no code implementations • 27 May 2024 • Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
Transformer-based models have unlocked a plethora of powerful intelligent applications at the edge, such as voice assistant in smart home.
no code implementations • 26 May 2024 • Anjie Liu, Jianhong Wang, Haoxuan Li, Xu Chen, Jun Wang, Samuel Kaski, Mengyue Yang
In human-AI interaction, a prominent goal is to attain human`s desirable outcome with the assistance of AI agents, which can be ideally delineated as a problem of seeking the optimal Nash Equilibrium that matches the human`s desirable outcome.
1 code implementation • 24 May 2024 • Hao Yang, Zexu Sun, Hongteng Xu, Xu Chen
However, the selection bias between control and treatment groups often imbalances the two groups' latent distributions and negatively impacts this method's performance.
no code implementations • 24 May 2024 • Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou
The learning and deployment of long-LLMs remains a challenging problem despite recent progresses.
no code implementations • 21 May 2024 • Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong liu
We observe that both face reenactment/swapping tasks essentially involve combinations of target structure, ID and attribute.
1 code implementation • 14 May 2024 • Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen
Recent advances in knowledge graph embedding (KGE) rely on Euclidean/hyperbolic orthogonal relation transformations to model intrinsic logical patterns and topological structures.
no code implementations • 8 May 2024 • Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di
We propose a discrete-time graphon game formulation on continuous state and action spaces using a representative player to study stochastic games with heterogeneous interaction among agents.
no code implementations • 5 May 2024 • Chenyu Zhang, Xu Chen, Xuan Di
Mean field games (MFGs) are a promising framework for modeling the behavior of large-population systems.
no code implementations • 30 Apr 2024 • Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, CongCong Li
In this paper, we propose STT, a Stateful Tracking model built with Transformers, that can consistently track objects in the scenes while also predicting their states accurately.
1 code implementation • 30 Apr 2024 • Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Inspired by these gaps, we propose to approximate the balancing functions in reproducing kernel Hilbert space and demonstrate that, based on the universal property and representer theorem of kernel functions, the causal balancing constraints can be better satisfied.
no code implementations • 27 Apr 2024 • Liekang Zeng, Shengyuan Ye, Xu Chen, Yang Yang
Motivated by this, in this article, we propose collaborative edge training, a novel training mechanism that orchestrates a group of trusted edge devices as a resource pool for expedited, sustainable big AI model training at the edge.
1 code implementation • 21 Apr 2024 • Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen
Compared with original LLMs, LLM-based agents are featured in their self-evolving capability, which is the basis for solving real-world problems that need long-term and complex agent-environment interactions.
no code implementations • 17 Apr 2024 • Qiangang Du, Jinlong Peng, Xu Chen, Qingdong He, Liren He, Qiang Nie, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
In this paper, we propose a multimodal contrastive learning (ChangeCLIP) based on visual-language pre-training for change detection domain generalization.
no code implementations • 17 Apr 2024 • Qiangang Du, Jinlong Peng, Changan Wang, Xu Chen, Qingdong He, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
Next, a shape-aware and a brightness-aware module are designed to improve the capacity for representation learning.
no code implementations • 17 Apr 2024 • Bowen Fang, Xu Chen, Xuan Di
We make a comparison of our method and baselines, including classic OR algorithms and existing learning methods.
no code implementations • 11 Apr 2024 • Chunwei Meng, Dingyou Ma, Xu Chen, Zhiyong Feng, Yuanwei Liu
A generic modular array architecture is proposed, featuring uniform/non-uniform subarray layouts that allows for flexible deployment.
no code implementations • 6 Apr 2024 • Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai
For the model part, we adopt Generative Pre-training Transformer (GPT) as the sequential recommendation model and design a user modular to capture personalized information.
no code implementations • 19 Mar 2024 • Jianlong Hu, Xu Chen, Zhenye Gan, Jinlong Peng, Shengchuan Zhang, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Liujuan Cao, Rongrong Ji
To address the challenge of real-world anomaly detection, we propose a new framework named Dual Memory bank enhanced representation learning for Anomaly Detection (DMAD).
1 code implementation • 21 Feb 2024 • Steven Wilkins-Reeves, Xu Chen, Qi Ma, Christine Agarwal, Aude Hofleitner
We focus on scenarios where data distributions vary across multiple segments of the entire population and only make local assumptions about the differences between training and test (deployment) distributions within each segment.
1 code implementation • 20 Feb 2024 • Xueyang Feng, Zhi-Yuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen
We construct a human-agent collaboration dataset to train this policy model in an offline reinforcement learning environment.
no code implementations • 29 Jan 2024 • Youcheng Zeng, Xinxin He, Xu Chen, Haonan Tong, Zhaohui Yang, Yijun Guo, Jianjun Hao
To address this, this paper proposes a diffusion model (DM)-based channel enhancer (DMCE) for improving the performance of multi-user semantic communication, with the DM learning the particular data distribution of channel effects on the transmitted semantic features.
no code implementations • 25 Jan 2024 • Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg
Crowdsourcing platforms use various truth discovery algorithms to aggregate annotations from multiple labelers.
no code implementations • 24 Jan 2024 • Zexu Sun, Xu Chen
M$^3$TN consists of two components: 1) a feature representation module with Multi-gate Mixture-of-Experts to improve the efficiency; 2) a reparameterization module by modeling uplift explicitly to improve the effectiveness.
no code implementations • 15 Jan 2024 • Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li
Person-job fit is an essential part of online recruitment platforms in serving various downstream applications like Job Search and Candidate Recommendation.
no code implementations • 21 Dec 2023 • Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian yuan, Dongmei Zhang
We evaluate five state-of-the-art models using three different metrics and the results show that our benchmark presents introduces considerable challenge in the field of tabular data analysis, paving the way for more advanced research opportunities.
no code implementations • 19 Dec 2023 • Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li
Online recruitment platforms typically employ Person-Job Fit models in the core service that automatically match suitable job seekers with appropriate job positions.
no code implementations • 16 Dec 2023 • Jiangbin Lyu, Xu Chen, Jiefeng Zhang, Liqun Fu
Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations (ABSs) to provide wireless connectivity for ground users (GUs) in various emergency scenarios.
no code implementations • 12 Dec 2023 • Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao
Vision-Language Large Models (VLMs) have become primary backbone of AI, due to the impressive performance.
