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08/19/2023
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing
The neural rendering of humans is a topic of great research significance...
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08/08/2023
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling
Current learning-based edge caching schemes usually suffer from dynamic ...
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08/01/2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
Evolutionary reinforcement learning (ERL) algorithms recently raise atte...
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07/16/2023
Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning
Goal-conditioned reinforcement learning (RL) is an interesting extension...
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07/16/2023
A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising
Due to the high flexibility and remarkable performance, low-rank approxi...
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05/12/2023
Knowledge Soft Integration for Multimodal Recommendation
One of the main challenges in modern recommendation systems is how to ef...
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05/12/2023
Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning
In cooperative multi-agent reinforcement learning (MARL), the environmen...
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03/21/2023
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation
Although deep learning (DL) shows powerful potential in cell segmentatio...
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03/17/2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Neural Architecture Search (NAS) has shown promising performance in the ...
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02/28/2023
TextIR: A Simple Framework for Text-based Editable Image Restoration
Most existing image restoration methods use neural networks to learn str...
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02/14/2023
Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Mixed-precision quantization (MPQ) suffers from time-consuming policy se...
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09/16/2022
Multi-channel Nuclear Norm Minus Frobenius Norm Minimization for Color Image Denoising
Color image denoising is frequently encountered in various image process...
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09/15/2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
Multi-agent reinforcement learning (MARL) recently has achieved tremendo...
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06/17/2022
Thompson Sampling for Robust Transfer in Multi-Task Bandits
We study the problem of online multi-task learning where the tasks are p...
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05/24/2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing
Recently, the compression and deployment of powerful deep neural network...
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05/22/2022
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
While reinforcement learning (RL) algorithms are achieving state-of-the-...
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05/08/2022
SeqNet: An Efficient Neural Network for Automatic Malware Detection
Malware continues to evolve rapidly, and more than 450,000 new samples a...
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04/29/2022
Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach
With the advancement of deep learning techniques, major cloud providers ...
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04/21/2022
Arbitrary Bit-width Network: A Joint Layer-Wise Quantization and Adaptive Inference Approach
Conventional model quantization methods use a fixed quantization scheme ...
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04/16/2022
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning
Bayesian policy reuse (BPR) is a general policy transfer framework for s...
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03/17/2022
A Systematic Study of Android Non-SDK (Hidden) Service API Security
Android allows apps to communicate with its system services via system s...
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03/16/2022
Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance
The exponentially large discrete search space in mixed-precision quantiz...
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03/10/2022
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach
Temporal Sentence Grounding in Videos (TSGV), which aims to ground a nat...
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03/06/2022
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Multi-agent settings remain a fundamental challenge in the reinforcement...
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02/24/2022
Fully Self-Supervised Learning for Semantic Segmentation
In this work, we present a fully self-supervised framework for semantic ...
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10/15/2021
Carbon Neutrality in Data Center
Data centers are carbon-intensive enterprises due to their massive energ...
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09/16/2021
A Survey on Temporal Sentence Grounding in Videos
Temporal sentence grounding in videos(TSGV), which aims to localize one ...
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09/09/2021
EvilModel 2.0: Hiding Malware Inside of Neural Network Models
While artificial intelligence (AI) is widely applied in various areas, i...
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07/19/2021
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer
We study multi-task reinforcement learning (RL) in tabular episodic Mark...
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07/19/2021
EvilModel: Hiding Malware Inside of Neural Network Models
Delivering malware covertly and evasively is critical to advanced malwar...
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06/11/2021
Online Continual Adaptation with Active Self-Training
Models trained with offline data often suffer from continual distributio...
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05/29/2021
ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels
Dynamic analysis based on the full-system emulator QEMU is widely used f...
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05/29/2021
Towards Efficient Compressive Data Collection in the Internet of Things
It is of paramount importance to achieve efficient data collection in th...
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05/06/2021
Multimedia Edge Computing
In this paper, we investigate the recent studies on multimedia edge comp...
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04/15/2021
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
For real-world deployments, it is critical to allow robots to navigate i...
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03/28/2021
Accurate Assessment via Process Data
Accurate assessment of students' ability is the key task of a test. Asse...
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03/25/2021
Deepfake Forensics via An Adversarial Game
With the progress in AI-based facial forgery (i.e., deepfake), people ar...
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03/07/2021
Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
The boom of DL technology leads to massive DL models built and shared, w...
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12/07/2020
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation
We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...
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12/07/2020
STSIR: Spatial Temporal Pandemic Model with Mobility Data
With the outbreak of COVID-19, how to mitigate and suppress its spread i...
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11/02/2020
Tinker-HP : Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems
We present the extension of the Tinker-HP package (Lagardère et al., Che...
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10/30/2020
Towards Understanding and Demystifying Bitcoin Mixing Services
The popularity of Bitcoin benefits a lot from its anonymity. However, th...
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10/29/2020
Multitask Bandit Learning through Heterogeneous Feedback Aggregation
In many real-world applications, multiple agents seek to learn how to pe...
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10/23/2020
Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX
Since its debut, SGX has been used in many applications, e.g., secure da...
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10/13/2020
CryptMPI: A Fast Encrypted MPI Library
The cloud infrastructure must provide security for High-Performance Comp...
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10/13/2020
Performance Evaluation and Modeling of Cryptographic Libraries for MPI Communications
In order for High-Performance Computing (HPC) applications with data sec...
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10/09/2020
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
Evolution strategies (ES), as a family of black-box optimization algorit...
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09/16/2020
AI-powered Covert Botnet Command and Control on OSNs
Botnet is one of the major threats to computer security. In previous bot...
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08/29/2020
Statistical Analysis of Multi-Relational Network Recovery
In this paper, we develop asymptotic theories for a class of latent vari...
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08/29/2020
