ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes. - Tianyi Wu; Jian Xu 015; Chen Wang 035; Wei Wang 009; Baile Shi (PAKDD, 2005)

Utility-based anonymization using local recoding. - Jian Xu 015; Wei Wang 009; Jian Pei 001; Xiaoyuan Wang; Baile Shi; Ada Wai-Chee Fu (KDD, 2006)

Utility-based anonymization for privacy preservation with less information loss. - Jian Xu 015; Wei Wang 009; Jian Pei 001; Xiaoyuan Wang; Baile Shi; Ada Wai-Chee Fu (SIGKDD Explor., 2006)

Maintaining K-Anonymity against Incremental Updates. - Jian Pei 001; Jian Xu 015; Zhibin Wang; Wei Wang 009; Ke Wang 001 (SSDBM, 2007)

Privacy Protection in Personalized Web Search: A Peer Group-Based Approach. - Bin Zhou 002; Jian Xu 015 (SBP, 2013)

Smart Pacing for Effective Online Ad Campaign Optimization. - Jian Xu 015; Kuang-chih Lee; Wentong Li; Hang Qi; Quan Lu (KDD, 2015)

Lift-Based Bidding in Ad Selection. - Jian Xu 015; Xuhui Shao; Jianjie Ma; Kuang-chih Lee; Hang Qi; Quan Lu (AAAI, 2016)

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. - Weinan Zhang 001; Tianxiong Zhou; Jun Wang 012; Jian Xu 015 (KDD, 2016)

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising. - Di Wu 035; Xiujun Chen; Xun Yang 004; Hao Wang 003; Qing Tan; Xiaoxun Zhang; Jian Xu 015; Kun Gai (CIKM, 2018)

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. - Junwei Pan; Jian Xu 015; Alfonso Lobos Ruiz; Wenliang Zhao; Shengjun Pan; Yu Sun; Quan Lu (WWW, 2018)

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CoRR, 2018)

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising. - Di Wu 035; Cheng Chen; Xun Yang 004; Xiujun Chen; Qing Tan; Jian Xu 015; Kun Gai (CoRR, 2018)

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. - Dagui Chen; Junqi Jin; Weinan Zhang 001; Fei Pan; Lvyin Niu; Chuan Yu; Jun Wang 012; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

Learning Adaptive Display Exposure for Real-Time Advertising. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Xiaotian Hao; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

Bid Optimization by Multivariable Control in Display Advertising. - Xun Yang 004; Yasong Li; Hao Wang 003; Di Wu 035; Qing Tan; Jian Xu 015; Kun Gai (KDD, 2019)

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. - Han Zhu 001; Daqing Chang; Ziru Xu; Pengye Zhang; Xiang Li; Jie He 005; Han Li 005; Jian Xu 015; Kun Gai (NeurIPS, 2019)

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. - Kan Ren; Jiarui Qin; Yuchen Fang; Weinan Zhang 001; Lei Zheng; Weijie Bian; Guorui Zhou; Jian Xu 015; Yong Yu 001; Xiaoqiang Zhu; Kun Gai (SIGIR, 2019)

Sequential Advertising Agent with Interpretable User Hidden Intents. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; Jian Xu 015; et al. (AAMAS, 2020)

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. - Liyi Guo; Rui Lu; Haoqi Zhang; Junqi Jin; Zhenzhe Zheng; Fan Wu 006; Jin Li; Haiyang Xu; Han Li 005; Wenkai Lu; Jian Xu 015; Kun Gai (CIKM, 2020)

Learning to Infer User Hidden States for Online Sequential Advertising. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Haiyang Xu; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; et al. (CIKM, 2020)

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. - Xiaotian Hao; Zhaoqing Peng; Yi Ma 005; Guan Wang; Junqi Jin; Jianye Hao; Shan Chen; Rongquan Bai; Mingzhou Xie; Miao Xu; Zhenzhe Zheng; Chuan Yu; et al. (ICML, 2020)

Learning Optimal Tree Models under Beam Search. - Jingwei Zhuo; Ziru Xu; Wei Dai; Han Zhu 001; Han Li 005; Jian Xu 015; Kun Gai (ICML, 2020)

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. - Xiaotian Hao; Junqi Jin; Jianye Hao; Jin Li; Weixun Wang; Yi Ma 005; Zhenzhe Zheng; Han Li 005; Jian Xu 015; Kun Gai (IJCAI, 2020)