1 code implementation • 11 Dec 2023 • Haoyang He, Jiangning Zhang, Hongxu Chen, Xuhai Chen, Zhishan Li, Xu Chen, Yabiao Wang, Chengjie Wang, Lei Xie
Reconstruction-based approaches have achieved remarkable outcomes in anomaly detection.
1 code implementation • 10 Dec 2023 • Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang
Existing anomaly inspection methods are limited in their performance due to insufficient anomaly data.
no code implementations • 30 Nov 2023 • Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao
Later the augmentation network employs the explicit cross-domain knowledge as augmented information to boost the target domain CTR prediction.
1 code implementation • 30 Nov 2023 • Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges
Since humans interact with diverse objects every day, the holistic 3D capture of these interactions is important to understand and model human behaviour.
no code implementations • 3 Nov 2023 • Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han
Large language models~(LLMs) have greatly advanced the frontiers of artificial intelligence, attaining remarkable improvement in model capacity.
no code implementations • 20 Oct 2023 • Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
Federated Learning (FL) is a distributed learning paradigm that can coordinate heterogeneous edge devices to perform model training without sharing private data.
1 code implementation • 16 Oct 2023 • Baodong Wu, Lei Xia, Qingping Li, Kangyu Li, Xu Chen, Yongqiang Guo, Tieyao Xiang, YuHeng Chen, Shigang Li
As a result, A substantial amount of training time is devoted to task checkpoint saving and loading, task rescheduling and restart, and task manual anomaly checks, which greatly harms the overall training efficiency.
no code implementations • 12 Oct 2023 • Xu Chen, Yunde Jia, Yuwei Wu
In this paper, we propose a fine-grained annotation method for face anti-spoofing.
no code implementations • 11 Oct 2023 • Zhiqing Wei, Chenfei Li, Yanpeng Cui, Xu Chen, Zeyang Meng, Zhiyong Feng
In order to further reduce the convergence time of ND, this paper introduces the ISAC-enabled gossip mechanism into the ND algorithm.
1 code implementation • NeurIPS 2023 • Bowei He, Zexu Sun, Jinxin Liu, Shuai Zhang, Xu Chen, Chen Ma
We theoretically analyze the influence of the generated expert data and the improvement of generalization.
no code implementations • 26 Sep 2023 • Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
Recent years have witnessed the substantial progress of large-scale models across various domains, such as natural language processing and computer vision, facilitating the expression of concrete concepts.
1 code implementation • ICCV 2023 • Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma
To address these problems, we propose a novel phasic content fusing few-shot diffusion model with directional distribution consistency loss, which targets different learning objectives at distinct training stages of the diffusion model.
no code implementations • 6 Sep 2023 • Jingyi Li, Guocheng Liao, Lin Chen, Xu Chen
In this paper, we propose a framework of Roulette, which is a task-oriented semantic privacy-preserving collaborative inference framework for deep learning classifiers.
no code implementations • 31 Aug 2023 • Zhiying Feng, Xu Chen, Qiong Wu, Wen Wu, Xiaoxi Zhang, Qianyi Huang
FedDD consists of two key modules: dropout rate allocation and uploaded parameter selection, which will optimize the model parameter uploading ratios tailored to different clients' heterogeneous conditions and also select the proper set of important model parameters for uploading subject to clients' dropout rate constraints.
no code implementations • 22 Aug 2023 • Yuchong Sun, Bei Liu, Xu Chen, Ruihua Song, Jianlong Fu
Experiments on ViCo-20k show that the comments generated by our ViCo model exhibit the best performance in terms of both quantitative and qualitative results, particularly when engagement is considered.
2 code implementations • 22 Aug 2023 • Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, ZhiYuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen
In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective.
no code implementations • 8 Aug 2023 • Daiheng Gao, Xu Chen, Xindi Zhang, Qi Wang, Ke Sun, Bang Zhang, Liefeng Bo, QiXing Huang
Since traditional warping-based texture generation methods require a significant number of control points to be manually selected for each type of garment, which can be a time-consuming and tedious process.
no code implementations • 19 Jul 2023 • Liekang Zeng, Haowei Chen, Daipeng Feng, Xiaoxi Zhang, Xu Chen
Accurate navigation is of paramount importance to ensure flight safety and efficiency for autonomous drones.
no code implementations • 4 Jul 2023 • Liekang Zeng, Xu Chen, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou
Graph Neural Networks (GNNs) have gained growing interest in miscellaneous applications owing to their outstanding ability in extracting latent representation on graph structures.
no code implementations • 16 Jun 2023 • Wei zhang, Xu Chen
Traditional comparative learning sentence embedding directly uses the encoder to extract sentence features, and then passes in the comparative loss function for learning.
1 code implementation • 6 Jun 2023 • Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
Graph CF has attracted more and more attention in recent years due to its effectiveness in leveraging high-order information in the user-item bipartite graph for better recommendations.
1 code implementation • 5 Jun 2023 • Lei Wang, Jingsen Zhang, Hao Yang, ZhiYuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen
Simulating high quality user behavior data has always been a fundamental problem in human-centered applications, where the major difficulty originates from the intricate mechanism of human decision process.
