Jian Xu

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 83

Top Topics

Display Advertising

Progressive Sampling

Reinforcement Learning

Joint Optimization

Top Venues

Publications

Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. KDD (2023)
Minfang Lu, Yuchen Jiang, Huihui Dong, Qi Li, Ziru Xu, Yuanlin Liu, Lixia Wu, Haoyuan Hu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
Robust Representation Learning for Unified Online Top-K Recommendation. CoRR (2023)
Haoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng
A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. KDD (2023)
Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CIKM (2023)
Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen
Designing Ad Auctions with Private Constraints for Automated Bidding. CoRR (2023)
Ningyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan, Yurong Chen, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng
Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. KDD (2023)
Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen
Truthful Auctions for Automated Bidding in Online Advertising. IJCAI (2023)
Shuodian Yu, Junqi Jin, Li Ma, Xiaofeng Gao, Xiaopeng Wu, Haiyang Xu, Jian Xu
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation. IJCAI (2023)
Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
E-commerce Search via Content Collaborative Graph Neural Network. KDD (2023)
Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD (2023)
Shuai Fan, Jinping Gou, Yang Li, Jiaxing Bai, Chen Lin, Wanxian Guan, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM (2023)
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR (2023)
Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Haoqi Zhang, Zhenzhe Zheng, Zhilin Zhang, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Fan Wu
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CIKM (2023)
Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li
Multi-Scenario Ranking with Adaptive Feature Learning. CoRR (2023)
Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. CIKM (2023)
Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng
Hierarchically Constrained Adaptive Ad Exposure in Feeds. CoRR (2022)
Da Huo, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu
Learning Optimal Deterministic Auctions with Correlated Valuation Distributions. CoRR (2022)
Chi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing
EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. KDD (2022)
Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
Joint Optimization of Ad Ranking and Creative Selection. SIGIR (2022)
Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng
Pretraining Representations of Multi-modal Multi-query E-commerce Search. KDD (2022)
Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng
Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. SIGIR (2022)
Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. CoRR (2022)
Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. SIGIR (2022)
Chenchen Feng, Yu He, Shiyang Wen, Guojun Liu, Liang Wang, Jian Xu, Bo Zheng
DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. WWW (Companion Volume) (2022)
Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. ICDE (2022)
Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS (2022)
Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
Impression Allocation and Policy Search in Display Advertising. CoRR (2022)
Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. WWW (2022)
Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CIKM (2021)
Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR (2021)
Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. CoRR (2021)
Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. CoRR (2021)
Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
Computation Resource Allocation Solution in Recommender Systems. CoRR (2021)
Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. SIGIR (2021)
Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. KDD (2021)
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. KDD (2021)
Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. KDD (2021)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. WSDM (2021)
Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Binary Code based Hash Embedding for Web-scale Applications. CoRR (2021)
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. SIGIR (2021)
Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Binary Code based Hash Embedding for Web-scale Applications. CIKM (2021)
Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. CoRR (2021)
Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. CoRR (2021)
Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CoRR (2021)
Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
A Unified Solution to Constrained Bidding in Online Display Advertising. KDD (2021)
Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM (2021)
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. CoRR (2021)
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
Learning Optimal Tree Models Under Beam Search. CoRR (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR (2020)
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR (2020)
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CoRR (2020)
Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai
Calibrating User Response Predictions in Online Advertising. ECML/PKDD (4) (2020)
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML (2020)
Guorui Zhou, Weijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Na Mou, Xinchen Luo, Chi Zhang, Xianjie Qiao, Shiming Xiang, Kun Gai, Xiaoqiang Zhu, Jian Xu
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. CoRR (2020)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. CoRR (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Learning to Infer User Hidden States for Online Sequential Advertising. CoRR (2020)
Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. CIKM (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS (2020)
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
Learning Optimal Tree Models under Beam Search. ICML (2020)
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM (2020)
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI (2020)
Chao Du, Yifan Zeng, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Xiaoqiang Zhu, Jian Xu, Kun Gai
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. CoRR (2020)
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR (2020)
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CIKM (2019)
Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR (2019)
Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR (2019)
Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai
Bid Optimization by Multivariable Control in Display Advertising. KDD (2019)
Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai
Bid Optimization by Multivariable Control in Display Advertising. CoRR (2019)
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM (2019)
Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. CoRR (2019)
Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. CoRR (2019)
Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. NeurIPS (2019)
Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. CIKM (2018)
Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising. CoRR (2018)
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. CoRR (2018)
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. WWW (2018)
Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR (2018)
Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu
Lift-Based Bidding in Ad Selection. AAAI (2016)
Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. KDD (2016)
Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu
Smart Pacing for Effective Online Ad Campaign Optimization. CoRR (2015)
Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu
Lift-Based Bidding in Ad Selection. CoRR (2015)
Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu
Smart Pacing for Effective Online Ad Campaign Optimization. KDD (2015)
Bin Zhou, Jian Xu
Privacy Protection in Personalized Web Search: A Peer Group-Based Approach. SBP (2013)
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang
Maintaining K-Anonymity against Incremental Updates. SSDBM (2007)
Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu
Utility-based anonymization using local recoding. KDD (2006)
Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu
Utility-based anonymization for privacy preservation with less information loss. SIGKDD Explor. 8 (2) (2006)
Tianyi Wu, Jian Xu, Chen Wang, Wei Wang, Baile Shi
ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes. PAKDD (2005)