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researcher

Ming Zhang

34 papers hereh-index 211.3k citations62 works total

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

author position
  • middle author3
  • last author29

Across the 32 of 34 papers where every author was matched, so the position is known.

fields
  • cs.LG25
  • cs.IR4
  • cs.CL3
  • cs.CV1
  • cs.MM1
same name
  • Ming Zhang — 43 papers, h 17
  • Ming Zhang — 35 papers, h 11
  • Ming Zhang — 22 papers, h 38
  • Ming Zhang — 13 papers, h 2
  • Ming Zhang — 13 papers, h 5
  • Ming Zhang — 11 papers, h 7

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
20222026
most citedA Diffusion model for POI recommendation

72 citations · 267 across the 33 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning

Yusheng Zhao, Xiao Luo, Weizhi Zhang +4

The ability to reason is one of the most fundamental capabilities of large language models (LLMs), enabling a wide range of downstream tasks through sophisticated problem-solving.…

cs.LG2025★ 7 cited

Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval

Junyu Luo, Yusheng Zhao, Xiao Luo +5

Unsupervised efficient domain adaptive retrieval aims to transfer knowledge from a labeled source domain to an unlabeled target domain, while maintaining low storage cost and high…

cs.LG2025

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs

Yusheng Zhao, Qixin Zhang, Xiao Luo +5

Large language models (LLMs) have been used in many zero-shot learning problems, with their strong generalization ability. Recently, adopting LLMs in text-attributed graphs (TAGs)…

cs.MM2025

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness

Yusheng Zhao, Junyu Luo, Xiao Luo +5

Multi-modal large language models (MLLMs) have recently achieved great success in processing and understanding information from diverse modalities (e.g., text, audio, and visual si…

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