97 code implementations • CVPR 2019 • Jiankang Deng, Jia Guo, Jing Yang, Niannan Xue, Irene Kotsia, Stefanos Zafeiriou
Recently, a popular line of research in face recognition is adopting margins in the well-established softmax loss function to maximize class separability.
Ranked #1 on Face Verification on Labeled Faces in the Wild (using extra training data)
2 code implementations • 28 Mar 2022 • Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu
In each iteration, positive class centers and a random subset of negative class centers are selected to compute the margin-based softmax loss.
Ranked #1 on Face Recognition on MFR
1 code implementation • CVPR 2022 • Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu
In each iteration, positive class centers and a random subset of negative class centers are selected to compute the margin-based softmax loss.
2 code implementations • 12 Apr 2023 • Xiang An, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
To further enhance the low-dimensional feature representation, we randomly select partial feature dimensions when calculating the similarities between embeddings and class-wise prototypes.
Ranked #1 on Image Retrieval on SOP (using extra training data)
2 code implementations • 30 Mar 2021 • Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos
Recent work on Deep Learning in the area of face analysis has focused on supervised learning for specific tasks of interest (e. g. face recognition, facial landmark localization etc.)
Ranked #1 on Arousal Estimation on AffectNet
2 code implementations • ECCV 2018 • Adrian Bulat, Jing Yang, Georgios Tzimiropoulos
This paper is on image and face super-resolution.
1 code implementation • 20 Dec 2023 • Yuming Gu, You Xie, Hongyi Xu, Guoxian Song, Yichun Shi, Di Chang, Jing Yang, Linjie Luo
The rendering view is then manipulated with a novel conditional control module that interprets the camera pose by watching a condition image of a crossed subject from the same view.
1 code implementation • ICCV 2023 • Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
However, the presence of intrinsic noise and unmatched image-text pairs in web data can potentially affect the performance of representation learning.
1 code implementation • 17 Aug 2023 • Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu
To achieve more precise model editing, we analyze hidden states of MHSA and FFN, finding that MHSA encodes certain general knowledge extraction patterns.
1 code implementation • ICLR 2020 • Brais Martinez, Jing Yang, Adrian Bulat, Georgios Tzimiropoulos
This paper shows how to train binary networks to within a few percent points ($\sim 3-5 \%$) of the full precision counterpart.
1 code implementation • 9 May 2023 • Hu Gao, Jing Yang, Ying Zhang, Ning Wang, Jingfan Yang, Depeng Dang
Image restoration is the task of aiming to obtain a high-quality image from a corrupt input image, such as deblurring and deraining.
Ranked #1 on Image Deblurring on HIDE
1 code implementation • 13 May 2022 • Jing Yang, Xiatian Zhu, Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
The key idea is that we leverage the teacher's classifier as a semantic critic for evaluating the representations of both teacher and student and distilling the semantic knowledge with high-order structured information over all feature dimensions.
1 code implementation • 6 Dec 2018 • Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
Crowd counting, i. e., estimation number of the pedestrian in crowd images, is emerging as an important research problem with the public security applications.
1 code implementation • 24 Jul 2018 • Jing Yang, Biao Zhang, Yue Qin, Xiangwen Zhang, Qian Lin, Jinsong Su
Although neural machine translation(NMT) yields promising translation performance, it unfortunately suffers from over- and under-translation is- sues [Tu et al., 2016], of which studies have become research hotspots in NMT.
1 code implementation • ICLR 2023 • Jing Yang, Hanyuan Xiao, Wenbin Teng, Yunxuan Cai, Yajie Zhao
Extensive experiments showcase the quality and efficiency of our PBR face skin shader, indicating the effectiveness of our proposed lighting and material representations.
1 code implementation • 25 Feb 2021 • Chengshuai Shi, Cong Shen, Jing Yang
A general framework of personalized federated multi-armed bandits (PF-MAB) is proposed, which is a new bandit paradigm analogous to the federated learning (FL) framework in supervised learning and enjoys the features of FL with personalization.
