Di Liu | DeepAI

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Featured Co-authors

Fei Wang
209 publications
Ting Liu
188 publications
Yu Sun
127 publications
Han Zhang
115 publications
Shuang Li
106 publications
Han Hu
106 publications
Tony Q. S. Quek
105 publications
Gang Chen
92 publications
Qiang Li
86 publications
Wei Feng
78 publications
Jing Xu
76 publications

∙ 09/02/2023

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency

The task of shape abstraction with semantic part consistency is challeng...

0 Di Liu, et al. ∙

∙ 08/25/2023

Network Embedding Using Sparse Approximations of Random Walks

In this paper, we propose an efficient numerical implementation of Netwo...

0 Paula Mercurio, et al. ∙

∙ 07/25/2023

A Pairwise Dataset for GUI Conversion and Retrieval between Android Phones and Tablets

With the popularity of smartphones and tablets, users have become accust...

0 Han Hu, et al. ∙

∙ 06/30/2023

TransDetector: A Transformer-Based Detector for Underwater Acoustic Differential OFDM Communications

Inter-carrier interference (ICI) and noise mitigation is crucial for pre...

0 Yuzhou Li, et al. ∙

∙ 06/08/2023

Improving Negative-Prompt Inversion via Proximal Guidance

DDIM inversion has revealed the remarkable potential of real image editi...

0 Ligong Han, et al. ∙

∙ 06/04/2023

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning

A major enduring focus of clinical workflows is disease analytics and di...

0 Yunhe Gao, et al. ∙

∙ 03/23/2023

Improving Generalization with Domain Convex Game

Domain generalization (DG) tends to alleviate the poor generalization ca...

2 Fangrui Lv, et al. ∙

∙ 03/16/2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning

Prototype, as a representation of class embeddings, has been explored to...

2 Zhuowei Li, et al. ∙

∙ 08/30/2022

You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms

Benefiting from the search efficiency, differentiable neural architectur...

0 Xiangzhong Luo, et al. ∙

∙ 06/01/2022

Multi-scale frequency separation network for image deblurring

Image deblurring aims to restore the detailed texture information or str...

0 Yanni Zhang, et al. ∙

∙ 03/27/2022

Causality Inspired Representation Learning for Domain Generalization

Domain generalization (DG) is essentially an out-of-distribution problem...

13 Fangrui Lv, et al. ∙

∙ 03/21/2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Combining information from multi-view images is crucial to improve the p...

6 Di Liu, et al. ∙

∙ 02/28/2022

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks

Transformers have emerged to be successful in a number of natural langua...

43 Yunhe Gao, et al. ∙

∙ 02/24/2022

Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling

Recent works reveal that re-calibrating the intermediate activation of a...

0 Zhi-Yuan Zhang, et al. ∙

∙ 01/19/2022

FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks

Convolutional Neural Networks (CNNs) demonstrate great performance in va...

0 Shien Zhu, et al. ∙

∙ 01/19/2022

CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices

The core issue of cyberspace detecting and mapping is to accurately iden...

0 Dawei Li, et al. ∙

∙ 12/08/2021

Pareto Domain Adaptation

Domain adaptation (DA) attempts to transfer the knowledge from a labeled...

6 Fangrui Lv, et al. ∙

∙ 12/06/2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

In this paper, we focus on learning effective entity matching models ove...

9 Jian Liang, et al. ∙

∙ 03/11/2021

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search

In this paper, we present a novel multi-objective hardware-aware neural ...

0 Xiangzhong Luo, et al. ∙

∙ 11/25/2020

Bringing AI To Edge: From Deep Learning's Perspective

Edge computing and artificial intelligence (AI), especially deep learnin...

0 Di Liu, et al. ∙

∙ 10/29/2020

Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques

Using random walk sampling methods for feature learning on networks, we ...

0 Paula Mercurio, et al. ∙

∙ 07/17/2020

A fast approximate skeleton with guarantees for any cloud of points in a Euclidean space

The tree reconstruction problem is to find an embedded straight-line tre...

0 Yury Elkin, et al. ∙

∙ 03/28/2020

Energy-Aware Offloading in Time-Sensitive Networks with Mobile Edge Computing

Mobile Edge Computing (MEC) enables rich services in close proximity to ...

0 Mingxiong Zhao, et al. ∙

∙ 08/17/2018

The Function Transformation Omics - Funomics

There are no two identical leaves in the world, so how to find effective...

0 Yongshuai Jiang, et al. ∙

∙ 05/04/2016

EDF-VD Scheduling of Mixed-Criticality Systems with Degraded Quality Guarantees

This paper studies real-time scheduling of mixed-criticality systems whe...

0 Di Liu, et al. ∙

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