b'Zhi Li'

research

∙ 05/07/2023

Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity

Deep Reinforcement Learning (DRL) has exhibited efficacy in resolving th...

3 Jinghao Xin, et al. ∙

research

∙ 03/24/2023

PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution

Stereo image super-resolution aims to boost the performance of image sup...

0 Hansheng Guo, et al. ∙

research

∙ 03/16/2023

Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning

The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) ...

0 Min Hua, et al. ∙

research

∙ 03/16/2023

Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less

Face Anti-Spoofing (FAS) is recently studied under the continual learnin...

0 Rizhao Cai, et al. ∙

research

∙ 03/01/2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation

Sequential Recommendation is a widely studied paradigm for learning user...

0 Yongqiang Han, et al. ∙

research

∙ 02/25/2023

Autonomous Exploration and Mapping for Mobile Robots via Cumulative Curriculum Reinforcement Learning

Deep reinforcement learning (DRL) has been widely applied in autonomous ...

0 Zhi Li, et al. ∙

research

∙ 02/20/2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification

Deep learning-based algorithms, e.g., convolutional networks, have signi...

0 Mingyue Cheng, et al. ∙

research

∙ 02/10/2023

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification

Physiological signals are high-dimensional time series of great practica...

0 Wenqiang He, et al. ∙

research

∙ 01/02/2023

Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge

The widespread code reuse allows vulnerabilities to proliferate among a ...

0 Shouguo Yang, et al. ∙

research

∙ 11/09/2022

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF

Recognizing useful named entities plays a vital role in medical informat...

0 Junzhe Jiang, et al. ∙

research

∙ 11/07/2022

Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations

Deep learning-based recommender systems may lead to over-fitting when la...

0 Zhi Li, et al. ∙

research

∙ 11/05/2022

One Person, One Model–Learning Compound Router for Sequential Recommendation

Deep learning has brought significant breakthroughs in sequential recomm...

0 Zhiding Liu, et al. ∙

research

∙ 10/24/2022

Model-based Evaluation of Driver Control Workloads in Haptic-based Driver Assistance Systems

This study presents a novel approach for modeling and simulating human-v...

0 Kenechukwu C. Mbanisi, et al. ∙

research

∙ 09/06/2022

Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning

The future transportation system will be a multi-agent network where con...

0 Min Hua, et al. ∙

research

∙ 08/17/2022

MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes

3D human motion capture from monocular RGB images respecting interaction...

3 Zhi Li, et al. ∙

research

∙ 08/10/2022

Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues

Face anti-spoofing (FAS) and face forgery detection play vital roles in ...

8 Zitong Yu, et al. ∙

research

∙ 07/24/2022

Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions

Action understanding has evolved into the era of fine granularity, as mo...

0 Zhi Li, et al. ∙

research

∙ 07/11/2022

PF4Microservices: A decomposion scheme for microservices based on Problem Frames

In recent years, microservice architecture has become a popular architec...

0 Zhi Li, et al. ∙

research

∙ 05/11/2022

HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance

Marker-less monocular 3D human motion capture (MoCap) with scene interac...

0 Soshi Shimada, et al. ∙

research

∙ 05/08/2022

One-Class Knowledge Distillation for Face Presentation Attack Detection

Face presentation attack detection (PAD) has been extensively studied by...

7 Zhi Li, et al. ∙

research

∙ 04/26/2022

Estimating the Resize Parameter in End-to-end Learned Image Compression

We describe a search-free resizing framework that can further improve th...

2 Li-Heng Chen, et al. ∙

research

∙ 04/18/2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction

Network-aware cascade size prediction aims to predict the final reposted...

3 Likang Wu, et al. ∙

research

∙ 03/24/2022

A Preliminary Research on Space Situational Awareness Based on Event Cameras

Event camera is a new type of sensor that is different from traditional ...

5 Kun Xiao, et al. ∙

research

∙ 02/22/2022

Banding vs. Quality: Perceptual Impact and Objective Assessment

Staircase-like contours introduced to a video by quantization in flat ar...

0 Lukas Krasula, et al. ∙

research

∙ 02/07/2022

ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning

Cooperative learning, that enables two or more data owners to jointly tr...

7 Hao Wang, et al. ∙

research

∙ 10/18/2021

Asymmetric Modality Translation For Face Presentation Attack Detection

Face presentation attack detection (PAD) is an essential measure to prot...

