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ORCIDLing Leng
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[i15]Jieming Di, Xiaoyu Chen, Ying She, Siyu Wang, Lizzie Liu, Fenggang Wu, Jiaoying Mu, Tony Tsui, Amr Elroumy, Hsing Tang, Zewei Jiang, Qiao Yang, Lin Qi, Haibo Lin, Weifeng Cui, Daniel Li, Kapil Gupta, Shivendra Pratap Singh, Jie Zheng, Arnold Overwijk, Ling Leng, Sri Reddy, Robert Malkin, Rocky Liu:
Intelligent Elastic Feature Fading: Enabling Model Retrain-Free Feature Efficiency Rollouts at Scale. CoRR abs/2605.00324 (2026)- [i14]Xiaoyu Chen, Ruichen Wang, Jieming Di, Suofei Feng, Nafis Abrar, Lilly Kumari, Tony Tsui, Yilin Liu, Yu Lu, Sowmya Patapati, Junwei Xiong, Qiao Yang, Dorothy Sun, Yang Cao, Victor Chen, Pan Chen, Ramsundar Sundarkumar, Shivendra Pratap Singh, Arnold Overwijk, Ling Leng, Dinesh Ramasamy, Sri Reddy, Robert Malkin, Sandeep Pandey:
Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation. CoRR abs/2605.24051 (2026) - [i13]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:
Fine-Tuned LLM as a Complementary Predictor Improving Ads System. CoRR abs/2605.27856 (2026) - [i12]Xiangyu Wang, Yawen He, Shivendra Pratap Singh, Han Huang, Mengtong Hu, Sharath Ciddu, Yi-Hsuan Hsieh, Erik Groving, Yi Ding, Jieming Di, Tony Wang, Min Yun, Xiaoyu Chen, Ling Leng, Robert Malkin:
Synthetic Data from Cross-Domain Events for Large-Scale Recommendation Systems. CoRR abs/2606.00282 (2026) - 2025
- [j3]Xiao Li, Qinxue Ouyang, Mingfei Han, Xiaoqing Liu, Fuchu He, Yunping Zhu
, Ling Leng, Jie Ma:
π-PhenoDrug: A Comprehensive Deep Learning-Based Pipeline for Phenotypic Drug Screening in High-Content Analysis. Adv. Intell. Syst. 7(6) (2025) - [c5]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:
Decoupled Entity Representation Learning for Pinterest Ads Ranking. RecSys 2025: 940-944 - [c4]Xiao Yang, Mehdi Ayed, Longyu Zhao, Fan Zhou, Yuchen Shen, Abe Engle, Jinfeng Zhuang, Ling Leng, Jiajing Xu, Charles Rosenberg, Prathibha Deshikachar:
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest. RecSys 2025: 945-948 - [c3]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:
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. WWW (Companion Volume) 2025: 671-680 - [i11]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:
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction. CoRR abs/2504.08169 (2025) - [i10]Andrew Qiu, Shubham Barhate, Hin Wai Lui, Runze Su, Rafael Rios Müller, Kungang Li, Ling Leng, Han Sun, Shayan Ehsani, Zhifang Liu:
The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion. CoRR abs/2505.05605 (2025) - [i9]Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei:
Privacy Preserving Conversion Modeling in Data Clean Room. CoRR abs/2505.14959 (2025) - [i8]Jiayin Jin, Zhimeng Pan, Yang Tang, Jiarui Feng, Kungang Li, Chongyuan Xiang, Jiacheng Li, Runze Su, Siping Ji, Han Sun, Ling Leng, Prathibha Deshikachar:
Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads. CoRR abs/2508.02609 (2025) - [i7]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:
Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking. CoRR abs/2508.05700 (2025) - [i6]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:
Decoupled Entity Representation Learning for Pinterest Ads Ranking. CoRR abs/2509.04337 (2025) - [i5]Xiao Yang, Mehdi Ben Ayed, Longyu Zhao, Fan Zhou, Yuchen Shen, Abe Engle, Jinfeng Zhuang, Ling Leng, Jiajing Xu, Charles Rosenberg, Prathibha Deshikachar:
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest. CoRR abs/2509.05292 (2025) - [i4]Xiao Yang, Peifeng Yin, Abe Engle, Jinfeng Zhuang, Ling Leng:
MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest. CoRR abs/2510.09857 (2025) - 2024
- [c2]Kungang Li, Xiangyi Chen, Ling Leng, Jiajing Xu, Jiankai Sun, Behnam Rezaei:
Privacy Preserving Conversion Modeling in Data Clean Room. RecSys 2024: 819-822 - 2023
- [j2]Ling Leng, Changlun Gao, Fangren Zhang, Dan Li, Wei Zhang, Ting Gao, Zhiheng Zeng, Luxin Tang, Qing Luo, Yuxin Duan:
Image Virtual Viewpoint Generation Method under Hole Pixel Information Update. Symmetry 15(1): 34 (2023) - [i3]Patrick Bajari, Zhihao Cen, Victor Chernozhukov, Manoj Manukonda, Suhas Vijaykumar, Jin Wang, Ramón Huerta, Junbo Li, Ling Leng, George Monokroussos, Shan Wan:
Hedonic Prices and Quality Adjusted Price Indices Powered by AI. CoRR abs/2305.00044 (2023) - 2021
- [j1]Ning Sun, Ling Leng, Jixin Liu, Guang Han:
Multi-stream slowFast graph convolutional networks for skeleton-based action recognition. Image Vis. Comput. 109: 104141 (2021) - [i2]Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song:
Periodic-GP: Learning Periodic World with Gaussian Process Bandits. CoRR abs/2105.14422 (2021) - 2020
- [c1]Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng:
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. ICML 2020: 8807-8817 - [i1]Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng:
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. CoRR abs/2002.01751 (2020)
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