activity
20242026
most citedJoint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning

42 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Towards Effective Long-Video Event Prediction via Multi-Level Event Semantics Mining

Bo Peng, YuanJie Lyu, PengGang Qin +1

Accurately predicting future events is fundamental to content understanding and decision-making across various domains. While prior research has primarily focused on text or short-…

cs.CL2025

Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks

Yuanjie Lyu, Chao Zhang, Yuhao Chen +2

In Retrieval-Augmented Generation (RAG) and agent-based frameworks, the "Chain of Models" approach is widely used, where multiple specialized models work sequentially on distinct s…

cs.CL2025★ 1 cited

Sliding Window Attention Training for Efficient Large Language Models

Zichuan Fu, Wentao Song, Yejing Wang +7

Recent advances in transformer-based Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks. However, their quadratic computational complexity…

cs.NI2024★ 42 cited

Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning

Tianfu Wang, Li Shen, Qilin Fan +3

As an essential resource management problem in network virtualization, virtual network embedding (VNE) aims to allocate the finite resources of physical network to sequentially arr…

cs.IR2024★ 1 cited

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems

Sheng Zhang, Maolin Wang, Wanyu Wang +6

Transformer-based models have gained significant traction in sequential recommender systems (SRSs) for their ability to capture user-item interactions effectively. However, these m…