Ling Leng

19 papers A* 1A 3Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Decoupled Entity Representation Learning for Pinterest Ads Ranking.
RecSys
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
2025 J jnl
Decoupled Entity Representation Learning for Pinterest Ads Ranking.
CoRR
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
2025 A conf
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest.
RecSys
Xiao Yang, Mehdi Ayed, Longyu Zhao, Fan Zhou, Yuchen Shen, Abe Engle, Jinfeng Zhuang, Ling Leng, Jiajing Xu, Charles Rosenberg, Prathibha Deshikachar
2025 J jnl
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest.
CoRR
Xiao Yang, Mehdi Ben Ayed, Longyu Zhao, Fan Zhou, Yuchen Shen, Abe Engle, Jinfeng Zhuang, Ling Leng, Jiajing Xu, Charles Rosenberg, Prathibha Deshikachar
2025 J jnl
Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads.
CoRR
Jiayin Jin, Zhimeng Pan, Yang Tang, Jiarui Feng, Kungang Li, Chongyuan Xiang, Jiacheng Li, Runze Su, Siping Ji, Han Sun, Ling Leng, Prathibha Deshikachar
2025 J jnl
MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest.
CoRR
Xiao Yang, Peifeng Yin, Abe Engle, Jinfeng Zhuang, Ling Leng
2025 J jnl
Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking.
CoRR
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
2025 — conf
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction.
WWW (Companion Volume)
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
2025 J jnl
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction.
CoRR
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
2025 J jnl
Privacy Preserving Conversion Modeling in Data Clean Room.
CoRR
Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei
2025 J jnl
The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion.
CoRR
Andrew Qiu, Shubham Barhate, Hin Wai Lui, Runze Su, Rafael Rios Müller, Kungang Li, Ling Leng, Han Sun, Shayan Ehsani, Zhifang Liu
2025 J jnl
π-PhenoDrug: A Comprehensive Deep Learning-Based Pipeline for Phenotypic Drug Screening in High-Content Analysis.
Adv. Intell. Syst.
Xiao Li, Qinxue Ouyang, Mingfei Han, Xiaoqing Liu, Fuchu He, Yunping Zhu, Ling Leng, Jie Ma
2024 A conf
Privacy Preserving Conversion Modeling in Data Clean Room.
RecSys
Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei
2023 J jnl
Hedonic Prices and Quality Adjusted Price Indices Powered by AI.
CoRR
Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan
2023 J jnl
Image Virtual Viewpoint Generation Method under Hole Pixel Information Update.
Symmetry
Ling Leng, Changlun Gao, Fangren Zhang, Dan Li, Wei Zhang, Ting Gao, Zhiheng Zeng, Luxin Tang, Qing Luo, Yuxin Duan
2021 J jnl
Multi-stream slowFast graph convolutional networks for skeleton-based action recognition.
Image Vis. Comput.
Ning Sun, Ling Leng, Jixin Liu, Guang Han
2021 J jnl
Periodic-GP: Learning Periodic World with Gaussian Process Bandits.
CoRR
Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song
2020 A* conf
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making.
ICML
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020 J jnl
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making.
CoRR
Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng