4 papers
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
Zhida Qin, Zemu Liu, Haoyan Fu +4
Cross-domain sequential recommendation (CDSR) alleviates interaction sparsity by jointly modeling user behaviors across multiple domains. While current studies have made some progr…
AutoUE: Automated Generation of 3D Games in Unreal Engine via Multi-Agent Systems
Lei Yin, Wentao Cheng, Zhida Qin +3
Automatically generating 3D games in commercial game engines remains a non-trivial challenge, as it involves complex engine-related workflows for generating assets such as scenes,…
InfoDCL: Informative Noise Enhanced Diffusion Based Contrastive Learning
Xufeng Liang, Zhida Qin, Chong Zhang +2
Contrastive learning has demonstrated promising potential in recommender systems. Existing methods typically construct sparser views by randomly perturbing the original interaction…
From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search
Jintao Sun, Hao Fei, Zhedong Zheng +1
In text-based person search endeavors, data generation has emerged as a prevailing practice, addressing concerns over privacy preservation and the arduous task of manual annotation…