徐健｜山东财经大学｜学者主页

2026

Fixed-Protocol Amortized MPS Tomography with Conformalized Predictive Uncertainty

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Evaluating Generative Time-Series Models on Data with Point Masses

Jian Xu

arXiv preprint

2026

Don't Read the Log: Execution Traces Contaminate Verifiers in Video-Generation Agents

Jian Xu

arXiv preprint

2026

Large Language Bayes Is Not Reparameterisation-Invariant

Jian Xu

arXiv preprint

2026

Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

What Do Flow-Based Inverse Solvers Approximate? A Posterior-Transport View

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Partially Observed Sparse Graphs: The Unknown Sampling Rate is a Tail Index

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Intervention, Not Shared Latents: Blocking Visual Shortcuts in Audio-Video Generation

Jian Xu, Delu Zeng, John Paisley

arXiv preprint

2026

Active Quantum Kernel Acquisition for Gaussian Process Regression

Jian Xu, Artur Miroszewski, John Paisley, Delu Zeng, Qibin Zhao

arXiv preprint

2026

Effective Dimension Governs Generalization in Quantum Kernel Vision Models

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget

Jian Xu, Chao Li, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Mode Collapse Is Cheap to Detect: A Ground-Truth-Free Pre-Flight Check for Neural Samplers

Jian Xu

arXiv preprint

2026

Intrinsic Flow Matching on Quantum Pure-State Manifolds with Phase-Aligned Transport

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

The Right Measure for Physics-Constrained Generation: A Co-Area Correction for Posterior-Consistent PDE Inverse Problems

Jian Xu, Yanning Wu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Look Again Before You Abstain:Budgeted Conformal Evidence Acquisition for Reliable Vision-Language Model

Jian Xu, Yanning Wu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Calibration, Not Compilation: Detecting and Repairing Misspecified Probabilistic Programs Written by Language Models

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Implicit Variational Rejection Sampling

Jian Xu, Shigui Li, Wei Chen, Jiacheng Li, Zhiqi Lin, Delu Zeng, Xinghao Ding, John Paisley, Qibin Zhao

arXiv preprint

2026

Spectral Anatomy of Quantum Gaussian Process Kernels

Jian Xu, Chao Li, Guang Lin, Yuning Qiu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Diagnosing Under-Development of Irreversible Processes in Video Generation

Jian Xu, Yanning Wu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Higher-Order Token Interactions via Quantum Attention

Jian Xu, Chao Li, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Onsager-Machlup Posterior Transport for Deep Gaussian Processes

Jian Xu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

Local-Time Riemannian Score Matching on the Quantum Pure-State Manifold

Jian Xu, Wei Chen, Shigui Li, Chao Li, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2026

What Does a Stream Model Buy You in Flow Matching?

Jian Xu

arXiv preprint

2026

EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling

Mingyang Liu, Yong Bai, Zhangming Chan, Sishuo Chen, Xiang-Rong Sheng, Han Zhu, Jian Xu, Xinyang Chen

arXiv preprint

2026

Secure-CHG: A Comprehensive Framework for Robust and Fair Federated Learning via Hybrid Defense and Contribution-Aware Trust

Guanming Che, Qiang Wang, Jian Xu, Fucai Zhou

arXiv preprint

2026

Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?

Jinqi Wu, Sishuo Chen, Zhangming Chan, Yong Bai, Chao Yi, Han Zhu, Shuodian Yu, Lei Zhang, Sheng Chen, Chenghuan Hou, Jian Xu, Chaoyou Fu

arXiv preprint

2026

DecisionLLM: Large Language Models for Long Sequence Decision Exploration

Xiaowei Lv, Zhilin Zhang, Yijun Li, Yusen Huo, Siyuan Ju, Xuyan Li, Chunxiang Hong, Tianyu Wang, Yongcai Wang, Peng Sun, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2026

