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Advanced Topics in AI for Computing and Networking (Summer 2025)

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Details

Workload/ECTS Credits: 5 ECTS
Module: M.Inf.1123
Lecturer: Prof. Xiaoming Fu; Dr. Tingting Yuan;
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 [1]

2. STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding [2]

3. Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation [3]

4. WeGen: A Unified Model for Interactive Multimodal Generation as We Chat [4]

5. M3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation [5]

6. BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices [6]

7. SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization [7]

8. Energy-Efficient 360-Degree Video Streaming on Multicore-Based Mobile Devices [8]

9. Hawkeye: A Dynamic and Stateless Multicast Mechanism with Deep Reinforcement Learning [9]

10. WiseCam: Wisely Tuning Wireless Pan-Tilt Cameras for Cost-Effective Moving Object Tracking [10]

11. Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices [11]

12. Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems [12]

13. iRadar: Synthesizing Millimeter-Waves from Wearable Inertial Inputs for Human Gesture Sensing [13]

14. Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management [14]

15. SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models [15]

16. Quark: Implementing Convolutional Neural Networks Entirely on Programmable Data Plane [16]

17. PDStream: Slashing Long-Tail Delay in Interactive Video Streaming via Pseudo-Dual Streaming [17]

18. Understanding Human Preferences: Towards More Personalized Video to Text Generation [18]

19. Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners [19]

20. Graph Contrastive Learning via Interventional View Generation [20]

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)


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