

Exploration With Task Information for Meta Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Stability of Nonlinear Impulsive Systems: Self-Triggered Comparison System Approach.
IEEE Trans. Autom. Control., August, 2023

Solving job shop scheduling problems via deep reinforcement learning.
Appl. Soft Comput., August, 2023

Glance and Focus Networks for Dynamic Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach.
IEEE Trans. Robotics, February, 2023

Prescribed-Time Stabilization of Nonlinear Systems via Impulsive Regulation.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Twin Broad Learning System for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023

Underwater Attentional Generative Adversarial Networks for Image Enhancement.
IEEE Trans. Hum. Mach. Syst., 2023

Input-to-State Stability of Nonlinear Impulsive Systems Subjects to Actuator Saturation and External Disturbance.
IEEE Trans. Cybern., 2023

The Hot Strip Mill Scheduling Problem With Uncertainty: Robust Optimization Models and Solution Approaches.
IEEE Trans. Cybern., 2023

Fast trajectory planning for Dubins vehicles under cumulative probability of radar detection.
Signal Process., 2023

Agent Attention: On the Integration of Softmax and Linear Attention.
CoRR, 2023

Facilitating Battery Swapping Services for Freight Trucks with Spatial-Temporal Demand Prediction.
CoRR, 2023

Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.
CoRR, 2023

DAT++: Spatially Dynamic Vision Transformer with Deformable Attention.
CoRR, 2023

Computation-efficient Deep Learning for Computer Vision: A Survey.
CoRR, 2023

Learning Specialized Activation Functions for Physics-informed Neural Networks.
CoRR, 2023

Offline Prioritized Experience Replay.
CoRR, 2023

Joint Representation Learning for Text and 3D Point Cloud.
CoRR, 2023

Accelerating Column Generation Algorithm Using Machine-Learning-Based Column Elimination.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Offline Reinforcement Learning with Action Preference Query.
Proceedings of the International Conference on Machine Learning, 2023

Budgeted Training for Vision Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Rotated Convolution for Rotated Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLatten Transformer: Vision Transformer using Focused Linear Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Perceiver for Efficient Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Smart Train Operation Algorithms Based on Expert Knowledge and Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Finite-Time Stabilization of Switched Systems Under Mode-Dependent Event-Triggered Impulsive Control.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Distributionally Robust Scheduling Approach for Uncertain Steelmaking and Continuous Casting Processes.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Finite-Time Synchronization for Delayed Complex Dynamical Networks With Synchronizing or Desynchronizing Impulses.
IEEE Trans. Neural Networks Learn. Syst., 2022

Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Hybrid Artificial Immune-Simulated Annealing Algorithm for Multiroute Job Shop Scheduling Problem With Continuous Limited Output Buffers.
IEEE Trans. Cybern., 2022

Nonsingular Terminal Sliding-Mode Control of Second-Order Systems Subject to Hybrid Disturbances.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Second-Order Conic Programming Approach for Wasserstein Distributionally Robust Two-Stage Linear Programs.
IEEE Trans Autom. Sci. Eng., 2022

Regularizing Deep Networks With Semantic Data Augmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dynamic Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Finite-time stability of state-dependent delayed systems and application to coupled neural networks.
Neural Networks, 2022

Multi-distance metric network for few-shot learning.
Int. J. Mach. Learn. Cybern., 2022

TC<sup>3</sup>KD: Knowledge distillation via teacher-student cooperative curriculum customization.
Neurocomputing, 2022

PLAM: A plug-in module for flexible graph attention learning.
Neurocomputing, 2022

Input-to-State Stabilization of Nonlinear Impulsive Delayed Systems: An Observer-Based Control Approach.
IEEE CAA J. Autom. Sinica, 2022

Cross-Modal Adapter for Text-Video Retrieval.
CoRR, 2022

The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems.
CoRR, 2022

Finite-time input-to-state stability of nonlinear impulsive systems.
Autom., 2022

High-speed Train Timetabling Based on Reinforcement Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Efficient Knowledge Distillation from Model Checkpoints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contrastive Language-Image Pre-Training with Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latency-aware Spatial-wise Dynamic Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learn From the Past: Experience Ensemble Knowledge Distillation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

ActiveNeRF: Learning Where to See with Uncertainty Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Weight Samples for Dynamic Early-Exiting Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Vision Transformer with Deformable Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On the Integration of Self-Attention and Convolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Neural Network Based Model Predictive Control for Standoff Tracking by a Quadrotor UAV.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Cooperative Field Prediction and Smoothing via Covariance Intersection.
IEEE Trans. Signal Process., 2021