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization

Yuejia Dou, Hesong Wang, Xinyu Zhang, Tianyu Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Qi Qi

arXiv preprint

2026

TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation

Zhifei Zheng, Yunfei Liu, Bin Liu, Qiren Zhu, Hanbing Liu, Ziru Xu, Han Zhu, Jian Xu, Qi Qi, Bo Zheng

arXiv preprint

DOI

2026

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval

Xiaomeng Fan, Yueran Liu, Shengyu Zhou, Chenghan Fu, Wanxian Guan, Feng Li, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2026

On the Approximation Complexity of Matrix Product Operator (MPO) Born Machines

Chao Li, Zerui Tao, Yuchen Cong, Jian Xu, Qibin Zhao

arXiv preprint

2026

Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches

Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin

arXiv preprint

2026

LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots

Haoran Sun, Xinrui Song, Xinyu Zhang, Zhaohua Chen, Xu Chu, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng

arXiv preprint

2026

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions

Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chen Lin

arXiv preprint

2026

FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery

Yanlong Wang, Jian Xu, Hongkang Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang

arXiv preprint

2025

Diffusion Bridge Variational Inference for Deep Gaussian Processes

Jian Xu, Qibin Zhao, John Paisley, Delu Zeng

arXiv preprint

2025

Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement

Jian Xu, Wei Chen, Shigui Li, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2025

Neural Bridge Processes

Jian Xu, Yican Liu, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2025

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens

Jiahao Ji, Tianyu Wang, Yeshu Li, Yushen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2025

Large-Scale Auto-bidding with Nash Equilibrium Constraints

Zhiyu Mou, Miao Xu, Rongquan Bai, Zhuoran Yang, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2025

LORE: A Large Generative Model for Search Relevance

Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Ruicong Xu, Haoran Li, Songyan Liu, Pengjie Wang, Jian Xu, Bo Zheng

arXiv preprint

2025

LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models

Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen

arXiv preprint

2025

RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models

Hua Zong, Qingtao Zeng, Zhengxiong Zhou, Zhihua Han, Zhensong Yan, Mingjie Liu, Hechen Sun, Jiawei Liu, Yiwen Hu, Qi Wang, YiHan Xian, Wenjie Guo, Houyuan Xiang, Zhiyuan Zeng, Xiangrong Sheng, Bencheng Yan, Nan Hu, Yuheng Huang, Jinqing Lian, Ziru Xu, Yan Zhang, Ju Huang, Siran Yang, Huimin Yi, Jiamang Wang, Pengjie Wang, Han Zhu, Jian Wu, Dan Ou, Jian Xu, Haihong Tang, Yuning Jiang, Bo Zheng, Lin Qu

arXiv preprint

2025

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling

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

arXiv preprint

2025

HOB: A Holistically Optimized Bidding Strategy under Heterogeneous Bidding Environments

Qi Li, Wendong Huang, Qichen Ye, Wutong Xu, Cheems Wang, Wei Yuan, Miao Xu, Zhiyu Mou, Guan Wang, Rongquan Bai, Chuan Yu, Jian Xu

arXiv preprint

2025

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation

Sichun Luo, Guanzhi Deng, Jian Xu, Zerui Yang, Xiaojie Zhang, Hanxu Hou, Linqi Song

arXiv preprint

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, Jian Xu, Bo Zheng

arXiv preprint

2025

FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model

Yanlong Wang, Jian Xu, Fei Ma, Hongkang Zhang, Hang Yu, Tiantian Gao, Yu Wang, Haochen You, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang

arXiv preprint

2025

MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising

Chenghan Fu, Daoze Zhang, Yukang Lin, Zhanheng Nie, Xiang Zhang, Jianyu Liu, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng

arXiv preprint

2025

Think before Recommendation: Autonomous Reasoning-enhanced Recommender

Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang

arXiv preprint

2025

FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models

Yanlong Wang, Jian Xu, Tiantian Gao, Hongkang Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang

arXiv preprint

2025

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning

Sichun Luo, Jian Xu, Xiaojie Zhang, Linrong Wang, Sicong Liu, Hanxu Hou, Linqi Song

arXiv preprint

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, Wang Pengjie, Jian Xu, Bo Zheng

arXiv preprint

2025

NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations

Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao

arXiv preprint

2025

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

Zhiyu Mou, Yiqin Lv, Miao Xu, Qi Wang, Yixiu Mao, Jinghao Chen, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2025

