We stand with Ukraine

We stand with Ukraine

Chuan Yu

Orcid: 0000-0001-8094-1545

Affiliations:

Alibaba Group, Beijing, China

According to our database¹, Chuan Yu authored at least 43 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots.

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CoRR, May, 2026

MOON3.0: Reasoning-aware Multimodal Representation Learning for E-commerce Product Understanding.

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CoRR, April, 2026

Marketing Hosting: From Fixed to Endogenous Budgets.

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Proceedings of the ACM Web Conference 2026, 2026

DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs.

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Proceedings of the ACM Web Conference 2026, 2026

Automated Deterministic Auction Design with Objective Decomposition.

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Proceedings of the ACM Web Conference 2026, 2026

GAM: A Generative Auto-Marketing Framework in Online E-commerce Platforms.

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Proceedings of the ACM Web Conference 2026, 2026

2025

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens.

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CoRR, October, 2025

HOB: A Holistically Optimized Bidding Strategy under Heterogeneous Auction Mechanisms with Organic Traffic.

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CoRR, October, 2025

A Unified Multi-Task Learning Framework for Generative Auto-Bidding with Validation-Aligned Optimization.

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CoRR, October, 2025

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search.

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CoRR, September, 2025

Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning.

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CoRR, March, 2025

Learning against Non-credible Second-Price Auctions.

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Proceedings of the ACM on Web Conference 2025, 2025

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens.

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

An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui".

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

2024

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method.

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CoRR, 2024

Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms.

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Proceedings of the ACM on Web Conference 2024, 2024

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding.

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Proceedings of the ACM on Web Conference 2024, 2024

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games.

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generative Auto-bidding via Conditional Diffusion Modeling.

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

2023

Learning against Non-credible Auctions.

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CoRR, 2023

Designing Ad Auctions with Private Constraints for Automated Bidding.

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CoRR, 2023

Boosting Advertising Space: Designing Ad Auctions for Augment Advertising.

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Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising.

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Truthful Auctions for Automated Bidding in Online Advertising.

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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising.

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

2022

On Designing a Two-stage Auction for Online Advertising.

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Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

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Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Sustainable Online Reinforcement Learning for Auto-bidding.

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hierarchically Constrained Adaptive Ad Exposure in Feeds.

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

2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.

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CoRR, 2021

Computation Resource Allocation Solution in Recommender Systems.

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CoRR, 2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.

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Proceedings of the WSDM '21, 2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Unified Solution to Constrained Bidding in Online Display Advertising.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

We Know What You Want: An Advertising Strategy Recommender System for Online Advertising.

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.

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

Learning to Infer User Hidden States for Online Sequential Advertising.

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

Sequential Advertising Agent with Interpretable User Hidden Intents.

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

2019

Learning Adaptive Display Exposure for Real-Time Advertising.

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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.

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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.

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CoRR, 2018

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