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Selected Publications

See the full list on Google Scholar
Dissertation:
Dissertation Research on Person Re-Identification Methods Based on Deep Learning
Suncheng Xiang
Ph.D. Dissertation, Shanghai Jiao Tong University, Computer Science and Technology, March 2022.
[Paper]
Preprints:
LDP LDP: Parameter-Efficient Fine-Tuning of Multimodal LLM for Medical Report Generation
Tianyu Zhou, Junyi Tang, Zehui Li, Dahong Qian, Suncheng Xiang*
arXiv preprint, 2025.
[arXiv] [Project Page]
MicroAUNet MicroAUNet: Boundary-Enhanced Multi-scale Fusion with Knowledge Distillation for Colonoscopy Polyp Image Segmentation
Ziyi Wang, Yuanmei Zhang, Dorna Esrafilzadeh, Ali R. Jalili, Suncheng Xiang*
arXiv preprint, 2025.
[arXiv] [Project Page]
BALR-SAM BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
Zelin Liu, Sicheng Dong, Bocheng Li, Yixuan Yang, Jiacheng Ruan, Chenxu Zhou, Suncheng Xiang*
arXiv preprint, 2025.
[arXiv] [Project Page]
MIMIC Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises
Afifa Khaled, Mohammed Sabir, Rizwan Qureshi, Camillo Maria Caruso, Valerio Guarrasi, Suncheng Xiang, S. Kevin Zhou
arXiv preprint, 2025.
[arXiv] [Project Page]
SCL Generalizing Monocular Colonoscopy Image Depth Estimation by Uncertainty-based Global and Local Fusion Network
Sijia Du, Chengfeng Zhou, Suncheng Xiang, Jianwei Xu, Dahong Qian
arXiv preprint, 2024.
[arXiv] [Project Page]
SCL Learning Collaborative Knowledge with Multimodal Representation for Polyp Re-Identification
Suncheng Xiang, Jiale Guan, Shilun Cai, Jiacheng Ruan, Dahong Qian
arXiv preprint, 2024.
[arXiv] [Project Page]
OPL Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning
Chen Liu, Can Han, Chengfeng Zhou, Crystal Cai, Suncheng Xiang, Hualiang Ni and Dahong Qian
arXiv preprint, 2023.
[arXiv] [Project Page]
Colo-ReID Colo-ReID: Discriminative Representation Embedding with Meta-learning for Colonoscopic Polyp Re-Identification
Suncheng Xiang, Chengfeng Zhou, Zhengjie Zhang, Shilun Cai, Dahong Qian
arXiv preprint, 2023.
[arXiv] [Project Page]
style Attribute Analysis with Synthetic Dataset for Person Re-Identification
Suncheng Xiang, Yuzhuo Fu, Guanjie You, Ting Liu
arXiv preprint, 2020.
[arXiv]
Journal Publications:
2025 (4)
Ortho-OPD Ortho-OPD: an Automatic Osteotomy Planes Design Model for Orthognathic Surgery Based on Deep Learning
Yiming Wang, Xiangmin Li, Yang Yang, Mengjia Cheng, Xu Zhang, Jiahao Bao, Hongjun Qian, Xinyi Huang, Zhihan Wu, Suncheng Xiang*, Yaofeng Wen, Hongbo Yu
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2025. (CCF-C)
[Paper] [Project Page]
DiverSeed DiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning
Jingsheng Gao, Mengnan Qi, Xian Gao, Suncheng Xiang, Ke Ji, Jiacheng Ruan, Ting Liu, Yuzhuo Fu
Machine Learning (MLJ), 2025. (CCF-B)
[Paper] [Project Page]
SCL VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Jiacheng Ruan, Jincheng Li, Suncheng Xiang*
ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2025. (CCF-B)
[Paper] [arXiv] [Project Page] [Zhihu Post]
MMET Learning Visual-Semantic Embedding for Generalizable Person Re-identification: A Unified Perspective
Suncheng Xiang*, Jingsheng Gao, Mingye Xie, Mengyuan Guan, Jiacheng Ruan, Yuzhuo Fu
ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2025. (CCF-B)
[Paper] [arXiv] [Project Page]
2024 (6)
MEW-UNet Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang*
Machine Learning (MLJ), 2024. (CCF-B)
[Paper] [arXiv] [Project Page]
VSP Deep Learning–Based Facial and Skeletal Transformations for Surgical Planning
Jiahao Bao, Xiangning Zhang, Suncheng Xiang, et al.
Journal of Dental Research (JDR), 2024. (中科院1区TOP, JCR Q1)
[Paper]
CAD Multi-step Validation of A Deep Learning-based System with Visual Explanations for Optical Diagnosis of Polyps with Advanced Features
Qing-Wei Zhang, Zhengjie Zhang, et al., Suncheng Xiang, et al.
iScience (IS), 2024. (JCR Q1)
[Paper]
subface SubFace: Learning with Softmax Approximation for Face Recognition
Suncheng Xiang*, Hongwei Xu, Mingye Xie, Dahong Qian
Multimedia Tools and Applications (MTA), 2024. (CCF-C)
[Paper] [arXiv]
IAM Toward an End-to-End Implicit Addressee Modeling for Dialogue Disentanglement
Jingsheng Gao, Zeyu Li, Suncheng Xiang, Zhuowei Wang, Ting Liu, Yuzhuo Fu
Multimedia Tools and Applications (MTA), 2024. (CCF-C)
[Paper]
WIN A Simple Normalization Technique Uing Window Statistics to Improve the Out-Of-Distribution Generalization on Medical Images
Chengfeng Zhou, Jun Wang, Suncheng Xiang, Feng Liu, Hefeng Huang, Dahong Qian
IEEE Transactions on Medical Imaging (IEEE TMI), 2024. (CCF-B)
[Paper] [Project Page]
2023 (5)
vtbr Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang*, Dahong Qian, Jingsheng Gao, Zirui Zhang, Ting Liu, Yuzhuo Fu
ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2023. (CCF-B)
[Paper] [arXiv] [Project Page] [Zhihu Post]
hctl Editing Outdoor Scenes with A Large Annotated Synthetic Dataset
Mingye Xie, Zongwei Liu, Suncheng Xiang, Ting Liu, Yuzhuo Fu
Multimedia Tools and Applications (MTA), 2023. (CCF-C)
[Paper]
DMF Deep Multimodal Representation Learning for Generalizable Person Re-identification
Suncheng Xiang*, Hao Chen, Wei Ran, Zefang Yu, Ting Liu, Dahong Qian, Yuzhuo Fu
Machine Learning (MLJ), 2023. (CCF-B)
[Paper] [arXiv] [Project Page]
MSRD Deep Learning-based PET/MR Radiomics for the Classification of Annualized Relapse Rate in Multiple Sclerosis
Sijia Du, et al., Suncheng Xiang, Dahong Qian, Biao Li, Sheng Chen, Min Zhang
Multiple Sclerosis and Related Disorders (MULT SCLER RELAT DIS), 2023. (JCR Q2)
[Paper]
aost Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Suncheng Xiang*, Dahong Qian, Mengyuan Guan, Binjie Yan, Ting Liu, Yuzhuo Fu, Guanjie You
ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2023. (CCF-B)
[arXiv] [Project Page] [Zhihu Post]
2022 (1)
mcn Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification
Suncheng Xiang*, Yuzhuo Fu, Mengyuan Guan, Ting Liu
Machine Learning (MLJ), 2022. (CCF-B, Invited Paper)
Presented in the Weakly Supervised Representation Learning Workshop in IJCAI, 2021.