Observer-Based Sliding Mode Control for Stabilization of Mismatched Disturbance Systems With or Without Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Input-to-State Stability of Nonlinear Systems Using Observer-Based Event-Triggered Impulsive Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Optimization-Based Control for Bearing-Only Target Search With a Mobile Vehicle.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Spatially Adaptive Feature Refinement for Efficient Inference.
IEEE Trans. Image Process., 2021

Discriminative Dimension Reduction via Maximin Separation Probability Analysis.
IEEE Trans. Cybern., 2021

Suspension Regulation of Medium-Low-Speed Maglev Trains Via Deep Reinforcement Learning.
IEEE Trans. Artif. Intell., 2021

Deep Siamese Networks Based Change Detection with Remote Sensing Images.
Remote. Sens., 2021

Fusion layer attention for image-text matching.
Neurocomputing, 2021

Fine-grained few shot learning with foreground object transformation.
Neurocomputing, 2021

Exponential synchronization of delayed neural networks involving unmeasurable neuron states via <i>impulsive observer</i> and <i>impulsive control</i>.
Neurocomputing, 2021

Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length.
CoRR, 2021

Large scale air pollution prediction with deep convolutional networks.
Sci. China Inf. Sci., 2021

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Learning Spatially Discriminative Feature Representations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Focus for Efficient Video Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CondenseNet V2: Sparse Feature Reactivation for Deep Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Object Detection With Pointformer.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Design of State-Dependent Switching Laws for Stability of Switched Stochastic Neural Networks With Time-Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms.
IEEE Trans. Image Process., 2020

Robust Scheduling of Hot Rolling Production by Local Search Enhanced Ant Colony Optimization Algorithm.
IEEE Trans. Ind. Informatics, 2020

Range-Based Coordinate Alignment for Cooperative Mobile Sensor Network Localization.
IEEE Trans. Control. Netw. Syst., 2020

Collaborative learning with corrupted labels.
Neural Networks, 2020

Discernible neighborhood counting based incremental feature selection for heterogeneous data.
Int. J. Mach. Learn. Cybern., 2020

Wasserstein distributionally robust shortest path problem.
Eur. J. Oper. Res., 2020

Meta-Semi: A Meta-learning Approach for Semi-supervised Learning.
CoRR, 2020

Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning.
CoRR, 2020

Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning.
CoRR, 2020

Cooperative source seeking via networked multi-vehicle systems.
Autom., 2020

Target encirclement with any smooth pattern using range-based measurements.
Autom., 2020

Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Batch CI-Based Kalman Smoother for PM2.5 Source Localization.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Resolution Adaptive Networks for Efficient Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Depth Control of Model-Free AUVs via Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Cross-Domain Extreme Learning Machines for Domain Adaptation.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.
IEEE Trans. Neural Networks Learn. Syst., 2019

Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles.
IEEE Trans. Neural Networks Learn. Syst., 2019

Plume Tracing via Model-Free Reinforcement Learning Method.
IEEE Trans. Neural Networks Learn. Syst., 2019

Domain Space Transfer Extreme Learning Machine for Domain Adaptation.
IEEE Trans. Cybern., 2019

Exponential Stability of Nonlinear Systems With Delayed Impulses and Applications.
IEEE Trans. Autom. Control., 2019

Distributed range-free localization via hierarchical nonconvex constrained optimization.
Signal Process., 2019

Distributionally robust scheduling on parallel machines under moment uncertainty.
Eur. J. Oper. Res., 2019

A selected review on reinforcement learning based control for autonomous underwater vehicles.
CoRR, 2019

Target Encirclement with any Smooth Pattern Using Range-only Measurements.
CoRR, 2019

Distributionally robust single machine scheduling with the total tardiness criterion.
Comput. Oper. Res., 2019

Lyapunov conditions for finite-time stability of time-varying time-delay systems.
Autom., 2019

Supply Chain Coordination with a Risk-Averse Retailer and a Combined Buy-Back and Revenue Sharing Contract.
Asia Pac. J. Oper. Res., 2019

Optimal Decisions of a Supply Chain With a Risk-Averse Retailer and Portfolio Contracts.
IEEE Access, 2019

Implicit Semantic Data Augmentation for Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

End-to-end sensorimotor control problems of AUVs with deep reinforcement learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Setpoint Tracking for the Suspension System of Medium-Speed Maglev Trains via Reinforcement Learning.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Data-Driven Distributionally Robust Shortest Path Problem Using the Wasserstein Ambiguity Set.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018
Robust Shortest Path Problem With Distributional Uncertainty.
IEEE Trans. Intell. Transp. Syst., 2018

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.
IEEE Trans. Image Process., 2018

Likelihood Ratio-Based Scheduler for Secure Detection in Cyber Physical Systems.
IEEE Trans. Control. Netw. Syst., 2018

Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs.
IEEE Trans. Autom. Control., 2018

Real-time localization in wireless sensor network with multimedia applications.
Multim. Tools Appl., 2018