Calibrating User Response Predictions in Online Advertising. - Chao Deng; Hao Wang 003; Qing Tan; Jian Xu 015; Kun Gai (ECML/PKDD (4), 2020)

A Deep Recurrent Survival Model for Unbiased Ranking. - Jiarui Jin; Yuchen Fang; Weinan Zhang 001; Kan Ren; Guorui Zhou; Jian Xu 015; Yong Yu 001; Jun Wang 012; Xiaoqiang Zhu; Kun Gai (SIGIR, 2020)

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction. - 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; et al. (CoRR, 2020)

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Chao Du; Yifan Zeng; Zhifeng Gao; Shuo Yuan; Lining Gao; Ziyan Li; Xiaoqiang Zhu; Jian Xu 015; Kun Gai (CoRR, 2020)

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. - Zongtao Liu; Bin Ma 001; Quan Liu 008; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Binary Code based Hash Embedding for Web-scale Applications. - Bencheng Yan; Pengjie Wang 002; Jinquan Liu; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

Impression Allocation and Policy Search in Display Advertising. - Di Wu 035; Cheng Chen; Xiujun Chen; Junwei Pan; Xun Yang 004; Qing Tan; Jian Xu 015; Kuang-Chih Lee (ICDM, 2021)

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning. - Chao Du; Zhifeng Gao; Shuo Yuan; Lining Gao; Ziyan Li; Yifan Zeng; Xiaoqiang Zhu; Jian Xu 015; Kun Gai; Kuang-Chih Lee (KDD, 2021)

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. - Ziyu Guan; Hongchang Wu; Qingyu Cao; Hao Liu; Wei Zhao 019; Sheng Li; Cai Xu; Guang Qiu; Jian Xu 015; Bo Zheng 007 (KDD, 2021)

A Unified Solution to Constrained Bidding in Online Display Advertising. - Yue He; Xiujun Chen; Di Wu 035; Junwei Pan; Qing Tan; Chuan Yu; Jian Xu 015; Xiaoqiang Zhu (KDD, 2021)

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. - Xiangyu Liu; Chuan Yu; Zhilin Zhang 003; Zhenzhe Zheng; Yu Rong; Hongtao Lv; Da Huo 002; Yiqing Wang; Dagui Chen; Jian Xu 015; Fan Wu 006; Guihai Chen; et al. (KDD, 2021)

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. - Feng Li; Bencheng Yan; Qingqing Long; Pengjie Wang 002; Wei Lin 016; Jian Xu 015; Bo Zheng 007 (SIGIR, 2021)

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. - Xu Ma; Pengjie Wang 002; Hui Zhao; Shaoguo Liu; Chuhan Zhao; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (SIGIR, 2021)

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. - Zhilin Zhang 003; Xiangyu Liu; Zhenzhe Zheng; Chenrui Zhang; Miao Xu; Junwei Pan; Chuan Yu; Fan Wu 006; Jian Xu 015; Kun Gai (WSDM, 2021)

Computation Resource Allocation Solution in Recommender Systems. - Xun Yang 004; Yunli Wang; Cheng Chen; Qing Tan; Chuan Yu; Jian Xu 015; Xiaoqiang Zhu (CoRR, 2021)

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. - Chao Wen; Miao Xu; Zhilin Zhang 003; Zhenzhe Zheng; Yuhui Wang 004; Xiangyu Liu; Yu Rong; Dong Xie; Xiaoyang Tan; Chuan Yu; Jian Xu 015; Fan Wu 006; et al. (CoRR, 2021)

Hierarchically Constrained Adaptive Ad Exposure in Feeds. - Dagui Chen; Qi Yan; Chunjie Chen 004; Zhenzhe Zheng; Yangsu Liu; Zhenjia Ma; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. - Yucheng Lu; Qiang Ji; Liang Wang 001; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Visual Encoding and Debiasing for CTR Prediction. - Guipeng Xv; Si Chen 010; Chen Lin 001; Wanxian Guan; Xingyuan Bu; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce. - Zhiyuan Zeng; Yuzhi Huang; Tianshu Wu; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2022)

Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee. - Haoqi Zhang; Junqi Jin; Zhenzhe Zheng; Fan Wu 006; Haiyang Xu; Jian Xu 015 (CIKM, 2022)

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. - Zhirong Xu; Shiyang Wen; Junshan Wang; Guojun Liu; Liang Wang 001; Zhi Yang 001; Lei Ding; Yan Zhang 117; Di Zhang; Jian Xu 015; Bo Zheng 007 (ICDE, 2022)

