Han Zhu - RankMe

43 papers A* 9A 8Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches. WWW Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin
2026	J	`jnl`	Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches. CoRR Xinyu Li, Sishuo Chen, Guipeng Xv, Li Zhang, Mingxuan Luo, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Chen Lin
2026	J	`jnl`	Fine-grained Semantics Integration for Large Language Model-based Recommendation. CoRR Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He
2026	J	`jnl`	MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms. CoRR Jinqi Wu, Sishuo Chen, Zhangming Chan, Yong Bai, Lei Zhang, Sheng Chen, Chenghuan Hou, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chaoyou Fu
2026	A*	`conf`	Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions. WWW Mingxuan Luo, Guipeng Xv, Sishuo Chen, Xinyu Li, Li Zhang, Zhangming Chan, Xiang-Rong Sheng, Han Zhu, Jian Xu, Bo Zheng, Chen Lin
2025	J	`jnl`	AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking. CoRR Zhi Kou, Xiang-Rong Sheng, Shuguang Han, Zhishan Zhao, Yueyao Cheng, Han Zhu, Jian Xu, Bo Zheng
2025	—	`conf`	Computational Advertising: Recent Advances. WWW (Companion Volume) Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang, Bo Zheng
2025	J	`jnl`	Large Language Models Are Universal Recommendation Learners. CoRR Junguang Jiang, Yanwen Huang, Bin Liu, Xiaoyu Kong, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng
2025	—	`conf`	Lightweight Auto-bidding based on Traffic Prediction in Live Advertising. KDD (2) Bo Yang, Ruixuan Luo, Junqi Jin, Han Zhu
2025	J	`jnl`	MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling. CoRR Bin Wu, Feifan Yang, Zhangming Chan, Yu-Ran Gu, Jiawei Feng, Chao Yi, Xiang-Rong Sheng, Han Zhu, Jian Xu, Mang Ye, Bo Zheng
2025	A	`conf`	See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. CIKM Sishuo Chen, Zhangming Chan, Xiang-Rong Sheng, Lei Zhang, Sheng Chen, Chenghuan Hou, Han Zhu, Jian Xu, Bo Zheng
2025	J	`jnl`	See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction. CoRR Sishuo Chen, Zhangming Chan, Xiang-Rong Sheng, Lei Zhang, Sheng Chen, Chenghuan Hou, Han Zhu, Jian Xu, Bo Zheng
2025	J	`jnl`	Think before Recommendation: Autonomous Reasoning-enhanced Recommender. CoRR Xiaoyu Kong, Junguang Jiang, Bin Liu, Ziru Xu, Han Zhu, Jian Xu, Bo Zheng, Jiancan Wu, Xiang Wang
2024	A	`conf`	Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. CIKM 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
2024	J	`jnl`	Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights. CoRR 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
2024	J	`jnl`	WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis. CoRR Chengwei Hu, Jianhui Zheng, Yancheng He, Hangyu Guo, Junguang Jiang, Han Zhu, Kai Sun, Yuning Jiang, Wenbo Su, Bo Zheng
2023	A	`conf`	COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CIKM Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
2023	J	`jnl`	COPR: Consistency-Oriented Pre-Ranking for Online Advertising. CoRR Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
2023	A	`conf`	International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 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
2023	A	`conf`	PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. CIKM Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
2023	A	`conf`	Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CIKM Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng
2023	J	`jnl`	Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao. CoRR Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu, Bo Zheng
2023	J	`jnl`	Robust Representation Learning for Unified Online Top-K Recommendation. CoRR Minfang Lu, Yuchen Jiang, Huihui Dong, Qi Li, Ziru Xu, Yuanlin Liu, Lixia Wu, Haoyuan Hu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
2022	A*	`conf`	4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 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
2022	A	`conf`	Adaptive Domain Interest Network for Multi-domain Recommendation. CIKM Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng
2022	J	`jnl`	Adaptive Domain Interest Network for Multi-domain Recommendation. CoRR Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng
2022	A	`conf`	Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CIKM Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng
2022	J	`jnl`	Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CoRR Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng
2022	A*	`conf`	MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
2022	J	`jnl`	MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng
2022	J	`jnl`	WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu
2021	J	`jnl`	Context-aware Tree-based Deep Model for Recommender Systems. CoRR Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu
2021	J	`jnl`	Truncation-Free Matching System for Display Advertising at Alibaba. CoRR Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu
2020	J	`jnl`	Learning Optimal Tree Models Under Beam Search. CoRR Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
2020	A*	`conf`	Learning Optimal Tree Models under Beam Search. ICML Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
2019	A*	`conf`	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. NeurIPS Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
2019	J	`jnl`	Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. CoRR Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai
2018	A*	`conf`	Deep Interest Network for Click-Through Rate Prediction. KDD Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai
2018	A*	`conf`	Learning Tree-based Deep Model for Recommender Systems. KDD Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai
2018	J	`jnl`	Learning Tree-based Deep Model for Recommender Systems. CoRR Han Zhu, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai
2017	J	`jnl`	Deep Interest Network for Click-Through Rate Prediction. CoRR Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai
2017	A*	`conf`	Optimized Cost per Click in Taobao Display Advertising. KDD Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai
2017	J	`jnl`	Optimized Cost per Click in Taobao Display Advertising. CoRR Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai