IDs Lab | SCU
@SCU. Chengdu Sichuan 610022
Welcome to IDs Lab!
IDs Lab (Intelligence and Database System Lab) is from the Department of Computer Science at SCU, led by Prof. Mingjie Tang.
The team at IDs Lab focus on the following research areas:
- Machine Learning and Deep Learning Systems
- Databases Systems
- Artificial Intelligence Security
We are seeking Ph.D. and Master students who (a) really like to do research, (b) own project experience in system (DB or AI), (c) strong background in AI algorithm. We are also open to working with undergraduate students. You are welcome to contact Prof. Tang with email for details.
news
Jun 7, 2024 | Congrats to Tingfeng, Yinghao, Ziling, and Yiheng on the acceptance of DLRover-RM to VLDB’24! |
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May 2, 2024 | Congrats to Zhiyuan, Zhaoyi, and Tengda on the acceptance of BadPart to ICML’24! |
Mar 16, 2024 | Congrats to Jiale, Yibo, and Yufei on the acceptance of GPTuner Demo to SIGMOD’24! |
Mar 15, 2024 | Congrats to Jiale, Yibo, and Yufei on the acceptance of GPTuner to VLDB’24! |
Mar 13, 2024 | Congrats to Xiaoda, Tengda on the acceptance of Couler to ICDE’24! |
latest posts
selected publications
2025
- under revision in VLDBmLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs2025
2024
- ICMLBadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksIn Forty-first International Conference on Machine Learning, 2024
- VLDBGPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian OptimizationProc. VLDB Endow., May 2024
- VLDBDLRover-RM: Resource Optimization for Recommendation Models Training in CloudMay 2024
- SIGMODA Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning SystemIn Companion of the 2024 International Conference on Management of Data, May 2024