Search Results for author: Shuang Liang

Found 35 papers, 11 papers with code

Enhancing Molecular Property Prediction via Mixture of Collaborative Experts

1 code implementation6 Dec 2023 Xu Yao, Shuang Liang, Songqiao Han, Hailiang Huang

To address data scarcity and imbalance in MPP, some studies have adopted Graph Neural Networks (GNN) as an encoder to extract commonalities from molecular graphs.

Decision Making Molecular Property Prediction +1

UAV Swarm-enabled Collaborative Secure Relay Communications with Time-domain Colluding Eavesdropper

no code implementations3 Oct 2023 Chuang Zhang, Geng Sun, Qingqing Wu, Jiahui Li, Shuang Liang, Dusit Niyato, Victor C. M. Leung

Unmanned aerial vehicles (UAVs) as aerial relays are practically appealing for assisting Internet of Things (IoT) network.

Joint Power and 3D Trajectory Optimization for UAV-enabled Wireless Powered Communication Networks with Obstacles

no code implementations30 Sep 2023 Hongyang Pan, Yanheng Liu, Geng Sun, Junsong Fan, Shuang Liang, Chau Yuen

For UTTOP, we first introduce a pretreatment method, and then use an improved particle swarm optimization with Normal distribution initialization, Genetic mechanism, Differential mechanism and Pursuit operator (PSO-NGDP) to deal with this sub optimization problem.


Joint Scheduling and Trajectory Optimization of Charging UAV in Wireless Rechargeable Sensor Networks

no code implementations30 Sep 2023 Yanheng Liu, Hongyang Pan, Geng Sun, Aimin Wang, Jiahui Li, Shuang Liang

Wireless rechargeable sensor networks with a charging unmanned aerial vehicle (CUAV) have the broad application prospects in the power supply of the rechargeable sensor nodes (SNs).


Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks with Edge and Fog Computing for Post-Disaster Rescue

no code implementations17 Aug 2023 Geng Sun, Long He, Zemin Sun, Qingqing Wu, Shuang Liang, Jiahui Li, Dusit Niyato, Victor C. M. Leung

Unmanned aerial vehicles (UAVs) play an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost.


Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval

no code implementations11 Aug 2023 Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang

UACTN decouples the representation learning of sketches and 3D shapes into two separate tasks: classification-based sketch uncertainty learning and 3D shape feature transfer.

3D Shape Retrieval Representation Learning +1

Described Object Detection: Liberating Object Detection with Flexible Expressions

2 code implementations NeurIPS 2023 Chi Xie, Zhao Zhang, Yixuan Wu, Feng Zhu, Rui Zhao, Shuang Liang

In this paper, we advance them to a more practical setting called Described Object Detection (DOD) by expanding category names to flexible language expressions for OVD and overcoming the limitation of REC only grounding the pre-existing object.

Binary Classification Described Object Detection +4

EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps

no code implementations18 Jul 2023 Yuzhe He, Shuang Liang, Xiaofei Rui, Chengying Cai, Guowei Wan

The experimental results show that our method achieves centimeter-level localization accuracy, and outperforms existing methods using vectorized maps by a large margin.

Autonomous Driving Semantic Segmentation

Category Query Learning for Human-Object Interaction Classification

1 code implementation CVPR 2023 Chi Xie, Fangao Zeng, Yue Hu, Shuang Liang, Yichen Wei

Unlike most previous HOI methods that focus on learning better human-object features, we propose a novel and complementary approach called category query learning.

Classification Human-Object Interaction Detection +1

Temporal knowledge graph representation learning with local and global evolutions

1 code implementation Knowledge-Based Systems 2022 Jiasheng Zhang, Shuang Liang, Yongpan Sheng, Jie Shao

Temporal knowledge graph (TKG) representation learning aims to project entities and relations in TKG to low-dimensional vector space while preserving the evolutionary nature of TKG.

Graph Representation Learning

Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access

1 code implementation4 Apr 2022 Shuang Liang, Yinan Zou, Yong Zhou

Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks.

Action Detection Activity Detection

Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward

no code implementations12 Dec 2021 Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang

These scenarios indeed correspond to the vulnerabilities of the under-test driving policies, thus are meaningful for their further improvements.

