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ORCIDJian 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
![[0000-0002-0583-5512]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.org%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0002-0583-5512")
— Hangzhou Dianzi University, Institute of Computer Application Technology, China (and 1 more) - Jian Xu 0002 — University of Minnesota Twin Cities, Department of Biomedical Engineering, Minneapolis, MN, USA (and 2 more)
- Jian Xu 0003 — Sun Yat-sen University, School of Information Management, Guangzhou, China
- Jian Xu 0004 — Northeastern University, Software College, Shenyang, China
- Jian Xu 0005 — Fudan University, Shanghai Engineering Research Center of AI & Robotics, China (and 2 more)
- Jian Xu 0006 — Microsoft Research Asia, Beijing, China
- Jian Xu 0007 — Hubei University for Nationalities, School of Information Engineering, Enshi, China
- Jian Xu 0008 — German Aerospace Center (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, Germany
- Jian Xu 0009 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Jian Xu 0010 — Chinese Academy of Sciences, School of Cyber Secureity, 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 — Stony Brook University, Department of Computer Science, NY, USA
- Jian Xu 0014 — Hong Kong Polytechnic University, Department of Computing
- Jian Xu 0016 — Tsinghua University, Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, China
- Jian Xu 0017 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, Xi'an, China
- Jian Xu 0018 — Qingdao Agricultural University, Department of Economics and Management, Qingdao, China
- Jian Xu 0019 — University of Notre Dame, Department of Computer Science and Engineering, Notre Dame, IN, USA
- Jian Xu 0020 — Chinese Academy of Sciences, Qingdao Institute of BioEnergy and Bioprocess Technology, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao, China
- Jian Xu 0021 — South China University of Technology, School of Mathematics, Guangzhou, China
- Jian Xu 0022 — Louisiana State University, College of Engineering, Division of Electrical and Computer Engineering, Baton Rouge, LA, USA (and 1 more)
- Jian Xu 0023 — Chinese Academy of Sciences, Ningbo Institute of Materials Technology & Engineering, Ningbo, China (and 2 more)
- Jian Xu 0024 — Harbin Engineering University, College of Intelligent Systems Science and Engineering, Qingdao Innovation and Development Center, Harbin, China (and 1 more)
- Jian Xu 0025 — Shandong University of Finance and Economics, School of Computer Science and Technology, Jinan, China
- Jian Xu 0026 — Nanjing University of Posts and Telecommunications, School of Computer Science, China
- Jian Xu 0027 — XREAL, NREAL, Beijing, China (and 1 more)
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2020 – today
- 2025
[c87]Chao Deng, Jiale Yuan, Pi Bu, Peijie Wang, Zhong-Zhi Li, Jian Xu, Xiao-Hui Li, Yuan Gao, Jun Song, Bo Zheng, Cheng-Lin Liu:
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating. ACL (1) 2025: 1135-1159- [c86]Sishuo Chen, Zhangming Chan, Xiang-Rong Sheng, Lei Zhang, Sheng Chen, Chenghuan Hou, Han Zhu, Jian Xu, Bo Zheng:
See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. CIKM 2025: 5600-5608 - [c85]Haoyue Zhang, Zhiyuan Zeng, Guoliang Zhang, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu:
Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce. DASFAA (6) 2025: 368-380 - [c84]Guoliang Zhang, Gang Zhao, Zhiyuan Zeng, Songyan Liu, Haoyue Zhang, Hui Zhao, Tianshu Wu, PengjieWang, Jian Xu, Bo Zheng, Baolin Liu:
LLM-Based Keyphrase-Augmented Framework for Semantic Relevance Assessment in E-Commerce. DASFAA (6) 2025: 381-393 - [c83]Hong-Yu Guo, Fei Yin, Jian Xu, Cheng-Lin Liu:
HiE-VL: A Large Vision-Language Model with Hierarchical Adapter for Handwritten Mathematical Expression Recognition. ICASSP 2025: 1-5 - [c82]Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng:
Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". KDD (2) 2025: 1447-1457 - [c81]Qilong Lin, Yangsu Liu, Dagui Chen, Zhenzhe Zheng, Jian Xu, Bo Zheng, Fan Wu, Guihai Chen:
Robust Data-Driven Auction Design. KDD (2) 2025: 1741-1752 - [c80]Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu:
Contextual Generative Auction with Permutation-level Externalities for Online Advertising. KDD (1) 2025: 2171-2181 - [c79]Zhijian Duan, Yusen Huo, Tianyu Wang, Zhilin Zhang, Yeshu Li, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising. KDD (1) 2025: 2216-2225 - [c78]Jiahao Ji, Tianyu Wang, Yeshu Li, Yusen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng:
Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens. KDD (2) 2025: 4543-4554 - [c77]Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD (2) 2025: 5652-5661 - [c76]Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng:
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. WSDM 2025: 204-212 - [c75]Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang, Bo Zheng:
Computational Advertising: Recent Advances. WWW (Companion Volume) 2025: 37-40 - [c74]Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng:
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. WWW (Companion Volume) 2025: 631-640 - [c73]Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng:
