Search Results for author: Yue Chen

Found 38 papers, 6 papers with code

Fragment-based t-SMILES for de novo molecular generation

1 code implementation4 Jan 2023 Juan-Ni Wu, Tong Wang, Yue Chen, Li-Juan Tang, Hai-Long Wu, Ru-Qin Yu

At present, sequence-based and graph-based models are two of popular used molecular generative models.

Language Modelling

Distributionally Robust Planning Considering Wake Effect in Wind Farms and Decision-Dependent Uncertainty

no code implementations30 Dec 2022 Rui Xie, Yue Chen

Wake effect in a wind farm can cause wind speed deficits and a decrease in power generation of downstream wind turbines (WTs), which has a nonnegligible impact on wind farm planning but was seldom considered.

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields

no code implementations21 Nov 2022 Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang

Neural Radiance Fields (NeRF) have achieved photorealistic novel views synthesis; however, the requirement of accurate camera poses limits its application.

Place Recognition under Occlusion and Changing Appearance via Disentangled Representations

1 code implementation21 Nov 2022 Yue Chen, Xingyu Chen

Place recognition is a critical and challenging task for mobile robots, aiming to retrieve an image captured at the same place as a query image from a database.

Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory

no code implementations14 Sep 2022 Yupei Zhang, Xianjin Dai, Zhen Tian, Yang Lei, Jacob F. Wynne, Pretesh Patel, Yue Chen, Tian Liu, Xiaofeng Yang

We further tested the proposed model on 69 landmarks from the testing dataset that has a similar image pattern to the training pattern, resulting in a mean tracking error of 0. 94+/-0. 83 mm.

Landmark Tracking regression

Zero-shot Cross-Linguistic Learning of Event Semantics

no code implementations5 Jul 2022 Malihe Alikhani, Thomas Kober, Bashar Alhafni, Yue Chen, Mert Inan, Elizabeth Nielsen, Shahab Raji, Mark Steedman, Matthew Stone

Typologically diverse languages offer systems of lexical and grammatical aspect that allow speakers to focus on facets of event structure in ways that comport with the specific communicative setting and discourse constraints they face.

Distributed Coordination of Charging Stations Considering Aggregate EV Power Flexibility

no code implementations14 Jun 2022 Dongxiang Yan, Chengbin Ma, Yue Chen

However, effective management of charging stations is challenging due to individual EV owners' privacy concerns, competing interests of different stations, and the coupling distribution network constraints.

Management

Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer

no code implementations10 May 2022 Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Xianbin Wang, Lajos Hanzo

Despite the coupled nature of the phase-shift model, the formulated problem is solved by invoking a hybrid continuous and discrete phase-shift control policy.

reinforcement-learning reinforcement Learning

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

1 code implementation27 Mar 2022 Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang

Neural volume rendering enables photo-realistic renderings of a human performer in free-view, a critical task in immersive VR/AR applications.

Smart Director: An Event-Driven Directing System for Live Broadcasting

no code implementations11 Jan 2022 Yingwei Pan, Yue Chen, Qian Bao, Ning Zhang, Ting Yao, Jingen Liu, Tao Mei

To our best knowledge, our system is the first end-to-end automated directing system for multi-camera sports broadcasting, completely driven by the semantic understanding of sports events.

Event Detection Highlight Detection

Towards Transactive Energy: An Analysis of Information-related Practical Issues

no code implementations28 Dec 2021 Yue Chen, Yu Yang, Xiaoyuan Xu

The development of distributed energy resources, such as rooftop photovoltaic (PV) panels, batteries, and electric vehicles (EVs), has decentralized our power system operation, where transactive energy markets empower local energy exchanges.

Privacy Preserving

A New Look at AI-Driven NOMA-F-RANs: Features Extraction, Cooperative Caching, and Cache-Aided Computing

no code implementations2 Dec 2021 Zhong Yang, Yaru Fu, Yuanwei Liu, Yue Chen, Junshan Zhang

Non-orthogonal multiple access (NOMA) enabled fog radio access networks (NOMA-F-RANs) have been taken as a promising enabler to release network congestion, reduce delivery latency, and improve fog user equipments' (F-UEs') quality of services (QoS).

Edge-computing

Hallucinated Neural Radiance Fields in the Wild

no code implementations CVPR 2022 Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang

This paper studies the problem of hallucinated NeRF: i. e., recovering a realistic NeRF at a different time of day from a group of tourism images.

Novel View Synthesis

Storage and Transmission Capacity Requirements of a Remote Solar Power Generation System

no code implementations13 Sep 2021 Yue Chen, Wei Wei, Cheng Wang, Miadreza Shafie-khah, João P. S. Catalão

Large solar power stations usually locate in remote areas and connect to the main grid via a long transmission line.

DCT and DST Filtering with Sparse Graph Operators

no code implementations22 Mar 2021 Keng-Shih Lu, Antonio Ortega, Debargha Mukherjee, Yue Chen

These sparse operators can be viewed as graph filters operating in the DCT domain, which allows us to approximate any DCT graph filter by a MPGF, leading to a design with more degrees of freedom than the conventional PGF approach.

Integrated 3C in NOMA-enabled Remote-E-Health Systems

no code implementations5 Jan 2021 Xiao Liu, Yuanwei Liu, Zhong Yang, Xinwei Yue, Chuan Wang, Yue Chen

A novel framework is proposed to integrate communication, control and computing (3C) into the fifth-generation and beyond (5GB) wireless networks for satisfying the ultra-reliable low-latency connectivity requirements of remote-e-Health systems.

Deep Learning for Latent Events Forecasting in Twitter Aided Caching Networks

no code implementations4 Jan 2021 Zhong Yang, Yuanwei Liu, Yue Chen, Joey Tianyi Zhou

A novel Twitter context aided content caching (TAC) framework is proposed for enhancing the caching efficiency by taking advantage of the legibility and massive volume of Twitter data.

Popularity Forecasting

Learning-Based Predictive Control via Real-Time Aggregate Flexibility

no code implementations21 Dec 2020 Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman

To be used effectively, an aggregator must be able to communicate the available flexibility of the loads they control, as known as the aggregate flexibility to a system operator.

Optimization and Control Systems and Control Systems and Control

Intelligent Reflecting Surface Aided Multi-Cell NOMA Networks

no code implementations7 Dec 2020 Wanli Ni, Xiao Liu, Yuanwei Liu, Hui Tian, Yue Chen

This paper proposes a novel framework of resource allocation in intelligent reflecting surface (IRS) aided multi-cell non-orthogonal multiple access (NOMA) networks, where a sum-rate maximization problem is formulated.

Path Design and Resource Management for NOMA enhanced Indoor Intelligent Robots

no code implementations23 Nov 2020 Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen, Xianbin Wang

Our simulation results demonstrate that 1) With the aid of NOMA techniques, the communication reliability of IRs is effectively improved; 2) The radio map is qualified to be a virtual training environment, and its statistical channel state information improves training efficiency by about 30%; 3) The proposed DT-DPG algorithm is superior to the conventional deep deterministic policy gradient (DDPG) algorithm in terms of optimization performance, training time, and anti-local optimum ability.

Management reinforcement-learning +1

Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading

1 code implementation18 Oct 2020 Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen

Afterward, a mutual deep Q-network (MDQN) algorithm is proposed to jointly determine the optimal 3D trajectory and power allocation of UAVs.

Multi-agent Reinforcement Learning reinforcement-learning +1

NOMA in UAV-aided cellular offloading: A machine learning approach

no code implementations18 Oct 2020 Ruikang Zhong, Xiao Liu, Yuanwei Liu, Yue Chen

A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while non-orthogonal multiple access (NOMA) technique is employed at each UAV to further improve the spectrum efficiency of the wireless network.

BIG-bench Machine Learning

Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks

no code implementations6 Oct 2020 Xiao Liu, Yuanwei Liu, Yue Chen

The energy consumption minimizing problem is formulated by jointly designing the movement of the UAV, phase shifts of the RIS, power allocation policy from the UAV to MUs, as well as determining the dynamic decoding order.

BIG-bench Machine Learning Q-Learning

An Ultra Lightweight CNN for Low Resource Circuit Component Recognition

no code implementations1 Oct 2020 Yingnan Ju, Yue Chen

In this paper, we present an ultra lightweight system that can effectively recognize different circuit components in an image with very limited training data.

Resource Allocation for Multi-Cell IRS-Aided NOMA Networks

no code implementations21 Jun 2020 Wanli Ni, Xiao Liu, Yuanwei Liu, Hui Tian, Yue Chen

This paper proposes a novel framework of resource allocation in multi-cell intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks, where an IRS is deployed to enhance the wireless service.

Association

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

no code implementations10 Jun 2020 Yu Huang, Yue Chen

Since DARPA Grand Challenges (rural) in 2004/05 and Urban Challenges in 2007, autonomous driving has been the most active field of AI applications.

3D Object Detection Autonomous Driving +2

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs

no code implementations28 Jan 2020 Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo

Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments.

RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design

no code implementations28 Jan 2020 Xiao Liu, Yuanwei Liu, Yue Chen, H. Vincent Poor

A novel framework is proposed for the deployment and passive beamforming design of a reconfigurable intelligent surface (RIS) with the aid of non-orthogonal multiple access (NOMA) technology.

MIMO Assisted Networks Relying on Intelligent Reflective Surfaces

no code implementations2 Oct 2019 Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, Lajos Hanzo

The network's SE and EE are also derived.

Information Theory Signal Processing Information Theory

Investigating Multilingual Abusive Language Detection: A Cautionary Tale

no code implementations RANLP 2019 Kenneth Steimel, Daniel Dakota, Yue Chen, S K{\"u}bler, ra

Based on our findings, we can conclude that a multilingual optimization of classifiers is not possible even in settings where comparable data sets are used.

Abusive Language

Destruction and Construction Learning for Fine-Grained Image Recognition

2 code implementations CVPR 2019 Yue Chen, Yalong Bai, Wei Zhang, Tao Mei

In this paper, we propose a novel "Destruction and Construction Learning" (DCL) method to enhance the difficulty of fine-grained recognition and exercise the classification model to acquire expert knowledge.

Classification Fine-Grained Image Classification +2

Convolution Forgetting Curve Model for Repeated Learning

no code implementations19 Jan 2019 Yanlu Xie, Yue Chen, Man Li

The status of forgetting (i. e. the output in the working memory model) is regarded as output function or the convolution result of the memory ability and learning material.

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