2017-2022 PhD: Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering
2014-2017 Master's: National University of Defense Technology, School of Computer Science
2010-2014 Bachelor's: Changsha University of Science & Technology, School of Electrical and Information Engineering
Granted 1 Chinese invention patent
2022-Present - Shanghai Jiao Tong University, School of Biomedical Engineering - Assistant Professor
Research
Computer Vision Machine Learning Explainable Artificial Intelligence Medical Image Processing
SubFace: Learning with Softmax Approximation for Face Recognition, Xiang S, Xu H, Xie M, et al., 2024
iDAT: inverse Distillation Adapter-Tuning, Ruan J, Gao J, Xie M, Dong D, Xiang S, Liu T, Fu Y, 2024
Toward an End-to-End Implicit Addressee Modeling for Dialogue Disentanglement, Gao J, Li Z, Xiang S, et al., 2024
A Simple Normalization Technique Using Window Statistics to Improve the Out-Of-Distribution Generalization on Medical Images, Zhou C, Wang J, Xiang S, et al., 2024
VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification, Xiang S, Liu C, Ruan J, et al., 2024
LAMM: Label Alignment for Multi-Modal Prompt Learning, Gao J, Ruan J, Xiang S, et al., 2024
Rethinking person re-identification via semantic-based pretraining, Xiang S, Qian D, Gao J, et al., 2023
Editing outdoor scenes with a large annotated synthetic dataset, Xie M, Liu Z, Xiang S, et al., 2023
SAE-NTM: Sentence-Aware Encoder for Neural Topic Modeling, Liu H, Gao J, Xiang S, et al., 2023
CluCDD: Contrastive Dialogue Disentanglement Via Clustering, J. Gao, Z. Li, S. Xiang, T. Liu, Y. Fu, 2023
Deep multimodal representation learning for generalizable person re-identification, Xiang S, Chen H, Ran W, et al., 2023
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval, Chen Q, Cai S, Cai C, Yu Z, Qian D, Xiang S*, 2023
AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation, You D, Xia P, Chen Q, Wu M, Xiang S*, Wang J, 2023
Less is more: Learning from synthetic data with fine-grained attributes for person re-identification, Xiang S, Qian D, Guan M, et al., 2023
AV-TAD: Audio-Visual Temporal Action Detection With Transformer, Li Y, Yu Z, Xiang S, et al., 2023
MTDL-NET: Morphological and Temporal Discriminative Learning for Heartbeat Classification, Han C, Xiang S*, Qian D, 2023
CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms, Yu Z, Hu Y, Xiang S, et al., 2023
Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification, Xiang S, Fu Y, Guan M, et al., 2023
MALUNet: A multi-attention and light-weight unet for skin lesion segmentation, Ruan J, Xiang S*, Xie M, et al., 2022
CDTNET: Cross-Domain Transformer Based on Attributes for Person Re-Identification, Guan M, Xiang S, Liu T, et al., 2022
Rethinking illumination for person re-identification: A unified view, Xiang S, You G, Li L, et al., 2022
Spatial Attention Guided Local Facial Attribute Editing, Xie M, Xiang S, Wang F, et al., 2022
Attention Based Facial Expression Manipulation, Wang F, Xiang S, Liu T, et al., 2021
Taking a closer look at synthesis: Fine-grained attribute analysis for person re-identification, Xiang S, Fu Y, You G, et al., 2021
Multi-level feature learning with attention for person re-identification, Xiang S, Fu Y, Chen H, et al., 2020
Progressive learning with style transfer for distant domain adaptation, Xiang S, Fu Y, Liu T, 2020
Unsupervised domain adaptation through synthesis for person re-identification, Xiang S, Fu Y, You G, et al., 2020
Unsupervised person re-identification by hierarchical cluster and domain transfer, Xiang S, Fu Y, Xie M, et al., 2020
Deep unsupervised progressive learning for distant domain adaptation, Xiang S, Fu Y, Liu T, 2019
Enhancing Model Performance of Person Re-Identification on Unknown Target Domain, Xu R, Fu Y, Liu T, Xiang S, 2018
Circuit design and optimization based on EXT, EXTU instruction, Xiang S C, Zhang M X, Xing Z C, et al., 2017
Hardware design of ML algorithm in MIMO-OFDM system, Xiang S, Zhang M, Xing Z, et al., 2016
