CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
Aug. 1st, 2024: Got accepted by RecSys ‘24.
Jieming ZHU*, Mengqun JIN*, Qijiong LIU, Zexuan QIU, Zhenhua DONG, and Xiu LI#
*Equal contribution (co-first authors)
[Code] [Paper]
Structure-aware Semantic Node Identifiers for Learning on Graphs
Aug. 25th, 2024: Got introduced on the Workshop on Generative AI for Recommender Systems and Personalization!
Yuankai LUO, Qijiong LIU, Lei SHI#, and Xiao-Ming WU#
[Code] [Paper]
Vector Quantization for Recommender Systems: A Review and Outlook
Qijiong LIU*, Xiaoyu DONG*, Jiaren XIAO, Nuo CHEN, Hengchang HU, Jieming ZHU, Chenxu ZHU, Tetsuya SAKAI, and Xiao-Ming WU#
*Equal contribution (co-first authors).
[Paper]
Discrete Semantic Tokenization for Deep CTR Prediction
Mar. 6th, 2024: Got accepted by TheWebConf ‘24.
Qijiong LIU, Hengchang HU, Jiahao WU, Jieming ZHU, Min-Yen KAN#, Xiao-Ming WU#
[Code] [Paper]
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
Dec. 15th, 2023: Got accepted by ECIR ‘24. Congrats to Hengchang!
Hengchang HU, Qijiong LIU, Chuang LI, Min-Yen KAN#
[Code] [Paper]
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]