Search Results for author: Yan Jiang

Found 9 papers, 3 papers with code

Weak Collocation Regression method: fast reveal hidden stochastic dynamics from high-dimensional aggregate data

no code implementations6 Sep 2022 Liwei Lu, Zhijun Zeng, Yan Jiang, Yi Zhu, Pipi Hu

Taking the collocations of Gaussian functions as the test functions in the weak form of the FP equation, we transfer the derivatives to the Gaussian functions and thus approximate the weak form by the expectational sum of the data.


On the Performance of Data Compression in Clustered Fog Radio Access Networks

no code implementations1 Jul 2022 Haonan Hu, Yan Jiang, Jiliang Zhang, Yanan Zheng, Qianbin Chen, Jie Zhang

The fog-radio-access-network (F-RAN) has been proposed to address the strict latency requirements, which offloads computation tasks generated in user equipments (UEs) to the edge to reduce the processing latency.

Data Compression

Few-Shot Stance Detection via Target-Aware Prompt Distillation

no code implementations27 Jun 2022 Yan Jiang, Jinhua Gao, HuaWei Shen, Xueqi Cheng

The main challenge of this task comes two-fold: few-shot learning resulting from the varying targets and the lack of contextual information of the targets.

Few-Shot Learning Stance Detection

Structured Neural-PI Control for Networked Systems: Stability and Steady-State Optimality Guarantees

1 code implementation1 Jun 2022 Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi

We explicitly characterize the stability conditions and engineer neural networks that satisfy them by design.

Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach

no code implementations1 May 2022 Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés

Specifically, we use RL to learn a neural network-based control policy mapping from the integral variables of DAI to the controllable power injections which provides optimal transient frequency control, while DAI inherently ensures the frequency restoration and optimal economic dispatch.

reinforcement-learning Reinforcement Learning (RL)

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

no code implementations31 Dec 2020 Kailong Liu, Xiaosong Hu, Zhongbao Wei, Yi Li, Yan Jiang

Experimental results demonstrate that the modified Gaussian process regression model considering the battery electrochemical and empirical ageing signature outperforms other counterparts and is able to achieve satisfactory results for both one-step and multi-step predictions.


Reinforcement Learning for Optimal Primary Frequency Control: A Lyapunov Approach

1 code implementation11 Sep 2020 Wenqi Cui, Yan Jiang, Baosen Zhang

As more inverter-connected renewable resources are integrated into the grid, frequency stability may degrade because of the reduction in mechanical inertia and damping.

reinforcement-learning Reinforcement Learning (RL)

An adaptive high-order piecewise polynomial based sparse grid collocation method with applications

1 code implementation9 Dec 2019 Zhanjing Tao, Yan Jiang, Yingda Cheng

The contribution of this work is the introduction of a systematic framework for collocation onto high-order piecewise polynomial space that is allowed to be discontinuous.

Numerical Analysis Numerical Analysis

Algorithms for Generalized Cluster-wise Linear Regression

no code implementations5 Jul 2016 Young Woong Park, Yan Jiang, Diego Klabjan, Loren Williams

We examine the performance of our algorithms on a stock keeping unit (SKU) clustering problem employed in forecasting halo and cannibalization effects in promotions using real-world retail data from a large supermarket chain.


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