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researcher

Liang Wu

12 papers here

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

author position
  • first author1
  • middle author11

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

fields
  • cs.AI4
  • cs.LG4
  • cs.IR3
  • cs.CV1
same name
  • Liang Wu — 16 papers, h 22
  • Liang Wu — 15 papers, h 27
  • Liang Wu — 10 papers, h 4
  • Liang Wu — 8 papers, h 3
  • Liang Wu — 7 papers, h 2
  • Liang Wu — 6 papers, h 18

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
20232026
most citedUnderstanding and Modeling Job Marketplace with Pretrained Language Models

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

S^3martCirc: Self-supervised Smart Circuit Discovery

Wendy Zheng, Yinhan He, Liang Wu +1

Large Language Models (LLMs) have demonstrated remarkable performance across diverse tasks, from text summarization to question answering. Despite these capabilities, their black-b…

cs.AI2026

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G

Liang Wu, Kelly Wan, Mayank Darbari +1

The proliferation of emerging applications, such as autonomous driving and immersive experiences, demands cellular networks that are not only faster, but fundamentally more resilie…

cs.AI2026

SAPO: Step-Aligned Policy Optimization for Reasoning-Based Generative Recommendation

Zaiyi Zheng, Liang Wu, Guanghui Min +4

Generative recommendation treats next-item prediction as autoregressive item-identifier generation. Specifically, items are encoded as semantic identifiers (SIDs), which are short…

cs.AI2024

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Xinyuan Wang, Liang Wu, Liangjie Hong +2

Graph recommendation methods, representing a connected interaction perspective, reformulate user-item interactions as graphs to leverage graph structure and topology to recommend a…

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