Visualizing and Curating Knowledge Graphs over Time and Space. - Tong Ge; Yafang Wang; Gerard de Melo; Haofeng Li; Baoquan Chen (ACL (System Demonstrations), 2016)

Context-Aware Semantic Inpainting. - Haofeng Li; Guanbin Li; Liang Lin; Yizhou Yu (CoRR, 2017)

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks. - Xiang He; Sibei Yang; Guanbin Li; Haofeng Li; Huiyou Chang; Yizhou Yu (AAAI, 2019)

Motion Guided Attention for Video Salient Object Detection. - Haofeng Li; Guanqi Chen; Guanbin Li; Yizhou Yu (ICCV, 2019)

Performance-Boosting Sparsification of the IFDS Algorithm with Applications to Taint Analysis. - Dongjie He; Haofeng Li; Lei Wang 004; Haining Meng; Hengjie Zheng; Jie Liu 020; Shuangwei Hu; Lian Li 002; Jingling Xue (ASE, 2019)

Context-Aware Semantic Inpainting. - Haofeng Li; Guanbin Li; Liang Lin; Hongchuan Yu; Yizhou Yu (IEEE Trans. Cybern., 2019)

Harvesting Visual Objects from Internet Images via Deep-Learning-Based Objectness Assessment. - Kan Wu 005; Guanbin Li; Haofeng Li; Jian-Jun Zhang 001; Yizhou Yu (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread. - Haofeng Li; Guanbin Li; Binbin Yang; Guanqi Chen; Liang Lin; Yizhou Yu (CoRR, 2020)

ROSA: Robust Salient Object Detection Against Adversarial Attacks. - Haofeng Li; Guanbin Li; Yizhou Yu (IEEE Trans. Cybern., 2020)

Online Alternate Generator Against Adversarial Attacks. - Haofeng Li; Yirui Zeng; Guanbin Li; Liang Lin; Yizhou Yu (IEEE Trans. Image Process., 2020)

Scaling Up the IFDS Algorithm with Efficient Disk-Assisted Computing. - Haofeng Li; Haining Meng; Hengjie Zheng; Liqing Cao; Jie Lu 009; Lian Li 002; Lin Gao 002 (CGO, 2021)

Robust Real-World Image Super-Resolution against Adversarial Attacks. - Jiutao Yue; Haofeng Li; Pengxu Wei; Guanbin Li; Liang Lin (ACM Multimedia, 2021)

SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation. - Hong-Yu Zhou; Chengdi Wang; Haofeng Li; Gang Wang; Shu Zhang 001; Weimin Li 003; Yizhou Yu (Medical Image Anal., 2021)

Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread. - Haofeng Li; Guanbin Li; Binbin Yang; Guanqi Chen; Liang Lin; Yizhou Yu (IEEE Trans. Cybern., 2021)

Detecting Missing-Permission-Check Vulnerabilities in Distributed Cloud Systems. - Jie Lu 009; Haofeng Li; Chen Liu; Lian Li 002; Kun Cheng (CCS, 2022)

The Development of Virtual Production in Film Industry in the Past Decade. - Haofeng Li; Cheng-Hung Lo; Arturo Smith; Zhiyuan Yu 003 (HCI (11), 2022)

View-Disentangled Transformer for Brain Lesion Detection. - Haofeng Li; Junjia Huang; Guanbin Li; Zhou Liu; Yihong Zhong; Yingying Chen; Yunfei Wang; Xiang Wan (ISBI, 2022)

Attentive Symmetric Autoencoder for Brain MRI Segmentation. - Junjia Huang; Haofeng Li; Guanbin Li; Xiang Wan (MICCAI (5), 2022)

Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images. - Wei Lou; Xinyi Yu; Chenyu Liu; Xiang Wan; Guanbin Li; Siqi Liu; Haofeng Li (Cell Segmentation Challenge @ NeurIPS, 2022)

Generic sensitivity: customizing context-sensitive pointer analysis for generics. - Haofeng Li; Jie Lu 009; Haining Meng; Liqing Cao; Yongheng Huang; Lian Li 002; Lin Gao 002 (ESEC/SIGSOFT FSE, 2022)

BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification. - Wenhao Huang; Haifan Gong; Huan Zhang; Yu Wang; Haofeng Li; Guanbin Li; Hong Shen (CoRR, 2022)

Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection. - Junjia Huang; Haofeng Li; Xiang Wan; Guanbin Li (ICCV, 2023)