1 code implementation • 23 May 2023 • Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
Embedding models have shown great power in knowledge graph completion (KGC) task.
no code implementations • 6 May 2023 • Xu Chen, Zida Cheng, Shuai Xiao, Xiaoyi Zeng, Weilin Huang
The translation network is able to compute features from two domains with heterogeneous inputs separately by designing two independent branches, and then learn meaningful cross-domain knowledge using a designed cross-supervised feature translator.
no code implementations • 6 May 2023 • Zida Cheng, Chen Ju, Xu Chen, Zhonghua Zhai, Shuai Xiao, Xiaoyi Zeng, Weilin Huang
We formally define a novel valuable information retrieval task: image-to-multi-modal-retrieval (IMMR), where the query is an image and the doc is an entity with both image and textual description.
no code implementations • ICCV 2023 • Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger
The key to progress is hence to learn generative models of 3D avatars from abundant unstructured 2D image collections.
no code implementations • 22 Apr 2023 • Huirong Ma, Zhi Zhou, Xiaoxi Zhang, Xu Chen
Provisioning dynamic machine learning (ML) inference as a service for artificial intelligence (AI) applications of edge devices faces many challenges, including the trade-off among accuracy loss, carbon emission, and unknown future costs.
1 code implementation • 15 Mar 2023 • Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen
According to the graph, two complementary propensity scores are estimated from the views of item and user, respectively, based on the same set of user feedback data.
no code implementations • 2 Mar 2023 • Xiaohai Hu, Aparajit Venkatesh, Yusen Wan, Guiliang Zheng, Neel Jawale, Navneet Kaur, Xu Chen, Paul Birkmeyer
Detection of slip during object grasping and manipulation plays a vital role in object handling.
no code implementations • 1 Mar 2023 • Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
To alleviate the above problems, we propose to build an explainable recommendation dataset with multi-aspect real user labeled ground truths.
1 code implementation • CVPR 2023 • Chen Guo, Tianjian Jiang, Xu Chen, Jie Song, Otmar Hilliges
Specifically, we define a temporally consistent human representation in canonical space and formulate a global optimization over the background model, the canonical human shape and texture, and per-frame human pose parameters.
1 code implementation • 16 Feb 2023 • Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang
Theoretical analyses guarantee the robustness of signals through the mid-pass filter, and we also shed light on the properties of different frequency signals under adversarial attacks.
no code implementations • 13 Feb 2023 • Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang
To this end, we propose HDHGR, a homophily-oriented deep heterogeneous graph rewiring approach that modifies the HG structure to increase the performance of HGNN.
no code implementations • 1 Feb 2023 • Jiakai Tang, Xu Chen, Xueyang Feng
Cross-Domain Recommendation (CDR) is an effective way to alleviate the cold-start problem.
1 code implementation • ICLR 2023 • Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
In more detail, penultimate layer outputs on the training set are considered as the representations of in-distribution (ID) data.
Ranked #11 on Out-of-Distribution Detection on ImageNet-1k vs Places
no code implementations • 20 Jan 2023 • Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen
To identify dense and small-size pedestrians in surveillance systems, high-resolution cameras are widely deployed, where high-resolution images are captured and delivered to off-the-shelf pedestrian detection models.
no code implementations • 16 Jan 2023 • Qiong Wu, Xu Chen, Tao Ouyang, Zhi Zhou, Xiaoxi Zhang, Shusen Yang, Junshan Zhang
Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data locally.
2 code implementations • ICCV 2023 • Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma
Specifically, we first propose a normality recall memory (NR Memory) to strengthen the normality of student-generated features by recalling the stored normal information.
Ranked #11 on Anomaly Detection on MVTec AD
no code implementations • CVPR 2023 • Tianjian Jiang, Xu Chen, Jie Song, Otmar Hilliges
To achieve this efficiency we propose a carefully designed and engineered system, that leverages emerging acceleration structures for neural fields, in combination with an efficient empty space-skipping strategy for dynamic scenes.
no code implementations • 13 Dec 2022 • Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao
Inspired by the impressive success of contrastive learning (CL), a variety of graph augmentation strategies have been employed to learn node representations in a self-supervised manner.
no code implementations • 4 Dec 2022 • Yinan Zou, Yong Zhou, Xu Chen, Yonina C. Eldar
Simulations show that the proposed unfolding neural network achieves better recovery performance, convergence rate, and adaptivity than current baselines.
no code implementations • 2 Dec 2022 • Qingze Fang, Zhiwei Zhai, Shuai Yu, Qiong Wu, Xiaowen Gong, Xu Chen
The space-air-ground integrated network (SAGIN), one of the key technologies for next-generation mobile communication systems, can facilitate data transmission for users all over the world, especially in some remote areas where vast amounts of informative data are collected by Internet of remote things (IoRT) devices to support various data-driven artificial intelligence (AI) services.
1 code implementation • 28 Nov 2022 • Lanling Xu, Zhen Tian, Gaowei Zhang, Lei Wang, Junjie Zhang, Bowen Zheng, YiFan Li, Yupeng Hou, Xingyu Pan, Yushuo Chen, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
In order to show the recent update in RecBole, we write this technical report to introduce our latest improvements on RecBole.
1 code implementation • 28 Nov 2022 • Xu Chen, Tianjian Jiang, Jie Song, Max Rietmann, Andreas Geiger, Michael J. Black, Otmar Hilliges
A key challenge in making such methods applicable to articulated objects, such as the human body, is to model the deformation of 3D locations between the rest pose (a canonical space) and the deformed space.
no code implementations • IEEE Transactions on Network Science and Engineering 2022 • Jiachen Sun, Ning Ge, Xu Chen, Wei Feng, Jianhua Lu
This screening algorithm is customer-oriented and offers personalized commodities by preventing unqualified sellers from participating in the transaction.
no code implementations • 31 Oct 2022 • Liekang Zeng, Chongyu Yang, Peng Huang, Zhi Zhou, Shuai Yu, Xu Chen
Edge intelligence has arisen as a promising computing paradigm for supporting miscellaneous smart applications that rely on machine learning techniques.
no code implementations • 25 Oct 2022 • Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong
Recommender system has been deployed in a large amount of real-world applications, profoundly influencing people's daily life and production. Traditional recommender models mostly collect as comprehensive as possible user behaviors for accurate preference estimation.