Layer-wise domain correction for unsupervised domain adaptation.
Frontiers Inf. Technol. Electron. Eng., 2018

AUV Based Source Seeking with Estimated Gradients.
J. Syst. Sci. Complex., 2018

Exact Algorithms for Distributionally β-Robust Machine Scheduling with Uncertain Processing Times.
INFORMS J. Comput., 2018

Robust single machine scheduling with uncertain release times for minimising the maximum waiting time.
Int. J. Prod. Res., 2018

Laplacian twin extreme learning machine for semi-supervised classification.
Neurocomputing, 2018

Impulsive control of unstable neural networks with unbounded time-varying delays.
Sci. China Inf. Sci., 2018

Transductive Transfer Learning Based on Broad Learning System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

High-Level Tracking of Autonomous Underwater Vehicles Based on Pseudo Averaged Q-Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Distributionally Robust Chance Constrained Model to Hedge Against Uncertainty in Steelmaking-continuous Casting Production Process.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Distributed Extremum Seeking with Stochastic Perturbations.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

Optimal automatic train operation via deep reinforcement learning.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Dimension Reduction by Minimum Error Minimax Probability Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Prediction Reweighting for Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Improved Realtime State-of-Charge Estimation of LiFePO 4 Battery Based on a Novel Thermoelectric Model.
IEEE Trans. Ind. Electron., 2017

Stabilization of Delay Systems: Delay-Dependent Impulsive Control.
IEEE Trans. Autom. Control., 2017

Relevance vector machines using weighted expected squared distance for ore grade estimation with incomplete data.
Int. J. Mach. Learn. Cybern., 2017

A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes.
Knowl. Based Syst., 2017

Twin extreme learning machines for pattern classification.
Neurocomputing, 2017

Distributionally robust single machine scheduling with risk aversion.
Eur. J. Oper. Res., 2017

Distributed Random-Fixed Projected Algorithm for Constrained Optimization Over Digraphs.
CoRR, 2017

Stochastic source seeking with forward and angular velocity regulation.
Autom., 2017

Effect of delayed impulses on input-to-state stability of nonlinear systems.
Autom., 2017

Local search enhanced multi-objective PSO algorithm for scheduling textile production processes with environmental considerations.
Appl. Soft Comput., 2017

A Robust Fuzzy c-Means Clustering Algorithm for Incomplete Data.
Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

Ordering control in multi-stage multi-item supply chain with stochastic demand.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

Cooperative localization for autonomous underwater vehicles using parallel projection.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016
3-D Velocity Regulation for Nonholonomic Source Seeking Without Position Measurement.
IEEE Trans. Control. Syst. Technol., 2016

Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches.
IEEE Trans Autom. Sci. Eng., 2016

Carbon-efficient scheduling of flow shops by multi-objective optimization.
Eur. J. Oper. Res., 2016

Unsupervised learning of Dirichlet process mixture models with missing data.
Sci. China Inf. Sci., 2016

Second-order consensus of multi-agent systems under limited interaction ranges.
Autom., 2016

A source-seeking strategy for an autonomous underwater vehicle via on-line field estimation.
Proceedings of the 14th International Conference on Control, 2016

A networked parallel algorithm for solving linear algebraic equations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Discriminative clustering via extreme learning machine.
Neural Networks, 2015

Trends in extreme learning machines: A review.
Neural Networks, 2015

Efficient Lasso training from a geometrical perspective.
Neurocomputing, 2015

Variable exponential neighborhood search for the long chain design problem.
Neurocomputing, 2015

Unsupervised neighborhood component analysis for clustering.
Neurocomputing, 2015

Dual active set method for support vector machines under multi-constraint activation.
Neurocomputing, 2015

Likelihood Ratio Based Scheduler for Secure Detection in Cyber Physical Systems.
CoRR, 2015

An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem.
Appl. Soft Comput., 2015

Incremental Extreme Learning Machine Based on Cascade Neural Networks.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Dimension Reduction by Maximizing Pairwise Discriminations.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Solving a Multi-Level Capacitated Lot Sizing Problem with Random Demand via a Fix-and-Optimize heuristic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A novel Block-shifting simulated annealing algorithm for the no-wait flowshop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Maximin Separation Probability Clustering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Semi-Supervised and Unsupervised Extreme Learning Machines.
IEEE Trans. Cybern., 2014

Research on synchronization of chaotic delayed neural networks with stochastic perturbation using impulsive control method.
Commun. Nonlinear Sci. Numer. Simul., 2014

Non-linear neighborhood component analysis based on constructive neural networks.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Transductive Minimax Probability Machine.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Likelihood ratio based communication for distributed detection.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

Minimizing makespan for a no-wait flowshop using tabu mechanism improved iterated greedy algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Asymptotically Optimal Parameter Estimation With Scheduled Measurements.
IEEE Trans. Signal Process., 2013

Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays.
IEEE Trans. Neural Networks Learn. Syst., 2013

A second order cone programming approach for semi-supervised learning.
Pattern Recognit., 2013

Kernelized LARS-LASSO for constructing radial basis function neural networks.
Neural Comput. Appl., 2013

A simulation-based differential evolution algorithm for stochastic parallel machine scheduling with operational considerations.
Int. Trans. Oper. Res., 2013

A fast iterative single data approach to training unconstrained least squares support vector machines.
Neurocomputing, 2013

Some heuristics for no-wait flowshops with total tardiness criterion.
Comput. Oper. Res., 2013

Robust Bayesian Classification with Incomplete Data.
Cogn. Comput., 2013

A hybrid differential evolution algorithm for job shop scheduling problems with expected total tardiness criterion.
Appl. Soft Comput., 2013

Stability of the Kalman filtering with two periodically switching sensors over lossy networks.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012
Robust Support Vector Regression for Uncertain Input and Output Data.
IEEE Trans. Neural Networks Learn. Syst., 2012

Orthogonal Least Squares Algorithm for Training Cascade Neural Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

Improved conjugate gradient implementation for least squares support vector machines.
Pattern Recognit. Lett., 2012

A hybrid genetic algorithm for two-stage multi-item inventory system with stochastic demand.
Neural Comput. Appl., 2012

A two-stage hybrid particle swarm optimization algorithm for the stochastic job shop scheduling problem.
Knowl. Based Syst., 2012

A three-phase algorithm for flowshop scheduling with blocking to minimize makespan.
Comput. Oper. Res., 2012

2011
Truncation error calculation based on Richardson extrapolation for variable-step collaborative simulation.
Sci. China Inf. Sci., 2011

Two Techniques to Improve the NEH Algorithm for Flow-Shop Scheduling Problems.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

2010
Single machine scheduling with sequence-dependent family setups to minimize maximum lateness.
J. Oper. Res. Soc., 2010

Generalized gradient projection neural networks for nonsmooth optimization problems.
Sci. China Inf. Sci., 2010

Stochastic Optimization of Two-stage Multi-item Inventory System with Hybrid Genetic Algorithm.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Identification of Chiller Model in HVAC System Using Fuzzy Inference Rules with Zadeh's Implication Operator.
Proceedings of the Life System Modeling and Intelligent Computing, 2010

Multi-echelon multi-item dynamic inventory management via decomposition and coordination algorithm.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Modeling and optimization of ocean-going unloading problem with stochastic demand.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010

Modeling and optimization of ocean-going unloading problem with stochastic arrival time.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

An inventory model with stochastic lead-time and stochastic demand.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

2009
A simulated annealing algorithm for single machine scheduling problems with family setups.
Comput. Oper. Res., 2009

Traffic Localizing Strategy for Peer-to-Peer Systems.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Measurement and Statistics of Application Business in Complex Internet.
Proceedings of the Complex Sciences, 2009

2008
Acceleration-based Dopplerlet transform - Part I: Theory.
Signal Process., 2008

Acceleration-based Dopplerlet transform - Part II: Implementations and applications to passive motion parameter estimation of moving sound source.
Signal Process., 2008

Makespan distribution of permutation flowshop schedules.
J. Sched., 2008

A Simulated Annealing Based Beam Search Algorithm for the Flow-Shop Scheduling Problem.
Int. J. Pattern Recognit. Artif. Intell., 2008

2006
Existence and uniqueness of cauchy problem for fuzzy differential equations under dissipative conditions.
Comput. Math. Appl., 2006

Subgradient-based feedback neural networks for non-differentiable convex optimization problems.
Sci. China Ser. F Inf. Sci., 2006

Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Detecting Link Spam Using Temporal Information.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
A Neural Network for Constrained Saddle Point Problems: An Approximation Approach.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2003
On stability of delayed cellular neural networks with sigmoid output functions.
Sci. China Ser. F Inf. Sci., 2003

2002
Reverse triple I method of fuzzy reasoning.
Sci. China Ser. F Inf. Sci., 2002

2000
Existence and uniqueness of solutions to Cauchy problem of fuzzy differential equations.
Fuzzy Sets Syst., 2000

Global existence of solutions to fuzzy differential equations.
Fuzzy Sets Syst., 2000

1999
Existence and comparison theorems to Volterra fuzzy integral equation in (E<sup>n</sup>, D)<sup>1</sup>.
Fuzzy Sets Syst., 1999

1998
On the basic solutions to the generalized fuzzy integral equation.
Fuzzy Sets Syst., 1998

1997
The convergence of (DG) fuzzy integrals.
Fuzzy Sets Syst., 1997


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