activity
20242026
most citedKnowledge-Enhanced Recommendation with User-Centric Subgraph Network

5 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2026

TAGR: Temporally Adaptive Generative Recommendation for Industrial Live-Streaming Advertising

Wencai Ye, Guangyi Liu, Chaoyi Wang +7

Live-streaming advertising is an important monetization channel on short-video and e-commerce platforms, where rapidly changing live content, promoted products, and user feedback i…

cs.AI2026

Falsifiable Commitment Planning for Self-Correcting Web Agents

Guangyi Liu, Huan Zhao, Quanming Yao

Long-horizon web agents often go off track before final failure: a trajectory can remain locally plausible even after the current state, reused skill, or plan assumption no longer…

cs.MA2026

MAS-on-the-Fly: In-Context Structural Adaptation of LLM-Based Multi-Agent Systems

Guangyi Liu, Haojun Lin, Huan Zeng +2

Large Language Model (LLM)-based multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, existing works often rely on manual designs or "one-size…

cs.AI2025

Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction

Guangyi Liu, Yongqi Zhang, Xunyuan Liu +1

Drug-drug interaction (DDI) prediction is critical for treatment safety. While large language models (LLMs) show promise in pharmaceutical tasks, their effectiveness in DDI predict…

cs.CL2024★ 2 cited

Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering

Guangyi Liu, Yongqi Zhang, Yong Li +1

Large Language Models (LLMs) excel at intuitive, implicit reasoning. Guiding LLMs to construct thought chains can enhance their deliberate reasoning abilities, but also faces chall…

cs.IR2024★ 5 cited

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network

Guangyi Liu, Quanming Yao, Yongqi Zhang +1

Recommendation systems, as widely implemented nowadays on various platforms, recommend relevant items to users based on their preferences. The classical methods which rely on user-…