1 code implementation • 2 Sep 2022 • Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao
To model such human capabilities, in this paper, we define and solve a novel AI creation problem based on human experiences.
no code implementations • 15 Aug 2022 • Quanyu Dai, Zhenhua Dong, Xu Chen
Debiased recommender models have recently attracted increasing attention from the academic and industry communities.
1 code implementation • 8 Aug 2022 • Yue Hu, Siheng Chen, Xu Chen, Ya zhang, Xiao Gu
Visual relationship detection aims to detect the interactions between objects in an image; however, this task suffers from combinatorial explosion due to the variety of objects and interactions.
no code implementations • 25 Jul 2022 • Guangjing Huang, Xu Chen, Tao Ouyang, Qian Ma, Lin Chen, Junshan Zhang
To coordinate the selfish and heterogeneous participants, we propose a novel analytic framework for incentivizing effective and efficient collaborations for participant-centric FL.
1 code implementation • 9 Jul 2022 • Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen
As an essential operation of legal retrieval, legal case matching plays a central role in intelligent legal systems.
2 code implementations • 15 Jun 2022 • Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen
In order to support the study of recent advances in recommender systems, this paper presents an extended recommendation library consisting of eight packages for up-to-date topics and architectures.
no code implementations • 8 Jun 2022 • Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, CongCong Li, Dragomir Anguelov
Monocular image-based 3D perception has become an active research area in recent years owing to its applications in autonomous driving.
no code implementations • 23 May 2022 • Xu Chen, Qiu Qiu, Changshan Li, Kunqing Xie
We also construct a real-world entity-wise multivariate time-series dataset from the business data of Ele. me.
1 code implementation • 5 May 2022 • Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo
Recent work for extracting relations from texts has achieved excellent performance.
1 code implementation • 21 Apr 2022 • Binjie Qin, Haohao Mao, Ruipeng Zhang, Yueqi Zhu, Song Ding, Xu Chen
Video decomposition is very important to extract moving foreground objects from complex backgrounds in computer vision, machine learning, and medical imaging, e. g., extracting moving contrast-filled vessels from the complex and noisy backgrounds of X-ray coronary angiography (XCA).
no code implementations • 16 Apr 2022 • Binjie Qin, Haohao Mao, Yiming Liu, Jun Zhao, Yisong Lv, Yueqi Zhu, Song Ding, Xu Chen
Although robust PCA has been increasingly adopted to extract vessels from X-ray coronary angiography (XCA) images, challenging problems such as inefficient vessel-sparsity modelling, noisy and dynamic background artefacts, and high computational cost still remain unsolved.
no code implementations • 11 Apr 2022 • Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, YuAn Wang, Quan Lin, Jun Xu
Then, it defines \emph{the MDP discrete time steps as the ranks in the initial ranking list, and the actions as the prediction of the user-item preference and the selection of the slots}.
no code implementations • 1 Apr 2022 • Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen
The key of sequential recommendation lies in the accurate item correlation modeling.
no code implementations • 31 Mar 2022 • Weiqi Shao, Xu Chen, Long Xia, Jiashu Zhao, Dawei Yin
To solve this problem, in this paper, we propose a novel sequential recommender model via decomposing and modeling user independent preferences.
no code implementations • 28 Mar 2022 • Yinan Zou, Zixin Wang, Xu Chen, Haibo Zhou, Yong Zhou
Based on the convergence analysis, we formulate an optimization problem to minimize the upper bound to enhance the learning performance, followed by proposing an alternating optimization algorithm to facilitate the optimal transceiver design for AirComp-assisted FL.
no code implementations • 9 Mar 2022 • Xu Chen, Xuan Di
This paper aims to combine both economic and network user equilibrium for ride-sourcing and ride-pooling services, while endogenously optimizing the pooling sequence of two origin-destination (OD) pairs.
no code implementations • 9 Mar 2022 • Yanda Meng, Xu Chen, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Yihong Qiao, Xiaowei Huang, Yalin Zheng
In this paper, we propose a novel multi-level aggregation network to regress the coordinates of the vertices of a 3D face from a single 2D image in an end-to-end manner.
no code implementations • CVPR 2022 • Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges
We present a novel method to learn Personalized Implicit Neural Avatars (PINA) from a short RGB-D sequence.
no code implementations • 17 Feb 2022 • Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
It is evidence that representation learning can improve model's performance over multiple downstream tasks in many real-world scenarios, such as image classification and recommender systems.
no code implementations • 14 Feb 2022 • Xu Chen, Yongfeng Zhang, Ji-Rong Wen
Beyond summarizing the previous work, we also analyze the (dis)advantages of existing evaluation methods and provide a series of guidelines on how to select them.
no code implementations • 17 Jan 2022 • Xu Chen, Yahong Han, Xiaohan Wang, Yifan Sun, Yi Yang
An effective approach is to select informative content from the holistic video, yielding a popular family of dynamic video recognition methods.
Ranked #42 on Action Recognition on Something-Something V1
no code implementations • 16 Jan 2022 • Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
To alleviate these problems, in this paper, we propose a novel debiased recommendation framework based on user feature balancing.
1 code implementation • 12 Jan 2022 • Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
The Elo rating system is widely adopted to evaluate the skills of (chess) game and sports players.
no code implementations • CVPR 2022 • Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges
Furthermore, we show that our method can be used on the task of fitting human models to raw scans, outperforming the previous state-of-the-art.
no code implementations • 25 Dec 2021 • Peng Huang, Liekang Zeng, Xu Chen, Ke Luo, Zhi Zhou, Shuai Yu
With the wide penetration of smart robots in multifarious fields, Simultaneous Localization and Mapping (SLAM) technique in robotics has attracted growing attention in the community.
