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ORCIDHan Zhu 0001
Person information
- affiliation: Alibaba Group, Beijing, China
Other persons with the same name
- Han Zhu — disambiguation page
- Han Zhu 0003
![[0000-0001-7763-8342]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7763-8342")
— Tencent Media Lab, Shenzhen, China (and 1 more) - Han Zhu 0004 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Speech Acoustics and Content Understanding, Beijing, China (and 1 more)
- Han Zhu 0005 — Macao Polytechnic University, Faculty of Applied Sciences, China
- Han Zhu 0006 — Dongbei University of Finance and Economics, School of Management Science and Engineering, Dalian, China (and 1 more)
- Han Zhu 0007 — Tsinghua University, Tsinghua National Lab for Information Science and Technology, TNList, Beijing, China
- Han Zhu 0008 — Shanghai Jiao Tong University, Basics Lab, Department of Computer Science, China
- Han Zhu 0009 — East China Normal University, School of Computer Science and Technology, Shanghai, China
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2020 – today
- 2024
[i15]Xiang-Rong Sheng, Feifan Yang, Litong Gong, Biao Wang, Zhangming Chan, Yujing Zhang, Yueyao Cheng, Yong-Nan Zhu, Tiezheng Ge, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. CoRR abs/2407.19467 (2024)- 2023
- [c13]Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CIKM 2023: 4574-4580 - [c12]Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. CIKM 2023: 4639-4645 - [c11]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CIKM 2023: 4974-4980 - [c10]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:
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 2023: 1276-1280 - [i14]Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CoRR abs/2306.03516 (2023) - [i13]Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng:
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CoRR abs/2306.03527 (2023) - [i12]Minfang Lu, Yuchen Jiang, Huihui Dong, Qi Li, Ziru Xu, Yuanlin Liu, Lixia Wu, Haoyuan Hu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng:
Robust Representation Learning for Unified Online Top-K Recommendation. CoRR abs/2310.15492 (2023) - 2022
- [c9]Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CIKM 2022: 3013-3022 - [c8]Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. CIKM 2022: 3212-3221 - [c7]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:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - [c6]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW 2022: 2236-2246 - [i11]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR abs/2202.04348 (2022) - [i10]Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CoRR abs/2202.10226 (2022) - [i9]Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu:
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR abs/2202.13616 (2022) - [i8]Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. CoRR abs/2206.09672 (2022) - 2021
- [i7]Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu:
Truncation-Free Matching System for Display Advertising at Alibaba. CoRR abs/2102.09283 (2021) - [i6]Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu:
Context-aware Tree-based Deep Model for Recommender Systems. CoRR abs/2109.10602 (2021) - 2020
- [c5]Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai:
Learning Optimal Tree Models under Beam Search. ICML 2020: 11650-11659 - [i5]Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai:
Learning Optimal Tree Models Under Beam Search. CoRR abs/2006.15408 (2020)
2010 – 2019
- 2019
- [c4]Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai:
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. NeurIPS 2019: 3973-3982 - [i4]Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai:
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. CoRR abs/1902.07565 (2019) - 2018
- [c3]Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. KDD 2018: 1059-1068 - [c2]Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai:
Learning Tree-based Deep Model for Recommender Systems. KDD 2018: 1079-1088 - [i3]Han Zhu, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai:
Learning Tree-based Deep Model for Recommender Systems. CoRR abs/1801.02294 (2018) - 2017
- [c1]Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai:
Optimized Cost per Click in Taobao Display Advertising. KDD 2017: 2191-2200 - [i2]Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai:
Optimized Cost per Click in Taobao Display Advertising. CoRR abs/1703.02091 (2017) - [i1]Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. CoRR abs/1706.06978 (2017)
Coauthor Index
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