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search. - Chi Chen; Hui Chen; Kangzhi Zhao; Junsheng Zhou; Li He; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Yong Zhang 002; Chunxiao Xing (KDD, 2022)

Pretraining Representations of Multi-modal Multi-query E-commerce Search. - Xinyi Liu; Wanxian Guan; Lianyun Li; Hui Li 057; Chen Lin 001; Xubin Li; Si Chen 010; Jian Xu 015; Hongbo Deng; Bo Zheng 007 (KDD, 2022)

Sustainable Online Reinforcement Learning for Auto-bidding. - Zhiyu Mou; Yusen Huo; Rongquan Bai; Mingzhou Xie; Chuan Yu; Jian Xu 015; Bo Zheng 007 (NeurIPS, 2022)

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. - Wenbo Su; Yuanxing Zhang; Yufeng Cai; Kaixu Ren; Pengjie Wang 002; Huimin Yi; Yue Song; Jing Chen; Hongbo Deng; Jian Xu 015; Lin Qu; Bo Zheng 007 (NeurIPS, 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (NeurIPS, 2022)

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. - Mingyuan Cheng; Xinru Liao; Quan Liu 008; Bin Ma 001; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. - Pengyang Li; Rong Chen; Quan Liu 008; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Joint Optimization of Ad Ranking and Creative Selection. - Kaiyi Lin; Xiang Zhang 001; Feng Li; Pengjie Wang 002; Qingqing Long; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. - Chao Wen; Miao Xu; Zhilin Zhang 003; Zhenzhe Zheng; Yuhui Wang 004; Xiangyu Liu; Yu Rong; Dong Xie; Xiaoyang Tan; Chuan Yu; Jian Xu 015; Fan Wu 006; et al. (WSDM, 2022)

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. - Qianqian Zhang; Xinru Liao; Quan Liu 008; Jian Xu 015; Bo Zheng 007 (WSDM, 2022)

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. - Yu Chen; Jiaqi Jin; Hui Zhao; Pengjie Wang 002; Guojun Liu; Jian Xu 015; Bo Zheng 007 (WWW, 2022)

DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. - Chenchen Feng; Yu He; Shiyang Wen; Guojun Liu; Liang Wang 001; Jian Xu 015; Bo Zheng 007 (WWW (Companion Volume), 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Jian Xu 015; Bo Zheng 007 (CoRR, 2022)

Visual Encoding and Debiasing for CTR Prediction. - Si Chen 010; Chen Lin 001; Wanxian Guan; Jiayi Wei; Xingyuan Bu; He Guo 006; Hui Li 057; Xubin Li; Jian Xu 015; Bo Zheng 007 (CoRR, 2022)

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. - Wenbo Su; Yuanxing Zhang; Yufeng Cai; Kaixu Ren; Pengjie Wang 002; Huimin Yi; Yue Song; Jing Chen; Hongbo Deng; Jian Xu 015; Lin Qu; Bo Zheng 007 (CoRR, 2022)

BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network. - Shuai Fan 007; Jinping Gou; Yang Li 213; Jiaxing Bai; Chen Lin 001; Wanxian Guan; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. - Jingyue Gao; Shuguang Han; Han Zhu 001; Siran Yang; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising. - Zhen Gong; Lvyin Niu; Yang Zhao 039; Miao Xu; Haoqi Zhang; Zhenzhe Zheng; Zhilin Zhang 003; Rongquan Bai; Chuan Yu; Jian Xu 015; Bo Zheng 007; Fan Wu 006 (CIKM, 2023)

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. - Jiacen Hu; Zhangming Chan; Yu Zhang 176; Shuguang Han; Siyuan Lou; Baolin Liu 001; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

COPR: Consistency-Oriented Pre-Ranking for Online Advertising. - Zhishan Zhao; Jingyue Gao; Yu Zhang 176; Shuguang Han; Siyuan Lou; Xiang-Rong Sheng; Zhe Wang; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Truthful Auctions for Automated Bidding in Online Advertising. - Yidan Xing 001; Zhilin Zhang 003; Zhenzhe Zheng; Chuan Yu; Jian Xu 015; Fan Wu 006; Guihai Chen (IJCAI, 2023)

Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation. - Shuodian Yu; Junqi Jin; Li Ma 012; Xiaofeng Gao 001; Xiaopeng Wu; Haiyang Xu; Jian Xu 015 (IJCAI, 2023)

