Han Zhu

Orcid: 0000-0002-9522-5637

Affiliations:

Alibaba Group, Beijing, China

According to our database¹, Han Zhu authored at least 32 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

MAC: A Conversion Rate Prediction Benchmark Featuring Labels Under Multiple Attribution Mechanisms.

[BibT_eX]

[DOI]

CoRR, March, 2026

Fine-grained Semantics Integration for Large Language Model-based Recommendation.

[BibT_eX]

[DOI]

CoRR, February, 2026

Modeling Cascaded Delay Feedback for Online Net Conversion Rate Prediction: Benchmark, Insights and Solutions.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Delayed Feedback Modeling for Post-Click Gross Merchandise Volume Prediction: Benchmark, Insights and Approaches.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling.

[BibT_eX]

[DOI]

CoRR, December, 2025

AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking.

[BibT_eX]

[DOI]

CoRR, November, 2025

Think before Recommendation: Autonomous Reasoning-enhanced Recommender.

[BibT_eX]

[DOI]

CoRR, October, 2025

Large Language Models Are Universal Recommendation Learners.

[BibT_eX]

[DOI]

CoRR, February, 2025

Computational Advertising: Recent Advances.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Lightweight Auto-bidding based on Traffic Prediction in Live Advertising.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Robust Representation Learning for Unified Online Top-K Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

COPR: Consistency-Oriented Pre-Ranking for Online Advertising.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Truncation-Free Matching System for Display Advertising at Alibaba.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Learning Optimal Tree Models under Beam Search.

[BibT_eX]

[DOI]

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

2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Tree-based Deep Model for Recommender Systems.

[BibT_eX]

[DOI]

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

Deep Interest Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

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

2017

Deep Interest Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2017

Optimized Cost per Click in Taobao Display Advertising.

[BibT_eX]

[DOI]

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

Han Zhu

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...