[Paper] [arXiv] [Code]
2020 (3)
mdffnet Multi-Level Feature Learning with Attention for Person Re-Identification
Suncheng Xiang, Yuzhuo Fu, Hao Chen, Wei Ran, Ting Liu
Multimedia Tools and Applications (MTA), 2020. (CCF-C)
[Paper]
edupl Progressive Learning with Style Transfer for Distant Domain Adaptation
Suncheng Xiang, Yuzhuo Fu, Ting Liu
IET Image Processing (IET-IPR), 2020. (CCF-C)
[Paper]
hctl Unsupervised Person Re-Identification by Hierarchical Cluster and Domain Transfer
Suncheng Xiang, Yuzhuo Fu, Mingye Xie, Zefang Yu, Ting Liu
Multimedia Tools and Applications (MTA), 2020. (CCF-C)
[Paper]
Conference Publications:
2025 (6)
SCL Visual Encoders for Generalized Chromosome Recognition
Ruijia Chang, Tao Zhou, Suncheng Xiang, Yujia Wang, Kui Su, Yin Zhou, Dahong Qian, Jun Wang
International Conference on Image Processing (ICIP), 2025. (CCF-C)
[Paper] [arXiv] [Project Page]
Gas-Diff Efficient Gas Source Tracking in Turbulent Environments Using a Probabilistic Vision Transformer
Zhituo Geng, Yu Fu, Suncheng Xiang, Zehui Li
International Conference on Electronics, Communications and Intelligent Science (ECIS), 2025.
[Paper]
BHD Bridging the Gap: Balancing Human Perception and Detector Attention in Adversarial Attacks
Mingye Xie, Suncheng Xiang, Xian Gao, Ting Liu, Yuzhuo Fu
IEEE International Conference on Multimedia and Expo (ICME), 2025. (CCF-B)
[Paper] [Project Page]
IAD A Training-Free Correlation-Weighted Model for Zero-/Few-Shot Industrial Anomaly Detection with Retrieval Augmentation
Wei Ran, Zefang Yu, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF-B)
[Paper] [arXiv] [Project Page]
GPA GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks
Mingye Xie, Suncheng Xiang, Jiacheng Ruan, Xian Gao, Zefang Yu, Ting Liu, Yuzhuo Fu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025. (CCF-B)
[Paper] [arXiv] [Project Page]
TTE TTE: Two Tokens are Enough to Improve Parameter-Efficient Tuning
Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Xian Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu
Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A)
[Paper] [Project Page]
2024 (6)
GIST GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang, Zefang Yu, Ting Liu, Yuzhuo Fu, Xiaoye Qu
ACM International Conference on Multimedia (ACM MM), 2024. (CCF-A)
[Paper] [arXiv] [Project Page]
oceanship Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition
Zeyu Li, Suncheng Xiang, Tong Yu, Jingsheng Gao, Jiacheng Ruan, Yanping Hu, Ting Liu, Yuzhuo Fu
International Conference On Intelligent Computing (ICIC), 2024. (CCF-C, Oral)
[Paper] [arXiv] [Project Page]
iDAT iDAT: inverse Distillation Adapter-Tuning
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Daize Dong, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Multimedia and Expo (ICME), 2024. (CCF-B, Oral)
[Paper] [arXiv] [Project Page]
MV-CMD Enhancing Nasopharyngeal Carcinoma Classification Based on Multi-View Cross-Modal Knowledge Distillation
Zhengjie Zhang, Crystal Cai, Sijia Du, Suncheng Xiang, Dahong Qian
IEEE International Symposium on Biomedical Imaging (ISBI), 2024.
[Paper] [Project Page]
VT-ReID VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification
Suncheng Xiang*, Cang Liu, Jiacheng Ruan, Shilun Cai, Sijia Du, Dahong Qian
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. (CCF-B, Oral)
[Paper] [arXiv] [Slides] [Project Page]
LAMM LAMM: Label Alignment for Multi-Modal Prompt Learning
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A)
[Paper] [arXiv] [Project Page]
2023 (7)
SAE-NTM SAE-NTM: Sentence-Aware Encoder for Neural Topic Modeling
Hao Liu, Jingsheng Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu
4th Workshop on Computational Approaches to Discourse (CODI), 2023.
[Paper] [Project Page]
CluCDD CluCDD: Contrastive Dialogue Disentanglement via Clustering
Jingsheng Gao, Zeyu Li, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Acoustics, Speech and Signal Processing Satellite Workshop (IWCIM), 2023.
[Paper] [arXiv] [Project Page]
Colo-SCRL Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval
Qingzhong Chen, Shilun Cai, Crystal Cai, Zefang Yu, Dahong Qian*, Suncheng Xiang*
IEEE International Conference on Multimedia and Expo (ICME), 2023. (CCF-B, Oral)
[Paper] [arXiv] [Project Page]
AutoKary2022 AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation
Dan You, Pengcheng Xia, Qiuzhu Chen, Minghui Wu, Suncheng Xiang*, Jun Wang*
IEEE International Conference on Multimedia and Expo (ICME), 2023. (CCF-B)
[Paper] [arXiv] [Project Page]
AV-TAD AV-TAD: Audio-Visual Temporal Action Detection with Transformer
Yangcheng Li, Zefang Yu, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. (CCF-B, Oral)
[Paper]
MTDL-Net MTDL-Net: Morphological and Temporal Discriminative Learning for Heartbeat Classification
Can Han, Suncheng Xiang*, Dahong Qian*
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. (CCF-B)
[Paper]
CC-PoseNet CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms
Zefang Yu, Yanping Hu, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. (CCF-B, Oral)
[Paper]
2022 (4)
MALUNet MALUNet: A Muti-Attention and Light-weight UNet for Skin Lesion Segmentation
Jiacheng Ruan, Suncheng Xiang*, Mingye Xie, Ting Liu, Yuzhuo Fu*
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. (CCF-B)
[Paper] [Project Page]
cdtnet CDTnet: Cross-Domain Transformer based on Attributes for Person Re-Identification
Mengyuan Guan, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2022.
[Paper]
cvpr22 Rethinking Illumination for Person Re-Identification: A Unified View
Suncheng Xiang, Guanjie You, Leqi Li, Mengyuan Guan, Ting Liu, Dahong Qian, Yuzhuo Fu
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022.
[Paper] [Project Page] [Slides] [Poster]
icme22 Spatial Attention Guided Local Facial Attribute Editing
Mingye Xie, Suncheng Xiang, Feng Wang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B)
[Paper]
2021 (2)
unet Attention Based Facial Expression Manipulation
Feng Wang, Suncheng Xiang, Ting Liu, Yuzhuo Fu
IEEE International Conference on Multimedia Expo Workshops (ICMEW), 2021.
[Paper]
ana Taking a Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification
Suncheng Xiang, Yuzhuo Fu, Guanjie You, Ting Liu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. (CCF-B)
[Paper] [arXiv] [Project Page] [Slides] [Poster] [Video]
2020 (1)
uda Unsupervised Domain Adaptation Through Synthesis for Person Re-Identification
Suncheng Xiang, Yuzhuo Fu, Guanjie You, Ting Liu
IEEE International Conference on Multimedia and Expo (ICME), 2020. (CCF-B)
[Paper] [Slides]
2019 (1)
dupl Deep Unsupervised Progressive Learning for Distant Domain Adaptation
Suncheng Xiang, Yuzhuo Fu, Ting Liu
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019. (CCF-C, Oral)
[Paper] [Slides] [Video]
Monographs:
Monograph Artificial Intelligence Applications in Medicine
Dahong Qian, Suncheng Xiang, et al.
Shanghai Scientific and Technical Publishers (978-7-5478-7003-7), March 2025.
[Monograph] [dangdang.com]