1 code implementation • 30 Dec 2021 • Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma
However, the improvement is still limited by two issues: 1) It is difficult to perfectly map all faces to a shared feature space.
1 code implementation • 8 Nov 2022 • Yang Wu, Jing Yang, Xiaojun Zhou, Liming Wang, Zhen Xu
Automatic detecting rumors on social media has become a challenging task.
1 code implementation • 16 Feb 2020 • Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He
Automatic analysis of highly crowded people has attracted extensive attention from computer vision research.
1 code implementation • Expert Systems with Applications 2023 • Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang
In this study, we propose an acne diagnosis method, Diagnostic Evidence Distillation (DED), that suitably adapts the characteristics of acne diagnosis and can be applied to diagnose under different acne criteria.
Ranked #1 on Acne Severity Grading on ACNE04 (Accuracy metric)
1 code implementation • IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023 • Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng
Acne Vulgaris seriously affects people’s daily life.
Ranked #2 on Acne Severity Grading on ACNE04 (Accuracy metric)
1 code implementation • 16 Nov 2022 • José Nascimento, João Phillipe Cardenuto, Jing Yang, Anderson Rocha
To the best of our knowledge, this dataset is the first of its kind in event filtering that focuses on protests in multi-modal social media data, with most of the text in Portuguese.
1 code implementation • 15 Feb 2024 • Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
Based on this connection, a general framework TRIPLE (besT aRm Identification for Prompt LEarning) is proposed to harness the power of BAI-FB in prompt learning systematically.
no code implementations • 7 Apr 2017 • Benjamin Doerr, Christian Gießen, Carsten Witt, Jing Yang
We propose a new way to self-adjust the mutation rate in population-based evolutionary algorithms in discrete search spaces.
no code implementations • 11 Apr 2018 • Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Our objective is to understand how the costs and reward of the actions would affect the optimal behavior of the user in both offline and online settings, and design the corresponding opportunistic spectrum access strategies to maximize the expected cumulative net reward (i. e., reward-minus-cost).
no code implementations • 21 Apr 2015 • Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu
Recently, the compressive tracking (CT) method has attracted much attention due to its high efficiency, but it cannot well deal with the large scale target appearance variations due to its data-independent random projection matrix that results in less discriminative features.
no code implementations • 9 Jul 2018 • Benjamin Doerr, Carola Doerr, Jing Yang
It has been observed that some working principles of evolutionary algorithms, in particular, the influence of the parameters, cannot be understood from results on the asymptotic order of the runtime, but only from more precise results.
no code implementations • 30 Nov 2018 • Benjamin Doerr, Carsten Witt, Jing Yang
We propose and analyze a self-adaptive version of the $(1,\lambda)$ evolutionary algorithm in which the current mutation rate is part of the individual and thus also subject to mutation.
no code implementations • 23 Jan 2019 • Chao Gan, Jing Yang, Ruida Zhou, Cong Shen
We aim to show that when the user preferences are sufficiently diverse and each arm can be optimal for certain users, the O(log T) regret incurred by exploring the sub-optimal arms under the standard stochastic MAB setting can be reduced to a constant.
no code implementations • E2E NLG Challenge System Descriptions 2018 • Biao Zhang, Jing Yang, Qian Lin, Jinsong Su
This paper describes our system used for the end-to-end (E2E) natural language generation (NLG) challenge.
