Multi-Level Deep Cascade Trees for Conversion Rate Prediction. - Hong Wen 002; Jing Zhang 037; Quan Lin; Keping Yang; Taiwei Jin; Fuyu Lv; Xiaofeng Pan; Pipei Huang; Zheng-Jun Zha (CoRR, 2018)

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. - Hong Wen 002; Jing Zhang 037; Quan Lin; Keping Yang; Pipei Huang (AAAI, 2019)

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)

SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. - Qijie Shen; Wanjie Tao; Jing Zhang 037; Hong Wen 002; Zulong Chen; Quan Lu (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)

SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction. - Xiaofeng Pan; Yibin Shen; Jing Zhang 037; Keren Yu; Hong Wen 002; Shui Liu; Chengjun Mao; Bo Cao (CoRR, 2021)

Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. - Xiaofeng Pan; Ming Li; Jing Zhang 037; Keren Yu; Luping Wang; Hong Wen 002; Chengjun Mao; Bo Cao (CoRR, 2021)

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. - Wanjie Tao; Yu Li 015; Liangyue Li; Zulong Chen; Hong Wen 002; Peilin Chen; Tingting Liang; Quan Lu (AAAI, 2022)

Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search. - Qijie Shen; Hong Wen 002; Jing Zhang 037; Qi Rao (CIKM, 2022)

A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. - Wanjie Tao; Zhang-Hua Fu; Liangyue Li; Zulong Chen; Hong Wen 002; Yuanyuan Liu 004; Qijie Shen; Peilin Chen (CIKM, 2022)

SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. - Fanwei Zhu; Zulong Chen; Fan Zhang; Jiazhen Lou; Hong Wen 002; Shui Liu; Qi Rao; Tengfei Yuan; Shenghua Ni; Jinxin Hu; Fuzhen Sun; Quan Lu (CIKM, 2022)

Re-weighting Negative Samples for Model-Agnostic Matching. - Jiazhen Lou; Hong Wen 002; Fuyu Lv; Jing Zhang 037; Tengfei Yuan; Zhao Li (SIGIR, 2022)

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios. - Xiaofeng Pan; Ming Li; Jing Zhang 037; Keren Yu; Hong Wen 002; Luping Wang; Chengjun Mao; Bo Cao (SIGIR, 2022)

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. - Wanjie Tao; Liangyue Li; Chen Chen 022; Zulong Chen; Hong Wen 002 (SIGIR, 2022)

Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation. - Qijie Shen; Hong Wen 002; Wanjie Tao; Jing Zhang 037; Fuyu Lv; Zulong Chen; Zhao Li (WWW, 2022)

Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate Prediction. - Peilin Chen; Hong Wen 002; Jing Zhang 037; Fuyu Lv; Zhao Li; Qijie Shen; Wanjie Tao; Ying Zhou; Chao Zhang (DASFAA (2), 2023)

MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction. - Xiaofeng Pan; Yibin Shen; Jing Zhang 037; Xu He; Yang Huang; Hong Wen 002; Chengjun Mao; Bo Cao (DASFAA (2), 2023)

PlanRanker: Towards Personalized Ranking of Train Transfer Plans. - Jia Xu 005; Wanjie Tao; Zulong Chen; Jin Huang 001; Huihui Liu; Hong Wen 002; Shenghua Ni; Qun Dai; Yu Gu 002 (KDD, 2023)

Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking. - Wanjie Tao; Huihui Liu; Xuqi Li; Qun Dai; Hong Wen 002; Zulong Chen (SIGIR, 2023)

UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition. - Jiazhen Lou; Zhao Li; Hong Wen 002; Jingsong Lv; Jing Zhang 037; Fuyu Lv; Zulong Chen; Jia Wu (ADMA (6), 2024)

Modeling User Viewing Flow using Large Language Models for Article Recommendation. - Zhenghao Liu 001; Zulong Chen; Moufeng Zhang; Shaoyang Duan; Hong Wen 002; Liangyue Li; Nan Li; Yu Gu 002; Ge Yu 001 (WWW (Companion Volume), 2024)

Collaboration or Competition: An Infomax-Based Period-Aware Transformer for Ticket-Grabbing Prediction. - Wanjie Tao; Huihui Liu; Jia Xu 005; Qun Dai; Jing Zhou; Hong Wen 002; Zulong Chen (IEEE Trans. Intell. Transp. Syst., 2024)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Yulei Huang; Jinxin Hu; Hong Wen 002; Jia Xu 005; Zulong Chen; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 2025)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. - Hao Deng; Haibo Xing; Kanefumi Matsuyama; Moyu Zhang; Jinxin Hu; Hong Wen 002; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 2025)

LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction. - Xin Song; Xiaochen Li; Jinxin Hu; Hong Wen 002; Zulong Chen; Yu Zhang 206; Xiaoyi Zeng; Jing Zhang 037 (SIGIR, 2025)

MHSNet:An MoE-based Hierarchical Semantic Representation Network for Accurate Duplicate Resume Detection with Large Language Model. - Yu Li 015; Zulong Chen; Wenjian Xu; Hong Wen 002; Yipeng Yu; Man Lung Yiu; Yuyu Yin (CoRR, 2025)