1 code implementation • CVPR 2022 • Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler, Xu Chen, Michael J. Black, Otmar Hilliges
Traditional 3D morphable face models (3DMMs) provide fine-grained control over expression but cannot easily capture geometric and appearance details.
no code implementations • 6 Dec 2021 • Yinan Zou, Yong Zhou, Yuanming Shi, Xu Chen
To mitigate all the aforementioned limitations, we in this paper develop an effective unfolding neural network framework built upon the proximal operator method to tackle the JADCE problem in IoT networks, where the base station is equipped with multiple antennas.
no code implementations • 6 Dec 2021 • Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
We propose a sequential model with dynamic number of representations for recommendation systems (RDRSR).
no code implementations • 6 Dec 2021 • Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Dawei Yin
It is necessary to learn a dynamic group of representations according the item groups in a user historical behavior.
1 code implementation • 2 Dec 2021 • Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang
To address the non-trivial adaptation challenges in this practical scenario, we propose a model-agnostic algorithm called SOGA for domain adaptation to fully exploit the discriminative ability of the source model while preserving the consistency of structural proximity on the target graph.
no code implementations • 30 Nov 2021 • Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
Based on the analysis results, we articulate the Neuron Steadiness Hypothesis: the neuron with similar responses to instances of the same class leads to better generalization.
1 code implementation • 29 Nov 2021 • Chen Guo, Xu Chen, Jie Song, Otmar Hilliges
In this work, we propose a method capable of capturing the dynamic 3D human shape from a monocular video featuring challenging body poses, without any additional input.
1 code implementation • 5 Nov 2021 • Zirui Zhu, Chen Gao, Xu Chen, Nian Li, Depeng Jin, Yong Li
With the hypergraph convolutional networks, the social relations can be modeled in a more fine-grained manner, which more accurately depicts real users' preferences, and benefits the recommendation performance.
1 code implementation • 1 Nov 2021 • Hsuan-I Ho, Xu Chen, Jie Song, Otmar Hilliges
We propose to address these issues in a motion-guided frame-upsampling framework that is capable of producing realistic human motion and appearance.
no code implementations • 7 Oct 2021 • Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia
We propose a multi-stage coarse-to-fine CNN-based framework, called SkullEngine, for high-resolution segmentation and large-scale landmark detection through a collaborative, integrated, and scalable JSD model and three segmentation and landmark detection refinement models.
no code implementations • ICCV 2021 • Zijian Dong, Jie Song, Xu Chen, Chen Guo, Otmar Hilliges
In this paper we contribute a simple yet effective approach for estimating 3D poses of multiple people from multi-view images.
Ranked #16 on 3D Multi-Person Pose Estimation on Shelf
3D Multi-Person Pose Estimation Multi-Person Pose Estimation
no code implementations • 29 Sep 2021 • Xu Chen
Semi-supervised learning has been successfully applied to few-shot learning (FSL) due to its capability of leveraging the information of limited labeled data and massive unlabeled data.
no code implementations • 29 Sep 2021 • Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang
In many real-world scenarios, such as image classification and recommender systems, it is evidence that representation learning can improve model's performance over multiple downstream tasks.
no code implementations • 11 Sep 2021 • Deqiang Xiao, Hannah Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guofang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia
In the training stage, the simulator maps jaw deformities of a patient bone to a normal bone to generate a simulated deformed bone.
no code implementations • 2 Sep 2021 • Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang
To alleviate this problem, in this paper, we propose to reformulate the recommendation task within the causal inference framework, which enables us to counterfactually simulate user ranking-based preferences to handle the data scarce problem.
2 code implementations • 24 Aug 2021 • Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Technically, for each item recommended to each user, CountER formulates a joint optimization problem to generate minimal changes on the item aspects so as to create a counterfactual item, such that the recommendation decision on the counterfactual item is reversed.
1 code implementation • 14 Aug 2021 • Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang
Initialization plays a critical role in the training of deep neural networks (DNN).
no code implementations • 22 Jun 2021 • Ning Zhang, Qian Ma, Xu Chen
We show that enforced by a punishment strategy, such a cooperative strategy is a subgame perfect Nash equilibrium (SPNE) of the infinitely repeated game, under which some clients who are free riders at the NE of the stage game choose to be (partial) contributors.
1 code implementation • 18 Jun 2021 • YuHan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji
In this work, we propose a high fidelity face swapping method, called HifiFace, which can well preserve the face shape of the source face and generate photo-realistic results.
Ranked #7 on Face Swapping on FaceForensics++
1 code implementation • 12 Jun 2021 • Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
Trust region methods are widely applied in single-agent reinforcement learning problems due to their monotonic performance-improvement guarantee at every iteration.
1 code implementation • 11 Jun 2021 • Xu Chen, Junshan Wang, Kunqing Xie
With the rapid growth of traffic sensors deployed, a massive amount of traffic flow data are collected, revealing the long-term evolution of traffic flows and the gradual expansion of traffic networks.
no code implementations • 6 Jun 2021 • Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
To simultaneously extract spatial and relational information from tables, we propose a novel neural network architecture, TabularNet.
no code implementations • 17 May 2021 • Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang
Network Embedding aims to learn a function mapping the nodes to Euclidean space contribute to multiple learning analysis tasks on networks.
1 code implementation • 8 May 2021 • Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou
We realize this strategy with contrastive attraction and contrastive repulsion (CACR), which makes the query not only exert a greater force to attract more distant positive samples but also do so to repel closer negative samples.
1 code implementation • ICCV 2021 • Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger
However, this is problematic since the backward warp field is pose dependent and thus requires large amounts of data to learn.
no code implementations • 31 Mar 2021 • Xu Chen, Bangguo Yin, Songqiang Chen, Haifeng Li, Tian Xu
The series strategy avoids RS-m inconsistency as inputs are high-resolution large-scale RSIs, and reduces the distribution gap in multi-scale map generation through similar pixel distributions among multi-scale maps.