9 Zhi Li, et al. ∙

research

∙ 10/13/2021

Learning Meta Pattern for Face Anti-Spoofing

Face Anti-Spoofing (FAS) is essential to secure face recognition systems...

4 Rizhao Cai, et al. ∙

research

∙ 09/04/2021

Understanding TEE Containers, Easy to Use? Hard to Trust

As an emerging technique for confidential computing, trusted execution e...

0 Weijie Liu, et al. ∙

research

∙ 08/16/2021

AutoChart: A Dataset for Chart-to-Text Generation Task

The analytical description of charts is an exciting and important resear...

16 Jiawen Zhu, et al. ∙

research

∙ 05/27/2021

Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective

In the online innovation market, the fund-raising performance of the sta...

6 Likang Wu, et al. ∙

research

∙ 05/20/2021

Convolutional Block Design for Learned Fractional Downsampling

The layers of convolutional neural networks (CNNs) can be used to alter ...

0 Li-Heng Chen, et al. ∙

research

∙ 04/08/2021

BSTC: A Large-Scale Chinese-English Speech Translation Dataset

This paper presents BSTC (Baidu Speech Translation Corpus), a large-scal...

4 Ruiqing Zhang, et al. ∙

research

∙ 03/20/2021

Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning

Crowd-sourcing has become a promising way to build a feature-based indoo...

0 Caifa Zhou, et al. ∙

research

∙ 03/10/2021

Enhancing VMAF through New Feature Integration and Model Combination

VMAF is a machine learning based video quality assessment method, origin...

4 Fan Zhang, et al. ∙

research

∙ 02/10/2021

Learning Skill Equivalencies Across Platform Taxonomies

Assessment and reporting of skills is a central feature of many digital ...

8 Zhi Li, et al. ∙

research

∙ 02/01/2021

Direct and Indirect Communication in Multi-Human Multi-Robot Interaction

How can multiple humans interact with multiple robots? The goal of our r...

0 Jayam Patel, et al. ∙

research

∙ 01/26/2021

Transparency in Multi-Human Multi-Robot Interaction

Transparency is a key factor in improving the performance of human-robot...

0 Jayam Patel, et al. ∙

research

∙ 01/16/2021

Learning the Implicit Semantic Representation on Graph-Structured Data

Existing representation learning methods in graph convolutional networks...

18 Likang Wu, et al. ∙

research

∙ 10/01/2020

Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy

The development of rigorous quality assessment model relies on the colle...

5 Suiyi Ling, et al. ∙

research

∙ 09/25/2020

Sequence-to-Sequence Load Disaggregation Using Multi-Scale Residual Neural Network

With the increased demand on economy and efficiency of measurement techn...

0 Gan Zhou, et al. ∙

research

∙ 07/03/2020

Perceptually Optimizing Deep Image Compression

Mean squared error (MSE) and ℓ_p norms have largely dominated the measur...

1 Li-Heng Chen, et al. ∙

research

∙ 04/05/2020

A Simple Model for Subject Behavior in Subjective Experiments

In a subjective experiment to evaluate the perceptual audiovisual qualit...

0 Zhi Li, et al. ∙

research

∙ 03/01/2020

GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling

In the big data era, data labeling can be obtained through crowdsourcing...

12 Jing Li, et al. ∙

research

∙ 12/14/2019

Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model

Well begun is half done. In the crowdfunding market, the early fundraisi...

0 Likang Wu, et al. ∙

research

∙ 10/19/2019

ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression

The use of ℓ_p(p=1,2) norms has largely dominated the measurement of los...

11 Li-Heng Chen, et al. ∙

research

∙ 09/10/2019

Generalized Score Distribution

A class of discrete probability distributions contains distributions wit...

0 Lucjan Janowski, et al. ∙

research

∙ 05/30/2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach

In fashion recommender systems, each product usually consists of multipl...

0 Min Hou, et al. ∙

research

∙ 03/14/2019

Notation for Subject Answer Analysis

It is believed that consistent notation helps the research community in ...

0 Lucjan Janowski, et al. ∙

research

∙ 01/01/2019

Blockchain-Based Cloud Manufacturing: Decentralization

Recently, there has been growing interest in the field of cloud manufact...

0 Ali Vatankhah Barenji, et al. ∙

research

∙ 08/03/2018

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

In the modern e-commerce, the behaviors of customers contain rich inform...

0 Zhi Li, et al. ∙

Zhi Li

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