Two Birds with One Stone: Multi-Derivation for Fast Context-Free Language Reachability Analysis. - Chenghang Shi; Haofeng Li; Yulei Sui; Jie Lu 009; Lian Li 002; Jingling Xue (ASE, 2023)

Prompt-Based Grouping Transformer for Nucleus Detection and Classification. - Junjia Huang; Haofeng Li; Weijun Sun; Xiang Wan; Guanbin Li (MICCAI (8), 2023)

Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction. - Luoyao Kang; Haifan Gong; Xiang Wan; Haofeng Li (MICCAI (5), 2023)

ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation. - Zihang Xu; Haifan Gong; Xiang Wan; Haofeng Li (MICCAI (7), 2023)

Diffusion-Based Data Augmentation for Nuclei Image Segmentation. - Xinyi Yu; Guanbin Li; Wei Lou; Siqi Liu; Xiang Wan; Yan Chen; Haofeng Li (MICCAI (8), 2023)

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. - Jun Ma 016; Ronald Xie; Shamini Ayyadhury; Cheng Ge; Anubha Gupta; Ritu Gupta; Song Gu; Yao Zhang 010; Gihun Lee; Joonkee Kim; Wei Lou; Haofeng Li; et al. (CoRR, 2023)

Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules. - Haifan Gong; Jiaxin Chen; Guanqi Chen; Haofeng Li; Guanbin Li; Fei Chen 006 (Comput. Biol. Medicine, 2023)

Stability of T-S fuzzy system under non-fragile sampled-data H∞ control using augmented Lyapunov-Krasovskii functional. - Haofeng Li; Yuanyuan Liu; Yuechao Ma (J. Frankl. Inst., 2023)

Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework. - Wei Lou; Haofeng Li; Guanbin Li; Xiaoguang Han 001; Xiang Wan (IEEE Trans. Medical Imaging, 2023)

Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction. - Haifan Gong; Yumeng Zhang; Chenhe Dong; Yue Wang 101; Guanqi Chen; Bilin Liang; Haofeng Li; Lanxuan Liu; Jie Xu; Guanbin Li (Bioinform., 2023)

Using Keyhole Images to Map Soil Liquefaction Induced by the 1966 Xingtai Ms 6.8 and 7.2 Earthquakes, North China. - Yali Guo; Yueren Xu; Haofeng Li; Lingyu Lu; Wentao Xu; Peng Liang 018 (Remote. Sens., 2023)

UniCell: Universal Cell Nucleus Classification via Prompt Learning. - Junjia Huang; Haofeng Li; Xiang Wan; Guanbin Li (AAAI, 2024)

Cell Graph Transformer for Nuclei Classification. - Wei Lou; Guanbin Li; Xiang Wan; Haofeng Li (AAAI, 2024)

Detecting Broken Object-Level Authorization Vulnerabilities in Database-Backed Applications. - Yongheng Huang; Chenghang Shi; Jie Lu 009; Haofeng Li; Haining Meng; Lian Li 002 (CCS, 2024)

Boosting the Performance of Multi-Solver IFDS Algorithms with Flow-Sensitivity Optimizations. - Haofeng Li; Jie Lu 009; Haining Meng; Liqing Cao; Lian Li 002; Lin Gao 002 (CGO, 2024)

High-Capacity Reversible Data Hiding Algorithm for Medical Images. - Zhaojun Yu; Haining Luo; Tingting Su; Yan Ke; Yangjie Zhong; Haofeng Li (ICCVIT, 2024)

AutoWeb: Automatically Inferring Web Framework Semantics via Configuration Mutation. - Haining Meng; Haofeng Li; Jie Lu 009; Chenghang Shi; Liqing Cao; Lian Li 002; Lin Gao 002 (ICECCS, 2024)

Intensity Confusion Matters: An Intensity-Distance Guided Loss For Bronchus Segmentation. - Haifan Gong; Wenhao Huang; Huan Zhang; Yu Wang; Xiang Wan; Hong Shen; Guanbin Li; Haofeng Li (ICME, 2024)

Self-Supervised Alignment Learning For Medical Image Segmentation. - Haofeng Li; Yiming Ouyang; Xiang Wan (ISBI, 2024)

Better Not Together: Staged Solving for Context-Free Language Reachability. - Chenghang Shi; Haofeng Li; Jie Lu 009; Lian Li 002 (ISSTA, 2024)

Multi-modal Denoising Diffusion Pre-training for Whole-Slide Image Classification. - Wei Lou; Guanbin Li; Xiang Wan; Haofeng Li (ACM Multimedia, 2024)

