Papers by Ziheng Ni
HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction (2025.emnlp-industry)
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Ziheng Ni, Congcong Liu, Yuying Chen, Zhiwei Fang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
| Challenge: | Existing approaches fuse long-term behavioral profiles and short-term interactions, suffering from representational misalignment and noise in transient signals. |
| Approach: | They propose a framework that redefines interest fusion as a hierarchical denoising process through diffusion models. |
| Outcome: | The proposed framework redefines interest fusion as a hierarchical denoising process through diffusion models. |