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. - Zhangming Chan; Yu Zhang 176; Shuguang Han; Yong Bai; Xiang-Rong Sheng; Siyuan Lou; Jiacen Hu; Baolin Liu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Zhijian Duan 001; Yurong Chen 002; Zhilin Zhang 003; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD, 2023)

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. - Xiang-Rong Sheng; Jingyue Gao; Yueyao Cheng; Siran Yang; Shuguang Han; Hongbo Deng; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

E-commerce Search via Content Collaborative Graph Neural Network. - Guipeng Xv; Chen Lin 001; Wanxian Guan; Jinping Gou; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising. - Haoqi Zhang; Lvyin Niu; Zhenzhe Zheng; Zhilin Zhang 003; Shan Gu; Fan Wu 006; Chuan Yu; Jian Xu 015; Guihai Chen; Bo Zheng 007 (KDD, 2023)

Multi-Scenario Ranking with Adaptive Feature Learning. - Yu Tian; Bofang Li; Si Chen 010; Xubin Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Qian Wang 002; Chenliang Li (SIGIR, 2023)

Designing Ad Auctions with Private Constraints for Automated Bidding. - Yidan Xing 001; Zhilin Zhang 003; Zhenzhe Zheng; Chuan Yu; Jian Xu 015; Fan Wu 006; Guihai Chen (CoRR, 2023)

Robust Representation Learning for Unified Online Top-K Recommendation. - Minfang Lu; Yuchen Jiang; Huihui Dong; Qi Li; Ziru Xu; Yuanlin Liu; Lixia Wu; Haoyuan Hu; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Learning against Non-credible Auctions. - Qian Wang 025; Xuanzhi Xia; Zongjun Yang; Xiaotie Deng; Yuqing Kong; Zhilin Zhang 003; Liang Wang 001; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. - Xiang-Rong Sheng; Feifan Yang; Litong Gong; Biao Wang; Zhangming Chan; Yujing Zhang; Yueyao Cheng; Yong-Nan Zhu; Tiezheng Ge; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; et al. (CIKM, 2024)

Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. - Haoming Li 017; Yumou Liu; Zhenzhe Zheng; Zhilin Zhang 003; Jian Xu 015; Fan Wu 006 (KDD, 2024)

Generative Auto-bidding via Conditional Diffusion Modeling. - Jiayan Guo; Yusen Huo; Zhilin Zhang 003; Tianyu Wang; Chuan Yu; Jian Xu 015; Bo Zheng 007; Yan Zhang 117 (KDD, 2024)

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. - Kefan Su; Yusen Huo; Zhilin Zhang 003; Shuai Dou; Chuan Yu; Jian Xu 015; Zongqing Lu 002; Bo Zheng 007 (NeurIPS, 2024)

Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. - Xiaoqiang Gui; Yueyao Cheng; Xiang-Rong Sheng; Yunfeng Zhao; Guoxian Yu; Shuguang Han; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (WSDM, 2024)

Unified Visual Preference Learning for User Intent Understanding. - Yihua Wen; Si Chen 010; Yu Tian; Wanxian Guan; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007; Zihao Li 005; Lixin Zou; Chenliang Li (WSDM, 2024)

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. - Haoming Li 017; Yusen Huo; Shuai Dou; Zhenzhe Zheng; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Fan Wu 006 (WWW, 2024)

Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. - Ningyuan Li 001; Yunxuan Ma; Yang Zhao 039; Qian Wang 025; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (WWW, 2024)

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method. - Zhijian Duan 001; Haoran Sun; Yichong Xia; Siqiang Wang; Zhilin Zhang 003; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (CoRR, 2024)

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models. - Zhong-Zhi Li; Ming-Liang Zhang 005; Fei Yin; Zhi-Long Ji; Jin-Feng Bai; Zhen-Ru Pan; Fanhu Zeng; Jian Xu 015; Jiaxin Zhang 024; Cheng-Lin Liu 001 (CoRR, 2024)

StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors. - Jiao Zhang; Jian Xu 015; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. - Yi Chen; Jian Xu 015; Xu-Yao Zhang; Wen-Zhuo Liu; Yang-Yang Liu; Cheng-Lin Liu 001 (CoRR, 2024)

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating. - Chao Deng; Jiale Yuan; Pi Bu; Peijie Wang; Zhong-Zhi Li; Jian Xu 015; Xiao-Hui Li; Yuan Gao; Jun Song; Bo Zheng 007; Cheng-Lin Liu 001 (ACL (1), 2025)

