no code implementations • EMNLP 2021 • Bo Yang, Lijun Wu
Therefore, in this paper, we first extract the accompanying clinical notes from EHR and propose a method to integrate these data, we also comprehensively study the different models and the data leverage methods for better medical task prediction performance.
1 code implementation • 25 Mar 2024 • Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu
Single-step retrosynthesis prediction, a crucial step in the planning process, has witnessed a surge in interest in recent years due to advancements in AI for science.
no code implementations • 27 Feb 2024 • Bo Yang, Hengwei Zhang, Jindong Wang, Yulong Yang, Chenhao Lin, Chao Shen, Zhengyu Zhao
Transferable adversarial examples cause practical security risks since they can mislead a target model without knowing its internal knowledge.
no code implementations • 24 Feb 2024 • Alaa Selim, Yanzhu Ye, Junbo Zhao, Bo Yang
To address this challenge, our research presents a novel framework that harnesses the potential of Deep Reinforcement Learning (DRL), specifically utilizing the Importance Weighted Actor-Learner Architecture (IMPALA) algorithm, executed on the RAY platform.
no code implementations • 21 Feb 2024 • Siyu Wang, Bo Yang, Zhiwen Yu, Xuelin Cao, Yan Zhang, Chau Yuen
In this paper, we investigate a multi-user offloading problem in the overlapping domain of a multi-server mobile edge computing system.
1 code implementation • 7 Feb 2024 • Yinghao Song, Zhiyuan Cao, Wanhong Xiang, Sifan Long, Bo Yang, Hongwei Ge, Yanchun Liang, Chunguo Wu
Second, the predicting model (PM) enhances the brightness of pseudo low-light images.
1 code implementation • 3 Feb 2024 • Bo Yang, Chen Wang, Xiaoshuang Ma, Beiping Song, Zhuang Liu
To address this gap, our study introduces a novel zero-shot, sketch-based retrieval method for remote sensing images, leveraging multi-level feature extraction, self-attention-guided tokenization and filtering, and cross-modality attention update.
1 code implementation • 1 Feb 2024 • Feng Wang, Bo Yang, Renfang Wang, Hong Qiu
To avoid generating and/or collecting labeled samples, we propose a novel method by integrating deep learning and dictionary learning to enhance the VMs with low resolution by using the traditional tomography-least square method (LSQR).
no code implementations • 22 Jan 2024 • Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
However, most of the existing works only consider bond distances and overlook bond angles.
1 code implementation • 15 Jan 2024 • Zichen Wang, Bo Yang, Haonan Yue, Zhenghao Ma
However, the class-level prototypes are difficult to precisely generate, and they also lack detailed information, leading to instability in performance. New methods are required to capture the distinctive local context for more robust novel object detection.
no code implementations • 20 Dec 2023 • Bo Yang, Hong Peng, Xiaohui Luo, Jun Wang
Downsampling in deep networks may lead to loss of information, so for compensating the detail and edge information and allowing convolutional neural networks to pay more attention to seek the lesion region, we propose a multi-stages attention architecture based on NSNP neurons with autapses.
no code implementations • 20 Dec 2023 • Bo Yang, Hong Peng, Chenggang Guo, Xiaohui Luo, Jun Wang, Xianzhong Long
Prompt treatment for melanoma is crucial.
no code implementations • 20 Dec 2023 • Dafeng Zhu, Bo Yang, Yu Wu, Haoran Deng, ZhaoYang Dong, Kai Ma, Xinping Guan
This paper presents a carbon-energy coupling management framework for an industrial park, where the carbon flow model accompanying multi-energy flows is adopted to track and suppress carbon emissions on the user side.
1 code implementation • NeurIPS 2023 • Jinxi Li, Ziyang Song, Bo Yang
In this paper, we aim to model 3D scene dynamics from multi-view videos.
1 code implementation • 8 Dec 2023 • Yafei Yang, Bo Yang
We first introduce seven complexity factors to quantitatively measure the distributions of background and foreground object biases in appearance and geometry for datasets with human annotations.
no code implementations • 6 Dec 2023 • Haoyue Wang, Li Pan, Bo Yang, Junqiang Jiang, Wenbin Li
In order to improve the accuracy of the identification of essential proteins, researchers attempted to obtain a refined PIN by combining multiple biological information to filter out some unreliable interactions in the PIN.
no code implementations • 3 Dec 2023 • Bo Yang, Xiaoyu Ji, Zizhi Jin, Yushi Cheng, Wenyuan Xu
Our study assesses the adversarial robustness of LiDAR-camera fusion models in 3D object detection.
no code implementations • 3 Dec 2023 • Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang
To solve this many-to-one issue, we consider the global information by further considering dihedral angles, which can guarantee that the proposed representation corresponds one-to-one with the crystal material.
