Yuan Gao

Research and Application of Power Supply Enterprise Information System Disaster Recovery Technology

2017

With the rapid development of the power supply enterprise, research on information disaster recovery system of power supply enterprise has attracted more and more attention. In order to ensure the safety of the power supply …

Clock Differences Prediction Algorithm Based on EMD‐SVM

2018 · Chinese Journal of Electronics

A new prediction algorithm based on Empirical model decomposition (EMD) and Support vector machine (SVM) is put forward in this paper, and this algorithm solves the problem of the hydrogen atomic clock differences prediction, which …

Social Behavior Learning with Realistic Reward Shaping.

2018 · arXiv (Cornell University)

Deep reinforcement learning has been widely applied in the field of robotics recently to study tasks like locomotion and grasping, but applying it to social robotics remains a challenge. In this paper, we present a …

Increasing Iterate Averaging for Solving Saddle-Point Problems

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Many problems in machine learning and game theory can be formulated as saddle-point problems, for which various first-order methods have been developed and proven efficient in practice. Under the general convex-concave assumption, most first-order methods …

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

2022 · arXiv (Cornell University)

It is well known that it is difficult to have a reliable and robust framework to link multi-agent deep reinforcement learning algorithms with practical multi-robot applications. To fill this gap, we propose and build an …

Event-triggered sequential fusion filters for multi-sensor systems with multiplicative noises

2022 · 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)

This paper combines an event-triggered mechanism with a multiplicative noise system to reduce the communication congestion and the calculation workload of the networked fusion center, and proposes an event-triggered Sequence Covariance Intersection and Sequence Inverse …

Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images

2023 · IEEE Transactions on Neural Networks and Learning Systems

Multiparty learning (MPL) is an emerging framework for privacy-preserving collaborative learning. It enables individual devices to build a knowledge-shared model and remaining sensitive data locally. However, with the continuous increase of users, the heterogeneity gap …

Dispersive Qubit Readout with Intrinsic Resonator Reset

2024 · JuSER (Forschungszentrum Jülich)

A key challenge in quantum computing is speeding up measurement and initialization. Here, we experimentally demonstrate a dispersive measurement method for superconducting qubits that simultaneously measures the qubit and returns the readout resonator to its …

Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina

2024 · arXiv (Cornell University)

Recent studies suggest large language models (LLMs) can exhibit human-like reasoning, aligning with human behavior in economic experiments, surveys, and political discourse. This has led many to propose that LLMs can be used as surrogates …

DIADD: Secure Deduplication and Efficient Data Integrity Auditing With Data Dynamics for Cloud Storage

2025 · IEEE Transactions on Network and Service Management

Data integrity auditing with data deduplication allows the cloud to store only one copy of the identical file while ensuring the integrity of outsourced data. To facilitate flexible updates of outsourced data, data integrity auditing …

Blockchain-Empowered UAV-Assisted Computation Resource Allocation in Smart Farm Services Platform

2025 · IEEE Access

Unmanned aerial vehicle-to-everything (U2X) communications have become increasingly essential technologies to support multiple delay and computation-sensitive services, including augmented reality (AR), Virtual Reality (VR), digital twins, smart farms, unknown geological exploration, smart manufacturing, etc. Therefore, …

Enabling Regulatory Multi-Agent Collaboration: Architecture, Challenges, and Solutions

2025 · arXiv (Cornell University)

Large language models (LLMs)-empowered autonomous agents are transforming both digital and physical environments by enabling adaptive, multi-agent collaboration. While these agents offer significant opportunities across domains such as finance, healthcare, and smart manufacturing, their unpredictable …