activity
20232026
most citedNetworked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network

40 citations · 43 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Stability Enhanced Gaussian Process Variational Autoencoders

Carl R. Richardson, Jichen Zhang, Ethan King +1

A novel stability-enhanced Gaussian process variational autoencoder (SEGP-VAE) is proposed for indirectly training a low-dimensional linear time invariant (LTI) system, using high-…

eess.AS2025

Contextual Biasing for LLM-Based ASR with Hotword Retrieval and Reinforcement Learning

YuXiang Kong, JunFeng Hou, Jian Tang +3

Large language model (LLM)-based automatic speech recognition (ASR) has recently achieved strong performance across diverse tasks, yet contextual biasing for named entities and hot…

cs.CV2025

Graph Convolutional Long Short-Term Memory Attention Network for Post-Stroke Compensatory Movement Detection Based on Skeleton Data

Jiaxing Fan, Jiaojiao Liu, Wenkong Wang +3

Most stroke patients experience upper limb motor dysfunction. Compensatory movements are prevalent during rehabilitation training, which is detrimental to patients' long-term recov…

cs.CL2025

Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning

Xingrui Zhuo, Jiapu Wang, Gongqing Wu +4

Inductive Knowledge Graph Reasoning (KGR) aims to discover facts in open-domain KGs containing unknown entities and relations, which poses a challenge for KGR models in comprehendi…

eess.SY2025

Constrained Diffusers for Safe Planning and Control

Jichen Zhang, Liqun Zhao, Antonis Papachristodoulou +1

Diffusion models have shown remarkable potential in planning and control tasks due to their ability to represent multimodal distributions over actions and trajectories. However, en…

eess.SY2023★ 40 cited

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network

Jichen Zhang, Linwei Sang, Yinliang Xu +1

This paper proposes a multiagent based bi-level operation framework for the low-carbon demand management in distribution networks considering the carbon emission allowance on the d…

math.OC2023★ 3 cited

Bi-level Mixed-Integer Nonlinear Optimization for Pelagic Island Microgrid Group Energy Management Considering Uncertainty

Jichen Zhang, Xuan Wei, Yinliang Xu

To realize the safe, economical and low-carbon operation of the pelagic island microgrid group, this paper develops a bi-level energy management framework in a joint energy-reserve…