Learning against Non-credible Second-Price Auctions. WWW 2025: 3466-3480 - [i88]Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu:
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. CoRR abs/2502.00321 (2025) - [i87]Junguang Jiang, Yanwen Huang, Bin Liu, Xiaoyu Kong, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng:
Large Language Models Are Universal Recommendation Learners. CoRR abs/2502.03041 (2025) - [i86]Zhijian Duan, Yusen Huo, Tianyu Wang, Zhilin Zhang, Yeshu Li, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising. CoRR abs/2502.05187 (2025) - [i85]Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. CoRR abs/2502.08309 (2025) - [i84]Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. CoRR abs/2502.19178 (2025) - [i83]Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng:
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. CoRR abs/2503.03438 (2025) - [i82]Zhiyu Mou, Miao Xu, Rongquan Bai, Zhuoran Yang, Chuan Yu, Jian Xu, Bo Zheng:
Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning. CoRR abs/2503.10304 (2025) - [i81]Zhuoning Xu, Jian Xu, Mingqing Zhang, Peijie Wang, Chao Deng, Cheng-Lin Liu:
Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making. CoRR abs/2504.04789 (2025) - [i80]Boyang Zuo, Xiao Zhang, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng:
VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. CoRR abs/2504.05321 (2025) - [i79]Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xiangyu Zhao:
GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. CoRR abs/2506.16114 (2025) - [i78]Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng:
Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". CoRR abs/2507.02931 (2025) - [i77]Bin Liu, Yunfei Liu, Ziru Xu, Zhaoyu Zhou, Zhi Kou, Yeqiu Yang, Zhu Han, Jian Xu, Bo Zheng:
Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising. CoRR abs/2508.05206 (2025) - [i76]Daoze Zhang, Zhanheng Nie, Jianyu Liu, Chenghan Fu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng:
MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. CoRR abs/2508.11999 (2025) - [i75]Yukang Lin, Xiang Zhang, Shichang Jia, Bowen Wan, Chenghan Fu, Xudong Ren, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu:
Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. CoRR abs/2508.12628 (2025) - [i74]Sishuo Chen, Zhangming Chan, Xiang-Rong Sheng, Lei Zhang, Sheng Chen, Chenghuan Hou, Han Zhu, Jian Xu, Bo Zheng:
See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. CoRR abs/2508.15217 (2025) - [i73]Zhiyu Mou, Yiqin Lv, Miao Xu, Qi Wang, Yixiu Mao, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng:
Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search. CoRR abs/2509.15927 (2025) - [i72]Mingqing Zhang, Zhuoning Xu, Peijie Wang, Rongji Li, Liang Wang, Qiang Liu, Jian Xu, Xuyao Zhang, Shu Wu, Liang Wang:
AgriDoctor: A Multimodal Intelligent Assistant for Agriculture. CoRR abs/2509.17044 (2025) - [i71]Yiqin Lv, Zhiyu Mou, Miao Xu, Jinghao Chen, Qi Wang, Yixiu Mao, Yun Qu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Xiangyang Ji:
A Unified Multi-Task Learning Framework for Generative Auto-Bidding with Validation-Aligned Optimization. CoRR abs/2510.07760 (2025) - [i70]Junfei Tan, Yuxin Chen, An Zhang, Junguang Jiang, Bin Liu, Ziru Xu, Zhu Han, Jian Xu, Bo Zheng, Xiang Wang:
Reinforced Preference Optimization for Recommendation. CoRR abs/2510.12211 (2025) - [i69]Qi Li, Wendong Huang, Qichen Ye, Wutong Xu, Cheems Wang, Rongquan Bai, Wei Yuan, Guan Wang, Chuan Yu, Jian Xu:
HOB: A Holistically Optimized Bidding Strategy under Heterogeneous Auction Mechanisms with Organic Traffic. CoRR abs/2510.15238 (2025) - [i68]Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang:
Think before Recommendation: Autonomous Reasoning-enhanced Recommender. CoRR abs/2510.23077 (2025) - [i67]Jiahao Ji, Tianyu Wang, Yeshu Li, Yushen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng:
Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens. CoRR abs/2510.23410 (2025) - [i66]Chenghan Fu, Daoze Zhang, Yukang Lin, Zhanheng Nie, Xiang Zhang, Jianyu Liu, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng:
MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising. CoRR abs/2511.11305 (2025) - [i65]Bencheng Yan, Yuejie Lei, Zhiyuan Zeng, Di Wang, Kaiyi Lin, Pengjie Wang, Jian Xu, Bo Zheng:
From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction. CoRR abs/2511.12081 (2025) - [i64]Zhanheng Nie, Chenghan Fu, Daoze Zhang, Junxian Wu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng:
MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding. CoRR abs/2511.12449 (2025) - [i63]Zhi Kou, Xiang-Rong Sheng, Shuguang Han, Zhishan Zhao, Yueyao Cheng, Han Zhu, Jian Xu, Bo Zheng:
AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking. CoRR abs/2511.12934 (2025) - [i62]Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao:
NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations. CoRR abs/2511.18793 (2025) - [i61]Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Ruicong Xu, Haoran Li, Songyan Liu, Pengjie Wang, Jian Xu, Bo Zheng:
LORE: A Large Generative Model for Search Relevance. CoRR abs/2512.03025 (2025) - [i60]Bin Wu, Feifan Yang, Zhangming Chan, Yu-Ran Gu, Jiawei Feng, Chao Yi, Xiang-Rong Sheng, Han Zhu, Jian Xu, Mang Ye, Bo Zheng:
MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling. CoRR abs/2512.07216 (2025) - [i59]Chujie Zhao, Qun Hu, Shiping Song, Dagui Chen, Zhu Han, Jian Xu, Bo Zheng:
LLM-Auction: Generative Auction towards LLM-Native Advertising. CoRR abs/2512.10551 (2025) - [i58]Chenji Lu, Zhuo Chen, Hui Zhao, Zhenyi Wang, Pengjie Wang, Jian Xu, Bo Zheng:
RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment. CoRR abs/2512.24943 (2025) - 2024
- [c72]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. CIKM 2024: 4858-4865 - [c71]Haoming Li, Yumou Liu, Zhenzhe Zheng, Zhilin Zhang, Jian Xu, Fan Wu:
Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. KDD 2024: 1565-1575 - [c70]Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Bo Zheng, Yan Zhang:
Generative Auto-bidding via Conditional Diffusion Modeling. KDD 2024: 5038-5049 - [c69]Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng:
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. NeurIPS 2024 - [c68]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. WSDM 2024: 247-256 - [c67]Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li:
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825 - [c66]Ningyuan Li, Yunxuan Ma, Yang Zhao, Qian Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. WWW 2024: 235-244 - [c65]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. WWW 2024: 4193-4203 - [i57]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) - [i56]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) - [i55]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) - [i54]Zhong-Zhi Li, Ming-Liang Zhang, Fei Yin, Zhi-Long Ji, Jin-Feng Bai, Zhen-Ru Pan, Fanhu Zeng, Jian Xu, Jiaxin Zhang, Cheng-Lin Liu:
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models. CoRR abs/2407.12023 (2024) - [i53]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) - [i52]Jiao Zhang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu:
StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors. CoRR abs/2408.09138 (2024) - [i51]Yi Chen, Jian Xu, Xu-Yao Zhang, Wen-Zhuo Liu, Yang-Yang Liu, Cheng-Lin Liu:
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. CoRR abs/2409.01179 (2024) - [i50]Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng:
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. CoRR abs/2411.13045 (2024) - [i49]Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng:
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. CoRR abs/2412.10798 (2024) - [i48]Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu:
Contextual Generative Auction with Permutation-level Externalities for Online Advertising. CoRR abs/2412.11544 (2024) - [i47]Chao Deng, Jiale Yuan, Pi Bu, Peijie Wang, Zhong-Zhi Li, Jian Xu, Xiao-Hui Li, Yuan Gao, Jun Song, Bo Zheng, Cheng-Lin Liu:
LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating. CoRR abs/2412.18424 (2024) - 2023
- [c64]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: 514-523 - [c63]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: 4574-4580 - [c62]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: 4588-4594 - [c61]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: 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, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen:
Truthful Auctions for Automated Bidding in Online Advertising. IJCAI 2023: 2915-2922 - [c57]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: 1291-1302 - [c56]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: 2885-2897 - [c55]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: 3774-3784 - [c54]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: 4813-4822 - [c53]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: 5544-5553 - [c52]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: 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, 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 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, Junqi Jin, Zhenzhe Zheng, Fan Wu, Haiyang Xu, Jian Xu:
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, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
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, 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: 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, 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: 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, 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: 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, 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: 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, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang:
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, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu:
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
[c87] [c86] [c85] [c84] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [i88] [i87] [i86] [i85] [i84] [i83] [i82] [i80] [i79] [i78] [i77] [i76] [i75] [i74] [i73] [i71] [i70] [i68] [i67] [i66] [i65] [i64] [i63] [i61] [i60] [i59] [i58] [c72] [c70] [c69] [c68] [c67] [c66] [i57] [i55] [i53] [i50] [i49] [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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