1 code implementation • NeurIPS 2023 • Zhuoman Liu, Bo Yang, Yan Luximon, Ajay Kumar, Jinxi Li
In this paper, we study the problem of continuous 3D shape representations.
1 code implementation • 25 Oct 2023 • Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang
Learning network dynamics from the empirical structure and spatio-temporal observation data is crucial to revealing the interaction mechanisms of complex networks in a wide range of domains.
no code implementations • NeurIPS 2023 • Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Our experimental results demonstrate that SGFD can generalize well on a wide range of test environments and significantly outperforms state-of-the-art methods in handling both task-irrelevant variations and task-relevant variations.
1 code implementation • 29 Sep 2023 • Jiaxian Guo, Bo Yang, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo
Unlike perfect information games, where all elements are known to every player, imperfect information games emulate the real-world complexities of decision-making under uncertain or incomplete information.
no code implementations • 25 Sep 2023 • Charleston Dale M. Ambatali, Shinichi Nakasuka, Bo Yang, Naoki Shinohara
The retrodirective antenna array is considered as a mechanism to enable target tracking of a power receiver for long range wireless power transfer (WPT) due to its simplicity in implementation using only analog circuits.
no code implementations • 16 Sep 2023 • Dongran Yu, Xueyan Liu, Shirui Pan, Anchen Li, Bo Yang
A key objective in field of artificial intelligence is to develop cognitive models that can exhibit human-like intellectual capabilities.
1 code implementation • 2 Sep 2023 • Ruihuai Liang, Bo Yang, Zhiwen Yu, Xuelin Cao, Derrick Wing Kwan Ng, Chau Yuen
To improve the MEC performance, it is required to design an optimal offloading strategy that includes offloading decision (i. e., whether offloading or not) and computational resource allocation of MEC.
no code implementations • 14 Aug 2023 • Haoran Deng, Bo Yang, Mo-Yuen Chow, Gang Yao, Cailian Chen, Xinping Guan
However, there is a strong causality between HFCVs and hydrogen refueling stations (HRSs): the planning decisions of HRSs could affect the hydrogen refueling demand of HFCVs, and the growth of demand would in turn stimulate the further investment in HRSs, which is also known as the ``chicken and egg'' conundrum.
1 code implementation • 13 Aug 2023 • Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin, Bo Yang, Botao He, Bin Feng, Wenyu Liu
Graph convolutional networks have been widely applied in skeleton-based gait recognition.
1 code implementation • 27 Jul 2023 • Bo Yang, Xinyu Zhang, Jian Zhang, Jun Luo, Mingliang Zhou, Yangjun Pi
To address this problem, we propose a new adaptive threshold focal loss (ATFL) function that decouples the target and the background, and utilizes the adaptive mechanism to adjust the loss weight to force the model to allocate more attention to target features.
no code implementations • 23 Jul 2023 • Bo Yang, Zhihao Zhang Kirisame Marisa, Kai Shi
These dynamically typed deep learning frameworks treat neural networks as differentiable expressions that contain many trainable variable, and perform automatic differentiation on those expressions when training them.
no code implementations • 4 Jun 2023 • Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang
In face detection, low-resolution faces, such as numerous small faces of a human group in a crowded scene, are common in dense face prediction tasks.
1 code implementation • CVPR 2023 • Zihui Zhang, Bo Yang, Bing Wang, Bo Li
Our method consists of three major components, 1) the feature extractor to learn per-point features from input point clouds, 2) the superpoint constructor to progressively grow the sizes of superpoints, and 3) the semantic primitive clustering module to group superpoints into semantic elements for the final semantic segmentation.
no code implementations • 22 May 2023 • Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
However, this separation of the recommendation model and users' private data poses a challenge in providing quality service, particularly when it comes to new items, namely cold-start recommendations in federated settings.
no code implementations • 20 May 2023 • Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang
As deep learning gains popularity in modelling dynamical systems, we expose an underappreciated misunderstanding relevant to modelling dynamics on networks.