Ranked #8 on Data-to-Text Generation on E2E NLG Challenge
no code implementations • 4 Jul 2019 • Zhichao Fu, Tianlong Ma, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
In this paper, we resort to human visual demands of sharp edges and propose a two-phase edge-aware deep network to improve deep image deblurring.
no code implementations • 4 Jul 2019 • Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
Crowd counting aims to count the number of instantaneous people in a crowded space, and many promising solutions have been proposed for single image crowd counting.
no code implementations • 16 Sep 2019 • Jingkai Weng, Yujiang Ding, Chengbo Hu, Xue-Feng Zhu, Bin Liang, Jing Yang, Jianchun Cheng
Deep-learning recently show great success across disciplines yet conventionally require time-consuming computer processing or bulky-sized diffractive elements.
no code implementations • 25 Nov 2019 • Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
The accuracy of OCR is usually affected by the quality of the input document image and different kinds of marred document images hamper the OCR results.
no code implementations • 20 Feb 2020 • Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Guoping Gao, Fang Zheng, Rui Li, Zhihua Guo, Rong Ma, Jing Yang, Lan Zhang, Xiping Hu, Yumin Li, Bin Hu
The EEG dataset includes not only data collected using traditional 128-electrodes mounted elastic cap, but also a novel wearable 3-electrode EEG collector for pervasive applications.
no code implementations • 29 Feb 2020 • Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) problem, where the collision information is not available to the players, is studied in this paper.
no code implementations • 5 Mar 2020 • Weiqiang Wu, Jing Yang, Cong Shen
In this paper, we investigate the impact of context diversity on stochastic linear contextual bandits.
no code implementations • 9 Mar 2020 • Jing Yang, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos
To this end, we propose a new knowledge distillation method based on transferring feature statistics, specifically the channel-wise mean and variance, from the teacher to the student.
no code implementations • 8 Jul 2020 • Kun Li, Jing Yang, Nianhong Jiao, Jinsong Zhang, Yu-Kun Lai
3D face reconstruction from a single image is a challenging problem, especially under partial occlusions and extreme poses.
no code implementations • ICLR 2021 • Jing Yang, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos
We advocate for a method that optimizes the output feature of the penultimate layer of the student network and hence is directly related to representation learning.
no code implementations • 16 Nov 2020 • Jing Yang, James P. Wilson, Shalabh Gupta
With the growth of sensing, control and robotic technologies, autonomous underwater vehicles (AUVs) have become useful assistants to human divers for performing various underwater operations.
no code implementations • 24 Nov 2020 • Jing Yang, Chun Ouyang, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Yang Yu
We demonstrate the feasibility of this framework by proposing an approach underpinned by the framework for organizational model discovery, and also conduct experiments on real-life event logs to discover and evaluate organizational models.
no code implementations • 2 Feb 2021 • S. A. Wadood, Yiyu Zhou, Jing Yang, Kevin Liang, M. A. Alonso, X. -F. Qian, T. Malhotra, S. M. Hashemi Rafsanjani, Andrew N. Jordan, Robert W. Boyd, A. N. Vamivakas
Analyses based on quantum metrology have shown that the ability to localize the positions of two incoherent point sources can be significantly enhanced through the use of mode sorting.
Optics Quantum Physics
no code implementations • 2 Feb 2021 • Jing Yang, Ligong Bian
We study the magnetic fields generation from the cosmological first-order electroweak phase transition.
Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology High Energy Physics - Theory
no code implementations • 7 Apr 2021 • Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He
The document layout analysis (DLA) aims to split the document image into different interest regions and understand the role of each region, which has wide application such as optical character recognition (OCR) systems and document retrieval.
no code implementations • 26 Feb 2021 • Liang Chen, Peng Jin, Jing Yang, Yang Li, Yi Song
To obtain the accurate transient states of the big scale natural gas pipeline networks under the bad data and non-zero mean noises conditions, a robust Kalman filter-based dynamic state estimation method is proposed using the linearized gas pipeline transient flow equations in this paper.
no code implementations • 10 May 2021 • Jing Yang, Augusto Aubry, Antonio De Maio, Xianxiang Yu, Guolong Cui
This paper focuses on the joint synthesis of constant envelope transmit signal and receive filter aimed at optimizing radar performance in signal-dependent interference and spectrally contested-congested environments.
