◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Min-Ling Zhang

68 papers hereh-index 4917.7k citations275 works total

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

author position
  • first author1
  • middle author19
  • last author43

Across the 63 of 68 papers where every author was matched, so the position is known.

fields
  • cs.LG34
  • cs.CV17
  • cs.AI8
  • cs.MA4
  • cs.SE2
  • cs.GR1
same name
  • Min-Ling Zhang — 2 papers
  • Min-Ling Zhang — 1 paper

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
20082026
most citedMulti-Instance Multi-Label Learning

435 citations · 503 across the 62 of their papers we have counts for

collaborators
Showing cs.MAShow all

4 papers · 1 filter

cs.MA2026

When Collaboration Becomes a Trigger: Collective Evidence-Threshold Backdoors in Multi-Agent Systems

Jia-Hao Xiao, Lei Feng, Min-Ling Zhang

LLM-based multi-agent systems (MAS) extend LLM capabilities through iterative communication and shared contexts. However, this collaboration introduces a vulnerability: backdoor be…

cs.MA2026

Learning to Compose for Cross-domain Agentic Workflow Generation

Jialiang Wang, Shengxiang Xu, Hanmo Liu +5

Automatically generating agentic workflows -- executable operator graphs or codes that orchestrate reasoning, verification, and repair -- has become a practical way to solve comple…

cs.MA2026

PeroMAS: A Multi-agent System of Perovskite Material Discovery

Yishu Wang, Wei Liu, Yifan Li +8

As a pioneer of the third-generation photovoltaic revolution, Perovskite Solar Cells (PSCs) are renowned for their superior optoelectronic performance and cost potential. The devel…

cs.MA2025

RobustFlow: Towards Robust Agentic Workflow Generation

Shengxiang Xu, Jiayi Zhang, Shimin Di +5

The automated generation of agentic workflows is a promising frontier for enabling large language models (LLMs) to solve complex tasks. However, the empirical study reveals that ex…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.