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Gaogang Xie

12 papers hereh-index 7135 citations22 works total

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

author position
  • middle author9
  • last author3

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.LG3
  • cs.SE3
  • cs.DC1
  • cs.MA1
same name
  • Gaogang Xie — 11 papers, h 35
  • Gaogang Xie — 7 papers, h 11
  • Gaogang Xie — 2 papers, h 1
  • Gaogang Xie — 2 papers, h 2
  • Gaogang Xie — 1 paper
  • Gaogang Xie — 1 paper, h 1

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
most citedKAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks

3 citations · 4 across the 10 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Cascade Failure Attribution for Multi-Agent Systems

Jiayi Zhang, Zexin Wang, Degang Sun +4

Large language model (LLM)-based agents have shown strong potential in solving complex tasks through multi-step reasoning, yet they remain vulnerable to execution failures. Accurat…

cs.AI2026

LongRCA Bench: Root-Cause Localization in Long-Horizon Agent Trajectories

Yunfei Zhang, Boyu Feng, Changhua Pei +14

In long agent executions, an early error can persist through later actions and checks, while evidence needed to trace its origin is dispersed across the history. Short histories of…

cs.AI2026

KairosVL: Orchestrating Time Series and Semantics for Unified Reasoning

Haotian Si, Changhua Pei, Xiao He +9

Driven by the increasingly complex and decision-oriented demands of time series analysis, we introduce the Semantic-Conditional Time Series Reasoning task, which extends convention…

cs.AI2025

A Survey on AgentOps: Categorization, Challenges, and Future Directions

Zexin Wang, Jingjing Li, Quan Zhou +7

As the reasoning capabilities of Large Language Models (LLMs) continue to advance, LLM-based agent systems offer advantages in flexibility and interpretability over traditional sys…

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