Kungang Li

According to our database, Kungang Li authored at least 12 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fine-Tuned LLM as a Complementary Predictor Improving Ads System.

Hui Yang, Daiwei He, Kevin Jiang, Taejin Park, Kungang Li, Jiajun Luo, Yuying Chen, Xinyi Zhang, Sihan Wang, Haoyu He, Yu Liu, Lakshmi Manoharan, David Xue, Shubham Barhate, Runze Su, Duna Zhan, Ling Leng, Siping Ji, Jinfeng Zhuang, Alice Wu, Leo Lu, Han Sun, Zhifang Liu

CoRR, May, 2026

ML-DCN: Masked Low-Rank Deep Crossing Network Towards Scalable Ads Click-through Rate Prediction at Pinterest.

Jiacheng Li, Yixiong Meng, Yi wu, Yun Zhao, Sharare Zehtabian, Jiayin Jin, Degao Peng, Jinfeng Zhuang, Qifei Shen, Kungang Li

CoRR, February, 2026

2025

Decoupled Entity Representation Learning for Pinterest Ads Ranking.

Jie Liu, Yinrui Li, Jiankai Sun, Kungang Li, Han Sun, Sihan Wang, Huasen Wu, Siyuan Gao, Paulo Soares, Nan Li, Zhifang Liu, Haoyang Li, Siping Ji, Ling Leng, Prathibha Deshikachar

CoRR, September, 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, Zhifang Liu, Haoyang Li, Siping Ji, Degao Peng, Jinfeng Zhuang, Ling Leng, Prathibha Deshikachar

CoRR, August, 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, August, 2025

Privacy Preserving Conversion Modeling in Data Clean Room.

Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei

CoRR, May, 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, May, 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, Qifei Shen, Aayush Mudgal, Caleb Lu, Jie Liu, Hongda Shen

CoRR, April, 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, Qifei Shen, Aayush Mudgal

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Decoupled Entity Representation Learning for Pinterest Ads Ranking.

Jie Liu, Yinrui Li, Jiankai Sun, Kungang Li, Han Sun, Sihan Wang, Huasen Wu, Siyuan Gao, Paulo Soares, Nan Li, Zhifang Liu, Haoyang Li, Siping Ji, Ling Leng, Prathibha Deshikachar

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Privacy Preserving Conversion Modeling in Data Clean Room.

Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2017

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