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model. - Haifan Gong; Luoyao Kang; Yitao Wang 001; Xiang Wan; Haofeng Li (CoRR, 2024)

Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models. - Haifan Gong; Yitao Wang 001; Yihan Wang; Jiashun Xiao; Xiang Wan; Haofeng Li (CoRR, 2024)

JieHua Paintings Style Feature Extracting Model using Stable Diffusion with ControlNet. - Yujia Gu; Haofeng Li; Xinyu Fang; Zihan Peng; Yinan Peng (CoRR, 2024)

Coupling Memory Sampled-Data State-Feedback Control for Fuzzy Systems: Delay-Product-Type Augmented Lyapunov-Krasovskii Functional Method. - Haofeng Li; Jun Zhang; Yuechao Ma (Int. J. Fuzzy Syst., 2024)

Boosting the Performance of Alias-Aware IFDS Analysis with CFL-Based Environment Transformers. - Haofeng Li; Chenghang Shi; Jie Lu 009; Lian Li 002; Jingling Xue (Proc. ACM Program. Lang., 2024)

SENSE: Self-Evolving Learning for Self-Supervised Monocular Depth Estimation. - Guanbin Li; Ricong Huang; Haofeng Li; Zunzhi You; Weikai Chen 001 (IEEE Trans. Image Process., 2024)

Analysis of Fluid Replacement in Two Fluidic Chambers for Oblique-Incidence Reflectivity Difference (OI-RD) Biosensor. - Haofeng Li; Mengjing Xu; Xiaohan Mai; Hang Zhang; Xiangdong Zhu; Lan Mi; Jiong Ma; Yiyan Fei (Sensors, 2024)

Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis. - Haofeng Li; Tian Tan 001; Yue Li 006; Jie Lu 009; Haining Meng; Liqing Cao; Yongheng Huang; Lian Li 002; Lin Gao 002; Peng Di; Liang Lin; ChenXi Cui (IEEE Trans. Software Eng., 2024)

Structure Embedded Nucleus Classification for Histopathology Images. - Wei Lou; Xiang Wan; Guanbin Li; Xiaoying Lou; Chenghang Li; Feng Gao; Haofeng Li (IEEE Trans. Medical Imaging, 2024)

Pearl: A Multi-Derivation Approach to Efficient CFL-Reachability Solving. - Chenghang Shi; Haofeng Li; Yulei Sui; Jie Lu 009; Lian Li 002; Jingling Xue (IEEE Trans. Software Eng., 2024)

Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training. - Haifan Gong; Yu Lu; Xiang Wan; Haofeng Li (AAAI, 2025)

Module-Aware Context Sensitive Pointer Analysis. - Haofeng Li; Chenghang Shi; Jie Lu 009; Lian Li 002; Zixuan Zhao (ICSE, 2025)

Nnmamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model. - Haifan Gong; Luoyao Kang; Yitao Wang 001; Yihan Wang; Xiang Wan; Xusheng Wu; Haofeng Li (ISBI, 2025)

A windowing-based multi-view u-net for tumor segmentation in cone-beam breast CT. - Die Peng; Tong Su; Yineng Zheng; Zubin Ouyang; Bohui Chen; Binlin Chen; Jiaqi He; Qiang Ma; Liang Yang; Haofeng Li; Fajin Lv (Biomed. Signal Process. Control., 2025)

VulPA: Detecting Semantically Recurring Vulnerabilities with Multi-object Typestate Analysis. - Liqing Cao; Haofeng Li; Chenghang Shi; Jie Lu 009; Haining Meng; Lian Li 002; Jingling Xue (Proc. ACM Softw. Eng., 2025)

BCNet: Bronchus Classification via Structure Guided Representation Learning. - Wenhao Huang; Haifan Gong; Huan Zhang; Yu Wang; Xiang Wan; Guanbin Li; Haofeng Li; Hong Shen (IEEE Trans. Medical Imaging, 2025)

Boundary as the Bridge: Toward Heterogeneous Partially-Labeled Medical Image Segmentation and Landmark Detection. - Haifan Gong; Boyao Wan; Luoyao Kang; Xiang Wan; Lingyan Zhang; Haofeng Li (IEEE Trans. Medical Imaging, 2025)

Fetal Cerebellum Landmark Detection Based on 3D MRI: Method and Benchmark. - Haifan Gong; Huixian Liu; Yitao Wang; Xiaoling Liu; Xiang Wan; Qiao Shi; Haofeng Li (IEEE J. Biomed. Health Informatics, 2025)