Han Li

Orcid: 0009-0000-9801-9292

Affiliations:

Kuaishou Inc., Kuaishou Technology, Beijing, China
Alibaba Group
Tsinghua University, Department of Automation, TNList, Beijing, China

According to our database¹, Han Li authored at least 53 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Value Function Decomposition in Markov Recommendation Process.

[BibT_eX]

[DOI]

CoRR, January, 2025

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding.

[BibT_eX]

[DOI]

CoRR, January, 2025

Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

RecFlow: An Industrial Full Flow Recommendation Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability.

[BibT_eX]

[DOI]

CoRR, 2024

End-to-End Learnable Item Tokenization for Generative Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

[BibT_eX]

[DOI]

CoRR, 2024

A Model-based Multi-Agent Personalized Short-Video Recommender System.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Condensation and Reasoning for Knowledge-based VQA.

[BibT_eX]

[DOI]

CoRR, 2024

Future Impact Decomposition in Request-level Recommendations.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Spatiotemporal Fine-grained Video Description for Short Videos.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Spatiotemporal Graph Guided Multi-modal Network for Livestreaming Product Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Natural Language Explainable Recommendation with Robustness Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Future Impact Decomposition in Request-level Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Self-Adaptive Fairness Constraint Framework for Industrial Recommender System.

[BibT_eX]

[DOI]

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

Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation.

[BibT_eX]

[DOI]

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

Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-view Semantic Alignment for Livestreaming Product Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cross-Domain Product Representation Learning for Rich-Content E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Pareto Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Optimal Tree Models under Beam Search.

[BibT_eX]

[DOI]

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

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.

[BibT_eX]

[DOI]

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

Learning to Infer User Hidden States for Online Sequential Advertising.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Advertising Agent with Interpretable User Hidden Intents.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Spectral-based Graph Convolutional Network for Directed Graphs.

[BibT_eX]

[DOI]

CoRR, 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

Learning Adaptive Display Exposure for Real-Time Advertising.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 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

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Deep Interest Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Piece-wise Linear Models from Large Scale Data for Ad Click 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

2013

Efficient blind separation of reflection layers with nonparametric transformations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Efficient Superimposition Recovering Algorithm

[BibT_eX]

[DOI]

CoRR, 2012

Han Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...