no code implementations • 23 Jun 2021 • Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, Badong Chen, Shaoyi Du
More specifically, we scan the whole input images and its priority maps in the form of column vector to obtain a relevance matrix estimating their similarity.
no code implementations • CVPR 2021 • Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou
Deep face recognition has achieved remarkable improvements due to the introduction of margin-based softmax loss, in which the prototype stored in the last linear layer represents the center of each class.
no code implementations • 12 Jul 2021 • Xinyu Gao, Tianlang Wang, Jing Yang, Jinchao Tao, Yanqing Qiu, Yanlong Meng, Banging Mao, Pengwei Zhou, Yi Li
Hyperspectral image (HSI) contains both spatial pattern and spectral information which has been widely used in food safety, remote sensing, and medical detection.
1 code implementation • 22 Sep 2021 • Jing Yang, Didier Vega-Oliveros, Tais Seibt, Anderson Rocha
Researchers have been investigating automated solutions for fact-checking in a variety of fronts.
no code implementations • 11 Oct 2021 • Jing Yang, Didier Vega-Oliveros, Taís Seibt, Anderson Rocha
Misleading or false information has been creating chaos in some places around the world.
1 code implementation • NeurIPS 2021 • Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
In this paper, we propose BEACON -- Batched Exploration with Adaptive COmmunicatioN -- that closes this gap.
no code implementations • NeurIPS 2021 • Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
This paper presents a novel federated linear contextual bandits model, where individual clients face different $K$-armed stochastic bandits coupled through common global parameters.
no code implementations • 27 Dec 2021 • Mengjian Zhang, Guihua Wen, Jing Yang
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this paper.
no code implementations • 25 Jan 2022 • Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He
This paper proposes a Multi-channel Attentive Graph Convolutional Network (MAGCN), consisting of two main components: cross-modality interactive learning and sentimental feature fusion.
no code implementations • 12 Feb 2022 • Cong Shen, Jing Yang, Jie Xu
Catering to the proliferation of Internet of Things devices and distributed machine learning at the edge, we propose an energy harvesting federated learning (EHFL) framework in this paper.
no code implementations • 10 May 2022 • Jing Yang, Junwen Chen, Keiji Yanai
In this paper, we present a cross-modal recipe retrieval framework, Transformer-based Network for Large Batch Training (TNLBT), which is inspired by ACME~(Adversarial Cross-Modal Embedding) and H-T~(Hierarchical Transformer).
no code implementations • IWSLT (ACL) 2022 • Weitai Zhang, Zhongyi Ye, Haitao Tang, Xiaoxi Li, Xinyuan Zhou, Jing Yang, Jianwei Cui, Dan Liu, Junhua Liu, LiRong Dai
This paper describes USTC-NELSLIP’s submissions to the IWSLT 2022 Offline Speech Translation task, including speech translation of talks from English to German, English to Chinese and English to Japanese.
no code implementations • 13 Jun 2022 • Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang
To the best of our knowledge, this is the first theoretical study that characterizes the benefit of representation learning in exploration-based reward-free multitask RL for both upstream and downstream tasks.
no code implementations • 21 Jun 2022 • Yuehai Chen, Jing Yang, Badong Chen, Shaoyi Du
Thus, CNN could locate and estimate crowds accurately in low-density regions, while it is hard to properly perceive the densities in high-density regions.
no code implementations • 24 Jun 2022 • Junyu Lu, Ping Yang, Ruyi Gan, Jing Yang, Jiaxing Zhang
Even as pre-trained language models share a semantic encoder, natural language understanding suffers from a diversity of output schemas.
no code implementations • 28 Jun 2022 • Ruiquan Huang, Jing Yang, Yingbin Liang
In particular, we consider the scenario where a safe baseline policy is known beforehand, and propose a unified Safe reWard-frEe ExploraTion (SWEET) framework.