no code implementations • 13 May 2023 • Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijjian Zhang, Bo Yang
Federated Recommendation is a new service architecture providing recommendations without sharing user data with the server.
no code implementations • CVPR 2023 • Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao
Multi-view shape reconstruction has achieved impressive progresses thanks to the latest advances in neural implicit surface rendering.
no code implementations • 9 Apr 2023 • Da Xu, Bo Yang
The use of pretrained embeddings has become widespread in modern e-commerce machine learning (ML) systems.
no code implementations • 21 Mar 2023 • Bo Yang, Ishan Khatri, Michael Happold, Chulong Chen
As autonomous vehicles and advanced driving assistance systems have entered wider deployment, there is an increased interest in building robust perception systems using radars.
1 code implementation • CVPR 2023 • Xiaoxu Meng, Weikai Chen, Bo Yang
In particular, NeAT represents the 3D surface as a level set of a signed distance function (SDF) with a validity branch for estimating the surface existence probability at the query positions.
no code implementations • 7 Mar 2023 • Kai Lu, Bo Yang, Bing Wang, Andrew Markham
Our experiments on manipulating complex articulated objects show that the proposed approach is more generalizable to unseen objects with large intra-class variations, outperforming previous approaches.
1 code implementation • 16 Jan 2023 • Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Moreover, we provide visualizations and in-depth analysis of the personalization techniques in item embedding, which shed novel insights on the design of recommender systems in federated settings.
no code implementations • 29 Dec 2022 • Yuxiang Liu, Bo Yang, Yu Wu, Cailian Chen, Xinping Guan
However, due to the limited resources of edge servers, it is difficult to meet the optimization goals of the two methods at the same time.
1 code implementation • 18 Dec 2022 • Chaochao Zhou, Bo Yang
However, an annotation scheme and a training dataset have not been available for training machine learning models to mine structured data from text without special templates and patterns.
no code implementations • 4 Dec 2022 • Haoran Deng, Bo Yang, Chao Ning, Cailian Chen, Xinping Guan
In order to ensure the individual optimality of the two networks in a unified framework in day-ahead power scheduling, a two-stage distributionally robust centralized optimization model is established to carry out the equilibrium of power-transportation coupled network.
1 code implementation • 10 Oct 2022 • Ziyang Song, Bo Yang
In this paper, we study the problem of 3D object segmentation from raw point clouds.
1 code implementation • 5 Oct 2022 • Yafei Yang, Bo Yang
We firstly introduce four complexity factors to quantitatively measure the distributions of object- and scene-level biases in appearance and geometry for datasets with human annotations.
1 code implementation • 15 Aug 2022 • Bing Wang, Lu Chen, Bo Yang
In this paper, we study the problem of 3D scene geometry decomposition and manipulation from 2D views.
1 code implementation • SSRN 2022 • Yiyang Li, Bo Yang, Wanruo Zhang, Wenfeng Zheng, Chao Liu
This work aims to predict the 3D coordinates of the point of interest (POI) on the surface of beating heart in dynamic minimally invasive surgery, which can improve the manoeuvrability of cardiac surgical robots and expand their functions.
no code implementations • 9 Aug 2022 • Bo Yang, Xuelin Cao, Jindan Xu, Chongwen Huang, George C. Alexandropoulos, Linglong Dai, M'erouane Debbah, H. Vincent Poor, Chau Yuen
The envisioned sixth-generation (6G) of wireless networks will involve an intelligent integration of communications and computing, thereby meeting the urgent demands of diverse applications.
no code implementations • NeurIPS 2021 • Fan Yang, Kai He, Linxiao Yang, Hongxia Du, Jingbang Yang, Bo Yang, Liang Sun
The learning problem is framed as a subset selection task in which a subset of all possible rules needs to be selected to form an accurate and interpretable rule set.
no code implementations • 7 Jun 2022 • Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Sang Uk Lee, Momchil S. Tomov, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suarez-Ruiz, Robert Beaudoin, Bo Yang, Sammy Omari, Eric M. Wolff
In this paper, we introduce the first learning-based planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL).
no code implementations • CVPR 2022 • Weikai Chen, Cheng Lin, Weiyang Li, Bo Yang
The key to our method is the introduction of a new sign, the NULL sign, in addition to the conventional in and out labels.
