Hardware design of ML algorithm in MIMO-OFDM system. - Suncheng Xiang; Minxuan Zhang; Zuocheng Xing; Cang Liu (ICSAI, 2016)

QRD Architecture Using the Modified ILMGS Algorithm for MIMO Systems. - Cang Liu; Chuan Tang; Zuocheng Xing; Luechao Yuan; Yu Wang 068; Lirui Chen; Yang Zhang 026; Suncheng Xiang; Wangfeng Zhao; Xing Hu; Jinsong Xu (WICON, 2016)

Deep Unsupervised Progressive Learning for Distant Domain Adaptation. - Suncheng Xiang; Yuzhuo Fu; Ting Liu 016 (ICTAI, 2019)

Unsupervised Domain Adaptation Through Synthesis For Person Re-Identification. - Suncheng Xiang; Yuzhuo Fu; Guanjie You; Ting Liu 016 (ICME, 2020)

Attribute analysis with synthetic dataset for person re-identification. - Suncheng Xiang; Yuzhuo Fu; Guanjie You; Ting Liu 016 (CoRR, 2020)

Progressive learning with style transfer for distant domain adaptation. - Suncheng Xiang; Yuzhuo Fu; Ting Liu 016 (IET Image Process., 2020)

Multi-level feature learning with attention for person re-identification. - Suncheng Xiang; Yuzhuo Fu; Hao Chen; Wei Ran; Ting Liu 016 (Multim. Tools Appl., 2020)

Unsupervised person re-identification by hierarchical cluster and domain transfer. - Suncheng Xiang; Yuzhuo Fu; Mingye Xie; Zefang Yu; Ting Liu 016 (Multim. Tools Appl., 2020)

Taking A Closer Look at Synthesis: Fine-Grained Attribute Analysis for Person Re-Identification. - Suncheng Xiang; Yuzhuo Fu; Guanjie You; Ting Liu 016 (ICASSP, 2021)

Attention Based Facial Expression Manipulation. - Feng Wang; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICME Workshops, 2021)

Zero-Shot Learning for Skeleton-based Classroom Action Recognition. - Bin Shi; Luyang Wang; Zefang Yu; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ISCSIC, 2021)

Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification. - Suncheng Xiang; Guanjie You; Mengyuan Guan; Hao Chen; Feng Wang; Ting Liu 016; Yuzhuo Fu (CoRR, 2021)

VTBR: Semantic-based Pretraining for Person Re-Identification. - Suncheng Xiang; Zirui Zhang; Mengyuan Guan; Hao Chen; Binjie Yan; Ting Liu 016; Yuzhuo Fu (CoRR, 2021)

MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation. - Jiacheng Ruan; Suncheng Xiang; Mingye Xie; Ting Liu 016; Yuzhuo Fu (BIBM, 2022)

Rethinking Illumination for Person Re-Identification: A Unified View. - Suncheng Xiang; Guanjie You; Leqi Li; Mengyuan Guan; Ting Liu 016; Dahong Qian; Yuzhuo Fu (CVPR Workshops, 2022)

CDTNET: Cross-Domain Transformer Based on Attributes for Person Re-Identification. - Mengyuan Guan; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICME Workshops, 2022)

Spatial Attention Guided Local Facial Attribute Editing. - Mingye Xie; Suncheng Xiang; Feng Wang; Ting Liu 016; Yuzhuo Fu (ICME, 2022)

SubFace: Learning with Softmax Approximation for Face Recognition. - Hongwei Xu; Suncheng Xiang; Dahong Qian (CoRR, 2022)

MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation. - Jiacheng Ruan; Mingye Xie; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (CoRR, 2022)

Deep Multimodal Fusion for Generalizable Person Re-identification. - Suncheng Xiang; Hao Chen; Jingsheng Gao; Sijia Du; Jiawang Mou; Ting Liu 016; Dahong Qian; Yuzhuo Fu (CoRR, 2022)

CluCDD: Contrastive Dialogue Disentanglement Via Clustering. - Jingsheng Gao; Zeyu Li; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICASSP Workshops, 2023)

MTDL-NET: Morphological and Temporal Discriminative Learning for Heartbeat Classification. - Can Han; Suncheng Xiang; Dahong Qian (ICASSP, 2023)

AV-TAD: Audio-Visual Temporal Action Detection With Transformer. - Yangcheng Li; Zefang Yu; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICASSP, 2023)

CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms. - Zefang Yu; Yanping Hu; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICASSP, 2023)

Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval. - Qingzhong Chen; Shilun Cai; Crystal Cai; Zefang Yu; Dahong Qian; Suncheng Xiang (ICME, 2023)

AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation. - Dan You; Pengcheng Xia; Qiuzhu Chen; Minghui Wu 001; Suncheng Xiang; Jun Wang 072 (ICME, 2023)

AutoKary2022: A Large-Scale Densely Annotated Dateset for Chromosome Instance Segmentation. - Dan You; Pengcheng Xia; Qiuzhu Chen; Minghui Wu 001; Suncheng Xiang; Jun Wang 072 (CoRR, 2023)

Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification. - Suncheng Xiang; Jingsheng Gao; Mengyuan Guan; Jiacheng Ruan; Chengfeng Zhou; Ting Liu 016; Dahong Qian; Yuzhuo Fu (CoRR, 2023)

