Xinhang Li
Scholar

Xinhang Li

Google Scholar ID: 37dkwCMAAAAJ
Tsinghua University
Recommender SystemKnowledge GraphTransfer Learning
Citations & Impact
All-time
Citations
316
 
H-index
8
 
i10-index
7
 
Publications
15
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Paper: 'Large Language Model as Universal Retriever in Industrial-Scale Recommender System' (Submitted to KDD’26)
  • Paper: 'GFlowGR: Finetuning Generative Recommendation Frameworks with Generative Flow Networks' (Submitted to NeurIPS’25)
  • Paper: 'Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs' (CIKM’25)
  • Paper: 'Optimal Transport Enhanced Cross-City Site Recommendation' (SIGIR’24)
  • Received special talent offers in 2024 from Alibaba (T-Star), Kwai (Kuai Star), Tencent (Qingyun Program), Baidu (Aidu), Li Auto (Li+), etc.
Research Experience
  • Senior Algorithm Engineer, Alimama, Alibaba (Feb 2025 – Present); Focus: Ads Algorithm
  • Summer Intern, Tencent WeChat Search (Jun 2024 – Sep 2024); Supervisor: Ting Yao; Project: Large Language Models for Search
  • Research Intern, Huawei Cloud (Aug 2023 – Mar 2024); Supervisor: Chong Chen; Project: Large Language Models for Recommendation
  • Research Intern, Tencent Jarvis Lab (Jun 2021 – Jun 2022); Supervisor: Xian Wu; Project: Cross-Domain Recommendation and Medical Data Mining
  • Research Assistant, Institute for Interdisciplinary Information Sciences, Tsinghua University (Mar 2019 – Aug 2019); Supervisor: Pingzhong Tang; Project: Time Series Prediction for Stock Prediction
  • Research Assistant, Language Computing and Machine Learning Group, Peking University (Nov 2018 – Apr 2019); Supervisor: Xu Sun; Project: Multi-modal Text Generation
  • Research Engineer Intern, Data++ Group, MEGVII (Nov 2018 – Apr 2019); Project: Video Data Processing Flow Design