1 code implementation • 23 May 2022 • Bo Yang, Fangxiang Feng, Xiaojie Wang
We also introduce a new metric Cross-Model Distance (CMD) for simultaneously evaluating image quality and image-text consistency.
2 code implementations • 19 Apr 2022 • Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby Breckon, Ling Shao, Niki Trigoni, Andrew Markham
We present RangeUDF, a new implicit representation based framework to recover the geometry and semantics of continuous 3D scene surfaces from point clouds.
no code implementations • 8 Apr 2022 • Dafeng Zhu, Bo Yang, Chengbin Ma, Zhaojian Wang, Shanying Zhu, Kai Ma, Xinping Guan
Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply.
1 code implementation • ICCV 2021 • Duowang Zhu, Xiaohu Huang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng
Although gait recognition has drawn increasing research attention recently, since the silhouette differences are quite subtle in spatial domain, temporal feature representation is crucial for gait recognition.
Ranked #1 on Gait Recognition on OUMVLP
no code implementations • 4 Apr 2022 • Xin Zhao, Xu Wu, Lin Wang, Pengkun Hou, Qinfei Li, Yuxuan Zhang, Bo Yang
In experiments, the method is verified on actual 3D Micro-CT images and 2D BSE images.
1 code implementation • 28 Mar 2022 • Tianning Zhang, Tianqi Chen, Erping Li, Bo Yang, L. K. Ang
The tensor network, as a facterization of tensors, aims at performing the operations that are common for normal tensors, such as addition, contraction and stacking.
no code implementations • 15 Mar 2022 • Da Xu, Bo Yang
In recent years, the interest in developing adaptive solutions for online testing has grown significantly in the industry.
no code implementations • 28 Feb 2022 • Qi Liu, Bo Yang, Zhaojian Wang, Dafeng Zhu, Xinyi Wang, Kai Ma, Xinping Guan
Therefore, federated learning can be exploited to train a collaborative fault diagnosis model.
no code implementations • 27 Feb 2022 • Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang
Off-policy learning plays a pivotal role in optimizing and evaluating policies prior to the online deployment.
no code implementations • 8 Feb 2022 • Dafeng Zhu, Bo Yang, Yuxiang Liu, Zhaojian Wang, Kai Ma, Xinping Guan
Owing to large industrial energy consumption, industrial production has brought a huge burden to the grid in terms of renewable energy access and power supply.
no code implementations • 27 Jan 2022 • Ayoub Ghriss, Bo Yang, Viktor Rozgic, Elizabeth Shriberg, Chao Wang
We pre-train SER model simultaneously on Automatic Speech Recognition (ASR) and sentiment classification tasks to make the acoustic ASR model more ``emotion aware''.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 12 Jan 2022 • Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
Each point in the dataset has been labelled with fine-grained semantic annotations, resulting in a dataset that is three times the size of the previous existing largest photogrammetric point cloud dataset.
no code implementations • CVPR 2022 • Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan
In particular, BPGR can also provide easy-to-understand insights for reasoning results to show interpretability.
no code implementations • 16 Dec 2021 • Anchen Li, Bo Yang, Huan Huo, Farookh Hussain
In this paper, we propose a recommendation framework named Cayley-Dickson Recommender.
no code implementations • 20 Nov 2021 • Zhehao Zhao, Bo Yang, Ge Li, Huai Liu, Zhi Jin
Based on that, we also designed a neural network that depends on the graph attention mechanism. Specifically, we introduced the syntactic structural of the basic block, i. e., its corresponding AST, in source code model to provide sufficient information and fill the gap.
no code implementations • 10 Nov 2021 • Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan
In recent years, neural systems have demonstrated highly effective learning ability and superior perception intelligence.
no code implementations • 4 Nov 2021 • Peng Fan, Dongyue Guo, Yi Lin, Bo Yang, Jianwei Zhang
In this work, we propose a new automatic speech recognition (ASR) system based on feature learning and an end-to-end training procedure for air traffic control (ATC) systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 3 Nov 2021 • Dongyue Guo, Jianwei Zhang, Bo Yang, Yi Lin
Most importantly, a multi-modal speaker role identification network (MMSRINet) is designed to achieve the SRI task by considering both the speech and textual modality features.
no code implementations • NeurIPS 2021 • Jia-Heng Tang, Weikai Chen, Jie Yang, Bo wang, Songrun Liu, Bo Yang, Lin Gao
We achieve this goal by introducing a hierarchical octree structure to adaptively subdivide the 3D space according to the surface occupancy and the richness of part geometry.
