Optimized Cost per Click in Taobao Display Advertising. - Han Zhu 001; Junqi Jin; Chang Tan; Fei Pan; Yifan Zeng; Han Li 005; Kun Gai (KDD, 2017)

Deep Interest Network for Click-Through Rate Prediction. - Guorui Zhou; Chengru Song; Xiaoqiang Zhu; Xiao Ma 028; Yanghui Yan; Xingya Dai; Han Zhu 001; Junqi Jin; Han Li 005; Kun Gai (CoRR, 2017)

Deep Interest Network for Click-Through Rate Prediction. - Guorui Zhou; Xiaoqiang Zhu; Chengru Song; Ying Fan; Han Zhu 001; Xiao Ma 028; Yanghui Yan; Junqi Jin; Han Li 005; Kun Gai (KDD, 2018)

Learning Tree-based Deep Model for Recommender Systems. - Han Zhu 001; Xiang Li; Pengye Zhang; Guozheng Li; Jie He 005; Han Li 005; Kun Gai (KDD, 2018)

Learning Tree-based Deep Model for Recommender Systems. - Han Zhu 001; Pengye Zhang; Guozheng Li; Jie He 005; Han Li 005; Kun Gai (CoRR, 2018)

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)

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)

Truncation-Free Matching System for Display Advertising at Alibaba. - Jin Li; Jie Liu 047; Shangzhou Li; Yao Xu; Ran Cao; Qi Li; Biye Jiang; Guan Wang; Han Zhu 001; Kun Gai; Xiaoqiang Zhu (CoRR, 2021)

Context-aware Tree-based Deep Model for Recommender Systems. - Daqing Chang; Jintao Liu; Ziru Xu; Han Li 005; Han Zhu 001; Xiaoqiang Zhu (CoRR, 2021)

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. - Rihan Chen; Bin Liu; Han Zhu 001; Yaoxuan Wang; Qi Li; Buting Ma; Qingbo Hua; Jun Jiang; Yunlong Xu; Hongbo Deng; Bo Zheng 007 (CIKM, 2022)

Adaptive Domain Interest Network for Multi-domain Recommendation. - Yuchen Jiang; Qi Li; Han Zhu 001; Jinbei Yu; Jin Li; Ziru Xu; Huihui Dong; Bo Zheng 007 (CIKM, 2022)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. - Siguang Huang; Yunli Wang; Lili Mou; Huayue Zhang; Han Zhu 001; Chuan Yu; Bo Zheng 007 (WWW, 2022)

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. - Jingwei Zhuo; Bin Liu; Xiang Li; Han Zhu 001; Xiaoqiang Zhu (CoRR, 2022)

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)

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)

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. - Ruiming Tang; Xiaoqiang Zhu; Junfeng Ge; Kuang-chih Lee; Biye Jiang; Xingxing Wang; Han Zhu 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 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)

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)

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis. - Chengwei Hu; Jianhui Zheng; Yancheng He; Hangyu Guo; Junguang Jiang; Han Zhu 001; Kai Sun; Yuning Jiang 001; Wenbo Su; Bo Zheng 007 (CoRR, 2024)

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)

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)

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)