Kaixuan Chen | DeepAI

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∙ 09/08/2023

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: A Continual Learning Approach Leveraging Human Mobility

In traditional deep learning algorithms, one of the key assumptions is t...

0 Arian Prabowo, et al. ∙

∙ 08/05/2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket

Graph Lottery Ticket (GLT), a combination of core subgraph and sparse su...

0 Yuwen Wang, et al. ∙

∙ 06/15/2023

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation

Human mobility patterns have shown significant applications in policy-de...

0 Yu Wang, et al. ∙

∙ 06/10/2023

Continually learning out-of-distribution spatiotemporal data for robust energy forecasting

Forecasting building energy usage is essential for promoting sustainabil...

4 Arian Prabowo, et al. ∙

∙ 06/05/2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent

Decentralized stochastic gradient descent (D-SGD) allows collaborative l...

0 Tongtian Zhu, et al. ∙

∙ 06/03/2023

Message-passing selection: Towards interpretable GNNs for graph classification

In this paper, we strive to develop an interpretable GNNs' inference par...

0 Wenda Li, et al. ∙

∙ 05/31/2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization

Graph Neural Networks (GNNs) have emerged as a powerful category of lear...

0 Kaixuan Chen, et al. ∙

∙ 05/27/2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

Centralized Training with Decentralized Execution (CTDE) has recently em...

0 Yihe Zhou, et al. ∙

∙ 12/20/2022

A Pattern Discovery Approach to Multivariate Time Series Forecasting

Multivariate time series forecasting constitutes important functionality...

0 Yunyao Cheng, et al. ∙

∙ 11/23/2022

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

Value Decomposition (VD) aims to deduce the contributions of agents for ...

0 Shunyu Liu, et al. ∙

∙ 08/22/2022

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey

Deep learning technologies have demonstrated remarkable effectiveness in...

0 Dalin Zhang, et al. ∙

∙ 07/08/2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

Deep cooperative multi-agent reinforcement learning has demonstrated its...

0 Shunyu Liu, et al. ∙

∙ 07/05/2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework

Despite the promising results achieved, state-of-the-art interactive rei...

0 Shunyu Liu, et al. ∙

∙ 05/12/2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System

The real-time transient stability assessment (TSA) plays a critical role...

0 Kaixuan Chen, et al. ∙

∙ 12/16/2021

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN

Although deep learning has achieved impressive advances in transient sta...

0 Gengshi Han, et al. ∙

∙ 09/29/2021

Distribution Knowledge Embedding for Graph Pooling

Graph-level representation learning is the pivotal step for downstream t...

0 Kaixuan Chen, et al. ∙

∙ 01/21/2020

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

The vast proliferation of sensor devices and Internet of Things enables ...

0 Kaixuan Chen, et al. ∙

∙ 05/22/2019

Multi-agent Attentional Activity Recognition

Multi-modality is an important feature of sensor based activity recognit...

0 Kaixuan Chen, et al. ∙

∙ 11/12/2018

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

Semi-supervised learning is crucial for alleviating labelling burdens in...

0 Kaixuan Chen, et al. ∙

∙ 05/17/2018

Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling

Multimodal features play a key role in wearable sensor-based human activ...

0 Kaixuan Chen, et al. ∙

∙ 11/21/2017

Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition

Multimodal features play a key role in wearable sensor based Human Activ...

0 Kaixuan Chen, et al. ∙

∙ 11/16/2017

MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network

Person identification technology recognizes individuals by exploiting th...

0 Xiang Zhang, et al. ∙

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