1 code implementation • 29 Oct 2021 • Bo Yang, Lijun Wu
Therefore, in this paper, we first extract the accompanying clinical notes from EHR and propose a method to integrate these data, we also comprehensively study the different models and the data leverage methods for better medical task prediction.
no code implementations • 27 Oct 2021 • Dafeng Zhu, Bo Yang, Zhaojian Wang, Chengbin Ma, Kai Ma, Shanying Zhu
To solve the issue, the energy management problem is constructed as a stochastic optimization problem.
no code implementations • 18 Sep 2021 • Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
Many real-world time series exhibit multiple seasonality with different lengths.
no code implementations • 3 Sep 2021 • Bo Yang, Xuelin Cao, Chongwen Huang, Yong Liang Guan, Chau Yuen, Marco Di Renzo, Dusit Niyato, Merouane Debbah, Lajos Hanzo
In the sixth-generation (6G) era, emerging large-scale computing based applications (for example processing enormous amounts of images in real-time in autonomous driving) tend to lead to excessive energy consumption for the end users, whose devices are usually energy-constrained.
1 code implementation • 6 Jul 2021 • Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
We study the problem of efficient semantic segmentation of large-scale 3D point clouds.
no code implementations • 11 Jun 2021 • Fengkun Gao, Bo Yang, Cailian Chen, Xinping Guan, Yang Zhang
Most exiting works develop traffic optimization strategies depending on the local traffic states of congested road segments, where the congestion propagation is neglected.
no code implementations • 7 Jun 2021 • Zheng Wang, Satoshi Suga, Edric John Cruz Nacpil, Bo Yang, Kimihiko Nakano
Evaluation results indicated that, for both attentive and distracted drivers, haptic guidance with adaptive authority yielded lower driver workload and reduced lane departure risk than manual driving and fixed authority.
no code implementations • 19 Apr 2021 • Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang
In this paper, we propose a transfer learning (TL)-enabled edge-CNN framework for 5G industrial edge networks with privacy-preserving characteristic.
no code implementations • 15 Apr 2021 • Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang
In collaborative filtering (CF) algorithms, the optimal models are usually learned by globally minimizing the empirical risks averaged over all the observed data.
no code implementations • 15 Apr 2021 • Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu
In the second phase, we develop a deep framework based on hyperbolic geometry to integrate constructed neighbor sets into recommendation.
2 code implementations • 11 Apr 2021 • Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham
Labelling point clouds fully is highly time-consuming and costly.
1 code implementation • CVPR 2021 • Yu Cheng, Bo wang, Bo Yang, Robby T. Tan
Besides the integration of top-down and bottom-up networks, unlike existing pose discriminators that are designed solely for single person, and consequently cannot assess natural inter-person interactions, we propose a two-person pose discriminator that enforces natural two-person interactions.
3D Multi-Person Pose Estimation (absolute) 3D Multi-Person Pose Estimation (root-relative) +2
no code implementations • 22 Mar 2021 • Wei Wang, Pedro P. B. de Gusmo, Bo Yang, Andrew Markham, Niki Trigoni
There is considerable work in the field of deep camera relocalization, which directly estimates poses from raw images.
no code implementations • 2 Mar 2021 • Bo Yang, Xuelin Cao, Chongwen Huang, Chau Yuen, Lijun Qian, Marco Di Renzo
Reconfigurable intelligent surface (RIS) has become a promising technology for enhancing the reliability of wireless communications, which is capable of reflecting the desired signals through appropriate phase shifts.
no code implementations • 17 Feb 2021 • Yi Lin, Bo Yang, Linchao Li, Dongyue Guo, Jianwei Zhang, Hu Chen, Yi Zhang
Finally, by integrating the SRL with ASR, an end-to-end multilingual ASR framework is formulated in a supervised manner, which is able to translate the raw wave into text in one model, i. e., wave-to-text.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 16 Feb 2021 • Yi Lin, Qin Li, Bo Yang, Zhen Yan, Huachun Tan, Zhengmao Chen
By virtue of the common terminology used in the ATC domain, the transfer learning task can be regarded as a sub-domain adaption task, in which the transferred model is optimized using a joint corpus consisting of baseline samples and new transcribed samples from the target dataset.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 16 Feb 2021 • Yunhui Zheng, Saurabh Pujar, Burn Lewis, Luca Buratti, Edward Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
However, existing datasets to train models for vulnerability identification suffer from multiple limitations such as limited bug context, limited size, and synthetic and unrealistic source code.