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction

Bencheng Yan, Yuejie Lei, Zhiyuan Zeng, Zheye Deng, Di Wang, Kaiyi Lin, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2025

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising

Bin Liu, Yunfei Liu, Ziru Xu, Zhi Kou, Yeqiu Yang, Han Zhu, Jian Xu

arXiv preprint

DOI

2025

Federated Continual Instruction Tuning

Haiyang Guo, Fanhu Zeng, Fei Zhu, Wenzhuo Liu, Da-Han Wang, Jian Xu, Xu-Yao Zhang, Cheng-Lin Liu

arXiv preprint

2025

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion

Yanlong Wang, Hang Yu, Jian Xu, Fei Ma, Hongkang Zhang, Tongtong Feng, Zijian Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang

arXiv preprint

2025

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng, Xiangyu Zhao

arXiv preprint

2025

LLM-Auction: Generative Auction towards LLM-Native Advertising

Chujie Zhao, Qun Hu, Shiping Song, Dagui Chen, Han Zhu, Jian Xu, Bo Zheng

arXiv preprint

2025

Diffusion Secant Alignment for Score-Based Density Ratio Estimation

Wei Chen, Shigui Li, Jiacheng Li, Jian Xu, Zhiqi Lin, Junmei Yang, Delu Zeng, John Paisley, Qibin Zhao

arXiv preprint

2025

MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding

Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng

arXiv preprint

2025

RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment

Chenji Lu, Zhuo Chen, Hui Zhao, Zhenyi Wang, Pengjie Wang, Chuan Yu, Jian Xu

arXiv preprint

2025

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding

Zhiyu Mou, Miao Xu, Wei Chen, Rongquan Bai, Chuan Yu, Jian Xu

arXiv preprint

2025

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning

Jian Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, Linqi Song

arXiv preprint

2024

Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations

Jian Xu, Zhiqi Lin, Min Chen, Junmei Yang, Delu Zeng, John Paisley

arXiv preprint

2024

Sparse Variational Student-t Processes for Heavy-tailed Modeling

Jian Xu, Delu Zeng, John Paisley

arXiv preprint

2024

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling

Jian Xu, Zhiqi Lin, Shigui Li, Min Chen, Junmei Yang, Delu Zeng, John Paisley

arXiv preprint

2024

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng, John Paisley

arXiv preprint

2024

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference

Jian Xu, Delu Zeng, John Paisley

arXiv preprint

2024

Contextual Generative Auction with Permutation-level Externalities for Online Advertising

Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu

arXiv preprint

2024

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding

Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu

arXiv preprint

2024

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising

Zhen Gong, Lvyin Niu, Yang Zhao, Miao Xu, Zhenzhe Zheng, Haoqi Zhang, Zhilin Zhang, Fan Wu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2024

Automated Deterministic Auction Design with Objective Decomposition

Zhijian Duan, Haoran Sun, Yichong Xia, Siqiang Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng

arXiv preprint

2024

AIGB: Generative Auto-bidding via Conditional Diffusion Modeling

Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Yan Zhang, Bo Zheng

arXiv preprint

2024

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting

Yanlong Wang, Jian Xu, Fei Ma, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang

arXiv preprint

2024

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation

Sichun Luo, Yuxuan Yao, Bowei He, Wei Shao, Jian Xu, Yinya Huang, Aojun Zhou, Xinyi Zhang, Yuanzhang Xiao, Hanxu Hou, Mingjie Zhan, Linqi Song

arXiv preprint

2024

COALA: A Practical and Vision-Centric Federated Learning Platform

Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu

arXiv preprint

2024

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games

Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng

arXiv preprint

2023

Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout

Jian Xu, Meiling Yang, Wenbo Ding, Shao-Lun Huang

arXiv preprint

2023

Bayesian Gaussian Process ODEs via Double Normalizing Flows

Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John Paisley, Delu Zeng

arXiv preprint

2023

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Jian Xu, Xinyi Tong, Shao-Lun Huang

