22 citations · 61 across the 28 of their papers we have counts for
29 papers
Autoformulation of Mathematical Optimization Models Using LLMs
Nicolás Astorga, Tennison Liu, Yuanzhang Xiao +1
Mathematical optimization is fundamental to decision-making across diverse domains, from operations research to healthcare. Yet, translating real-world problems into optimization m…
Supply Function Equilibrium in Networked Electricity Markets
YuanzhangXiao, ChaithanyaBandi, Ermin Wei
We study deregulated power markets with strategic power suppliers. In deregulated markets, each supplier submits its supply function (i.e., the amount of electricity it is willing…
Unsupervised Massive MIMO Channel Estimation with Dual-Path Knowledge-Aware Auto-Encoders
Zhiheng Guo, Yuanzhang Xiao, Xiang Chen
In this paper, an unsupervised deep learning framework based on dual-path model-driven variational auto-encoders (VAE) is proposed for angle-of-arrivals (AoAs) and channel estimati…
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
Sichun Luo, Yuanzhang Xiao, Xinyi Zhang +3
Federated recommendation systems employ federated learning techniques to safeguard user privacy by transmitting model parameters instead of raw user data between user devices and t…
Adaptive Top-K in SGD for Communication-Efficient Distributed Learning
Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao +2
Distributed stochastic gradient descent (SGD) with gradient compression has become a popular communication-efficient solution for accelerating distributed learning. One commonly us…
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation
Sichun Luo, Yuanzhang Xiao, Yang Liu +2
Federated recommendations leverage the federated learning (FL) techniques to make privacy-preserving recommendations. Though recent success in the federated recommender system, sev…
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations
Sichun Luo, Xinyi Zhang, Yuanzhang Xiao +1
The recent popularity of edge devices and Artificial Intelligent of Things (AIoT) has driven a new wave of contextual recommendations, such as location based Point of Interest (PoI…
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation
Sichun Luo, Yuanzhang Xiao, Linqi Song
Federated recommendation applies federated learning techniques in recommendation systems to help protect user privacy by exchanging models instead of raw user data between user dev…
Model Predictive Control-Based Battery Scheduling and Incentives to Manipulate Demand Response Baselines
Douglas Ellman, Yuanzhang Xiao
We study operations of a battery energy storage system under a baseline-based demand response (DR) program with an uncertain schedule of DR events. Baseline-based DR programs may p…
Competitive Online Optimization under Inventory Constraints
Qiulin Lin, Hanling Yi, John Pang +4
This paper studies online optimization under inventory (budget) constraints. While online optimization is a well-studied topic, versions with inventory constraints have proven diff…
A Dynamic Jamming Game for Real-Time Status Updates
Yuanzhang Xiao, Yin Sun
We study timely status updates of a real-time system in an adversarial setting. The system samples a physical process, and sends the samples from the source (e.g., a sensor) to the…
Efficient Interference Management Policies for Femtocell Networks
Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
Managing interference in a network of macrocells underlaid with femtocells presents an important, yet challenging problem. A majority of spatial (frequency/time) reuse based approa…
Incentive Design in Peer Review: Rating and Repeated Endogenous Matching
Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar
Peer review (e.g., grading assignments in Massive Open Online Courses (MOOCs), academic paper review) is an effective and scalable method to evaluate the products (e.g., assignment…
Distributed Interference Management Policies for Heterogeneous Small Cell Networks
Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
We study the problem of interference management in large-scale small cell networks, where each user equipment (UE) needs to determine in a distributed manner when and at what power…
Foresighted Demand Side Management
Yuanzhang Xiao, Mihaela van der Schaar
We consider a smart grid with an independent system operator (ISO), and distributed aggregators who have energy storage and purchase energy from the ISO to serve its customers. All…
Non-stationary Resource Allocation Policies for Delay-constrained Video Streaming: Application to Video over Internet-of-Things-enabled Networks
Jie Xu, Yiannis Andrepoulos, Yuanzhang Xiao +1
Due to the high bandwidth requirements and stringent delay constraints of multi-user wireless video transmission applications, ensuring that all video senders have sufficient trans…
Optimal Foresighted Multi-User Wireless Video
Yuanzhang Xiao, Mihaela van der Schaar
Recent years have seen an explosion in wireless video communication systems. Optimization in such systems is crucial - but most existing methods intended to optimize the performanc…
Demand Side Management in Smart Grids using a Repeated Game Framework
Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar
Demand side management (DSM) is a key solution for reducing the peak-time power consumption in smart grids. To provide incentives for consumers to shift their consumption to off-pe…
Socially-Optimal Design of Service Exchange Platforms with Imperfect Monitoring
Yuanzhang Xiao, Mihaela van der Schaar
In service exchange platforms, anonymous users exchange services with each other: clients request services and are matched to servers who provide services. Because providing good-q…
Incentive Design for Direct Load Control Programs
Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione +1
We study the problem of optimal incentive design for voluntary participation of electricity customers in a Direct Load Scheduling (DLS) program, a new form of Direct Load Control (…
Designing Efficient Resource Sharing For Impatient Players Using Limited Monitoring
Mihaela van der Schaar, Yuanzhang Xiao, William Zame
The problem of efficient sharing of a resource is nearly ubiquitous. Except for pure public goods, each agent's use creates a negative externality; often the negative externality i…
Pricing and Intervention in Slotted-Aloha: Technical Report
Luca Canzian, Yuanzhang Xiao, Michele Zorzi +1
In many wireless communication networks a common channel is shared by multiple users who must compete to gain access to it. The operation of the network by self-interested and stra…
Energy-Efficient Nonstationary Spectrum Sharing
Yuanzhang Xiao, Mihaela van der Schaar
We develop a novel design framework for energy-efficient spectrum sharing among autonomous users who aim to minimize their energy consumptions subject to minimum throughput require…
Designing Information Revelation and Intervention with an Application to Flow Control
Luca Canzian, Yuanzhang Xiao, William Zame +2
There are many familiar situations in which a manager seeks to design a system in which users share a resource, but outcomes depend on the information held and actions taken by use…