Jan. 24th, 2024: Got accepted by TheWebConf ‘24.
Qijiong LIU, Lu FAN*, Jiaren XIAO*, Jieming ZHU, and Xiao-Ming WU#
*Equal contribution (co-second authors).
[Code] [Paper]
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Aug. 25th, 2024: Got introduced on the Workshop on Generative AI for Recommender Systems and Personalization!
Oct. 20th, 2023: Got accepted by WSDM ‘24. Our first version (i.e., GENRE) discussed the use of closed-source LLMs (e.g., GPT-3.5) in recommender systems, while this version (i.e., ONCE) further combines open-source LLMs (e.g., LLaMA) and closed-source LLMs in recommender systems.
Qijiong LIU, Nuo CHEN, Tetsuya SAKAI, and Xiao-Ming WU#
[Code] [Paper]
Benchmarking News Recommendation in the Era of Green AI
Mar. 6th, 2024: Got accepted by TheWebConf ‘24. It is a revised and condensed version of the previous work titled Only Encode Once: Making Content-based News Recommender Greener. While the core ideas and results remain consistent, the presentation scope have been modified for brevity and clarity. For the full details and extended discussions, please refer to the original long paper at here.
Qijiong LIU*, Jieming ZHU*, Quanyu DAI, Xiao-Ming WU#
*Equal contribution (co-first authors).
[Code] [Paper]
I am very excited to announce that I will be joining the National University of Singapore as a visiting scholar in July 2023, working with Prof. Min-Yen Kan.
The research topic will be related to information retrieval and multimodal learning. I am looking forward to this new journey!
A First Look at LLM-powered Generative News Recommendation
Oct. 20th, 2023: The expanded version, i.e., ONCE, got accepted by WSDM ‘24.
Oct. 10th, 2023: Got introduced on DataFunTalk!
Qijiong LIU, Nuo CHEN, Tetsuya SAKAI, and Xiao-Ming WU#
[Code] [Paper]
FANS: Fast Non-autoregressive Sequential Generation for Item List Continuation
Jan. 25th, 2023: Got accepted by TheWebConf ‘23!
Qijiong LIU, Jieming ZHU, Jiahao WU, Tiandeng WU, Zhenhua DONG, and Xiao-Ming WU#
[Code] [Paper]
Continual Graph Convolutional Networks for Text Classification
Nov. 19th, 2022: Got accepted by AAAI ‘23!
Tiandeng WU*, Qijiong LIU*, Yao HUANG, Yi CAO, Xiao-Ming WU#, and Jiandong DING#
*Equal contribution (co-first authors). Author ordering determined by dice rolling.
[Code] [Paper]
PREC: Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
Aug. 17th, 2022: Got accepted by COLING ‘22! This marks a significant milestone in my research career as it represents the first paper accepted with me as the primary author.
Qijiong LIU, Jieming ZHU, Quanyu DAI, Xiao-Ming WU#
[Code] [Paper]