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08/01/2023
Cooperative Positioning for Sparsely Distributed High-Mobility Wireless Networks with EKF Based Spatio-Temporal Data Fusion
We propose a distributed cooperative positioning algorithm using the ext...
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06/25/2023
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning
Language models still struggle on moral reasoning, despite their impress...
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06/08/2023
Offline Prioritized Experience Replay
Offline reinforcement learning (RL) is challenged by the distributional ...
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06/01/2023
Improving and Benchmarking Offline Reinforcement Learning Algorithms
Recently, Offline Reinforcement Learning (RL) has achieved remarkable pr...
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05/31/2023
Efficient Diffusion Policies for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims to learn optimal policies from ...
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04/19/2023
Visualising Personal Data Flows: Insights from a Case Study of Booking.com
Commercial organisations are holding and processing an ever-increasing a...
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04/06/2023
DiffMimic: Efficient Motion Mimicking with Differentiable Physics
Motion mimicking is a foundational task in physics-based character anima...
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03/01/2023
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures
Despite huge gains in performance in natural language understanding via ...
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10/24/2022
Benchmarking Deformable Object Manipulation with Differentiable Physics
Deformable Object Manipulation (DOM) is of significant importance to bot...
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10/18/2022
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning
Despite the recent advancement in multi-agent reinforcement learning (MA...
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10/18/2022
A Human-ML Collaboration Framework for Improving Video Content Reviews
We deal with the problem of localized in-video taxonomic human annotatio...
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10/17/2022
Boosting Offline Reinforcement Learning via Data Rebalancing
Offline reinforcement learning (RL) is challenged by the distributional ...
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10/14/2022
Mutual Information Regularized Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning an effective policy...
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10/11/2022
From Earth to Space: A First Deployment of 5G Core Network on Satellite
Recent developments in the aerospace industry have led to a dramatic red...
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09/23/2022
The Beauty of Repetition in Machine Composition Scenarios
Repetition, a basic form of artistic creation, appears in most musical w...
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08/09/2022
A Balanced Tree Approach to Construction of Length-Compatible Polar Codes
From the perspective of tree, we design a length-compatible coding schem...
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06/15/2022
Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices
DNNs are ubiquitous on edge devices nowadays. With its increasing import...
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06/10/2022
Imitation Learning via Differentiable Physics
Existing imitation learning (IL) methods such as inverse reinforcement l...
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05/07/2022
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation
You can have your cake and eat it too. Microvessel segmentation in optic...
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04/02/2022
Hierarchical Reinforcement Learning under Mixed Observability
The framework of mixed observable Markov decision processes (MOMDP) mode...
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01/11/2022
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification
Visible-infrared person re-identification (VI-ReID) has been challenging...
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12/30/2021
Tiansuan Constellation: An Open Research Platform
Satellite network is the first step of interstellar voyages. It can prov...
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10/19/2021
State-based Episodic Memory for Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) algorithms have made promising...
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09/08/2021
From Cloud to Edge: A First Look at Public Edge Platforms
Public edge platforms have drawn increasing attention from both academia...
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08/13/2021
Sleep, Sense or Transmit: Energy-Age Tradeoff for Status Update with Two-Thresholds Optimal Policy
Age-of-Information (AoI), or simply age, which measures the data freshne...
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07/19/2021
Ab Initio Particle-based Object Manipulation
This paper presents Particle-based Object Manipulation (Prompt), a new a...
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05/24/2021
FineAction: A Fined Video Dataset for Temporal Action Localization
On the existing benchmark datasets, THUMOS14 and ActivityNet, temporal a...
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04/25/2021
Learning Latent Graph Dynamics for Deformable Object Manipulation
Manipulating deformable objects, such as cloth and ropes, is a long-stan...
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01/22/2021
Twisted-Pair Superposition Transmission
We propose in this paper a new coding scheme called twisted-pair superpo...
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01/06/2021
HAVANA: Hierarchical and Variation-Normalized Autoencoder for Person Re-identification
Person Re-Identification (Re-ID) is of great importance to the many vide...
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10/22/2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Federated learning (FL) was designed to enable mobile phones to collabor...
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10/15/2020
Optimal control and stablilization for linear continuous-time mean-field systems with delay
This paper studies optimal control and stabilization problems for contin...
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08/25/2020
Transmitting Extra Bits by Rotating Signal Constellations
In this letter, we propose a novel LDPC coding scheme to transmit extra ...
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08/06/2020
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations
Deep model-based reinforcement learning (MBRL) has achieved great sample...
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07/21/2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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07/13/2020
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space
It has been arduous to assess the progress of a policy learning algorith...
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05/18/2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Understanding crowd motion dynamics is critical to real-world applicatio...
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04/02/2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
Existing question answering systems can only predict answers without exp...
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03/06/2020
Challenges in Supporting Exploratory Search through Voice Assistants
Voice assistants have been successfully adopted for simple, routine task...
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03/04/2020
AI-Mediated Exchange Theory
As Artificial Intelligence (AI) plays an ever-expanding role in sociotec...
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02/23/2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Deep reinforcement learning is successful in decision making for sophist...
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02/15/2020
Analysis on Computation-Intensive Status Update in Mobile Edge Computing
In status update scenarios, the freshness of information is measured in ...
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02/14/2020
AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
Mobile edge caching can effectively reduce service delay but may introdu...
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02/04/2020
Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing
Mobile edge computing is beneficial to reduce service response time and ...
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01/09/2020
Systematic Convolutional Low Density Generator Matrix Code
In this paper, we propose a systematic low density generator matrix (LDG...
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07/12/2019
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Anomaly detection is facing with emerging challenges in many important i...
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06/26/2019
Free Ride on LDPC Coded Transmission
In this paper, we formulate a new problem to cope with the transmission ...
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06/06/2019
Clustered Reinforcement Learning
Exploration strategy design is one of the challenging problems in reinfo...
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05/30/2019
Particle Filter Recurrent Neural Networks
Recurrent neural networks (RNNs) have been extraordinarily successful fo...
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05/28/2019