arXiv preprint

2023

Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes

Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng

arXiv preprint

2023

Truthful Auctions for Automated Bidding in Online Advertising

Yidan Xing, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen

arXiv preprint

2023

Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao

Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng

arXiv preprint

2023

Learning against Non-credible Auctions

Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

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, Yuning Jiang, Jian Xu, Bo Zheng

arXiv preprint

2023

COPR: Consistency-Oriented Pre-Ranking for Online Advertising

Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng

arXiv preprint

2023

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach

Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng

arXiv preprint

2023

Multi-Scenario Ranking with Adaptive Feature Learning

Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li

arXiv preprint

DOI

2023

Sparse Variational Student-t Processes

Jian Xu, Delu Zeng

arXiv preprint

2022

Hierarchically Constrained Adaptive Ad Exposure in Feeds

Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

DOI

2022

Learning Optimal Deterministic Auctions with Correlated Valuation Distributions

Da Huo, Zhilin Zhang, Zhenzhe Zheng, Chuan Yu, Jian Xu, Fan Wu

arXiv preprint

2022

Visual Encoding and Debiasing for CTR Prediction

Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng

arXiv preprint

2022

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, Jian Xu, Bo Zheng

arXiv preprint

2022

Sustainable Online Reinforcement Learning for Auto-bidding

Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng

arXiv preprint

2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction

Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng

arXiv preprint

2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System

Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng

arXiv preprint

2022

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng

arXiv preprint

2022

Impression Allocation and Policy Search in Display Advertising

Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee

arXiv preprint

2022

Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling

Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng

arXiv preprint

2022

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction

Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng

arXiv preprint

2022

FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval

Meilin Yang, Jian Xu, Yang Liu, Wenbo Ding

arXiv preprint

2021

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering

Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan

arXiv preprint

2021

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach

Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

arXiv preprint

2021

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction

Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng

arXiv preprint

2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

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

arXiv preprint

DOI

2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

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

arXiv preprint

2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer

Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

arXiv preprint

2021

Binary Code based Hash Embedding for Web-scale Applications

Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

arXiv preprint

2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

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

arXiv preprint

2020

A Deep Recurrent Survival Model for Unbiased Ranking

Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai

arXiv preprint

2020

Learning Optimal Tree Models Under Beam Search

Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

arXiv preprint

2020

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai

arXiv preprint

DOI

2020

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai

arXiv preprint

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, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

arXiv preprint

2020

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, Kun Gai, Kuang-chih Lee

arXiv preprint

DOI

2020

Learning to Infer User Hidden States for Online Sequential Advertising

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

arXiv preprint

DOI

2019

Bid Optimization by Multivariable Control in Display Advertising

Xun Yang, Yasong Li, Hao Wang, Di Wu, Qing Tan, Jian Xu, Kun Gai

arXiv preprint

DOI

2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai

arXiv preprint

2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai

arXiv preprint

DOI

2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

arXiv preprint

2018

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu

arXiv preprint

DOI

2018

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising

Di Wu, Xiujun Chen, Xun Yang, Hao Wang, Qing Tan, Xiaoxun Zhang, Jian Xu, Kun Gai

arXiv preprint

DOI

2018

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

Di Wu, Cheng Chen, Xun Yang, Xiujun Chen, Qing Tan, Jian Xu, Kun Gai

arXiv preprint

2018

Learning Adaptive Display Exposure for Real-Time Advertising

Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai

arXiv preprint

2015

Smart Pacing for Effective Online Ad Campaign Optimization

Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu

arXiv preprint

DOI

2015

Lift-Based Bidding in Ad Selection

Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-chih Lee, Hang Qi, Quan Lu

arXiv preprint

精选作品

期刊论文

基于属性与结构自编码的无监督图异常检测

大语言模型驱动的跨学科知识图谱构建与共性知识发现研究

企业协同与空间效应下的消费者需求预测:基于时空图神经网络模型

Rumor Spotter: A Novel Textual Rumor Detection Model Integrating Rumor Classification and Marking