no code implementations • 15 Feb 2021 • Anchen Li, Bo Yang
With the prevalence of online social media, users' social connections have been widely studied and utilized to enhance the performance of recommender systems.
no code implementations • 12 Feb 2021 • Mao Li, Bo Yang, Joshua Levy, Andreas Stolcke, Viktor Rozgic, Spyros Matsoukas, Constantinos Papayiannis, Daniel Bone, Chao Wang
Speech emotion recognition (SER) is a key technology to enable more natural human-machine communication.
Ranked #2 on Speech Emotion Recognition on MSP-Podcast (Dominance) (using extra training data)
no code implementations • 8 Feb 2021 • Jiantao Wu, Lin Wang, Bo Yang, Fanqi Li, Chunxiuzi Liu, Jin Zhou
Disentanglement is a highly desirable property of representation owing to its similarity to human understanding and reasoning.
no code implementations • 8 Feb 2021 • Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang
Solid texture synthesis (STS), an effective way to extend a 2D exemplar to a 3D solid volume, exhibits advantages in computational photography.
no code implementations • 7 Feb 2021 • Bo Yang, Hengwei Zhang, Yuchen Zhang, Kaiyong Xu, Jindong Wang
ABI-FGM and CIM can be readily integrated to build a strong gradient-based attack to further boost the success rates of adversarial examples for black-box attacks.
1 code implementation • 7 Feb 2021 • Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang
Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details.
1 code implementation • 25 Jan 2021 • Bo Yang, Rudy Raymond, Hiroshi Imai, Hyungseok Chang, Hidefumi Hiraishi
We are able to show violations of the inequalities on various graph states by constructing low-depth quantum circuits producing them, and by applying the readout error mitigation technique.
Quantum Physics
1 code implementation • 12 Jan 2021 • Bo Yang, Kaiyong Xu, Hengjun Wang, Hengwei Zhang
Before deep neural networks are deployed, adversarial attacks can thus be an important method to evaluate and select robust models in safety-critical applications.
1 code implementation • 22 Dec 2020 • Yu Cheng, Bo wang, Bo Yang, Robby T. Tan
To tackle this problem, we propose a novel framework integrating graph convolutional networks (GCNs) and temporal convolutional networks (TCNs) to robustly estimate camera-centric multi-person 3D poses that do not require camera parameters.
Ranked #1 on Root Joint Localization on Human3.6M
3D Absolute Human Pose Estimation 3D Multi-Person Pose Estimation (absolute) +5
no code implementations • NeurIPS 2020 • Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
To the best of our knowledge, this is the first time that first-order algorithms with polynomial per-iteration complexity and global sublinear rate are designed to find SOSPs of the important class of non-convex problems with linear constraints (almost surely).
no code implementations • NeurIPS 2020 • Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
Most graph embedding methods preserve the proximity in a graph into a manifold in an embedding space.
1 code implementation • CVPR 2021 • Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo
Extracting robust and general 3D local features is key to downstream tasks such as point cloud registration and reconstruction.
Ranked #2 on Point Cloud Registration on ETH (trained on 3DMatch)
no code implementations • 15 Nov 2020 • Zhanhong Yan, Kaiming Yang, Zheng Wang, Bo Yang, Tsutomu Kaizuka, Kimihiko Nakano
By exerting continuous torque on the steering wheel, both the driver and support system can share lateral control of the vehicle.
no code implementations • 29 Oct 2020 • Zhuoxi Liu, Zheng Wang, Bo Yang, Kimihiko Nakano
In this article, the authors present a novel method to learn the personalized tactic of discretionary lane-change initiation for fully autonomous vehicles through human-computer interactions.
no code implementations • 22 Oct 2020 • Shen Ren, Qianxiao Li, Liye Zhang, Zheng Qin, Bo Yang
The future of mobility-as-a-Service (Maas)should embrace an integrated system of ride-hailing, street-hailing and ride-sharing with optimised intelligent vehicle routing in response to a real-time, stochastic demand pattern.
no code implementations • 20 Oct 2020 • Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu
Distributed training techniques have been widely deployed in large-scale deep neural networks (DNNs) training on dense-GPU clusters.
