Mengxiao Zhang

CoRR, 2024

Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design.

[BibT_eX]

[DOI]

Gennaro Auricchio

Jie Zhang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Lightweight container code recognition based on multi-reuse feature fusion and multi-branch structure merger.

[BibT_eX]

[DOI]

J. Real Time Image Process., December, 2023

A Survey of Data Pricing for Data Marketplaces.

[BibT_eX]

[DOI]

Jiamou Liu

IEEE Trans. Big Data, August, 2023

Pushing the Limit of 1-Minimality of Language-Agnostic Program Reduction.

[BibT_eX]

[DOI]

Proc. ACM Program. Lang., April, 2023

SmartAuction: A blockchain-based secure implementation of private data queries.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2023

Extended Ranking Mechanisms for the m-Capacitated Facility Location Problem in Bayesian Mechanism Design.

[BibT_eX]

[DOI]

Gennaro Auricchio

Jie Zhang

CoRR, 2023

Lampr: Boosting the Effectiveness of Language-Generic Program Reduction via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Online Learning in Contextual Second-Price Pay-Per-Click Auctions.

[BibT_eX]

[DOI]

CoRR, 2023

Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Incentivising Diffusion while Preserving Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

PPR: Pairwise Program Reduction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Ad Hoc Syntax-Guided Program Reduction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Practical Contextual Bandits with Feedback Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MaD: A Dataset for Interview-based BPM in Business Process Management.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Integrated Private Data Trading Systems for Data Marketplaces.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Multi-Unit Auction over a Social Network.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Differentially Private Diffusion Auction: The Single-unit Case.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Centralization Problem for Opinion Convergence in Decentralized Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

The Relevance of Classic Fuzz Testing: Have We Solved This One?

[BibT_eX]

[DOI]

Barton P. Miller

Elisa R. Heymann

IEEE Trans. Software Eng., 2022

SPAIC: A Spike-based Artificial Intelligence Computing Framework.

[BibT_eX]

[DOI]

CoRR, 2022

An Experimental Study on Discovering the Value of Private Data in Data Marketplaces.

[BibT_eX]

[DOI]

Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

A Novel Long-time Prediction Car-following Model Based Mixed Seq2seq Architecture.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

No-Regret Learning in Time-Varying Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Adaptive Bandit Convex Optimization with Heterogeneous Curvature.

[BibT_eX]

[DOI]

Peng Zhao

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Linear Last-iterate Convergence in Constrained Saddle-point Optimization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

2020

RANDOM MASK: Towards Robust Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Linear Last-iterate Convergence for Matrix Games and Stochastic Games.

[BibT_eX]

[DOI]

CoRR, 2020

Selling Data at an Auction under Privacy Constraints.

[BibT_eX]

[DOI]

Jiamou Liu

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Closer Look at Small-loss Bounds for Bandits with Graph Feedback.

[BibT_eX]

[DOI]

Chung-Wei Lee

Proceedings of the Conference on Learning Theory, 2020

Incentive Mechanism for Social Network Data Pricing under Privacy Preservation.

[BibT_eX]

[DOI]

Jiamou Liu

Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020

Incentive Mechanisms for Data Privacy Preservation and Pricing.

[BibT_eX]

[DOI]

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

2019

Defective Convolutional Layers Learn Robust CNNs.

[BibT_eX]

[DOI]

CoRR, 2019

2017

The Local Dimension of Deep Manifold.

[BibT_eX]

[DOI]

CoRR, 2017

Data pricing strategy based on data quality.

[BibT_eX]

[DOI]

Haifei Yu