HiE-VL: A Large Vision-Language Model with Hierarchical Adapter for Handwritten Mathematical Expression Recognition. - Hong-Yu Guo; Fei Yin; Jian Xu 015; Cheng-Lin Liu 001 (ICASSP, 2025)

An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising. - Zhijian Duan 001; Yusen Huo; Tianyu Wang; Zhilin Zhang 003; Yeshu Li; Chuan Yu; Jian Xu 015; Bo Zheng 007; Xiaotie Deng (KDD (1), 2025)

Contextual Generative Auction with Permutation-level Externalities for Online Advertising. - Ruitao Zhu; Yangsu Liu; Dagui Chen; Zhenjia Ma; Chufeng Shi; Zhenzhe Zheng; Jie Zhang 078; Jian Xu 015; Bo Zheng 007; Fan Wu 006 (KDD (1), 2025)

Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. - Shijie Zhu; Hui Zhao; Tianshu Wu; Pengjie Wang 002; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (WSDM, 2025)

Learning against Non-credible Second-Price Auctions. - Qian Wang 025; Xuanzhi Xia; Zongjun Yang; Xiaotie Deng; Yuqing Kong; Zhilin Zhang 003; Liang Wang 001; Chuan Yu; Jian Xu 015; Bo Zheng 007 (WWW, 2025)

Computational Advertising: Recent Advances. - Junwei Pan; Zhilin Zhang 003; Han Zhu 001; Jian Xu 015; Jie Jiang 015; Bo Zheng 007 (WWW (Companion Volume), 2025)

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. - Gang Zhao; Ximing Zhang; Chenji Lu; Hui Zhao; Tianshu Wu; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (WWW (Companion Volume), 2025)

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. - Bencheng Yan; Si Chen 010; Shichang Jia; Jianyu Liu; Yueran Liu; Chenghan Fu; Wanxian Guan; Hui Zhao; Xiang Zhang 001; Kai Zhang 001; Wenbo Su; Pengjie Wang 002; et al. (CoRR, 2025)

Large Language Models Are Universal Recommendation Learners. - Junguang Jiang; Yanwen Huang; Bin Liu; Xiaoyu Kong; Ziru Xu; Han Zhu 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. - Bencheng Yan; Shilei Liu; Zhiyuan Zeng; Zihao Wang; Yizhen Zhang; Yujin Yuan; Langming Liu; Jiaqi Liu; Di Wang; Wenbo Su; Pengjie Wang 002; Jian Xu 015; et al. (CoRR, 2025)

UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. - Langming Liu; Shilei Liu; Yujin Yuan; Yizhen Zhang; Bencheng Yan; Zhiyuan Zeng; Zihao Wang; Jiaqi Liu; Di Wang; Wenbo Su; Pengjie Wang 002; Jian Xu 015; et al. (CoRR, 2025)

Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning. - Zhiyu Mou; Miao Xu; Rongquan Bai; Zhuoran Yang; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making. - Zhuoning Xu; Jian Xu 015; Mingqing Zhang; Peijie Wang; Chao Deng; Cheng-Lin Liu 001 (CoRR, 2025)

VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. - Boyang Zuo; Xiao Zhang; Feng Li; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. - Yejing Wang; Shengyu Zhou; Jinyu Lu; Qidong Liu 002; Xinhang Li 001; Wenlin Zhang; Feng Li; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Xiangyu Zhao 001 (CoRR, 2025)

Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". - Ningyuan Li 001; Zhilin Zhang 003; Tianyan Long; Yuyao Liu; Rongquan Bai; Yurong Chen 002; Xiaotie Deng; Pengjie Wang 002; Chuan Yu; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising. - Bin Liu; Yunfei Liu; Ziru Xu; Zhaoyu Zhou; Zhi Kou; Yeqiu Yang; Zhu Han 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. - Daoze Zhang; Zhanheng Nie; Jianyu Liu; Chenghan Fu; Wanxian Guan; Yuan Gao; Jun Song; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. - Yukang Lin; Xiang Zhang 001; Shichang Jia; Bowen Wan; Chenghan Fu; Xudong Ren; Yueran Liu; Wanxian Guan; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Baolin Liu 001 (CoRR, 2025)

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. - Sishuo Chen; Zhangming Chan; Xiang-Rong Sheng; Lei Zhang; Sheng Chen; Chenghuan Hou; Han Zhu 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2025)