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Jian Xu 0015
许俭
Person information
- unicode name: 许俭
- affiliation: Alibaba Group, Beijing, China
- affiliation (former): TouchPal Inc., Shanghai, China
- affiliation (former): Yahoo Inc., Sunnyvale, CA, USA
- affiliation (former): Fudan University, Shanghai, China
Other persons with the same name
- Jian Xu — disambiguation page
- Jian Xu 0001
— Hangzhou Dianzi University, Institute of Computer Application Technology, China (and 1 more)
- Jian Xu 0002
- Jian Xu 0003
- Jian Xu 0004
- Jian Xu 0005
- Jian Xu 0006 — Microsoft Research Asia, Beijing, China
- Jian Xu 0007 — Hubei University for Nationalities, School of Information Engineering, Enshi, China
- Jian Xu 0008
- Jian Xu 0009
- Jian Xu 0010 — Chinese Academy of Sciences, School of Cyber Security, Institute of Information Engineering, Beijing, China
- Jian Xu 0011 — University of Erlangen-Nuremberg, Germany
- Jian Xu 0012 — University of California, San Diego, USA
- Jian Xu 0013
- Jian Xu 0014 — Hong Kong Polytechnic University, Department of Computing
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2020 – today
- 2024
- [c71]Xiang-Rong Sheng
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. CIKM 2024: 4858-4865 - [c70]Haoming Li
Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. KDD 2024: 1565-1575 - [c69]Jiayan Guo
Generative Auto-bidding via Conditional Diffusion Modeling. KDD 2024: 5038-5049 - [c68]Xiaoqiang Gui
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. WSDM 2024: 247-256 - [c67]Yihua Wen
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825 - [c66]Ningyuan Li
Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. WWW 2024: 235-244 - [c65]Haoming Li
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. WWW 2024: 4193-4203 - [i50]Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method. CoRR abs/2402.11904 (2024) - [i49]Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu:
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. CoRR abs/2402.15102 (2024) - [i48]Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng:
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CoRR abs/2403.02607 (2024) - [i47]Xiang-Rong Sheng, Feifan Yang, Litong Gong, Biao Wang, Zhangming Chan, Yujing Zhang, Yueyao Cheng, Yong-Nan Zhu, Tiezheng Ge, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. CoRR abs/2407.19467 (2024) - 2023
- [c64]Shuai Fan
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. CIKM 2023: 514-523 - [c63]Jingyue Gao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CIKM 2023: 4574-4580 - [c62]Zhen Gong
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. CIKM 2023: 4588-4594 - [c61]Jiacen Hu
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. CIKM 2023: 4639-4645 - [c60]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CIKM 2023: 4974-4980 - [c59]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: 2406-2414 - [c58]Yidan Xing
Truthful Auctions for Automated Bidding in Online Advertising. IJCAI 2023: 2915-2922 - [c57]Ningyuan Li
Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. KDD 2023: 1291-1302 - [c56]Guipeng Xv
E-commerce Search via Content Collaborative Graph Neural Network. KDD 2023: 2885-2897 - [c55]Zhangming Chan
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. KDD 2023: 3774-3784 - [c54]Xiang-Rong Sheng
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD 2023: 4813-4822 - [c53]Haoqi Zhang
A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. KDD 2023: 5544-5553 - [c52]Yu Tian
Multi-Scenario Ranking with Adaptive Feature Learning. SIGIR 2023: 517-526 - [i46]Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen:
Designing Ad Auctions with Private Constraints for Automated Bidding. CoRR abs/2301.13020 (2023) - [i45]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. CoRR abs/2305.12837 (2023) - [i44]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CoRR abs/2306.03516 (2023) - [i43]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. CoRR abs/2306.03527 (2023) - [i42]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 abs/2306.16732 (2023) - [i41]Minfang Lu
Robust Representation Learning for Unified Online Top-K Recommendation. CoRR abs/2310.15492 (2023) - [i40]Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng:
Learning against Non-credible Auctions. CoRR abs/2311.15203 (2023) - [i39]Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng:
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. CoRR abs/2312.08727 (2023) - 2022
- [c51]Haoqi Zhang
Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. CIKM 2022: 2539-2548 - [c50]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. CIKM 2022: 3003-3012 - [c49]Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. CIKM 2022: 3352-3360 - [c48]Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. CIKM 2022: 3634-3643 - [c47]Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu
Visual Encoding and Debiasing for CTR Prediction. CIKM 2022: 4615-4619 - [c46]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: 3439-3452 - [c45]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: 2732-2740 - [c44]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: 3429-3437 - [c43]Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng:
Sustainable Online Reinforcement Learning for Auto-bidding. NeurIPS 2022 - [c42]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 - [c41]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS 2022 - [c40]Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. SIGIR 2022: 1802-1806 - [c39]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: 2013-2017 - [c38]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: 2341-2346 - [c37]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, Bo Zheng:
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. WSDM 2022: 1129-1139 - [c36]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. WSDM 2022: 1368-1376 - [c35]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: 32-40 - [c34]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: 369-379 - [i38]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 abs/2201.06814 (2022) - [i37]Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng:
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. CoRR abs/2202.06472 (2022) - [i36]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 abs/2203.07073 (2022) - [i35]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. CoRR abs/2203.14683 (2022) - [i34]Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng:
