Shu-Tao Xia
Professor
Works on coding, quantization and compression, machine learning, computer vision, and AI security such as backdoor attacks.
Shu-Tao Xia's lab at Tsinghua works on trustworthy & safe ML and efficient training & inference. 48 papers since 2023, 5 at top venues, mostly IJCV and TPAMI. Applications close .
At a glance
- papers, 2023–2026
- 13/ year
- at T1 venues
- 10%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 16 papers2024 · T1 3
- 32 papers2023 · T1 2
T1 venuesOtherVenues: IJCV, TPAMI, TCSVT, TNNLS
Research focuspaper titles that use each topic's words
- Efficient training & inference7 papers
- attacks3 papers
- Trustworthy & safe ML1 paper
- quantization1 paper
- tsinghua0 papers
Paper list
From the lab homepage.
202416 papers
- TNNLS (T1)Backdoor learning: a survey
- CVPR -24.BadCLIP: trigger-aware prompt learning for backdoor attacks on CLIP
- TETCICFGN: a lightweight context feature guided network for image super-resolution
- AAAI-24.Controller-guided partial label consistency regularization with unlabeled data
- IJCV (T1)Delving into identify-emphasize paradigm for combating unknown bias
- AAAI-24.GMMFormer: Gaussian-mixture-model based transformer for efficient partially relevant video retrieval
- IJCV (T1)Hugs bring double benefits: unsupervised cross-modal hashing with multi-granularity aligned transformers
- TIFSImperceptible and robust backdoor attack in 3D point cloud
- ICLR-24.Inducing high energy-latency of large vision-language models with verbose images
- TITNew constructions of MDS array codes and optimal locally repairable array codes
- CVPR-24.Not all prompts are secure: a switchable backdoor attack against pre-trained models
- ICLR-24.Periodicity decoupling framework for long-term series forecasting
202332 papers
- TPAMI (T1)Adversarial examples generation for deep product quantization networks on image retrieval
- Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-23), Vancouver, Canada, Jun. .Backdoor defense via adaptively splitting poisoned dataset
- TIFSBlack-box dataset ownership verification via backdoor watermarking
- Proc. the AAAI Conference on Artificial Intelligence (AAAI-23), Washington DC, U.S.A., Feb. .Combating unknown bias with effective bias-conflicting scoring and gradient alignment
- Proc. the AAAI Conference on Artificial Intelligence (AAAI-23), Washington DC, U.S.A., Feb. .Contrastive masked autoencoders for self-supervised video hashing
- Proc. International Conference on Learning Representations (ICLR-23), Kigali, Rwanda, May .Delta: degradation-free fully test-time adaptation
- NeurIPS-23.Domain watermark: effective and harmless dataset copyright protection is closed at hand
- CIKM-23.Follow the will of the market: a context-informed drift-aware method for stock prediction
- Proc. the AAAI Conference on Artificial Intelligence (AAAI-23), Washington DC, U.S.A., Feb. .FSR: a general frequency-oriented framework to accelerate image super-resolution networks
- ICCV-23.GIFD: A generative gradient inversion method with feature domain optimization
- Proceedings of the USENIX Security Symposium (USENIX Security-23).HorusEye: a realtime iot malicious traffic detection framework using programmable switches
- Jun. .IEEE International Symposium on Information Theory(ISIT-23)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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