Han Zhu

According to our database, Han Zhu authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 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, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao

Proceedings of the 17th ACM Conference on Recommender Systems, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.

Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models.

Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu

CoRR, 2022

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration.

Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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, Biye Jiang, Jiaxin Mao, Weinan Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Adaptive Domain Interest Network for Multi-domain Recommendation.

Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation.

Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Context-aware Tree-based Deep Model for Recommender Systems.

Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu

CoRR, 2021

Truncation-Free Matching System for Display Advertising at Alibaba.

Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu

CoRR, 2021

2020

Learning Optimal Tree Models under Beam Search.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Learning Tree-based Deep Model for Recommender Systems.

Han Zhu, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

CoRR, 2018

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Deep Interest Network for Click-Through Rate Prediction.

Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai

CoRR, 2017

Optimized Cost per Click in Taobao Display Advertising.

Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017