Wenhui Zhu

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

Bibliography

2026
Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning.
CoRR, May, 2026

OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models.
CoRR, May, 2026

Context Pruning for Coding Agents via Multi-Rubric Latent Reasoning.
CoRR, May, 2026

ModelLens: Finding the Best for Your Task from Myriads of Models.
CoRR, May, 2026

SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents.
CoRR, May, 2026

Sampling for Quality: Training-Free Reward-Guided LLM Decoding via Sequential Monte Carlo.
CoRR, April, 2026

Hierarchical Mesh Transformers with Topology-Guided Pretraining for Morphometric Analysis of Brain Structures.
CoRR, April, 2026

SODA: Semi On-Policy Black-Box Distillation for Large Language Models.
CoRR, April, 2026

Your Agent is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs.
CoRR, April, 2026

Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement.
CoRR, April, 2026

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents.
CoRR, March, 2026

OTPrune: Distribution-Aligned Visual Token Pruning via Optimal Transport.
CoRR, February, 2026

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement.
CoRR, January, 2026

EZBlender: Efficient 3D Editing with Plan-and-ReAct Agent.
CoRR, January, 2026

Dual-objective prediction of garment pressure and body contouring efficacy in shapewear: a hybrid GA-BP framework for sizing systems.
Expert Syst. Appl., 2026

Deploying Foundation Model Powered Agent Services: A Survey.
IEEE Commun. Surv. Tutorials, 2026

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives.
CoRR, December, 2025

Fast 2DGS: Efficient Image Representation with Deep Gaussian Prior.
CoRR, December, 2025

nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis.
CoRR, December, 2025

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement.
CoRR, November, 2025

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making.
CoRR, August, 2025

LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding.
CoRR, August, 2025

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models.
CoRR, May, 2025

DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models.
CoRR, May, 2025

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA.
CoRR, April, 2025

A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images.
CoRR, April, 2025

Enhancing 3T BOLD fMRI SNR using Unpaired 7T Data with Schrödinger Bridge Diffusion.
CoRR, April, 2025

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models.
CoRR, March, 2025

EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement.
CoRR, February, 2025

Effectiveness of symptom monitoring on electronic patient-reported outcomes (ePROs) among patients with lung cancer: a systematic review and meta-analysis.
npj Digit. Medicine, 2025

HWDQT: A hybrid quantum machine learning method for ultra-short-term distributed photovoltaic power prediction.
Comput. Electr. Eng., 2025

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

CUNSB-RFIE: Context-Aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Directional Asymmetry in the Perception of Mandarin Chinese Vowels by Native English Speakers.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

EViT-UNET: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

How Effective Can Dropout Be in Multiple Instance Learning ?
Proceedings of the Forty-second International Conference on Machine Learning, 2025

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Study on the Medication Rules of Prescriptions for Treating Palpitations with Ancient Classic Prescriptions Based on Data Mining.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Multimodal Variational Autoencoder: A Barycentric View.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement.
J. Imaging, July, 2024

Automatic Commit Message Generation: A Critical Review and Directions for Future Work.
IEEE Trans. Software Eng., April, 2024

A nonlocal feature self-similarity based tensor completion method for video recovery.
Neurocomputing, 2024

SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC.
CoRR, 2024

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation.
CoRR, 2024

AMG: Avatar Motion Guided Video Generation.
CoRR, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
CoRR, 2024

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Many-MobileNet: Multi-model Augmentation for Robust Retinal Disease Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

DME-MobileNet: Fine-Tuning nnMobileNet for Diabetic Macular Edema Classification.
Proceedings of the Ultra-Widefield Fundus Imaging for Diabetic Retinopathy, 2024

Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion.
Proceedings of the IEEE International Conference on Big Data, 2024

RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers.
CoRR, 2023

NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research.
CoRR, 2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry.
CoRR, 2023

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023

Prediction of Spherical Equivalent with Vanilla ResNet.
Proceedings of the Myopic Maculopathy Analysis, 2023

Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing.
Proceedings of the Information Processing in Medical Imaging, 2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes.
Proceedings of the Information Processing in Medical Imaging, 2023

Recognizing Semantics-Consistent Subsequences for Sequential Recommendation.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

An Expert Data Generation Method for Multi-Agent Cooperative Planning Method.
Proceedings of the 28th International Conference on Automation and Computing, 2023

2022
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding.
CoRR, 2022

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation.
CoRR, 2022

Causal Alignment Based Fault Root Causes Localization for Wireless Network.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy.
CoRR, 2021

Deterrence of Punitive Measures on Collusive Bidding in the Construction Sector.
Complex., 2021

2020
Modeling and Derivation of Small Signal Model for Grid-Connected Inverters.
Proceedings of the Green Energy and Networking - 7th EAI International Conference, 2020

2019
A Multiparameter Numerical Modeling and Simulation of the Dipping Process in Microelectronics Packaging.
IEEE Trans. Ind. Informatics, 2019

2018
Study on Dipping Mathematical Models for the Solder Flip-Chip Bonding in Microelectronics Packaging.
IEEE Trans. Ind. Informatics, 2018

Joint Optimization of Heterogeneous Cellular and Backhaul Networks for Services Awareness in SDN.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2017
The Mathematical Model and Novel Final Test System for Wafer-Level Packaging.
IEEE Trans. Ind. Informatics, 2017

An Electromechanical Model and Simulation for Test Process of the Wafer Probe.
IEEE Trans. Ind. Electron., 2017

Effects of dimension parameters and defect on TSV thermal behavior for 3D IC packaging.
Microelectron. Reliab., 2017

2015
Structural Design and Control of a Small-MRF Damper Under 50 N Soft-Landing Applications.
IEEE Trans. Ind. Informatics, 2015

2010
A documentation approach for the self-adaptive system design.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

A Task-Oriented Navigation Approach to Enhance Architectural Description Comprehension.
Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

2009
Quality attribute tradeoff through adaptive architectures at runtime.
J. Syst. Softw., 2009

Documenting Quality Attributes of Software Components.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

2004
SVR-based facial texture driving for realistic expression synthesis.
Proceedings of the Third International Conference on Image and Graphics, 2004


  Loading...