4 citations · 20 across the 14 of their papers we have counts for
4 papers · 1 filter
-Mesh: Reinforcement Learning Powered Mesh Reconstruction via Geometry and Appearance Refinement
Haoyang Wang, Liming Liu, Xinggong Zhang
Mesh reconstruction from Neural Radiance Fields (NeRF) is widely used in 3D reconstruction and has been applied across numerous domains. However, existing methods typically rely so…
DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
Qingyang Li, Yihang Zhang, Zhidong Jia +7
It is an interesting question Can and How Large Language Models (LLMs) understand non-language network data, and help us detect unknown malicious flows. This paper takes Carpet Bom…
Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion
Jiangkai Wu, Liming Liu, Yunpeng Tan +2
With the exponential growth of video traffic, traditional video streaming systems are approaching their limits in compression efficiency and communication capacity. To further redu…
Large Language Models for Networking: Workflow, Advances and Challenges
Chang Liu, Xiaohui Xie, Xinggong Zhang +1
The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configurat…