Autonomous Driving Multi-agent Reinforcement Learning +1

Sparse Signal Processing for Massive Connectivity via Mixed-Integer Programming

no code implementations20 Aug 2021 Shuang Liang, Yuanming Shi, Yong Zhou

Although an enhanced estimation performance in terms of the mean squared error (MSE) can be achieved, the weighted $l_1$-norm minimization algorithm is still a convex relaxation of the original group-sparse matrix estimation problem, yielding a suboptimal solution.

Action Detection Activity Detection +1

A hybrid deep learning framework for Covid-19 detection via 3D Chest CT Images

no code implementations8 Jul 2021 Shuang Liang

In this paper, we present a hybrid deep learning framework named CTNet which combines convolutional neural network and transformer together for the detection of COVID-19 via 3D chest CT images.

COVID-19 Diagnosis

Realizing Majorana fermion modes in the Kitaev model

no code implementations4 Mar 2021 Jia-Xing Zhang, Lu Yang, Shuang Liang, Wei Chen, Qiang-Hua Wang

We study the possibility to realize Majorana zero mode that's robust and may be easily manipulated for braiding in quantum computing in the ground state of the Kitaev model in this work.

Strongly Correlated Electrons

aw_nas: A Modularized and Extensible NAS framework

1 code implementation25 Nov 2020 Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang

Neural Architecture Search (NAS) has received extensive attention due to its capability to discover neural network architectures in an automated manner.

Adversarial Robustness Neural Architecture Search

Evaluating Efficient Performance Estimators of Neural Architectures

1 code implementation NeurIPS 2021 Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang

Conducting efficient performance estimations of neural architectures is a major challenge in neural architecture search (NAS).

Neural Architecture Search

3D Dense Face Alignment via Graph Convolution Networks

no code implementations11 Apr 2019 Huawei Wei, Shuang Liang, Yichen Wei

Recently, 3D face reconstruction and face alignment tasks are gradually combined into one task: 3D dense face alignment.

3D Face Reconstruction Face Alignment

DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators

no code implementations20 Feb 2019 Yu Xing, Shuang Liang, Lingzhi Sui, Xijie Jia, Jiantao Qiu, Xin Liu, Yushun Wang, Yu Wang, Yi Shan

On the Xilinx ZU2 @330 MHz and ZU9 @330 MHz, we achieve equivalently state-of-the-art performance on our benchmarks by na\"ive implementations without optimizations, and the throughput is further improved up to 1. 26x by leveraging heterogeneous optimizations in DNNVM.

Pseudo Mask Augmented Object Detection

no code implementations CVPR 2018 Xiangyun Zhao, Shuang Liang, Yichen Wei

In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.

Instance Segmentation object-detection +4

Compositional Human Pose Regression

1 code implementation ICCV 2017 Xiao Sun, Jiaxiang Shang, Shuang Liang, Yichen Wei

A central problem is that the structural information in the pose is not well exploited in the previous regression methods.

3D Human Pose Estimation 3D Pose Estimation +1

Deep Kinematic Pose Regression

no code implementations17 Sep 2016 Xingyi Zhou, Xiao Sun, Wei zhang, Shuang Liang, Yichen Wei

In this work, we propose to directly embed a kinematic object model into the deep neutral network learning for general articulated object pose estimation.

3D Human Pose Estimation regression +1

Attribute Recognition from Adaptive Parts

no code implementations5 Jul 2016 Luwei Yang, Ligen Zhu, Yichen Wei, Shuang Liang, Ping Tan

Previous part-based attribute recognition approaches perform part detection and attribute recognition in separate steps.

Cascaded Hand Pose Regression

no code implementations CVPR 2015 Xiao Sun, Yichen Wei, Shuang Liang, Xiaoou Tang, Jian Sun

We extends the previous 2D cascaded object pose regression work [9] in two aspects so that it works better for 3D articulated objects.

3D Hand Pose Estimation regression

Saliency Optimization from Robust Background Detection

no code implementations CVPR 2014 Wangjiang Zhu, Shuang Liang, Yichen Wei, Jian Sun

However, their usage of boundary prior is very simple, fragile, and the integration with other cues is mostly heuristic.

object-detection RGB Salient Object Detection +1

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