Chuan Yu

Orcid: 0000-0003-3748-8663

According to our database1, Chuan Yu authored at least 40 papers between 2004 and 2024.

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Bibliography

2024
XAV: A High-Performance Regular Expression Matching Engine for Packet Processing.
CoRR, 2024

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising.
CoRR, 2024

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding.
CoRR, 2024

Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method.
CoRR, 2024

2023
A distributed fault estimation method for a class of nonlinear Markov jump systems.
J. Frankl. Inst., November, 2023

<i>SecChecker</i>: Inspecting the security implementation of 5G Commercial Off-The-Shelf (COTS) mobile devices.
Comput. Secur., September, 2023

Learning against Non-credible Auctions.
CoRR, 2023

Designing Ad Auctions with Private Constraints for Automated Bidding.
CoRR, 2023

Boosting Advertising Space: Designing Ad Auctions for Augment Advertising.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Personalized Automated Bidding Framework for Fairness-aware Online Advertising.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Truthful Auctions for Automated Bidding in Online Advertising.
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.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On Designing a Two-stage Auction for Online Advertising.
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.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Motion Planning Algorithms Based on Rapidly-exploring Random Tree: A Review.
Proceedings of the 8th International Conference on Communication and Information Processing, 2022

Hierarchically Constrained Adaptive Ad Exposure in Feeds.
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.
CoRR, 2021

Computation Resource Allocation Solution in Recommender Systems.
CoRR, 2021

Improving 4G/5G air interface security: A survey of existing attacks on different LTE layers.
Comput. Networks, 2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.
Proceedings of the WSDM '21, 2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising.
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.
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.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Infer User Hidden States for Online Sequential Advertising.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Sequential Advertising Agent with Interpretable User Hidden Intents.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
LTE Phone Number Catcher: A Practical Attack against Mobile Privacy.
Secur. Commun. Networks, 2019

On Effects of Mobility Management Signalling Based DoS Attacks Against LTE Terminals.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.
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.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Trends in the Diffusion of Misinformation on Social Media.
CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.
CoRR, 2018

2015
Progressive feature matching via triplet graph.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2013
Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation.
IEEE Trans. Image Process., 2013

Robust feature point matching based on geometric consistency and affine invariant spatial constraint.
Proceedings of the IEEE International Conference on Image Processing, 2013

Modeling of comprehensive electric drive system for a study of regenerative brake system.
Proceedings of the American Control Conference, 2013

2004
Semantic Retrieval in a Large-Scale Video Database by Using Both Image and Text Feature.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004


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