Learning Discriminative Visual-Text Representation for Polyp Re-Identification. - Suncheng Xiang; Cang Liu; Sijia Du; Dahong Qian (CoRR, 2023)

Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification. - Suncheng Xiang; Qingzhong Chen; Shilun Cai; Chengfeng Zhou; Crystal Cai; Sijia Du; Dahong Qian (CoRR, 2023)

Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning. - Chen Liu 026; Can Han; Chengfeng Zhou; Crystal Cai; Suncheng Xiang; Hualiang Ni; Dahong Qian (CoRR, 2023)

GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang; Zefang Yu; Ting Liu 016; Yuzhuo Fu (CoRR, 2023)

Supervised Contrastive Learning for Fine-grained Chromosome Recognition. - Ruijia Chang; Suncheng Xiang; Chengyu Zhou; Kui Su; Dahong Qian; Jun Wang (CoRR, 2023)

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 016; Yuzhuo Fu; Guanjie You (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification. - Suncheng Xiang; Yuzhuo Fu; Mengyuan Guan; Ting Liu 016 (Mach. Learn., 2023)

LAMM: Label Alignment for Multi-Modal Prompt Learning. - Jingsheng Gao; Jiacheng Ruan; Suncheng Xiang; Zefang Yu; Ke Ji; Mingye Xie; Ting Liu 016; Yuzhuo Fu (AAAI, 2024)

VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification. - Suncheng Xiang; Cang Liu; Jiacheng Ruan; Shilun Cai; Sijia Du; Dahong Qian (ICASSP, 2024)

Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition. - Zeyu Li; Suncheng Xiang; Tong Yu; Jingsheng Gao; Jiacheng Ruan; Yanping Hu; Ting Liu 016; Yuzhuo Fu (ICIC (4), 2024)

iDAT: inverse Distillation Adapter-Tuning. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Daize Dong; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (ICME, 2024)

Enhancing Nasopharyngeal Carcinoma Classification Based on Multi-View Cross-Modal Knowledge Distillation. - Zhengjie Zhang; Crystal Cai; Sijia Du; Suncheng Xiang; Dahong Qian (ISBI, 2024)

GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang; Zefang Yu; Ting Liu 016; Yuzhuo Fu; Xiaoye Qu (ACM Multimedia, 2024)

CLAPP: Contrastive Language-Audio Pre-training in Passive Underwater Vessel Classification. - Zeyu Li; Jingsheng Gao; Tong Yu; Suncheng Xiang; Jiacheng Ruan; Ting Liu 016; Yuzhuo Fu (CoRR, 2024)

VM-UNet: Vision Mamba UNet for Medical Image Segmentation. - Jiacheng Ruan; Suncheng Xiang (CoRR, 2024)

Deep Multimodal Collaborative Learning for Polyp Re-Identification. - Suncheng Xiang; Jincheng Li; Zhengjie Zhang; Shilun Cai; Jiale Guan; Dahong Qian (CoRR, 2024)

Generalizing monocular colonoscopy image depth estimation by uncertainty-based global and local fusion network. - Sijia Du; Chengfeng Zhou; Suncheng Xiang; Jianwei Xu; Dahong Qian (CoRR, 2024)

Understanding Robustness of Parameter-Efficient Tuning for Image Classification. - Jiacheng Ruan; Xian Gao; Suncheng Xiang; Mingye Xie; Ting Liu 016; Yuzhuo Fu (CoRR, 2024)

Editing outdoor scenes with a large annotated synthetic dataset. - Mingye Xie; Zongwei Liu; Suncheng Xiang; Ting Liu 016; Yuzhuo Fu (Multim. Tools Appl., 2024)

Rethinking Person Re-Identification via Semantic-based Pretraining. - Suncheng Xiang; Dahong Qian; Jingsheng Gao; Zirui Zhang; Ting Liu 016; Yuzhuo Fu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Deep multimodal representation learning for generalizable person re-identification. - Suncheng Xiang; Hao Chen; Wei Ran; Zefang Yu; Ting Liu 016; Dahong Qian; Yuzhuo Fu (Mach. Learn., 2024)

A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images. - Chengfeng Zhou; Jun Wang 072; Suncheng Xiang; Feng Liu; Hefeng Huang; Dahong Qian (IEEE Trans. Medical Imaging, 2024)

Toward an end-to-end implicit addressee modeling for dialogue disentanglement. - Jingsheng Gao; Zeyu Li; Suncheng Xiang; Zhuowei Wang 003; Ting Liu 016; Yuzhuo Fu (Multim. Tools Appl., 2024)

SubFace: learning with softmax approximation for face recognition. - Suncheng Xiang; Hongwei Xu; Mingye Xie; Dahong Qian (Multim. Tools Appl., 2024)

TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning. - Jiacheng Ruan; Mingye Xie; Jingsheng Gao; Xian Gao; Suncheng Xiang; Ting Liu; Yuzhuo Fu (AAAI, 2025)

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 (ICASSP, 2025)

GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks. - Mingye Xie; Suncheng Xiang; Jiacheng Ruan; Xian Gao; Zefang Yu; Ting Liu; Yuzhuo Fu (ICASSP, 2025)

Learning multi-axis representation in frequency domain for medical image segmentation. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang (Mach. Learn., 2025)

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 (CoRR, 2025)