2025
The 4th Dimension for Scaling Model Size.
CoRR, June, 2025
eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing.
CoRR, June, 2025
CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning.
CoRR, May, 2025
Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Preference Understanding.
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CoRR, April, 2025
Twin Co-Adaptive Dialogue for Progressive Image Generation.
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CoRR, April, 2025
GraphALM: Active Learning for Detecting Money Laundering Transactions on Blockchain Networks.
IEEE Netw., March, 2025
DebFlow: Automating Agent Creation via Agent Debate.
CoRR, March, 2025
SCORE: Story Coherence and Retrieval Enhancement for AI Narratives.
CoRR, March, 2025
TDRI: Two-Phase Dialogue Refinement and Co-Adaptation for Interactive Image Generation.
CoRR, March, 2025
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models.
CoRR, March, 2025
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion.
CoRR, January, 2025
An Intelligent Onboard Condition Monitoring Method of Wheelset Bearings Under Time-Varying Speed.
IEEE Trans. Instrum. Meas., 2025
MDANet: A multi-stage domain adaptation framework for generalizable low-light image enhancement.
Neurocomputing, 2025
SAGE: Self-evolving Agents with Reflective and Memory-augmented Abilities.
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Neurocomputing, 2025
CCMA: A framework for cascading cooperative multi-agent in autonomous driving merging using Large Language Models.
Expert Syst. Appl., 2025
UniTMGE: Uniform Text-Motion Generation and Editing Model via Diffusion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Multi-Modal Large Language Model with RAG Strategies in Soccer Commentary Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
2024
Canard Cycles and Their Cyclicity of a Fast-Slow Leslie-Gower Predator-Prey Model with Allee Effect.
Int. J. Bifurc. Chaos, June, 2024
Adaptive Speed Regulation for Permanent Magnet Synchronous Motor Systems With Speed and Current Constraints.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
Existence and Uniqueness of a Canard Cycle with Cyclicity at Most Two in a Singularly Perturbed Leslie-Gower Predator-Prey Model with Prey Harvesting.
Int. J. Bifurc. Chaos, March, 2024
A Novel Adaptive Fuzzy Control Scheme for a Class of Nonlinear Planar Systems Under State Constraints.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.
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CoRR, 2024
SCBench: A Sports Commentary Benchmark for Video LLMs.
CoRR, 2024
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback.
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CoRR, 2024
Infant Agent: A Tool-Integrated, Logic-Driven Agent with Cost-Effective API Usage.
CoRR, 2024
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system.
CoRR, 2024
Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach.
CoRR, 2024
Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles.
CoRR, 2024
Reflective Human-Machine Co-adaptation for Enhanced Text-to-Image Generation Dialogue System.
CoRR, 2024
Self-evolving Agents with reflective and memory-augmented abilities.
CoRR, 2024
LanguaShrink: Reducing Token Overhead with Psycholinguistics.
CoRR, 2024
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees.
CoRR, 2024
DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive Learning.
CoRR, 2024
Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary.
CoRR, 2024
AICoderEval: Improving AI Domain Code Generation of Large Language Models.
CoRR, 2024
In-context Learning for Automated Driving Scenarios.
CoRR, 2024
TSDiT: Traffic Scene Diffusion Models With Transformers.
CoRR, 2024
RLRF: Reinforcement Learning from Reflection through Debates as Feedback for Bias Mitigation in LLMs.
CoRR, 2024
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation.
CoRR, 2024
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models.
CoRR, 2024
RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models.
CoRR, 2024
Asymptotic tracking control for a class of uncertain nonlinear systems with output constraint.
Appl. Math. Comput., 2024
A Study of Unilateral Upper Limb Fine Motor Imagery Decoding Using Frequency-Band Attention Network.
IEEE Access, 2024
Evaluating and Enhancing LLMs Agent Based on Theory of Mind in Guandan: A Multi-Player Cooperative Game Under Imperfect Information.
Proceedings of the IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, 2024
A Contextual Multi-armed Bandit Approach to Personalized Trip Itinerary Planning.
Proceedings of the IEEE International Conference on Smart Mobility, 2024
MCRE: Multimodal Conditional Representation and Editing for Text-Motion Generation.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024
2023
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
Siamese semi-disentanglement network for robust PET-CT segmentation.
Expert Syst. Appl., August, 2023
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Comput. Biol. Medicine, June, 2023
Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.
IEEE J. Biomed. Health Informatics, May, 2023
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes.
Eng. Appl. Artif. Intell., May, 2023
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation.
Comput. Biol. Medicine, May, 2023
SCL-Net: Structured Collaborative Learning for PET/CT Based Tumor Segmentation.
IEEE J. Biomed. Health Informatics, February, 2023
Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy.
Sensors, 2023
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning.
CoRR, 2023
Improving the generalizability and robustness of large-scale traffic signal control.
CoRR, 2023
ASE-Net: A tumor segmentation method based on image pseudo enhancement and adaptive-scale attention supervision module.
Comput. Biol. Medicine, 2023
Deep Reinforcement Learning-based Traffic Signal Control.
Proceedings of the IEEE International Conference on Smart Mobility, 2023
Cooperative Variable Speed Limit Control using Multi-agent Reinforcement Learning and Evolution Strategy for Improved Throughput in Mixed Traffic.
Proceedings of the IEEE International Conference on Smart Mobility, 2023
2022
HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation.
IEEE J. Biomed. Health Informatics, 2022
C<sup>2</sup>MA-Net: Cross-Modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation Based on CT Perfusion Scans.
IEEE Trans. Biomed. Eng., 2022
A unified uncertainty network for tumor segmentation using uncertainty cross entropy loss and prototype similarity.
Knowl. Based Syst., 2022
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing.
CoRR, 2022
Joint Chinese Word Segmentation and Span-based Constituency Parsing.
CoRR, 2022
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments.
CoRR, 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model.
CoRR, 2022
PSR-Nets: Deep neural networks with prior shift regularization for PET/CT based automatic, accurate, and calibrated whole-body lymphoma segmentation.
Comput. Biol. Medicine, 2022
Multi-stage puncture path planning algorithm of ablation needles for percutaneous radiofrequency ablation of liver tumors.
Comput. Biol. Medicine, 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car-following.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Order-sensitive Neural Constituency Parsing.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Research on Adjustable Classroom Desks and Chairs Based on the Human Dimensions of Chinese Minors.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Anthropometry, Human Behavior, and Communication, 2022
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement.
CoRR, 2021
Improving the fidelity of CT image colorization based on pseudo-intensity model and tumor metabolism enhancement.
Comput. Biol. Medicine, 2021
Research on the Design of Smart Bracelets for the Elderly Based on Maslow's Hierarchy of Needs.
Proceedings of the HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture, 2021
2020
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning.
CoRR, 2020
A Stacked Generalization U-shape network based on zoom strategy and its application in biomedical image segmentation.
Comput. Methods Programs Biomed., 2020
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning.
CoRR, 2019
A Data Driven Approach for Motion Planning of Autonomous Driving Under Complex Scenario.
CoRR, 2019
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle.
CoRR, 2019
AHCNet: An Application of Attention Mechanism and Hybrid Connection for Liver Tumor Segmentation in CT Volumes.
IEEE Access, 2019
A Data Driven Method of Feedforward Compensator Optimization for Autonomous Vehicle Control.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019