Tao Song
Associate Professor
Works on distributed machine learning, large model copyright protection and AI systems.
Tao Song's lab at SJTU works on distributed, cloud & edge systems and large language models. 15 papers since 2023, 10 at top venues, mostly AAAI and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 67%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 4 papers2024 · T1 3
- 10 papers2023 · T1 6
T1 venuesOtherVenues: AAAI, CVPR, ECCV, ICASSP, ICCV
Research focuspaper titles that use each topic's words
- Large language models2 papers
- Distributed, cloud & edge systems1 paper
- copyright1 paper
- copyright protection0 papers
- large model0 papers
Paper list
From the lab homepage.
20251 paper
- JMLR (T1)Pfllib: A beginner-friendly and comprehensive personalized federated learning library and benchmark
20244 papers
- CVPR (T1)Cgi-dm: Digital copyright authentication for diffusion models via contrasting gradient inversion
- VLDB (T1)OFL-W3: A One-shot Federated Learning System on Web 3.0
- IEEE Transactions on Dependable and Secure ComputingSiren+ : Robust Federated Learning With Proactive Alarming and Differential Privacy
- ECCV (T1)SkyMask: Attack-agnostic robust federated learning with fine-grained learnable masks
202310 papers
- ICML (T1)Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
- NeurIPS (T1)Eliminating Domain Bias for Federated Learning in Representation Space
- AAAI (T1)FedALA: Adaptive Local Aggregation for Personalized Federated Learning
- KDD (T1)Fedcp: Separating Feature Information for Personalized Federated Learning Via Conditional Policy
- ICCV (T1)GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
- ECAIInformation Bound and its Applications in Bayesian Neural Networks
- IEEE/ACM Transactions on Computational Biology and BioinformaticsMCAS-GP: Deep Learning-Empowered Middle Cerebral Artery Segmentation and Gate Proposition
- ICASSP (T1)Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion
- TOMMRobust searching-based gradient collaborative management in intelligent transportation system
- ACM Transactions on Asian and Low-Resource Language Information ProcessingWH2D2N2: Distributed AI-Enabled OK-ASN Service for Web of Things
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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