1 code implementation • 19 Oct 2020 • Bo Yang
To endow machines with the ability to perceive the real-world in a three dimensional representation as we do as humans is a fundamental and long-standing topic in Artificial Intelligence.
no code implementations • 13 Oct 2020 • Cheng Yu, Bo wang, Bo Yang, Robby T. Tan
Addressing these problems, we introduce a spatio-temporal network for robust 3D human pose estimation.
1 code implementation • ICCV 2021 • Alex Trevithick, Bo Yang
We present a simple yet powerful neural network that implicitly represents and renders 3D objects and scenes only from 2D observations.
no code implementations • 28 Sep 2020 • Alex Trevithick, Bo Yang
The function models 3D scenes as a general radiance field, which takes a set of 2D images with camera poses and intrinsics as input, constructs an internal representation for each 3D point of the scene, and renders the corresponding appearance and geometry of any 3D point viewing from an arbitrary angle.
2 code implementations • CVPR 2021 • Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
An essential prerequisite for unleashing the potential of supervised deep learning algorithms in the area of 3D scene understanding is the availability of large-scale and richly annotated datasets.
no code implementations • 18 Aug 2020 • Bo Yang, Xuelin Cao, Chau Yuen, Lijun Qian
This motivates us to consider offloading this type of deep learning (DL) tasks to a mobile edge computing (MEC) server due to limited computational resource and energy budget of the UAV, and further improve the inference accuracy.
no code implementations • 29 Jun 2020 • Bo Yang, Xuelin Cao, Joshua Bassey, Xiangfang Li, Timothy Kroecker, Lijun Qian
Multi-access edge computing (MEC) has already shown the potential in enabling mobile devices to bear the computation-intensive applications by offloading some tasks to a nearby access point (AP) integrated with a MEC server (MES).
no code implementations • 27 Jun 2020 • Bo Yang, Xuelin Cao, Xiangfang Li, Chau Yuen, Lijun Qian
This letter proposes an edge learning-based offloading framework for autonomous driving, where the deep learning tasks can be offloaded to the edge server to improve the inference accuracy while meeting the latency constraint.
no code implementations • 15 Jun 2020 • Yuke Zheng, Bo Yang, Cailian Chen
With the development of smart vehicles, computing-intensive tasks are widely and rapidly generated.
no code implementations • 21 Apr 2020 • Chunxiuzi Liu, Fengyang Sun, Qingrui Ni, Lin Wang, Bo Yang
Classical benchmark problems utilize multiple transformation techniques to increase optimization difficulty, e. g., shift for anti centering effect and rotation for anti dimension sensitivity.
no code implementations • AAAI Conference on Artificial Intelligence, AAAI 2020 2020 • Yu Cheng, Bo Yang, Bo wang, Robby T. Tan
Estimating 3D poses from a monocular video is still a challenging task, despite the significant progress that has been made in recent years.
Ranked #3 on 3D Human Pose Estimation on HumanEva-I
no code implementations • 27 Mar 2020 • Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
In this paper, we address the challenge of recovering an accurate breakdown of aggregated tensor data using disaggregation examples.
2 code implementations • 5 Mar 2020 • Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni
In this paper, we present a novel end-to-end learning-based LiDAR relocalization framework, termed PointLoc, which infers 6-DoF poses directly using only a single point cloud as input, without requiring a pre-built map.
Robotics
4 code implementations • ICLR 2020 • Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
From the observations on classical neural network and network geometry, we propose a novel geometric aggregation scheme for graph neural networks to overcome the two weaknesses.
Node Classification on Non-Homophilic (Heterophilic) Graphs Representation Learning +1
no code implementations • 6 Jan 2020 • Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
To preserve the attribute information, we assume that each node has a hidden embedding related to its assigned block.
no code implementations • 26 Nov 2019 • Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin
To our best knowledge, this is the first work that aims at building a real and multilingual ASR corpus for the air traffic related research.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
6 code implementations • CVPR 2020 • Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
We study the problem of efficient semantic segmentation for large-scale 3D point clouds.
Ranked #3 on Semantic Segmentation on Toronto-3D L002
no code implementations • 13 Oct 2019 • Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
There is considerable work in the area of visual odometry (VO), and recent advances in deep learning have brought novel approaches to VO, which directly learn salient features from raw images.
no code implementations • 9 Jul 2019 • Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
This paper proposes low-complexity algorithms for finding approximate second-order stationary points (SOSPs) of problems with smooth non-convex objective and linear constraints.
