Zhangang Lin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 42

Top Topics

Online Advertising

Top Venues

Publications

Chunyuan Yuan, Ming Pang, Zheng Fang, Xue Jiang, Changping Peng, Zhangang Lin
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce. WWW (Companion Volume) (2024)
Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection. Int. J. Comput. Vis. 132 (8) (2024)
Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. AAAI (2024)
Yuhao Luo, Shiwei Ma, Mingjun Nie, Changping Peng, Zhangang Lin, Jingping Shao, Qianfang Xu
Domain-Aware Cross-Attention for Cross-domain Recommendation. CoRR (2024)
Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. AAAI (2024)
Haohan Wang, Wei Feng, Yang Lu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Lixing Bo, Jingping Shao
Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style. CoRR (2023)
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
An Incremental Update Framework for Online Recommenders with Data-Driven Prior. CoRR (2023)
Xuan Ma, Jian Wang, Zhiyuan Chen, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao
Dynamic Group Parameter Modeling for Click-Through-Rate Prediction. CIKM (2023)
Zhiguang Yang, Lu Wang, Chun Gan, Liufang Sang, Haoran Wang, Wenlong Chen, Jie He, Changping Peng, Zhangang Lin, Jingping Shao
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. CoRR (2023)
Congchi Yin, Qian Yu, Zhiwei Fang, Jie He, Changping Peng, Zhangang Lin, Jingping Shao, Piji Li
Data Contamination Issues in Brain-to-Text Decoding. CoRR (2023)
Lingwei Kong, Lu Wang, Xiwei Zhao, Junsheng Jin, Zhangang Lin, Jinghe Hu, Jingping Shao
LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. SIGIR (2023)
Yun Guo, Wei Feng, Zheng Zhang, Xiancong Ren, Yaoyu Li, Jingjing Lv, Xin Zhu, Zhangang Lin, Jingping Shao
Mutual Query Network for Multi-Modal Product Image Segmentation. CoRR (2023)
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao
Relation-Aware Diffusion Model for Controllable Poster Layout Generation. CoRR (2023)
Congcong Liu, Liang Shi, Pei Wang, Fei Teng, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao
Loss Harmonizing for Multi-Scenario CTR Prediction. RecSys (2023)
Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. CoRR (2023)
Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. CoRR (2023)
Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. CIKM (2023)
Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. SIGIR (2023)
Yun Guo, Wei Feng, Zheng Zhang, Xiancong Ren, Yaoyu Li, Jingjing Lv, Xin Zhu, Zhangang Lin, Jingping Shao
Mutual Query Network for Multi-Modal Product Image Segmentation. ICME (2023)
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
An Incremental Update Framework for Online Recommenders with Data-Driven Prior. CIKM (2023)
Zhaochen Li, Fengheng Li, Wei Feng, Honghe Zhu, An Liu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao, Zhenglu Yang
Planning and Rendering: Towards End-to-End Product Poster Generation. CoRR (2023)
Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
Confidence Ranking for CTR Prediction. WWW (Companion Volume) (2023)
Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao
Confidence Ranking for CTR Prediction. CoRR (2023)
Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. ECML/PKDD (6) (2023)
Lu Wang, Yuhai Song, Zhe Wang, Haoxiang Wang, Yu Li, Weiwei Zhou, Haoming Dang, Mona Shao, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao
Pluggable Deep Thompson Sampling with Applications to Recommendation. SDM (2023)
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
Blending Advertising with Organic Content in E-commerce via Virtual Bids. AAAI (2023)
Fengheng Li, An Liu, Wei Feng, Honghe Zhu, Yaoyu Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junjie Shen, Zhangang Lin, Jingping Shao
Relation-Aware Diffusion Model for Controllable Poster Layout Generation. CIKM (2023)
Jinbo Song, Ruoran Huang, Xinyang Wang, Wei Huang, Qian Yu, Mingming Chen, Yafei Yao, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models. CIKM (2022)
Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction. CoRR (2022)
Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
Position Awareness Modeling with Knowledge Distillation for CTR Prediction. RecSys (2022)
Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao, Non Non
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction. SIGIR (2022)
Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction. CoRR (2022)
Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao
Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation. DL4SR@CIKM (2022)
Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework. WWW (2022)
Han Xu, Hao Qi, Kunyao Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
Research: A Pre-Computing Solution for Online Advertising Serving. CoRR (2022)
Ye Tang, Xuesong Yang, Xinrui Liu, Xiwei Zhao, Zhangang Lin, Changping Peng
NDGGNET-A Node Independent Gate based Graph Neural Networks. CoRR (2022)
Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework. CoRR (2022)
Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao
CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection. CoRR (2022)
Yinan Zhang, Pei Wang, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
IA-GCN: Interactive Graph Convolutional Network for Recommendation. CoRR (2022)
Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads. WWW (2022)
Congcong Liu, Yuejiang Li, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao
Concept Drift Adaptation for CTR Prediction in Online Advertising Systems. CoRR (2022)
Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Guangpeng Chen, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
Dynamic Parameterized Network for CTR Prediction. CoRR (2021)
Zhangang Lin, Zuoquan Lin
Handling Contradictions in Default Theories. KSEM (2007)
Zhangang Lin, Yue Ma, Zuoquan Lin
A Fault-Tolerant Default Logic. JELIA (2006)
Yue Ma, Zuoquan Lin, Zhangang Lin
Inferring with Inconsistent OWL DL Ontology: A Multi-valued Logic Approach. EDBT Workshops (2006)
Chong Zhang, Zhangang Lin, Zuoquan Lin
Variable Neighborhood Search with Permutation Distance for QAP. KES (4) (2005)