no code implementations • WASSA (ACL) 2022 • Yue Chen, Yingnan Ju, Sandra Kübler
Our system, IUCL, participated in the WASSA 2022 Shared Task on Empathy Detection and Emotion Classification.
1 code implementation • 4 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.
no code implementations • 30 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.
no code implementations • 21 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.
1 code implementation • 21 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.
no code implementations • 14 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.
no code implementations • 25 Jul 2022 • Dongxiang Yan, Yue Chen
Shared energy storage can be a potential solution.
no code implementations • 5 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.
no code implementations • 14 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.
no code implementations • 10 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.
1 code implementation • 27 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.
no code implementations • 11 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.
no code implementations • 28 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.
no code implementations • 2 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).
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.
no code implementations • 13 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.
no code implementations • 22 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.
no code implementations • 27 Jan 2021 • Zhong Yang, Mingzhe Chen, Xiao Liu, Yuanwei Liu, Yue Chen, Shuguang Cui, H. Vincent Poor
To this end, the fundamentals of this framework are first introduced.
no code implementations • 5 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.
no code implementations • 4 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.
no code implementations • 21 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
no code implementations • 7 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.
no code implementations • 23 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.
1 code implementation • 18 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
no code implementations • 18 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.
no code implementations • 6 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.
no code implementations • 1 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.
no code implementations • 21 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.
no code implementations • 10 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.
no code implementations • 28 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.
no code implementations • 28 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.
1 code implementation • Geoscientific Model Development 2019 • Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, YuWen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, Guangwen Yang
In this work, we design a simple computing library to bridge the gap and decouple the work of ocean modeling from parallel computing.
no code implementations • 2 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
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.
no code implementations • NAACL 2019 • Yue Chen, John Chen
For the experiments we perform a comparison between using pseudo-data and real world data.
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.
no code implementations • 19 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.