OpenReview.net
OpenReview.net
Login
OpenReview.net
Login

Chongxian Chen

PhD student, Computer Science, Waseda University
Joined
May 2025

Names

Chongxian Chen (Preferred)

Emails

****@toki.waseda.jp (Confirmed)

Personal Links

Google Scholar
DBLP
ORCID

Career & Education History

PhD student
Computer Science, Waseda University (waseda.jp)
2023 – 2026

Advisors, Relations & Conflicts

No relations added

Expertise

Deep Learning
2021 – 2025
GNNs
2021 – 2025

Publications

  • Light distillation for Incremental Graph Convolution Collaborative Filtering

    X. Fan, Fan Mo, Chongxian Chen, Hayato Yamana
    • CoRR 2025
    • Readers: Everyone
  • Personalized Fashion Recommendation with Image Attributes and Aesthetics Assessment

    Chongxian Chen, Fan Mo, Xin Fan, Hayato Yamana
    • CoRR 2025
    • Readers: Everyone
  • Synergistic fusion framework: Integrating training and non-training processes for accelerated graph convolution network-based recommendation

    Fan Mo, Xin Fan, Chongxian Chen, Hayato Yamana
    • Pattern Recognit. 2025
    • Readers: Everyone
  • Sampling-based epoch differentiation calibrated graph convolution network for point-of-interest recommendation

    Fan Mo, Xin Fan, Chongxian Chen, Changhao Bai, Hayato Yamana
    • Neurocomputing 2024
    • Readers: Everyone
  • Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models

    Yuxiang Zhang, Xin Fan, Junjie Wang, Chongxian Chen, Fan Mo, Tetsuya Sakai, Hayato Yamana
    • CoRR 2024
    • Readers: Everyone

Co-Authors

  • Changhao Bai
  • Fan Mo
  • Hayato Yamana
  • Junjie Wang
  • Tetsuya Sakai
  • X. Fan
  • Xin Fan
  • Yuxiang Zhang
  • About OpenReview
  • Hosting a Venue
  • All Venues
  • Contact
  • Sponsors
  • Donate
  • FAQ
  • Terms of Use / Privacy Policy
  • News
  • About OpenReview
  • Hosting a Venue
  • All Venues
  • Sponsors
  • News
  • FAQ
  • Contact
  • Donate
  • Terms of Use
  • Privacy Policy

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2026 OpenReview