b'Zhi Wang'

research

∙ 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...

0 Jie Zhang, et al. ∙

research

∙ 08/08/2023

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling

Current learning-based edge caching schemes usually suffer from dynamic ...

0 Bowei He, et al. ∙

research

∙ 08/01/2023

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization

Evolutionary reinforcement learning (ERL) algorithms recently raise atte...

0 Junyi Wang, et al. ∙

research

∙ 07/16/2023

Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning

Goal-conditioned reinforcement learning (RL) is an interesting extension...

0 Hongyu Ding, et al. ∙

research

∙ 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...

0 Yiwen Shan, et al. ∙

research

∙ 05/12/2023

Knowledge Soft Integration for Multimodal Recommendation

One of the main challenges in modern recommendation systems is how to ef...

0 Kai Ouyang, et al. ∙

research

∙ 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...

0 Qingpeng Zhao, et al. ∙

research

∙ 03/21/2023

Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation

Although deep learning (DL) shows powerful potential in cell segmentatio...

0 Fang Hu, et al. ∙

research

∙ 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 ...

0 Chen Tang, et al. ∙

research

∙ 02/28/2023

TextIR: A Simple Framework for Text-based Editable Image Restoration

Most existing image restoration methods use neural networks to learn str...

0 Yunpeng Bai, et al. ∙

research

∙ 02/14/2023

Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization

Mixed-precision quantization (MPQ) suffers from time-consuming policy se...

0 Chen Tang, et al. ∙

research

∙ 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...

0 Yiwen Shan, et al. ∙

research

∙ 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...

0 Zichuan Liu, et al. ∙

research

∙ 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...

0 Zhi Wang, et al. ∙

research

∙ 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...

6 Zhiwei Hao, et al. ∙

research

∙ 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-...

0 Zhi Wang, et al. ∙

research

∙ 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...

0 Jiawei Xu, et al. ∙

research

∙ 04/29/2022

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

With the advancement of deep learning techniques, major cloud providers ...

0 Shuzhao Xie, et al. ∙

research

∙ 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 ...

0 Chen Tang, et al. ∙

research

∙ 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...

0 Jinmei Liu, et al. ∙

research

∙ 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...

0 Yi He, et al. ∙

research

∙ 03/16/2022

Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance

The exponentially large discrete search space in mixed-precision quantiz...

0 Chen Tang, et al. ∙

research

∙ 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...

0 Xiaohan Lan, et al. ∙

research

∙ 03/06/2022

Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation

Multi-agent settings remain a fundamental challenge in the reinforcement...

0 Donghan Xie, et al. ∙

research

∙ 02/24/2022

Fully Self-Supervised Learning for Semantic Segmentation

In this work, we present a fully self-supervised framework for semantic ...

0 Yuan Wang, et al. ∙

research

∙ 10/15/2021

Carbon Neutrality in Data Center

Data centers are carbon-intensive enterprises due to their massive energ...

0 Zhiwei Cao, et al. ∙

research

∙ 09/16/2021

A Survey on Temporal Sentence Grounding in Videos

Temporal sentence grounding in videos(TSGV), which aims to localize one ...

10 Xiaohan Lan, et al. ∙

research

∙ 09/09/2021

EvilModel 2.0: Hiding Malware Inside of Neural Network Models

While artificial intelligence (AI) is widely applied in various areas, i...

1 Zhi Wang, et al. ∙

research

∙ 07/19/2021

Provably Efficient Multi-Task Reinforcement Learning with Model Transfer

We study multi-task reinforcement learning (RL) in tabular episodic Mark...

0 Chicheng Zhang, et al. ∙

research

∙ 07/19/2021

EvilModel: Hiding Malware Inside of Neural Network Models

Delivering malware covertly and evasively is critical to advanced malwar...

0 Zhi Wang, et al. ∙

research

∙ 06/11/2021

Online Continual Adaptation with Active Self-Training

Models trained with offline data often suffer from continual distributio...

0 Shiji Zhou, et al. ∙

research

∙ 05/29/2021

ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels

Dynamic analysis based on the full-system emulator QEMU is widely used f...

0 Muhui Jiang, et al. ∙

research

∙ 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...

0 Peng Sun, et al. ∙

research

∙ 05/06/2021

Multimedia Edge Computing

In this paper, we investigate the recent studies on multimedia edge comp...

0 Zhi Wang, et al. ∙

research

∙ 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...

0 Yuanyang Zhu, et al. ∙

research

∙ 03/28/2021

Accurate Assessment via Process Data

Accurate assessment of students' ability is the key task of a test. Asse...

0 Susu Zhang, et al. ∙

research

∙ 03/25/2021

Deepfake Forensics via An Adversarial Game

With the progress in AI-based facial forgery (i.e., deepfake), people ar...

0 Zhi Wang, et al. ∙

research

∙ 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...

12 Linghan Meng, et al. ∙

research

∙ 12/07/2020

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation

We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...

17 Alexander I. Cowen-Rivers, et al. ∙

research

∙ 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...

0 Wang Pan, et al. ∙

research

∙ 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...

0 Olivier Adjoua, et al. ∙

research

∙ 10/30/2020

Towards Understanding and Demystifying Bitcoin Mixing Services

The popularity of Bitcoin benefits a lot from its anonymity. However, th...

0 Lei Wu, et al. ∙

research

∙ 10/29/2020

Multitask Bandit Learning through Heterogeneous Feedback Aggregation

In many real-world applications, multiple agents seek to learn how to pe...

0 Zhi Wang, et al. ∙

research

∙ 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...

0 Yuan Chen, et al. ∙

research

∙ 10/13/2020

CryptMPI: A Fast Encrypted MPI Library

The cloud infrastructure must provide security for High-Performance Comp...

0 Abu Naser, et al. ∙

research

∙ 10/13/2020

Performance Evaluation and Modeling of Cryptographic Libraries for MPI Communications

In order for High-Performance Computing (HPC) applications with data sec...

0 Abu Naser, et al. ∙

research

∙ 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...

0 Zhi Wang, et al. ∙

research

∙ 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...

0 Zhi Wang, et al. ∙

research

∙ 08/29/2020

Statistical Analysis of Multi-Relational Network Recovery

In this paper, we develop asymptotic theories for a class of latent vari...

0 Zhi Wang, et al. ∙

research

∙ 08/29/2020

Subtask Analysis of Process Data Through a Predictive Model

Response process data collected from human-computer interactive items co...

5 Zhi Wang, et al. ∙

Zhi Wang

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