A Cross-Chain Key Agreement and Regulatory Governance Framework Based on Peninsula Group Permutation Rational Functions

Security Enhancement for Person Re-Identification Through Diffusion Driven Semantic Attacks

结构角色增强的多重网络嵌入

基于深度强化学习技术的算力服务平台革新——以中国东数西算重大工程为案例

基于RoBERTa-BiLSTM-CRF融合模型的在线评论细粒度情感分析

通往AI时代的科研文献数据集：特征规律与发展方向

视频弹幕与字幕的情感分析与比较研究

基于网络用户评论情感计算的用户痛点分析——以手机评论为例

预印本

Fixed-Protocol Amortized MPS Tomography with Conformalized Predictive Uncertainty

Evaluating Generative Time-Series Models on Data with Point Masses

Don't Read the Log: Execution Traces Contaminate Verifiers in Video-Generation Agents

Large Language Bayes Is Not Reparameterisation-Invariant

Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

What Do Flow-Based Inverse Solvers Approximate? A Posterior-Transport View

Partially Observed Sparse Graphs: The Unknown Sampling Rate is a Tail Index

Intervention, Not Shared Latents: Blocking Visual Shortcuts in Audio-Video Generation

Active Quantum Kernel Acquisition for Gaussian Process Regression

Effective Dimension Governs Generalization in Quantum Kernel Vision Models

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget

Mode Collapse Is Cheap to Detect: A Ground-Truth-Free Pre-Flight Check for Neural Samplers

Intrinsic Flow Matching on Quantum Pure-State Manifolds with Phase-Aligned Transport

The Right Measure for Physics-Constrained Generation: A Co-Area Correction for Posterior-Consistent PDE Inverse Problems

When Can You Debias an LLM Judge? Identifiability Limits, a Test, and Designs for Top-k Ranking

Look Again Before You Abstain:Budgeted Conformal Evidence Acquisition for Reliable Vision-Language Model

Calibration, Not Compilation: Detecting and Repairing Misspecified Probabilistic Programs Written by Language Models

Implicit Variational Rejection Sampling

Spectral Anatomy of Quantum Gaussian Process Kernels

Diagnosing Under-Development of Irreversible Processes in Video Generation

Higher-Order Token Interactions via Quantum Attention

Onsager-Machlup Posterior Transport for Deep Gaussian Processes

Local-Time Riemannian Score Matching on the Quantum Pure-State Manifold

What Does a Stream Model Buy You in Flow Matching?

EST: Towards Efficient Scaling Laws in Click-Through Rate Prediction via Unified Modeling

Secure-CHG: A Comprehensive Framework for Robust and Fair Federated Learning via Hybrid Defense and Contribution-Aware Trust

Can Large Language Models Identify Meaningful Touchpoints in Conversion Attribution?

DecisionLLM: Large Language Models for Long Sequence Decision Exploration

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization

TransRetrieval: Scaling Up Transformer-Based Retrieval for Industrial Recommendation

PailitaoGR: Latent Think-with-Images for Generative Image Retrieval

On the Approximation Complexity of Matrix Product Operator (MPO) Born Machines

Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches

LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions

FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery

Diffusion Bridge Variational Inference for Deep Gaussian Processes

Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement

Neural Bridge Processes

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens

Large-Scale Auto-bidding with Nash Equilibrium Constraints

LORE: A Large Generative Model for Search Relevance

LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models

RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling

HOB: A Holistically Optimized Bidding Strategy under Heterogeneous Bidding Environments

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction

FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model

MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising

Think before Recommendation: Autonomous Reasoning-enhanced Recommender

FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning

Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model

NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising

Federated Continual Instruction Tuning

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

LLM-Auction: Generative Auction towards LLM-Native Advertising

Diffusion Secant Alignment for Score-Based Density Ratio Estimation

MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding

RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment