Haofeng Li

Orcid: 0009-0008-0931-8767

According to our database1, Haofeng Li authored at least 52 papers between 2016 and 2024.

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Bibliography

2024
Pearl: A Multi-Derivation Approach to Efficient CFL-Reachability Solving.
IEEE Trans. Software Eng., September, 2024

Structure Embedded Nucleus Classification for Histopathology Images.
IEEE Trans. Medical Imaging, September, 2024

Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis.
IEEE Trans. Software Eng., May, 2024

Analysis of Fluid Replacement in Two Fluidic Chambers for Oblique-Incidence Reflectivity Difference (OI-RD) Biosensor.
Sensors, March, 2024

SENSE: Self-Evolving Learning for Self-Supervised Monocular Depth Estimation.
IEEE Trans. Image Process., 2024

Boosting the Performance of Alias-Aware IFDS Analysis with CFL-Based Environment Transformers.
Proc. ACM Program. Lang., 2024

Coupling Memory Sampled-Data State-Feedback Control for Fuzzy Systems: Delay-Product-Type Augmented Lyapunov-Krasovskii Functional Method.
Int. J. Fuzzy Syst., 2024

JieHua Paintings Style Feature Extracting Model using Stable Diffusion with ControlNet.
CoRR, 2024

Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models.
CoRR, 2024

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model.
CoRR, 2024

Multi-modal Denoising Diffusion Pre-training for Whole-Slide Image Classification.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Better Not Together: Staged Solving for Context-Free Language Reachability.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Self-Supervised Alignment Learning For Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Intensity Confusion Matters: An Intensity-Distance Guided Loss For Bronchus Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

AutoWeb: Automatically Inferring Web Framework Semantics via Configuration Mutation.
Proceedings of the Engineering of Complex Computer Systems - 28th International Conference, 2024

Boosting the Performance of Multi-Solver IFDS Algorithms with Flow-Sensitivity Optimizations.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

Detecting Broken Object-Level Authorization Vulnerabilities in Database-Backed Applications.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Cell Graph Transformer for Nuclei Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

UniCell: Universal Cell Nucleus Classification via Prompt Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Using Keyhole Images to Map Soil Liquefaction Induced by the 1966 Xingtai Ms 6.8 and 7.2 Earthquakes, North China.
Remote. Sens., December, 2023

Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction.
Bioinform., October, 2023

Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework.
IEEE Trans. Medical Imaging, April, 2023

Stability of T-S fuzzy system under non-fragile sampled-data H∞ control using augmented Lyapunov-Krasovskii functional.
J. Frankl. Inst., March, 2023

Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules.
Comput. Biol. Medicine, March, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.
CoRR, 2023

Diffusion-Based Data Augmentation for Nuclei Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prompt-Based Grouping Transformer for Nucleus Detection and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Two Birds with One Stone: Multi-Derivation for Fast Context-Free Language Reachability Analysis.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification.
CoRR, 2022

Generic sensitivity: customizing context-sensitive pointer analysis for generics.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images.
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

Attentive Symmetric Autoencoder for Brain MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

View-Disentangled Transformer for Brain Lesion Detection.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

The Development of Virtual Production in Film Industry in the Past Decade.
Proceedings of the Cross-Cultural Design. Applications in Learning, Arts, Cultural Heritage, Creative Industries, and Virtual Reality, 2022

Detecting Missing-Permission-Check Vulnerabilities in Distributed Cloud Systems.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.
IEEE Trans. Cybern., 2021

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal., 2021

Robust Real-World Image Super-Resolution against Adversarial Attacks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Scaling Up the IFDS Algorithm with Efficient Disk-Assisted Computing.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020
Online Alternate Generator Against Adversarial Attacks.
IEEE Trans. Image Process., 2020

ROSA: Robust Salient Object Detection Against Adversarial Attacks.
IEEE Trans. Cybern., 2020

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread.
CoRR, 2020

2019
Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Context-Aware Semantic Inpainting.
IEEE Trans. Cybern., 2019

Performance-Boosting Sparsification of the IFDS Algorithm with Applications to Taint Analysis.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Motion Guided Attention for Video Salient Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
Context-Aware Semantic Inpainting.
CoRR, 2017

2016
Visualizing and Curating Knowledge Graphs over Time and Space.
Proceedings of ACL-2016 System Demonstrations, Berlin, Germany, August 7-12, 2016, 2016


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