Changping Peng

According to our database, Changping Peng authored at least 30 papers between 2020 and 2024.

Collaborative distances:

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

2024

Domain-Aware Cross-Attention for Cross-domain Recommendation.

Yuhao Luo, Shiwei Ma, Mingjun Nie, Changping Peng, Zhangang Lin, Jingping Shao, Qianfang Xu

CoRR, 2024

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction.

Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems.

Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An Incremental Update Framework for Online Recommenders with Data-Driven Prior.

Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2023

Data Contamination Issues in Brain-to-Text Decoding.

Congchi Yin, Qian Yu, Zhiwei Fang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao, Piji Li

CoRR, 2023

Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search.

Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

CoRR, 2023

Loss Harmonizing for Multi-Scenario CTR Prediction.

Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dynamic Group Parameter Modeling for Click-Through-Rate Prediction.

Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Incremental Update Framework for Online Recommenders with Data-Driven Prior.

Chen Yang, Jin Chen, Qian Yu, Xiangdong Wu, Kui Ma, Zihao Zhao, Zhiwei Fang, Wenlong Chen, Chaosheng Fan, Jie He, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Blending Advertising with Organic Content in E-commerce via Virtual Bids.

Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Peiqin Gu, Xiliang Lin, Wenlong Chen, Junsheng Jin, Fanan Zhu, Changping Peng, Yongjun Bao, Zhangang Lin, Weipeng Yan, Jingping Shao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System.

Xin Zhao, Zhiwei Fang, Yuchen Guo, Jie He, Wenlong Chen, Changping Peng

CoRR, 2022

Research: A Pre-Computing Solution for Online Advertising Serving.

Han Xu, Hao Qi, Kunyao Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

NDGGNET-A Node Independent Gate based Graph Neural Networks.

Ye Tang, Xuesong Yang, Xinrui Liu, Xiwei Zhao, Zhangang Lin, Changping Peng

CoRR, 2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction.

Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Concept Drift Adaptation for CTR Prediction in Online Advertising Systems.

Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

IA-GCN: Interactive Graph Convolutional Network for Recommendation.

Yinan Zhang, Pei Wang, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction.

Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads.

Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework.

Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction.

Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao, Non Non

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Position Awareness Modeling with Knowledge Distillation for CTR Prediction.

Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation.

Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models.

Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Dynamic Parameterized Network for CTR Prediction.

Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2021

Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach.

Carlos Carrion, Zenan Wang, Harikesh S. Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan

CoRR, 2021

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems.

Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit.

Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System.

Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Dimension Relation Modeling for Click-Through Rate Prediction.

Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020