Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians. - Ning Li; Haopeng Liu; Bin Qiu; Wei Guo; Shijun Zhao; Kungang Li; Jie He (CoRR, 2017)

Privacy Preserving Conversion Modeling in Data Clean Room. - Kungang Li; Xiangyi Chen; Ling Leng; Jiajing Xu; Jiankai Sun; Behnam Rezaei (RecSys, 2024)

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. - Jinfeng Zhuang; Yinrui Li; Runze Su; Ke Xu; Zhixuan Shao; Kungang Li; Ling Leng; Han Sun; Meng Qi; Yixiong Meng; Yang Tang; Zhifang Liu; et al. (WWW (Companion Volume), 2025)

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. - Jinfeng Zhuang; Yinrui Li; Runze Su; Ke Xu; Zhixuan Shao; Kungang Li; Ling Leng; Han Sun; Meng Qi; Yixiong Meng; Yang Tang; Zhifang Liu; et al. (CoRR, 2025)

The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion. - Andrew Qiu; Shubham Barhate; Hin Wai Lui; Runze Su; Rafael Rios Müller; Kungang Li; Ling Leng; Han Sun; Shayan Ehsani; Zhifang Liu (CoRR, 2025)

Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads. - Jiayin Jin; Zhimeng Pan; Yang Tang; Jiarui Feng; Kungang Li; Chongyuan Xiang; Jiacheng Li; Runze Su; Siping Ji; Han Sun; Ling Leng; Prathibha Deshikachar (CoRR, 2025)

Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking. - Runze Su; Jiayin Jin; Jiacheng Li; Sihan Wang; Guangtong Bai; Zelun Wang; Li Tang; Yixiong Meng; Huasen Wu; Zhimeng Pan; Kungang Li; Han Sun; et al. (CoRR, 2025)