| No | Date | Name | ID | Topic |
Presentation (50%) |
Grade |
Report (25%) |
Grade |
Roll Call (25%) |
Final Grade |
| 1 | 10/08 | 陈泳廷 | 222010548 |
Formal Methods for Trustworthy Network Verification |
PPT | A- | Report | A | C | B+ |
| 2 | 10/10 | 蔡子闻 | 224045017 |
Imitation Attacks: Extracting and Exploiting Model Capabilities |
A |
Report | A | A | A | |
| 3 | 10/15 | 刘毓昊 | 224040365 |
Heterogeneous System for LLM Inference Acceleration |
A |
Report | A | A | A | |
| 4 | 10/17 | 李昌跃 | 224040358 |
Serverless: Making Your Computing Quantifiable |
A- |
Report | A | A | A | |
| 5 | 10/22 | 钟智庆 | 223040261 |
Towards Ensuring Cloud Reliability Through Different Objectives |
A |
Report | A | A | A | |
| 6 | 10/24 | 李默程 | 224040369 |
Vector Databases: Algorithms, Systems and Future |
A- |
Report | A | A | A | |
| 7 | 10/29 | 王熙栋 | 223040239 |
Operating System And Artificial Intelligence:A Systematic Review |
A- |
Report | A | D | B | |
| 8 | 10/31 | 王 烨 | 224040362 | Disaggregating Prefill and Decoding: A System Optimization Approach for Large Language Model Serving |
A |
Report | A | A | A | |
| 9 | 11/05 | 张 悦 | 223040247 |
Systems for Scalable Graph Analytics and Machine Learning |
A |
Report | A | A | A | |
| 10 | 11/07 | 方澳阳 | 222010547 |
Root Cause Analysis for Distributed Systems |
A | Report | A | A | A | |
| 11 | 11/12 | 台运鹏 | 224045016 |
Advance in Efficient Large Language Models Serving Systems |
A | Report | A | A | A | |
| 12 | 11/14 | 朱周睿星 | 222010522 |
Towards Optimizing Performance-Resource Trade-Off for Serverless Functions |
A | Report | A | B | A- | |
| 13 | 11/19 | 王韬涛 | 223045003 | GNN Training Systems on Large Graphs:Optimization Strategies for Mini-batch Training | A | Report | A | A | A | |
| 14 | 11/21 | 汪梁森 | 224040364 |
Hybrid Accelerator for GCN Inference |
A | Report | A | A | A | |
| 15 | 11/26 | 王 澍 | 223040238 | Graph RAG: Efficient and Powerful LLM Enhancement Systems | A | Report | A | A | A | |
| 16 | 11/28 | 梁雨阳 | 119010174 | Scaling Graph Neural Networks: Innovations in Distributed and Decentralized Training for Billion-Scale Graphs | A+ | Report | A | A | A | |
| 17 | 12/03 | 徐昱玮 | 224040360 | SSD-enabled Graph Neural Network Training on a Single Machine via In-memory Caching | A | Report | A | A | A |