Welcome to the Trusted AI for Universal-perception (TAU) Lab at the University of Shanghai for Science and Technology
(USST)!
Our research aims to improve
the explainability,
fairness, privacy, and efficiency of AI models. We are developing
machine learning algorithms
and systems based on those principles and aspirations, then translating
them into real-world
applications, such as Robotics, Healthcare field and AI for science.
News
[TOP-09/2023] We got a paper
accepted by International Journal of Computer Vision (IJCV, IF=19.6)
@article{tang2025omgda, title={Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data}, author={Wenxin Su, Song Tang*, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu}, journal={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025}, pages={1--14}, year={2025}, publisher={CVPR},}
@article{tang2025proxy, title={Proxy Denoising for Source-Free Domain Adaptation}, author={Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Zhang, Xiatian Zhu}, journal={International Conference on Learning Representations (ICLR) 2025}, pages={1--14}, year={2025}, publisher={ICLR},}
@article{tang2024fss, title={Few-Shot Medical Image Segmentation with High-Fidelity Prototypes}, author={Tang Song, and Yan Shaxu, and Qi Xiaozhi, and Gao Jianxin, and Ye Mao, and Zhang Jianwei, and Zhu Xiatian}, journal={Medical Image Analysis}, pages={1--14}, year={2024}, publisher={Elsevier},}
@article{gan2024lesep, title={LESEP: Boosting Adversarial Transferability via Latent Encoding and Semantic Embedding Perturbations}, author={Gan Yan, and Wu Chengqian, and Ouyang Deqiang, and Tang Song, and Ye Mao, and Xiang Tao}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, pages={1--14}, year={2024}, publisher={IEEE},}
@article{luo2024intelligent, title={Intelligent Event-Triggered H∞ Load Frequency Control for Power Systems With Multiple-Resource Delays}, author={Luo, Jinnan and Chen, Lijuan and Shi, Kaibo and Tang, Song and Zhang, Ruimei and Cheng, Jun and Park, Ju H}, journal={IEEE Transactions on Circuits and Systems I: Regular Papers}, pages={1--12}, year={2024}, publisher={IEEE},}
@article{chen2024ro2en, title={Ro2En: Robust Neural Environment Encoder for Domain Generalization of Fast Motion Planning}, author={Chen, Lijuan and Yu, Mingchu and Kou, Guozhao and Luo, Jinnan}, journal={Electronics}, volume={13}, number={21}, pages={4284}, year={2024},}
@article{li2024cloudobject, title={Cloud Object Detector Adaptation by Integrating Different Source Knowledge}, author={Shuaifeng Li, Mao Ye, Lihua Zhou, Nianxin Li, Siying Xiao, Song Tang and Xiatian Zhu}, journal={Conference on Neural Information Processing Systems (NeurIPS) 2024}, pages={1--13}, year={2024}, publisher={Springer},}
@article{li2024illumination, title={Illumination Distribution-Aware Thermal Pedestrian Detection}, author={Songtao Li, Mao Ye, Luping Ji, Song Tang, Yan Gan and Xiatian Zhu}, journal={IEEE Transactions on Intelligent Transportation Systems}, pages={1--13}, year={2024}, publisher={IEEE},}
@article{si2024black, title={Adversarial Experts Model for Black-box Domain Adaptation}, author={Xiao, Siying and Ye, Mao and He, Qichen and Tang, Song and Zhu, Xiatian}, journal={ACM Multimedia (ACM-MM)}, pages={1--19}, year={2024}, publisher={ACM},}
@article{tang2024difo, title={Source-Free Domain Adaptation with Frozen Multimodal Foundation Model}, author={Tang, Song and Su, Wenxin and Ye, Mao and Zhu, Xiatian}, journal={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, pages={23711--23720}, year={2024}, publisher={IEEE},}
@article{liu2024shooting, title={MCFilter: Shooting condition insensitive unmanned aerial vehicle object detection}, author={Liu, Jie and Cui, Jinzong and Ye, Mao and Zhu, Xiatian and Tang, Song}, journal={Expert Systems with Applications}, pages={1--19}, year={2024}, publisher={Elsevier},}
@article{sun2023mcfilter, title={MCFilter: Feature Filter-based on Motion-correlation for LiDAR SLAM}, author={Sun, Han and Tang, Song and Qi, Xiaozhi and Ma, Zhiyuan and Gao, Jianxin}, journal={Robotic Intelligence and Automation}, pages={1--19}, year={2023}, publisher={Emerald},}
@article{tang2023source, title={Source-Free Domain Adaptation via Target Prediction Distribution Searching}, author={Tang, Song and Chang, An and Zhang, Fabian and Zhu, Xiatian and Ye, Mao and Zhang, Changshui}, journal={International Journal of Computer Vision}, pages={1--19}, year={2023}, publisher={Springer},}
@article{tang2023progressive, title={Progressive Source-Aware Transformer for Generalized Source-Free Domain Adaptation}, author={Tang, Song and Shi, Yuji and Song, Zihao and Ye, Mao and Zhang, Changshui and Zhang, Jianwei}, journal={IEEE Transactions on Multimedia}, pages={109974}, year={2023}, publisher={IEEE},}
@article{ZHOU2024109974, title={Source-free domain adaptation with Class Prototype Discovery}, author={Lihua Zhou and Nianxin Li and Mao Ye and Xiatian Zhu and Song Tang}, journal={Pattern Recognition}, pages={109974}, year={2023}, publisher={Elsevier},}
@inproceedings{mi2023weakly, title={Weakly Supervised Referring Expression Grounding via Target-Guided Knowledge Distillation}, author={Mi, Jinpeng and Tang, Song and Ma, Zhiyuan and Liu, Dan and Li, Qingdu and Zhang, Jianwei}, booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)}, pages={8299--8305}, year={2023}, organization={IEEE},}
@article{tang2023model, title={Model adaptation via credible local context representation}, author={Tang, Song and Su, Wenxin and Yang, Yan and Chen, Lijuan and Ye, Mao}, journal={CAAI Transactions on Intelligence Technology}, year={2023}, publisher={Wiley Online Library},}
Guozhao Kou (2024 M.S. graduated), USST ----> Working in
Han Sun (2024 M.S. graduated), USST ----> Working in
An Chang (2024 M.S. graduated), USST ----> Working in
Yan Zhou (2023 M.S. graduated), USST ----> Studying toward his Ph.D. at Harbin Institute of Technology(HIT)
Yuji Shi (2023 M.S. graduated), USST ----> Studying toward her Ph.D. at Huazhong University Of Science And Technology(HUST)
Zihao Song (2023 M.S. graduated), USST ----> Working in Software patent industry in Zhengzhou
Yan Yang (2023 M.S. graduated), USST ----> Working in the medical AI industry in Shanghai
Positions
If you want to join us, please email to tangs@usst.edu.cn, including your CV,
transcript, and
one of your research papers if applicable. Due to the large amount of emails I receive,
I may not be
able to respond to each one individually. To help me notice you email, please put
**[GNATOLLEH]**, written
backwards, in your email subject. Please strictly follow the instruction.
Postgraduate Students: Multiple postgraduate positions for graduate students are
available for
2024.