no code implementations • COLING 2022 • Pengwei Zhan, Chao Zheng, Jing Yang, Yuxiang Wang, Liming Wang, Yang Wu, Yunjian Zhang
Previous works on word-level attacks widely use word importance ranking (WIR) methods and complex search methods, including greedy search and heuristic algorithms, to find optimal substitutions.
no code implementations • 18 Oct 2022 • Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
We propose a novel communication design, termed random orthogonalization, for federated learning (FL) in a massive multiple-input and multiple-output (MIMO) wireless system.
no code implementations • 23 Oct 2022 • Bin Ji, Shasha Li, Hao Xu, Jie Yu, Jun Ma, Huijun Liu, Jing Yang
On the one hand, the core architecture enables our model to learn token-level label information via the sequence tagging mechanism and then uses the information in the span-based joint extraction; on the other hand, it establishes a bi-directional information interaction between NER and RE.
Joint Entity and Relation Extraction named-entity-recognition +3
no code implementations • 11 Nov 2022 • Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov, Maja Pantic
Our model consists of a hybrid network of convolution and transformer blocks to learn per-AU features and to model AU co-occurrences.
no code implementations • 11 Jan 2023 • Yao Xiao, Ji Xu, Jing Yang, Shaobo Li
Graph Convolutional Networks (GCNs) have been proved successful in the field of semi-supervised node classification by extracting structural information from graph data.
no code implementations • 11 Feb 2023 • Jing Yang, Jianwu Fang, Hongke Xu
With the large-scale and dynamic road environment, the paradigm of supervised vehicle re-identification shows limited scalability because of the heavy reliance on large-scale annotated datasets.
Self-Supervised Learning Unsupervised Vehicle Re-Identification +1
no code implementations • 9 Mar 2023 • Jing Yang, Bin Ji, Shasha Li, Jun Ma, Long Peng, Jie Yu
Recently, many studies incorporate external knowledge into character-level feature based models to improve the performance of Chinese relation extraction.
no code implementations • 20 Mar 2023 • Yuan Cheng, Ruiquan Huang, Jing Yang, Yingbin Liang
In this work, we first provide the first known sample complexity lower bound that holds for any algorithm under low-rank MDPs.
no code implementations • 3 May 2023 • Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Rigorous analyses demonstrate that when facing clients with UCB1, TWL outperforms TAL in terms of the dependencies on sub-optimality gaps thanks to its adaptive design.
no code implementations • 1 Jun 2023 • Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang
To the best of our knowledge, this is the first dynamic regret analysis in non-stationary MDPs with general function approximation.
no code implementations • 8 Jun 2023 • Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hajzinia, Jing Yang
This paper studies federated linear contextual bandits under the notion of user-level differential privacy (DP).
no code implementations • 9 Jun 2023 • Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang
This paper investigates conservative exploration in reinforcement learning where the performance of the learning agent is guaranteed to be above a certain threshold throughout the learning process.
no code implementations • 14 Jun 2023 • Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Then, a novel HetPEVI algorithm is proposed, which simultaneously considers the sample uncertainties from a finite number of data samples per data source and the source uncertainties due to a finite number of available data sources.
no code implementations • 14 Jun 2023 • Xizixiang Wei, Tianhao Wang, Ruiquan Huang, Cong Shen, Jing Yang, H. Vincent Poor
A new FL convergence bound is derived which, combined with the privacy guarantees, allows for a smooth tradeoff between the achieved convergence rate and differential privacy levels.
no code implementations • 9 Jun 2023 • João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel, Anderson Rocha
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of the intent to deceive.
no code implementations • 1 Jul 2023 • Ruiquan Huang, Yingbin Liang, Jing Yang
The general sequential decision-making problem, which includes Markov decision processes (MDPs) and partially observable MDPs (POMDPs) as special cases, aims at maximizing a cumulative reward by making a sequence of decisions based on a history of observations and actions over time.
