Runze Su

According to our database, Runze Su authored at least 11 papers between 2020 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

Can Large Language Models be a Cardinality Estimator? An Empirical study.

Liangzu Liu, Yiyan Wang, Yinjun Wu, Runze Su, Zhuo Chang, Peizhi Wu, Jianjun Chen, Fuxin Jiang, Rui Shi, Bin Cui, Tieying Zhang

CoRR, March, 2026

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

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

2024

Deep Learning in Single-cell Analysis.

Dylan Molho, Jiayuan Ding, Wenzhuo Tang, Zhaoheng Li, Hongzhi Wen, Yixin Wang, Julian Venegas, Wei Jin, Renming Liu, Runze Su, Patrick Danaher, Robert Yang, Yu Leo Lei, Yuying Xie, Jiliang Tang

ACM Trans. Intell. Syst. Technol., June, 2024

2021

Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from Audio Stream.

Haoran Wei, Fei Tao, Ji Liu, Sen Yang, Runze Su

Proceedings of the ICBDT 2021: 4th International Conference on Big Data Technologies, Zibo, China, September 24, 2021

2020

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach.

Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu

CoRR, 2020

Themes Inferred Audio-visual Correspondence Learning.

Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie

CoRR, 2020