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05/22/2023
Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks
Neural Networks (GNNs) have recently emerged as a promising approach to ...
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04/17/2023
Affordances from Human Videos as a Versatile Representation for Robotics
Building a robot that can understand and learn to interact by watching h...
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03/27/2023
Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes
Due to mutual interference between users, power allocation problems in w...
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10/27/2022
Towards Correlated Sequential Rules
The goal of high-utility sequential pattern mining (HUSPM) is to efficie...
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11/29/2021
Anomaly Rule Detection in Sequence Data
Analyzing sequence data usually leads to the discovery of interesting pa...
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11/24/2021
Flexible Pattern Discovery and Analysis
Based on the analysis of the proportion of utility in the supporting tra...
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08/08/2021
MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting
Traffic forecasting is a core element of intelligent traffic monitoring ...
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06/02/2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
We present a framework that abstracts Reinforcement Learning (RL) as a s...
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03/04/2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Recent advances in off-policy deep reinforcement learning (RL) have led ...
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02/18/2021
State Entropy Maximization with Random Encoders for Efficient Exploration
Recent exploration methods have proven to be a recipe for improving samp...
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08/18/2020
Discovering High Utility-Occupancy Patterns from Uncertain Data
It is widely known that there is a lot of useful information hidden in b...
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08/10/2020
Ising Model Optimization Problems on a FPGA Accelerated Restricted Boltzmann Machine
Optimization problems, particularly NP-Hard Combinatorial Optimization p...
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07/22/2020
Pushing the Physical Limits of IoT Devices with Programmable Metasurfaces
Small, low-cost IoT devices are typically equipped with only a single, l...
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06/25/2020
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
We propose a novel 3D point cloud segmentation framework named SASO, whi...
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03/01/2020
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
We propose a novel fast and robust 3D point clouds segmentation framewor...
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09/27/2016