1 code implementation • 22 Feb 2021 • Jinjin Tian, Xu Chen, Eugene Katsevich, Jelle Goeman, Aaditya Ramdas
Simultaneous inference allows for the exploration of data while deciding on criteria for proclaiming discoveries.
Statistics Theory Methodology Statistics Theory
1 code implementation • 3 Feb 2021 • Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
However, pure correlative learning may lead to Simpson's paradox in predictions, and thus results in sacrificed recommendation performance.
no code implementations • 21 Jan 2021 • Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang
To meet the ever increasing mobile traffic demand in 5G era, base stations (BSs) have been densely deployed in radio access networks (RANs) to increase the network coverage and capacity.
no code implementations • 15 Jan 2021 • Shuai Yu, Xiaowen Gong, Qian Shi, Xiaofei Wang, Xu Chen
After discussing several existing orbital and aerial edge computing architectures, we propose a framework of edge computing-enabled space-air-ground integrated networks (EC-SAGINs) to support various IoV services for the vehicles in remote areas.
no code implementations • 13 Jan 2021 • Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
This paper proposes a discrete knowledge graph (KG) embedding (DKGE) method, which projects KG entities and relations into the Hamming space based on a computationally tractable discrete optimization algorithm, to solve the formidable storage and computation cost challenges in traditional continuous graph embedding methods.
no code implementations • 9 Jan 2021 • Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang
Motivated by this problem, we propose to generate free-text natural language explanations for personalized recommendation.
1 code implementation • 1 Jan 2021 • Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
We derive the lower bound of agents' payoff improvements for MATRL methods, and also prove the convergence of our method on the meta-game fixed points.
no code implementations • 28 Dec 2020 • Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang
The capability of imagining internally with a mental model of the world is vitally important for human cognition.
no code implementations • 15 Dec 2020 • Kuang Huang, Xu Chen, Xuan Di, Qiang Du
In this paper, we aim to develop a game-theoretic model to solve for AVs's optimal driving strategies of velocity control in the interior of a road link and route choice at a junction node.
Autonomous Vehicles Decision Making Optimization and Control Systems and Control Systems and Control
1 code implementation • 14 Dec 2020 • Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang
In this paper, we propose FedHome, a novel cloud-edge based federated learning framework for in-home health monitoring, which learns a shared global model in the cloud from multiple homes at the network edges and achieves data privacy protection by keeping user data locally.
no code implementations • 6 Dec 2020 • Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang
CoEdge utilizes available computation and communication resources at the edge and dynamically partitions the DNN inference workload adaptive to devices' computing capabilities and network conditions.
no code implementations • 30 Nov 2020 • Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
Further analysis indicates that the locality and globality of the traffic networks are critical to traffic flow prediction and the proposed TSSRGCN model can adapt to the various temporal traffic patterns.
no code implementations • 22 Nov 2020 • Zhenyu Shou, Xu Chen, Yongjie Fu, Xuan Di
We show that the routing behavior of intelligent agents is shown to converge to the classical notion of predictive dynamic user equilibrium (DUE) when traffic environments are simulated using dynamic loading models (DNL).
3 code implementations • 3 Nov 2020 • Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya zhang, Ivor W Tsang
Thereby, designing a new GNN for these graphs is a burning issue to the graph learning community.
no code implementations • 3 Nov 2020 • Yunpeng Weng, Xu Chen, Liang Chen, Wei Liu
Most existing GNN models exploit a single type of aggregator (e. g., mean-pooling) to aggregate neighboring nodes information, and then add or concatenate the output of aggregator to the current representation vector of the center node.
1 code implementation • 3 Nov 2020 • Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.
1 code implementation • 1 Nov 2020 • Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng
Inspired by Euler's Elastica model and recent active contour models introduced into the field of deep learning, we propose a novel active contour with elastica (ACE) loss function incorporating Elastica (curvature and length) and region information as geometrically-natural constraints for the image segmentation tasks.
1 code implementation • 29 Oct 2020 • Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
User profiles can capture prominent user behaviors from the history, and provide valuable signals about which kinds of path patterns are more likely to lead to potential items of interest for the user.
no code implementations • 25 Sep 2020 • Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang song, Tao Zhang, Ji-Rong Wen
Compared with pure text-based matching models, the proposed approach is able to learn better data representations from limited or even sparse interaction data, which is more resistible to noise in training data.
no code implementations • 22 Sep 2020 • Shuai Yu, Xu Chen, Zhi Zhou, Xiaowen Gong, Di wu
Ultra-dense edge computing (UDEC) has great potential, especially in the 5G era, but it still faces challenges in its current solutions, such as the lack of: i) efficient utilization of multiple 5G resources (e. g., computation, communication, storage and service resources); ii) low overhead offloading decision making and resource allocation strategies; and iii) privacy and security protection schemes.
1 code implementation • 15 Sep 2020 • Xu Chen, Ya zhang, Ivor Tsang, Yuangang Pan, Jingchao Su
In this paper, we attempt to learn both features of user preferences in a more principled way.
1 code implementation • 28 Aug 2020 • Xu Chen, Jiangchao Yao, Maosen Li, Ya zhang, Yan-Feng Wang
Comprehensive results on both link sign prediction and node recommendation task demonstrate the effectiveness of DVE.
1 code implementation • 26 Aug 2020 • Xu Chen, Yuangang Pan, Ivor Tsang, Ya zhang
In this paper, we study how to learn node representations against perturbations in GNN.
no code implementations • ECCV 2020 • Jie Song, Xu Chen, Otmar Hilliges
We propose a novel algorithm for the fitting of 3D human shape to images.
