Maximum Value Matters: Finding Hot Topics in Scholarly Fields. - Jinghao Zhao; Hao Wu; Fengyu Deng; Wentian Bao; Wencheng Tang; Luoyi Fu; Xinbing Wang (CoRR, 2017)

Conversion Rate Prediction via Post-Click Behaviour Modeling. - Hong Wen 002; Jing Zhang 037; Yuan Wang; Wentian Bao; Quan Lin; Keping Yang (CoRR, 2019)

A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. - Wenhao Zhang; Wentian Bao; Xiao-Yang Liu; Keping Yang; Quan Lin; Hong Wen 002; Ramin Ramezani (CoRR, 2019)

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. - Wentian Bao; Hong Wen 002; Sha Li; Xiao-Yang Liu; Quan Lin; Keping Yang (SIGIR, 2020)

Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. - Hong Wen 002; Jing Zhang 037; Yuan Wang; Fuyu Lv; Wentian Bao; Quan Lin; Keping Yang (SIGIR, 2020)

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. - Wenhao Zhang; Wentian Bao; Xiao-Yang Liu; Keping Yang; Quan Lin; Hong Wen 002; Ramin Ramezani (WWW, 2020)

Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce. - Yulong Gu; Wentian Bao; Dan Ou; Xiang Li 107; Baoliang Cui; Biyu Ma; Haikuan Huang; Qingwen Liu 002; Xiaoyi Zeng (CIKM, 2021)

Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. - Hong Wen 002; Jing Zhang 037; Fuyu Lv; Wentian Bao; Tianyi Wang; Zulong Chen (SIGIR, 2021)

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. - Zhifang Fan; Dan Ou; Yulong Gu; Bairan Fu; Xiang Li 107; Wentian Bao; Xin-Yu Dai; Xiaoyi Zeng; Tao Zhuang; Qingwen Liu 002 (WSDM, 2022)

A Self-boosted Framework for Calibrated Ranking. - Shunyu Zhang; Hu Liu; Wentian Bao; Enyun Yu; Yang Song 008 (KDD, 2024)

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search. - Wentian Bao; Hu Liu; Kai Zheng 001; Chao Zhang; Shunyu Zhang; Enyun Yu; Wenwu Ou; Yang Song 008 (CoRR, 2024)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 001; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (CoRR, 2024)

Making Transformer Decoders Better Differentiable Indexers. - Wuchao Li; Kai Zheng 001; Defu Lian; Qi Liu 003; Wentian Bao; Yunen Yu; Yang Song 008; Han Li 005; Kun Gai (ICLR, 2025)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 007; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (ICLR, 2025)

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems. - Yimeng Bai; Shunyu Zhang; Yang Zhang 072; Hu Liu; Wentian Bao; Enyun Yu; Fuli Feng; Wenwu Ou (SIGIR, 2025)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. - Wuchao Li; Rui Huang; Haijun Zhao; Chi Liu; Kai Zheng 001; Qi Liu 003; Na Mou; Guorui Zhou; Defu Lian; Yang Song 008; Wentian Bao; Enyun Yu; et al. (WSDM, 2025)