An Efficient and Robust Routing Protocol for Data Aggregation. - Xiwei Zhao; S. Kami Makki; Niki Pissinou (WASA, 2006)

The Optimization of Location Management. - Xiwei Zhao; Niki Pissinou; S. Kami Makki (CCNC, 2007)

Revisiting Global Time Synchronization. - Xiwei Zhao; Vinayak Ganapathy; Niki Pissinou; Kia Makki (GLOBECOM, 2007)

Self-organized forensic support in MANETs. - Xiwei Zhao; Vinayak Ganapathy; Niki Pissinou; Kia Makki (IPDPS, 2008)

Trend prediction of wear fault of wind generator high-speed gear using a fusion of UICA and PE method. - Xiwei Zhao; Xiaoli Xu 002; Wenxiang Zhao; Zhanglei Jiang; Xiuli Liu (Clust. Comput., 2017)

A Double-CNN BP Decoder on Fast Fading Channels Using Correlation Information. - Jun Li 004; Xiwei Zhao; Jihao Fan; Feng Shu 002; Shi Jin 002; Yuwen Qian (ICCC, 2019)

Category-Specific CNN for Visual-aware CTR Prediction at JD.com. - Hu Liu; Jing Lu; Hao Yang 030; Xiwei Zhao; Sulong Xu; Hao Peng; Zehua Zhang; Wenjie Niu; Xiaokun Zhu; Yongjun Bao; Weipeng Yan (KDD, 2020)

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction. - Hu Liu; Jing Lu; Xiwei Zhao; Sulong Xu; Hao Peng; Yutong Liu; Zehua Zhang; Jian Li; Junsheng Jin; Yongjun Bao; Weipeng Yan (NeurIPS, 2020)

Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems. - Yuhai Song; Lu Wang 031; Haoming Dang; Weiwei Zhou; Jing Guan; Xiwei Zhao; Changping Peng; Yongjun Bao; Jingping Shao (SIGIR, 2021)

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)

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)

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)

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)

Satisfaction-Aware User Interest Network for Click-Through Rate Prediction. - Mao Pan; Wen Shi; Kun Zhou; Zheng Li; Dongyue Wang; Zhuoye Ding; Xiwei Zhao; Sulong Xu (CIKM, 2023)

IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction. - Mao Pan; Tao Yu; Kun Zhou; Zheng Li; Dongyue Wang; Zhuoye Ding; Xiwei Zhao; Sulong Xu (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)

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)

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)

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)

PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction. - Yuanbo Gao; Peng Lin; Dongyue Wang; Feng Mei; Xiwei Zhao; Sulong Xu; Jinghe Hu (WWW (Companion Volume), 2024)

Hierarchical User Long-term Behavior Modeling for Click-Through Rate Prediction. - Mao Pan; Xuanhua Yang; Nan Qiao 011; Dongyue Wang; Feng Mei; Xiwei Zhao; Sulong Xu (SIGIR, 2025)

A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems. - Binglei Zhao; Houying Qi; Guang Xu; Mian Ma; Xiwei Zhao; Feng Mei; Sulong Xu; Jinghe Hu (WWW (Companion Volume), 2025)