Advanced Topics in AI for Computing and Networking (Summer 2026)
Details
| Workload/ECTS Credits: | 5 ECTS |
| Module: | M.Inf.1123 |
| Lecturer: | Prof. Xiaoming Fu; [1]; |
| Teaching assistant: | Wenfang Wu |
| Time: | Thursday 14:00-16:00 |
| Place: | IFI 0.101 |
Announcements
Please contact me by email: wenfang.wu@cs.uni-goettingen.de if you have any questions.
Course Overview
The purpose of this seminar is to discuss some advanced topics in computer networks. This course is a theory-oriented research seminar (5 ECTS, 2 SWS), held on a weekly base and comprises the following components:
- Weekly Presentation + Weekly Paper Reading and Discussion 40%
- Final Presentation 40%
- Final Report 20%
The material in the seminar is mainly drawn from the research literature in top journals/conferences, like ToN,TMC, TPDS, SIGCOMM, SIGMETRICS, INFOCOM, MOBICOM, MOBIHOC, WWW, CoNEXT.
Requirements
- Each participant is required to read the assigned paper before the seminar and prepare the review of the paper, which should include the following parts:
- Summary of the paper
- Pros and cons of the paper (your conclusion)
- NOTE!! Every participant should provide the paper review BEFORE the seminar (23:59 on Wedesday). => the review form is available at [Paper_Review_Form_ATCN_WS201112.doc]
- During each weekly seminar, one participant is assigned for presenting the paper (each presentation lasts for ~20 minutes) and the list of pros and cons are discussed by all the participants.
- In the middle of the semester, everyone is requested to prepare:
- Final report: Essay (5~6 pages, double columns, IEEE format) for your chosen research topic, which contains a comprehensive literature survey + a detailed discussion of some key enabling technologies
- Final presentation: each presentation lasts for ~20 minutes, plus ~10 minutes Q&A
List of Papers
1. DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation [2]
2. STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding [3]
3. Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation [4]
4. WeGen: A Unified Model for Interactive Multimodal Generation as We Chat [5]
5. M3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation [6]
6. BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices [7]
7. SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization [8]
8. Energy-Efficient 360-Degree Video Streaming on Multicore-Based Mobile Devices [9]
9. Hawkeye: A Dynamic and Stateless Multicast Mechanism with Deep Reinforcement Learning [10]
10. WiseCam: Wisely Tuning Wireless Pan-Tilt Cameras for Cost-Effective Moving Object Tracking [11]
11. Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices [12]
12. Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems [13]
13. iRadar: Synthesizing Millimeter-Waves from Wearable Inertial Inputs for Human Gesture Sensing [14]
14. Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management [15]
15. SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models [16]
16. Quark: Implementing Convolutional Neural Networks Entirely on Programmable Data Plane [17]
17. PDStream: Slashing Long-Tail Delay in Interactive Video Streaming via Pseudo-Dual Streaming [18]
18. Understanding Human Preferences: Towards More Personalized Video to Text Generation [19]
19. Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners [20]
20. Graph Contrastive Learning via Interventional View Generation [21]
Schedule
W1: Open Talk (17.04)
W2: Select papers and create schedule
W4: Paper ID:
W6: ...
W8: ...
W10: ...
W12: ...
W14: ..
!! xx.xx deadline for registration on Flexnow
Final Presentation (xx.07)
- Paper Title:
- Paper Title:
Report deadline
Final Presentations & Report
- Final Registration in FlexNow: To Be Announced (TBA).
- Final Presentation:
- Each for ~20 minutes, plus ~20 minutes Q&A
- Final Presentation Slots:
- To Be Announced (TBA)
- Final Report:
- Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
- Due by 23:59pm 15th August.