Ranked #10 on 3D Human Pose Estimation on EMDB
no code implementations • ECCV 2020 • Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges
Many object pose estimation algorithms rely on the analysis-by-synthesis framework which requires explicit representations of individual object instances.
no code implementations • 16 Jul 2020 • Jingchao Su, Xu Chen, Ya zhang, Siheng Chen, Dan Lv, Chenyang Li
The two-level alignment acts as two different constraints on different relations of the shared entities and facilitates better knowledge transfer for relational learning on multiple bipartite graphs.
no code implementations • 16 Jul 2020 • Chenyang Li, Xu Chen, Ya zhang, Siheng Chen, Dan Lv, Yan-Feng Wang
Most existing methods focus on preserving the first-order proximity between entities in the KG.
no code implementations • 15 Jul 2020 • Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen
With the assistance of edge servers, user equipments (UEs) are able to run deep neural network (DNN) based AI applications, which are generally resource-hungry and compute-intensive, such that an individual UE can hardly afford by itself in real time.
no code implementations • 30 Jun 2020 • Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Xu Chen, Yongfeng Zhang
State-of-the-art recommender systems have the ability to generate high-quality recommendations, but usually cannot provide intuitive explanations to humans due to the usage of black-box prediction models.
no code implementations • 6 May 2020 • Li You, Xu Chen, Xiaohang Song, Fan Jiang, Wenjin Wang, Xiqi Gao, Gerhard Fettweis
Based on these insights, the network massive MIMO precoding design is reduced to a network sum-rate maximization problem with respect to beam domain power allocation.
no code implementations • 9 Apr 2020 • Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen
In this article, we propose an edge computation offloading framework based on Deep Imitation Learning (DIL) and Knowledge Distillation (KD), which assists end devices to quickly make fine-grained decisions to optimize the delay of computation tasks online.
no code implementations • 26 Mar 2020 • Weilin Zheng, Zibin Zheng, Hong-Ning Dai, Xu Chen, PeiLin Zheng
It is challenging to process and analyze a high volume of raw EOSIO data and establish the mapping from original raw data to the well-grained datasets since it requires substantial efforts in extracting various types of data as well as sophisticated knowledge on software engineering and data analytics.
Computational Engineering, Finance, and Science Cryptography and Security
no code implementations • 22 Mar 2020 • Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling
We develop a novel \textit{hybrid parallelism} method, which is the key to HierTrain, to adaptively assign the DNN model layers and the data samples across the three levels of edge device, edge server and cloud center.
no code implementations • 9 Mar 2020 • Qiong Wu, Muhong Wu, Xu Chen, Zhi Zhou, Kaiwen He, Liang Chen
Accordingly, we further propose a novel autonomous content placement mechanism CP-GAN which adopts the generative adversarial network (GAN) for agile placement decision making to reduce the content access latency and enhance users' QoE.
no code implementations • 26 Feb 2020 • Siqi Luo, Xu Chen, Qiong Wu, Zhi Zhou, Shuai Yu
We further formulate a joint computation and communication resource allocation and edge association problem for device users under HFEL framework to achieve global cost minimization.
Distributed, Parallel, and Cluster Computing
no code implementations • 25 Feb 2020 • Qiong Wu, Kaiwen He, Xu Chen
Internet of Things (IoT) have widely penetrated in different aspects of modern life and many intelligent IoT services and applications are emerging.
no code implementations • 5 Nov 2019 • Xuan Di, Xu Chen, Eric Talley
The game is then simulated with numerical examples to investigate the emergence of human drivers' moral hazard, the AV manufacturer's role in traffic safety, and the law maker's role in liability design.
no code implementations • 17 Oct 2019 • Xu Chen, Kenan Cui, Ya zhang, Yan-Feng Wang
Recently, recommendation according to sequential user behaviors has shown promising results in many application scenarios.
no code implementations • 5 Oct 2019 • Maosen Li, Siheng Chen, Xu Chen, Ya zhang, Yan-Feng Wang, Qi Tian
For the backbone, we propose multi-branch multi-scale graph convolution networks to extract spatial and temporal features.
Ranked #39 on Skeleton Based Action Recognition on NTU RGB+D
no code implementations • 4 Oct 2019 • En Li, Liekang Zeng, Zhi Zhou, Xu Chen
As a key technology of enabling Artificial Intelligence (AI) applications in 5G era, Deep Neural Networks (DNNs) have quickly attracted widespread attention.
3 code implementations • 23 Jul 2019 • Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya zhang, Ivor W. Tsang
NANG learns a unifying latent representation which is shared by both node attributes and graph structures and can be translated to different modalities.
1 code implementation • 19 Jul 2019 • Xiaofei Wang, Yiwen Han, Victor C. M. Leung, Dusit Niyato, Xueqiang Yan, Xu Chen
Ubiquitous sensors and smart devices from factories and communities are generating massive amounts of data, and ever-increasing computing power is driving the core of computation and services from the cloud to the edge of the network.
no code implementations • 10 Jun 2019 • Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun
Enabling a machine to read and comprehend the natural language documents so that it can answer some questions remains an elusive challenge.
no code implementations • CVPR 2019 • Xu Chen, Bryan M. Williams, Srinivasa R. Vallabhaneni, Gabriela Czanner, Rachel Williams, Yalin Zheng
Our aim was to tackle this limitation by developing a new model based on deep learning which takes into account the area inside as well as outside the region of interest as well as the size of boundaries during learning.
no code implementations • 24 May 2019 • Zhi Zhou, Xu Chen, En Li, Liekang Zeng, Ke Luo, Junshan Zhang
To this end, we conduct a comprehensive survey of the recent research efforts on edge intelligence.
no code implementations • 2 May 2019 • Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
While recent developments on visually-aware recommender systems have taken the product image into account, none of them has considered the aesthetic aspect.
1 code implementation • CVPR 2019 • Maosen Li, Siheng Chen, Xu Chen, Ya zhang, Yan-Feng Wang, Qi Tian
We validate AS-GCN in action recognition using two skeleton data sets, NTU-RGB+D and Kinetics.
