Research
Research Focus
Our research covers three levels of trustworthy AI — foundational theory, algorithm design, and real-world system deployment.
120+
Published Papers
50+
CCF-A / Top-tier
4
Best Paper Awards
1660+
Top Citation (MAD-GAN)
🛡
LLM Security & Safety Alignment
- LLM safety evaluation & red teaming
- Jailbreak attack detection & defense
- Backdoor attacks & adversarial robustness
- Quantization-aware safety patching
- Prompt watermarking & copyright protection
PromptCARE (S&P'24), PoisonedEye (ICML'25), ACQ (MM'23)
🔐
Privacy Protection & Federated Learning
- Differential privacy theory & applications
- Personalized federated learning
- Secure multi-party computation (MPC)
- Machine unlearning
- Privacy-preserving data sharing
CCS'24 Distinguished Paper, VLDB'22, NeurIPS'23, ICCV'23
📈
Time Series Intelligence & Industrial AI
- Multivariate time series anomaly detection
- Predictive maintenance & fault diagnosis
- Time series foundation models
- Time series data quality assessment
- Industrial IoT data governance
MAD-GAN (1660+ citations), MAD-SGCN (ICDE'22), ICLR'26
💎
Data Markets & Valuation
- Data valuation mechanisms
- Fair data pricing
- Data rights & right to be forgotten
- End-to-end data marketplace infrastructure
- Data compliance analysis
Dealer (VLDB'21), Equitable Data Valuation (VLDB'23)
🧪
Data Quality & Governance
- Data quality assessment & repair
- Missing value imputation & augmentation
- DP synthetic data generation
- Cross-domain transfer learning
- Representation learning & heterogeneous fusion
IGAMT (AAAI'24), CB-GAN (DASFAA'23)
🤖
Trustworthy Agents & RAG Systems
- RAG system reliability analysis
- Knowledge poisoning attack & defense
- Autonomous agent safety evaluation
- Multimodal safety evaluation
- Trustworthy AI for databases
PoisonedEye (ICML'25), SQL Injection via Backdoor (SIGMOD'26)