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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...
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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...
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06/15/2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Human mobility patterns have shown significant applications in policy-de...
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06/10/2023
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
Forecasting building energy usage is essential for promoting sustainabil...
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06/05/2023
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
Decentralized stochastic gradient descent (D-SGD) allows collaborative l...
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06/03/2023
Message-passing selection: Towards interpretable GNNs for graph classification
In this paper, we strive to develop an interpretable GNNs' inference par...
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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...
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05/27/2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Centralized Training with Decentralized Execution (CTDE) has recently em...
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12/20/2022
A Pattern Discovery Approach to Multivariate Time Series Forecasting
Multivariate time series forecasting constitutes important functionality...
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11/23/2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Value Decomposition (VD) aims to deduce the contributions of agents for ...
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08/22/2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Deep learning technologies have demonstrated remarkable effectiveness in...
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07/08/2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Deep cooperative multi-agent reinforcement learning has demonstrated its...
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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...
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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...
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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...
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09/29/2021
Distribution Knowledge Embedding for Graph Pooling
Graph-level representation learning is the pivotal step for downstream t...
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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 ...
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05/22/2019
Multi-agent Attentional Activity Recognition
Multi-modality is an important feature of sensor based activity recognit...
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11/12/2018
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing
Semi-supervised learning is crucial for alleviating labelling burdens in...
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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...
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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...
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11/16/2017