1 code implementation • NeurIPS 2019 • Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
The framework directly regresses 3D bounding boxes for all instances in a point cloud, while simultaneously predicting a point-level mask for each instance.
Ranked #13 on 3D Instance Segmentation on S3DIS (mPrec metric)
3 code implementations • 31 May 2019 • Jiaxu Cui, Bo Yang, Xia Hu
Attributed graphs, which contain rich contextual features beyond just network structure, are ubiquitous and have been observed to benefit various network analytics applications.
2 code implementations • 14 May 2019 • Lizheng Ma, Jiaxu Cui, Bo Yang
Based on the new surrogate, we then develop a graph Bayesian optimization framework to address the challenging task of deep neural architecture search.
1 code implementation • 6 May 2019 • Chunxu Zhang, Jiaxu Cui, Bo Yang
Although we can benefit a lot from DA, designing appropriate DA policies requires a lot of expert experience and time consumption, and the evaluation of searching the optimal policies is costly.
no code implementations • 26 Mar 2019 • Ahmed S. Zamzam, Bo Yang, Nicholas D. Sidiropoulos
Energy storage devices represent environmentally friendly candidates to cope with volatile renewable energy generation.
no code implementations • 6 Jan 2019 • Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang
Linear mixture models have proven very useful in a plethora of applications, e. g., topic modeling, clustering, and source separation.
2 code implementations • 24th International Conference on Pattern Recognition (ICPR) 2018 • Shuang Yang, Bo Yang
TENE learns the representations of nodes under the guidance of both proximity matrix which captures the network structure and text cluster membership matrix derived from clustering for text information.
no code implementations • 2 Nov 2018 • Xiaoyu Wang, Cailian Chen, Yang Min, Jianping He, Bo Yang, Yang Zhang
Traffic prediction is a fundamental and vital task in Intelligence Transportation System (ITS), but it is very challenging to get high accuracy while containing low computational complexity due to the spatiotemporal characteristics of traffic flow, especially under the metropolitan circumstances.
1 code implementation • 2 Aug 2018 • Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni
However, GRU based approaches are unable to consistently estimate 3D shapes given different permutations of the same set of input images as the recurrent unit is permutation variant.
Ranked #1 on 3D Reconstruction on Data3D−R2N2
no code implementations • COLING 2018 • Xi-Ming Li, Bo Yang
We empirically show that PL-DNB outperforms traditional dataless text classification algorithms with seed words.
no code implementations • 3 May 2018 • Jiaxu Cui, Bo Yang
Network structure optimization is a fundamental task in complex network analysis.
1 code implementation • 25 Apr 2018 • Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
This is further confounded by the fact that shape information about encountered objects in the real world is often impaired by occlusions, noise and missing regions e. g. a robot manipulating an object will only be able to observe a partial view of the entire solid.
1 code implementation • 16 Apr 2018 • Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
Modelling the physical properties of everyday objects is a fundamental prerequisite for autonomous robots.
Robotics
2 code implementations • 1 Feb 2018 • Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen
Unlike existing work which typically requires multiple views of the same object or class labels to recover the full 3D geometry, the proposed 3D-RecGAN++ only takes the voxel grid representation of a depth view of the object as input, and is able to generate the complete 3D occupancy grid with a high resolution of 256^3 by recovering the occluded/missing regions.
no code implementations • 21 Nov 2017 • Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
To address the challenge, we study the problem of active surveillance, i. e., how to identify a small portion of system components as sentinels to effect monitoring, such that the epidemic dynamics of an entire system can be readily predicted from the partial data collected by such sentinels.
2 code implementations • 26 Aug 2017 • Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
In this paper, we propose a novel 3D-RecGAN approach, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial networks.
10 code implementations • ICML 2017 • Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong
To recover the `clustering-friendly' latent representations and to better cluster the data, we propose a joint DR and K-means clustering approach in which DR is accomplished via learning a deep neural network (DNN).
no code implementations • 15 Aug 2016 • Xiao Fu, Kejun Huang, Bo Yang, Wing-Kin Ma, Nicholas D. Sidiropoulos
This paper considers \emph{volume minimization} (VolMin)-based structured matrix factorization (SMF).
no code implementations • 21 May 2016 • Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos
Dimensionality reduction is usually performed in a preprocessing stage that is separate from subsequent data analysis, such as clustering or classification.