1 code implementation • 8 Jan 2019 • Xu Chen, Jie Song, Otmar Hilliges
This paper studies the task of full generative modelling of realistic images of humans, guided only by coarse sketch of the pose, while providing control over the specific instance or type of outfit worn by the user.
2 code implementations • ICCV 2019 • Xu Chen, Jie Song, Otmar Hilliges
The approach is self-supervised and only requires 2D images and associated view transforms for training.
no code implementations • 10 Dec 2018 • Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
Traditional plane-based clustering methods measure the cost of within-cluster and between-cluster by quadratic, linear or some other unbounded functions, which may amplify the impact of cost.
no code implementations • EMNLP 2018 • Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong
Joint representation learning of words and entities benefits many NLP tasks, but has not been well explored in cross-lingual settings.
no code implementations • 21 Nov 2018 • Xu Chen, Saratendu Sethi
The classification of electrocardiographic (ECG) signals is a challenging problem for healthcare industry.
no code implementations • 22 Sep 2018 • Kenan Cui, Xu Chen, Jiangchao Yao, Ya zhang
Conventional CF-based methods use the user-item interaction data as the sole information source to recommend items to users.
no code implementations • 19 Sep 2018 • Xiaofei Wang, Yiwen Han, Chenyang Wang, Qiyang Zhao, Xu Chen, Min Chen
In order to bring more intelligence to the edge systems, compared to traditional optimization methodology, and driven by the current deep learning techniques, we propose to integrate the Deep Reinforcement Learning techniques and Federated Learning framework with the mobile edge systems, for optimizing the mobile edge computing, caching and communication.
no code implementations • 16 Sep 2018 • Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin
Considering that the aesthetic preference varies significantly from user to user and by time, we then propose a new tensor factorization model to incorporate the aesthetic features in a personalized manner.
no code implementations • 14 Sep 2018 • Tao Ouyang, Zhi Zhou, Xu Chen
To address this challenge in terms of the performance-cost trade-off, in this paper we study the mobile edge service performance optimization problem under long-term cost budget constraint.
no code implementations • 20 Jun 2018 • En Li, Zhi Zhou, Xu Chen
As the backbone technology of machine learning, deep neural networks (DNNs) have have quickly ascended to the spotlight.
no code implementations • 31 May 2018 • Yali Yuan, Chencheng Liang, Megumi Kaneko, Xu Chen, Dieter Hogrefe
In this game, the sensor node acts as a leader taking into account factors such as 'two-hop' anchor nodes and energy consumption, while anchor nodes act as multiple followers, considering their ability to localize sensor nodes and their energy consumption.
Networking and Internet Architecture
5 code implementations • 9 May 2018 • Qingyao Ai, Vahid Azizi, Xu Chen, Yongfeng Zhang
Specifically, we propose a knowledge-base representation learning framework to embed heterogeneous entities for recommendation, and based on the embedded knowledge base, a soft matching algorithm is proposed to generate personalized explanations for the recommended items.
Ranked #3 on Link Prediction on Yelp
no code implementations • 30 Apr 2018 • Yongfeng Zhang, Xu Chen
In this survey, we provide a comprehensive review for the explainable recommendation research.
1 code implementation • ECCV 2018 • Hao Ge, Yin Xia, Xu Chen, Randall Berry, Ying Wu
Inspired by the fictitious play learning process, a novel training method, referred to as Fictitious GAN, is introduced.
1 code implementation • 17 Mar 2018 • Yongfeng Zhang, Qingyao Ai, Xu Chen, Pengfei Wang
In this work, we propose to reason over knowledge base embeddings for personalized recommendation.
no code implementations • 13 Feb 2018 • Hongteng Xu, Xu Chen, Lawrence Carin
We consider the learning of multi-agent Hawkes processes, a model containing multiple Hawkes processes with shared endogenous impact functions and different exogenous intensities.
no code implementations • ICLR 2018 • Xu Chen, Jiang Wang, Hao Ge
This formulation shows the connection between the standard GAN training process and the primal-dual subgradient methods for convex optimization.
no code implementations • 31 Jan 2018 • Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha
By this, we can not only provide recommendation results to the users, but also tell the users why an item is recommended by providing intuitive visual highlights in a personalized manner.
no code implementations • 23 Dec 2017 • Jianwei Zhang, Xu Chen, Xuezhong Xiao
To solve the issue of segmenting rich texture images, a novel detection methods based on the affine invariable principle is proposed.
2 code implementations • CIKM 2017 • Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft
In this framework, each type of information source (review text, product image, numerical rating, etc) is adopted to learn the corresponding user and item representations based on available (deep) representation learning architectures.
no code implementations • 14 Oct 2017 • Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin
The superposition of Hawkes processes is demonstrated to be beneficial for tightening the upper bound of excess risk under certain conditions, and we show the feasibility of the benefit in typical situations.
no code implementations • ACL 2017 • Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li
Integrating text and knowledge into a unified semantic space has attracted significant research interests recently.
no code implementations • 21 Aug 2016 • Yun Wang, Xu Chen, Peter J. Ramadge
In this context, we propose and explore a feedback controlled sequential screening scheme.
no code implementations • 6 Nov 2015 • Xu Chen, Han Zhang, Judith Gelernter
Our results for geoparsing Chinese and Arabic text using our multi-lingual geoparsing method are comparable to our results for geoparsing English text with our English tools.
no code implementations • 30 Sep 2015 • Xiuyuan Cheng, Xu Chen, Stephane Mallat
An orthogonal Haar scattering transform is a deep network, computed with a hierarchy of additions, subtractions and absolute values, over pairs of coefficients.
no code implementations • NeurIPS 2014 • Xu Chen, Xiuyuan Cheng, Stéphane Mallat
The classification of high-dimensional data defined on graphs is particularly difficult when the graph geometry is unknown.
no code implementations • 12 Apr 2014 • Xu Chen, Alfred Hero, Silvio Savarese
In this paper, we propose a novel action recognition framework.