Variable Neighborhood Search with Permutation Distance for QAP. - Chong Zhang; Zhangang Lin; Zuoquan Lin (KES (4), 2005)

Inferring with Inconsistent OWL DL Ontology: A Multi-valued Logic Approach. - Yue Ma 009; Zuoquan Lin; Zhangang Lin (EDBT Workshops, 2006)

A Fault-Tolerant Default Logic. - Zhangang Lin; Yue Ma 009; Zuoquan Lin (JELIA, 2006)

Handling Contradictions in Default Theories. - Zhangang Lin; Zuoquan Lin (KSEM, 2007)

Dynamic Parameterized Network for CTR Prediction. - Jian Zhu; Congcong Liu; Pei Wang 017; Xiwei Zhao; Guangpeng Chen; Junsheng Jin; Changping Peng; Zhangang Lin; Jingping Shao (CoRR, 2021)

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 (CIKM, 2022)

Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation. - Qian Yu; Xiangdong Wu; Chen Yang 018; Zihao Zhao 008; Haoxin Liu; Chaosheng Fan; Changping Peng; Zhangang Lin; Jinghe Hu; Jingping Shao (DL4SR@CIKM, 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 (RecSys, 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 034; Yang He; Changping Peng; Zhangang Lin; Jingping Shao; Non Non (SIGIR, 2022)

Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework. - Xiaoxiao Xu; Chen Yang 018; Qian Yu; Zhiwei Fang; Jiaxing Wang; Chaosheng Fan; Yang He; Changping Peng; Zhangang Lin; Jingping Shao (WWW, 2022)

Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads. - Kaifu Zheng; Lu Wang 031; Yu Li; Xusong Chen; Hu Liu; Jing Lu; Xiwei Zhao; Changping Peng; Zhangang Lin; Jingping Shao (WWW, 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)

IA-GCN: Interactive Graph Convolutional Network for Recommendation. - Yinan Zhang; Pei Wang 017; Xiwei Zhao; Hao Qi 005; Jie He 005; Junsheng Jin; 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)

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction. - Xiaoxiao Xu; Zhiwei Fang; Qian Yu; Ruoran Huang; Chaosheng Fan; Yong Li 034; Yang He; 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)

Research: A Pre-Computing Solution for Online Advertising Serving. - Han Xu; Hao Qi 005; Kunyao Wang; Pei Wang 017; Guowei Zhang; Congcong Liu; Junsheng Jin; Xiwei Zhao; Changping Peng; Zhangang Lin; Jingping Shao (CoRR, 2022)

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; et al. (AAAI, 2023)

An Incremental Update Framework for Online Recommenders with Data-Driven Prior. - Chen Yang 018; Jin Chen 008; Qian Yu; Xiangdong Wu; Kui Ma; Zihao Zhao 008; Zhiwei Fang; Wenlong Chen; Chaosheng Fan; Jie He 005; Changping Peng; Zhangang Lin; et al. (CIKM, 2023)

Relation-Aware Diffusion Model for Controllable Poster Layout Generation. - Fengheng Li; An Liu; Wei Feng; Honghe Zhu; Yaoyu Li; Zheng Zhang; Jingjing Lv; Xin Zhu; Junjie Shen 008; Zhangang Lin; Jingping Shao (CIKM, 2023)

Dynamic Group Parameter Modeling for Click-Through-Rate Prediction. - Xuan Ma; Jian Wang; Zhiyuan Chen; Zehua Zhang; Jie He 005; Changping Peng; Zhangang Lin; Jingping Shao (CIKM, 2023)

BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. - Yinan Zhang; Pei Wang 017; Congcong Liu; Xiwei Zhao; Hao Qi 005; Jie He 005; Junsheng Jin; Changping Peng; Zhangang Lin; Jingping Shao (CIKM, 2023)

Mutual Query Network for Multi-Modal Product Image Segmentation. - Yun Guo; Wei Feng; Zheng Zhang; Xiancong Ren; Yaoyu Li; Jingjing Lv; Xin Zhu; Zhangang Lin; Jingping Shao (ICME, 2023)

PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. - Han Xu; Hao Qi 005; Yaokun Wang; Pei Wang 017; Guowei Zhang; Congcong Liu; Junsheng Jin; Xiwei Zhao; Zhangang Lin; Jinghe Hu; Jingping Shao (ECML/PKDD (6), 2023)

Loss Harmonizing for Multi-Scenario CTR Prediction. - Congcong Liu; Liang Shi; Pei Wang 017; Fei Teng; Xue Jiang; Changping Peng; Zhangang Lin; Jingping Shao (RecSys, 2023)

Pluggable Deep Thompson Sampling with Applications to Recommendation. - Lu Wang 031; Yuhai Song; Zhe Wang; Haoxiang Wang; Yu Li; Weiwei Zhou; Haoming Dang; Mona Shao; Xiwei Zhao; Zhangang Lin; Jinghe Hu; Jingping Shao (SDM, 2023)

LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising. - Lingwei Kong; Lu Wang 031; Xiwei Zhao; Junsheng Jin; Zhangang Lin; Jinghe Hu; Jingping Shao (SIGIR, 2023)

Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction. - Congcong Liu; Fei Teng; Xiwei Zhao; Zhangang Lin; Jinghe Hu; Jingping Shao (SIGIR, 2023)

