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Shijie Wang

The Hong Kong Polytechnic University

12 papers hereh-index 91.2k citations16 works total

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

author position
  • first author1
  • middle author10

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • cs.IR6
  • cs.SI2
  • cs.CE1
  • cs.CL1
  • cs.CR1
  • cs.LG1
affiliations
  • The Hong Kong Polytechnic University
Homepage
same name
  • Shijie Wang — 11 papers, h 2
  • Shijie Wang — 10 papers, h 5
  • Shijie Wang — 9 papers, h 7
  • Shijie Wang — 8 papers, h 6
  • Shijie Wang — 7 papers, h 1
  • Shijie Wang — 6 papers, h 15

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 citedCheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

19 citations · 48 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.IR2026

FashionKG-RAG: Knowledge Graph-Enhanced Retrieval-Augmented Generation for Fashion Question Answering

Yujuan Ding, Linyin Luo, Shijie Wang +5

Fashion is a knowledge-intensive domain in which effective decision-making depends on integrating multiple types of knowledge. Although Large Language Models (LLMs) have transforme…

cs.IR2026

Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations

Zhuohang Jiang, Yuxin Chen, Shijie Wang +6

Cross-domain recommendation is a core problem in content-to-e-commerce platforms. Its objective is to leverage user interactions with content to infer potential purchasing intent o…

cs.IR2026

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning

Jiani Huang, Shijie Wang, Liangbo Ning +2

With the rise of LLMs, there is an increasing need for intelligent recommendation assistants that can handle complex queries and provide personalized, reasoning-driven recommendati…

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