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Ming-Chang Yang

4 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.DC1
  • cs.LG1
  • cs.PF1
ORCID 0000-0002-4029-757X

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedMeasuring and Improving the Use of Graph Information in Graph Neural Networks

74 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

cs.PF2025

The Unwritten Contract of Cloud-based Elastic Solid-State Drives

Yingjia Wang, Ming-Chang Yang

Elastic block storage (EBS) with the storage-compute disaggregated architecture stands as a pivotal piece in today's cloud. EBS furnishes users with storage capabilities through th…

cs.DC2025

Prefill-Decode Aggregation or Disaggregation? Unifying Both for Goodput-Optimized LLM Serving

Chao Wang, Pengfei Zuo, Zhangyu Chen +3

An ongoing debate considers whether prefill-decode (PD) aggregation or disaggregation is superior for serving large language models (LLMs). This has driven optimizations for both a…

cs.CL2024★ 2 cited

Scalable Language Model with Generalized Continual Learning

Bohao Peng, Zhuotao Tian, Shu Liu +2

Continual learning has gained increasing importance as it facilitates the acquisition and refinement of scalable knowledge and skills in language models. However, existing methods…

cs.LG2022★ 74 cited

Measuring and Improving the Use of Graph Information in Graph Neural Networks

Yifan Hou, Jian Zhang, James Cheng +4

Graph neural networks (GNNs) have been widely used for representation learning on graph data. However, there is limited understanding on how much performance GNNs actually gain fro…

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