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- research-articleNovember 2024
Exploring the Application of Big Data Technology in Smart Tourism Based on Machine Learning Algorithms
ICIIP '24: Proceedings of the 2024 9th International Conference on Intelligent Information ProcessingPages 15–24https://doi.org/10.1145/3696952.3696955The application of big data technology in the development of smart tourism is increasingly being promoted and impacting the development trend of the tourism industry in our lives. This paper deeply explores the practical application of big data in smart ...
- research-articleJuly 2024
Accelerated algorithms for constrained nonconvex-nonconcave min-max optimization and comonotone inclusion
ICML'24: Proceedings of the 41st International Conference on Machine LearningArticle No.: 207, Pages 5312–5347We study constrained comonotone min-max optimization, a structured class of nonconvex-nonconcave min-max optimization problems, and their generalization to comonotone inclusion. In our first contribution, we extend the Extra Anchored Gradient (EAG) ...
- ArticleJuly 2024
FSAM Framework for Online CDN-Based Website Classification
AbstractWith the development of the Internet, CDN has become an important infrastructure of the Internet by hosting websites or certain components. To optimize the QoS of CDN and user experience, it is necessary to classify the website or service traffic ...
- extended-abstractDecember 2024
Algorithmic Information Disclosure in Optimal Auctions
EC '24: Proceedings of the 25th ACM Conference on Economics and ComputationPage 43https://doi.org/10.1145/3670865.3673566Classical auction theory typically focuses on models with exogenous signal structures, where all auction participants privately know their item valuations. However, practical scenarios often find buyers initially uninformed about their item values due to ...
- research-articleJune 2024
The Power of Two-Sided Recruitment in Two-Sided Markets
STOC 2024: Proceedings of the 56th Annual ACM Symposium on Theory of ComputingPages 201–212https://doi.org/10.1145/3618260.3649669We consider the problem of maximizing the gains from trade (GFT) in two-sided markets. The seminal impossibility result by Myerson and Satterthwaite (1983) shows that even for bilateral trade, there is no individually rational (IR), Bayesian incentive ...
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- research-articleMay 2024
User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization
WWW '24: Proceedings of the ACM Web Conference 2024Pages 111–122https://doi.org/10.1145/3589334.3645495We propose a new Markov Decision Process (MDP) model for ad auctions to capture the user response to the quality of ads, with the objective of maximizing the long-term discounted revenue. By incorporating user response, our model takes into consideration ...
- research-articleMay 2024
Joint Compute-Caching-Communication Control for Online Data-Intensive Service Delivery
IEEE Transactions on Mobile Computing (ITMV), Volume 23, Issue 5Pages 4617–4633https://doi.org/10.1109/TMC.2023.3297598Data-intensive augmented information (AgI) services (e.g., metaverse applications such as virtual/augmented reality), designed to deliver highly interactive experiences resulting from the real-time combination of live data-streams and pre-stored digital ...
- research-articleJanuary 2024
STOP: Joint send buffer and transmission control for user-perceived deadline guarantee via curriculum guided-deep reinforcement learning
Journal of Network and Computer Applications (JNCA), Volume 221, Issue Chttps://doi.org/10.1016/j.jnca.2023.103787AbstractReal-time applications with strict user-perceived deadline requirements, such as cloud virtual reality (VR) gaming and high-frequency trading, have experienced substantial growth in recent years. To ensure the user-perceived deadline at the ...
- research-articleDecember 2023
Uncoupled and convergent learning in two-player zero-sum Markov games with bandit feedback
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsArticle No.: 1579, Pages 36364–36406We revisit the problem of learning in two-player zero-sum Markov games, focusing on developing an algorithm that is uncoupled, convergent, and rational, with non-asymptotic convergence rates to Nash equilibrium. We start from the case of stateless matrix ...
- research-articleJuly 2023
Doubly optimal no-regret learning in monotone games
ICML'23: Proceedings of the 40th International Conference on Machine LearningArticle No.: 143, Pages 3507–3524We consider online learning in multiplayer smooth monotone games. Existing algorithms have limitations such as (1) being only applicable to strongly monotone games; (2) lacking the no-regret guarantee; (3) having only asymptotic or slow O(1/√T) last-...
- research-articleJuly 2023
Nearly Optimal Committee Selection For Bias Minimization
EC '23: Proceedings of the 24th ACM Conference on Economics and ComputationPages 391–410https://doi.org/10.1145/3580507.3597761We study the model of metric voting initially proposed by Feldman et al. [2020]. In this model, experts and candidates are located in a metric space, and each candidate possesses a quality that is independent of her location. An expert evaluates each ...
- research-articleJune 2023
On the Optimal Fixed-Price Mechanism in Bilateral Trade
STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of ComputingPages 737–750https://doi.org/10.1145/3564246.3585171We study the problem of social welfare maximization in bilateral trade, where two agents, a buyer and a seller, trade an indivisible item. The seminal result of Myerson and Satterthwaite shows that no incentive compatible and budget balanced (i.e., ...
- research-articleJanuary 2023
Application research of BP neural network PID in control system of heat exchange station
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 23, Issue 6Pages 2851–2866https://doi.org/10.3233/JCM-226972In the direction of better resolution of time lag, nonlinearity and uncertainty in the heating system, a BPNN-PID (BP neural network PID) controller is proposed in this paper. A complete heating auto-control system is designed with the experimental ...
- research-articleNovember 2022
Finite-time last-iterate convergence for learning in multi-player games
NIPS '22: Proceedings of the 36th International Conference on Neural Information Processing SystemsArticle No.: 2457, Pages 33904–33919We study the question of last-iterate convergence rate of the extragradient algorithm by [Kor76] and the optimistic gradient algorithm by [Pop80] in multiplayer games. We show that both algorithms with constant step-size have last-iterate convergence ...
- research-articleJuly 2022
Recommender Systems meet Mechanism Design
EC '22: Proceedings of the 23rd ACM Conference on Economics and ComputationPages 897–914https://doi.org/10.1145/3490486.3538354Machine learning has developed a variety of tools for learning and representing high-dimensional distributions with structure. Recent years have also seen big advances in designing multi-item mechanisms. Akin to overfitting, however, these mechanisms ...
- research-articleJuly 2022
Is Selling Complete Information (Approximately) Optimal?
EC '22: Proceedings of the 23rd ACM Conference on Economics and ComputationPages 608–663https://doi.org/10.1145/3490486.3538304We study the problem of selling information to a data-buyer who faces a decision problem under uncertainty. We consider the classic Bayesian decision-theoretic model pioneered by Blackwell. Initially, the data buyer has only partial information about ...
- research-articleJune 2022
Computing simple mechanisms: Lift-and-round over marginal reduced forms
STOC 2022: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of ComputingPages 704–717https://doi.org/10.1145/3519935.3520029We study revenue maximization in multi-item multi-bidder auctions under the natural item-independence assumption – a classical problem in Multi-Dimensional Bayesian Mechanism Design. One of the biggest challenges in this area is developing algorithms to ...
- research-articleJune 2022
Ultra-Reliable Distributed Cloud Network Control With End-to-End Latency Constraints
IEEE/ACM Transactions on Networking (TON), Volume 30, Issue 6Pages 2505–2520https://doi.org/10.1109/TNET.2022.3179349We are entering a rapidly unfolding future driven by the delivery of real-time computation services, such as industrial automation and augmented reality, collectively referred to as augmented information (AgI) services, over highly distributed cloud/edge ...