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. CoRR abs/2203.16218 (2022) - [i33]Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CoRR abs/2205.04168 (2022) - [i32]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 Model. CoRR abs/2205.11048 (2022) - [i31]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 abs/2205.15759 (2022) - [i30]Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. CoRR abs/2206.01022 (2022) - [i29]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. CoRR abs/2208.06164 (2022) - [i28]Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng:
Sustainable Online Reinforcement Learning for Auto-bidding. CoRR abs/2210.07006 (2022) - 2021
- [c33]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: 3563-3567 - [c32]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: 3568-3572 - [c31]Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CIKM 2021: 3976-3985 - [c30]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. ICDM 2021: 749-756 - [c29]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: 2792-2801 - [c28]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: 2899-2909 - [c27]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: 2993-3001 - [c26]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: 3354-3364 - [c25]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: 2036-2040 - [c24]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: 2161-2165 - [c23]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: 993-1001 - [i27]Xun Yang, Yunli Wang, Cheng Chen, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu:
Computation Resource Allocation Solution in Recommender Systems. CoRR abs/2103.02259 (2021) - [i26]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 abs/2105.07706 (2021) - [i25]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 abs/2105.07752 (2021) - [i24]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 abs/2106.03593 (2021) - [i23]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 abs/2106.04075 (2021) - [i22]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 abs/2106.06224 (2021) - [i21]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 abs/2108.11513 (2021) - [i20]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 abs/2109.02471 (2021) - [i19]Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CoRR abs/2111.00926 (2021) - 2020
- [c22]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: 1966-1968 - [c21]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: 2501-2508 - [c20]Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang
Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 2020: 2677-2684 - [c19]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: 4060-4070 - [c18]Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai:
Learning Optimal Tree Models under Beam Search. ICML 2020: 11650-11659 - [c17]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: 3437-3443 - [c16]Chao Deng, Hao Wang, Qing Tan, Jian Xu, Kun Gai:
Calibrating User Response Predictions in Online Advertising. ECML/PKDD (4) 2020: 208-223 - [c15]Jiarui Jin, Yuchen Fang
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR 2020: 29-38 - [i18]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 abs/2004.14714 (2020) - [i17]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 abs/2005.04355 (2020) - [i16]Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai:
Learning Optimal Tree Models Under Beam Search. CoRR abs/2006.15408 (2020) - [i15]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 abs/2006.16312 (2020) - [i14]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 abs/2008.08931 (2020) - [i13]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 abs/2009.01453 (2020) - [i12]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 abs/2011.05625 (2020) - [i11]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 abs/2012.02298 (2020) - [i10]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 abs/2012.02930 (2020)
2010 – 2019
- 2019
- [c14]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: 2527-2535 - [c13]Weixun Wang
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM 2019: 2595-2603 - [c12]Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai:
Bid Optimization by Multivariable Control in Display Advertising. KDD 2019: 1966-1974 - [c11]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: 3973-3982 - [c10]Kan Ren, Jiarui Qin
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [i9]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 abs/1902.07565 (2019) - [i8]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 abs/1905.00758 (2019) - [i7]Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai:
Bid Optimization by Multivariable Control in Display Advertising. CoRR abs/1905.10928 (2019) - [i6]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 abs/1908.06698 (2019) - 2018
- [c9]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: 1443-1451 - [c8]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: 1349-1357 - [i5]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 abs/1806.03514 (2018) - [i4]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 abs/1809.03149 (2018) - [i3]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 abs/1809.03152 (2018) - 2016
- [c7]Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu:
Lift-Based Bidding in Ad Selection. AAAI 2016: 651-657 - [c6]Weinan Zhang, Tianxiong Zhou, Jun Wang, Jian Xu:
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. KDD 2016: 665-674 - 2015
- [c5]Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu:
Smart Pacing for Effective Online Ad Campaign Optimization. KDD 2015: 2217-2226 - [i2]Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu:
Smart Pacing for Effective Online Ad Campaign Optimization. CoRR abs/1506.05851 (2015) - [i1]Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu:
Lift-Based Bidding in Ad Selection. CoRR abs/1507.04811 (2015) - 2013
- [c4]Bin Zhou, Jian Xu:
Privacy Protection in Personalized Web Search: A Peer Group-Based Approach. SBP 2013: 424-432
2000 – 2009
- 2007
- [c3]Jian Pei
Maintaining K-Anonymity against Incremental Updates. SSDBM 2007: 5 - 2006
- [j1]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): 21-30 (2006) - [c2]Jian Xu, Wei Wang, Jian Pei
Utility-based anonymization using local recoding. KDD 2006: 785-790 - 2005
- [c1]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: 529-538
Coauthor Index
Kuang-chih Lee
aka: Kuang-Chih Lee
aka: Kuang-Chih Lee
[c71] [c69] [c68] [c67] [c66] [i50] [i48] [i47] [c64] [c63] [c62] [c61] [c60] [c57] [c56] [c55] [c54] [c53] [c52] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [i38] [i37] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [c33] [c32] [c31] [c28] [c25] [c24] [i26] [i25] [i23] [i21] [i20] [i19]
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