no code implementations • 29 Jul 2023 • Yuehai Chen, Jing Yang, Badong Chen, Hua Gang, Shaoyi Du
To improve the robustness to annotation displacement, we design an effective transport cost function based on GGD.
no code implementations • 1 Aug 2023 • Tinghao Feng, Yueqi Hu, Jing Yang, Tom Polk, Ye Zhao, Shixia Liu, Zhaocong Yang
When exploring time series datasets, analysts often pose "which and when" questions.
no code implementations • 17 Aug 2023 • Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang
In this work, we propose a model-free stage-based Q-learning algorithm and show that it achieves the same sample complexity as the best model-based algorithm, and hence for the first time demonstrate that model-free algorithms can enjoy the same optimality in the $H$ dependence as model-based algorithms.
no code implementations • 12 Sep 2023 • Jing Yang, Nur Intan Raihana Ruhaiyem, ChiChun Zhou
Here, a 3M-Hybrid model is proposed to address these challenges.
no code implementations • 20 Oct 2023 • Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
To this end, we posit a joint model class for tasks and use the notion of $\eta$-bracketing number to quantify its complexity; this number also serves as a general metric to capture the similarity of tasks and thus determines the benefit of multi-task over single-task RL.
no code implementations • 20 Nov 2023 • Jing Yang, Wei Su
The objective of the presented pa-per is to develop a MADM method and medical diagnosis method under IFS using the projection technology and cosine similarity measure.
no code implementations • 19 Nov 2023 • Kun Yang, Cong Shen, Jing Yang, Shu-ping Yeh, Jerry Sydir
We observe that the performance of offline RL for the RRM problem depends critically on the behavior policy used for data collection, and further propose a novel offline RL solution that leverages heterogeneous datasets collected by different behavior policies.
no code implementations • 16 Dec 2023 • Kun Yang, Shu-ping Yeh, Menglei Zhang, Jerry Sydir, Jing Yang, Cong Shen
Dynamic radio resource management (RRM) in wireless networks presents significant challenges, particularly in the context of Radio Access Network (RAN) slicing.
no code implementations • 22 Dec 2023 • Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang
In this paper, we consider federated reinforcement learning for tabular episodic Markov Decision Processes (MDP) where, under the coordination of a central server, multiple agents collaboratively explore the environment and learn an optimal policy without sharing their raw data.
no code implementations • 3 Jan 2024 • Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang
Deep learning has shown great potential in accelerating diffusion tensor imaging (DTI).
no code implementations • 3 Jan 2024 • Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Shanshan Wang
Diffusion Magnetic Resonance Imaging (dMRI) plays a crucial role in the noninvasive investigation of tissue microstructural properties and structural connectivity in the \textit{in vivo} human brain.
no code implementations • 15 Jan 2024 • Zhiwei Lin, Jun Chen, Boshi Tang, Binzhu Sha, Jing Yang, Yaolong Ju, Fan Fan, Shiyin Kang, Zhiyong Wu, Helen Meng
Variational Autoencoders (VAEs) constitute a crucial component of neural symbolic music generation, among which some works have yielded outstanding results and attracted considerable attention.
no code implementations • 30 Jan 2024 • Linyao Yang, Hongyang Chen, Xiao Wang, Jing Yang, Fei-Yue Wang, Han Liu
The final prediction of the equivalent entity is derived from the LLM's output.
no code implementations • 3 Mar 2024 • Xianju Li, Renxiang Guan, Zihao Li, Hao liu, Jing Yang
In conclusion, the proposed model can effectively improve the clustering ac-curacy of HSI.
no code implementations • 24 Mar 2024 • Chunyu Xue, Weihao Cui, Han Zhao, Quan Chen, Shulai Zhang, Pengyu Yang, Jing Yang, Shaobo Li, Minyi Guo
The exponentially enlarged scheduling space and ever-changing optimal parallelism plan from adaptive parallelism together result in the contradiction between low-overhead and accurate performance data acquisition for efficient cluster scheduling.