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active 2023-08-29 → 2024-11-26 (UTC)

Complete coverage26,325 / 26,325 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-15 (UTC)
Events
61
Pushes
44
Pull requests
0
Issues
17
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 456 days from 2023-08-29 to 2024-11-26. Pushes: 44 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 17 total, peak 2 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Jyonn614400

Recent activity

Latest issues, pull requests and releases

  • Issue#31Jyonn2024-11-26 11:20
    Discrete Semantic Tokenization for Deep CTR Prediction - Qijiong LIU (Jyonn)
  • Issue#29Jyonn2024-09-21 12:20
    STORE: Streamlining Semantic Tokenization and Generative Recommendation within a Single LLM - Qijiong LIU (Jyonn)
  • Issue#28Jyonn2024-05-30 03:23
    Structure-aware Semantic Node Identifiers for Learning on Graphs - Qijiong LIU (Jyonn)
  • Issue#27Jyonn2024-01-25 05:09
    Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization - Qijiong LIU (Jyonn)
  • Issue#26Jyonn2023-12-15 02:45
    Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision - Qijiong LIU (Jyonn)
  • Issue#25Jyonn2023-11-30 12:08
    Adaptive Image Grid Layout Tool - Qijiong LIU (Jyonn)
  • Issue#24Jyonn2023-11-23 11:18
    Continual Graph Convolutional Networks for Text Classification - Qijiong LIU (Jyonn)
  • Issue#23Jyonn2023-11-01 12:21
    PREC: Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation - Qijiong LIU (Jyonn)
  • Issue#22Jyonn2023-10-25 02:52
    Oba: Converting a Python iterable object to an attribute class - Qijiong LIU (Jyonn)
  • Issue#21Jyonn2023-10-24 13:04
    Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation - Qijiong LIU (Jyonn)
  • Issue#20Jyonn2023-10-18 03:21
    Pigmento: Colorize and Trace Printing - Qijiong LIU (Jyonn)
  • Issue#19Jyonn2023-10-15 13:04
    Our Work Was Introduced on DataFunTalk - Qijiong LIU (Jyonn)
  • Issue#18Jyonn2023-10-10 14:08
    A First Look at LLM-powered Generative News Recommendation - Qijiong LIU (Jyonn)
  • Issue#17Jyonn2023-09-01 03:46
    Co-evolving Vector Quantization for ID-based Recommendation - Qijiong LIU (Jyonn)
  • Issue#16Jyonn2023-08-31 08:50
    Only Encode Once: Making Content-based News Recommender Greener - Qijiong LIU (Jyonn)
  • Issue#15Jyonn2023-08-31 08:39
    ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models - Qijiong LIU (Jyonn)
  • Issue#14Jyonn2023-08-29 10:01
    One paper benchmarking green RecSys was preprinted on arXiv - Qijiong LIU (Jyonn)

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.