Confidence Ranking for CTR Prediction. - Jian Zhu; Congcong Liu; Pei Wang 017; Xiwei Zhao; Zhangang Lin; Jingping Shao (WWW (Companion Volume), 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)

Planning and Rendering: Towards End-to-End Product Poster Generation. - Zhaochen Li; Fengheng Li; Wei Feng; Honghe Zhu; An Liu; Yaoyu Li; Zheng Zhang; Jingjing Lv; Xin Zhu; Junjie Shen 008; Zhangang Lin; Jingping Shao; et al. (CoRR, 2023)

Data Contamination Issues in Brain-to-Text Decoding. - Congchi Yin; Qian Yu; Zhiwei Fang; Jie He 005; Changping Peng; Zhangang Lin; Jingping Shao; Piji Li (CoRR, 2023)

Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style. - Haohan Wang; Wei Feng; Yang Lu; Yaoyu Li; Zheng Zhang; Jingjing Lv; Xin Zhu; Junjie Shen 008; Zhangang Lin; Lixing Bo; Jingping Shao (CoRR, 2023)

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. - Zhiguang Yang; Liufang Sang; Haoran Wang; Wenlong Chen; Lu Wang 031; Jie He 005; Changping Peng; Zhangang Lin; Chun Gan; Jingping Shao (AAAI, 2024)

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. - Jian Zhu; Congcong Liu; Xue Jiang; Changping Peng; Zhangang Lin; Jingping Shao (AAAI, 2024)

Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search. - Kun-Peng Ning; Ming Pang; Zheng Fang; Xue Jiang; Xi-Wei Zhao; Changping Peng; Zhangang Lin; Jinghe Hu; Jingping Shao; Li Yuan 007 (CIKM, 2024)

Towards Reliable Advertising Image Generation Using Human Feedback. - Zhenbang Du; Wei Feng; Haohan Wang; Yaoyu Li; Jingsen Wang; Jian Li; Zheng Zhang; Jingjing Lv; Xin Zhu; Junsheng Jin; Junjie Shen 008; Zhangang Lin; et al. (ECCV (20), 2024)

A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce. - Chunyuan Yuan; Ming Pang; Zheng Fang; Xue Jiang; Changping Peng; Zhangang Lin (WWW (Companion Volume), 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)

CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection. - Xi Zhao; Wei Feng; Zheng Zhang; Jingjing Lv; Xin Zhu; Zhangang Lin; Jinghe Hu; Jingping Shao (Int. J. Comput. Vis., 2024)

Generate E-commerce Product Background by Integrating Category Commonality and Personalized Style. - Haohan Wang; Wei Feng; Yaoyu Li; Zheng Zhang; Jingjing Lv; Junjie Shen 008; Zhangang Lin; Jingping Shao (ICASSP, 2025)

ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce. - Zheng Fang; Donghao Xie; Ming Pang; Chunyuan Yuan; Xue Jiang; Changping Peng; Zhangang Lin; Zheng Luo (SIGIR, 2025)

Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising. - Zhenhui Liu; Chunyuan Yuan; Ming Pang; Zheng Fang; Li Yuan 007; Xue Jiang; Changping Peng; Zhangang Lin; Zheng Luo; Jingping Shao (SIGIR, 2025)

Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate Prediction. - Xuan Ma; Hao Peng; Jia Duan; Zhanhao Ye; Langlang Ye; Zehua Zhang; Jie He 005; Changping Peng; Zhangang Lin (SIGIR, 2025)

Post-event Modeling via Causal Optimal Transport for CTR Prediction. - Yizhou Sang; Congcong Liu; Yuying Chen; Zhiwei Fang; Xue Jiang; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao (SIGIR, 2025)

CTR-Driven Advertising Image Generation with Multimodal Large Language Models. - Xingye Chen; Wei Feng; Zhenbang Du; Weizhen Wang; Yanyin Chen; Haohan Wang; Linkai Liu; Yaoyu Li; Jinyuan Zhao; Yu Li; Zheng Zhang; Jingjing Lv; et al. (WWW, 2025)

An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking. - Xuanlin Li; Xiangyu Cai; Hao Peng; Jia Duan; Wei Wang 103; Zehua Zhang; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao (WWW (Companion Volume), 2025)

Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval. - Ming Pang; Chunyuan Yuan; Xiaoyu He; Zheng Fang; Donghao Xie; Fanyi Qu; Xue Jiang; Changping Peng; Zhangang Lin; Zheng Luo; Jingping Shao (WWW (Companion Volume), 2025)

A Semi-supervised Scalable Unified Framework for E-commerce Query Classification. - Chunyuan Yuan; Chong Zhang; Zheng Fang; Ming Pang; Xue Jiang; Changping Peng; Zhangang Lin; Ching Law (CoRR, 2025)

Generative Click-through Rate Prediction with Applications to Search Advertising. - Lingwei Kong; Lu Wang 031; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao (CoRR, 2025)

Generative Modeling with Multi-Instance Reward Learning for E-commerce Creative Optimization. - Qiaolei Gu; Yu Li; DingYi Zeng; Lu Wang 031; Ming Pang; Changping Peng; Zhangang Lin; Ching Law; Jingping Shao (CoRR, 2025)