iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. - Yakun Yu; Shiang Qi; Jiuding Yang; Liyao Jiang; Di Niu (CIKM, 2023)

AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. - Liyao Jiang; Chenglin Li; Haolan Chen; Xiaodong Gao; Xinwang Zhong; Yang Qiu; Shani Ye; Di Niu (KDD, 2023)

DimReg: Embedding Dimension Search via Regularization for Recommender Systems. - Mingjun Zhao; Liyao Jiang; Yakun Yu; Xinmin Wang; Yi Yuan; Zheng Wei; Di Niu (SDM, 2024)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohan Sai Singamsetti; Fengyu Sun; Wei Lu 023; Di Niu (CoRR, 2024)

PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohammadreza Samadi; Jiao He; Fengyu Sun; Di Niu (AAAI, 2025)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohan Sai Singamsetti; Fengyu Sun; Wei Lui; Di Niu (Trans. Mach. Learn. Res., 2025)