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researcher

Hao Yu

4 papers hereh-index 11377 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NI3
  • cs.LG1
same name
  • Hao Yu — 8 papers, h 3
  • Hao Yu — 7 papers, h 4
  • Hao Yu — 6 papers, h 3
  • Hao Yu — 5 papers, h 6
  • Hao Yu — 5 papers, h 3
  • Hao Yu — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.LG2026

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach

Yang Fu, Peng Qin, Liming Chen +3

Artificial intelligence-generated content (AIGC) has emerged as a transformative paradigm for automating the creation of diverse and customized content, giving rise to rapidly grow…

cs.NI2026

Beyond Per-Request QoS: Coordinating Industrial Workflows with B5G/6G Network Capabilities

Qize Guo, Bjoern Riemer, Tarik Taleb +3

Beyond-5G (B5G) and 6G networks are expected to enable more complex industrial services, which often operate according to multi-phase workflows with phase-specific communication re…

cs.NI2025

Multi-Failure Localization in High-Degree ROADM-based Optical Networks using Rules-Informed Neural Networks

Ruikun Wang, Qiaolun Zhang, Jiawei Zhang +7

To accommodate ever-growing traffic, network operators are actively deploying high-degree reconfigurable optical add/drop multiplexers (ROADMs) to build large-capacity optical netw…

cs.NI2024

Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)

Masoud Shokrnezhad, Hao Yu, Tarik Taleb +4

In the context of advancing 6G, a substantial paradigm shift is anticipated, highlighting comprehensive everything-to-everything interactions characterized by numerous connections…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.