Dynamic Business Process Generation and Verification. - Budan Wu; Rongheng Lin; Pengjie Wang 002; Junliang Chen 001 (SCC, 2016)

Graph Intention Network for Click-through Rate Prediction in Sponsored Search. - Feng Li; Zhenrui Chen; Pengjie Wang 002; Yi Ren; Di Zhang; Xiaoyu Zhu (SIGIR, 2019)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)