no code implementations • 23 Dec 2016 • Rui Chen, Huizhu Jia, Xiaodong Xie, Wen Gao
Aerial images are often degraded by space-varying motion blur and simultaneous uneven illumination.
no code implementations • 23 Dec 2016 • Rui Chen, Huizhu Jia, Xiaodong Xie, Wen Gao
In this letter, we propose a novel image denoising method based on correlation preserving sparse coding.
no code implementations • 4 Apr 2017 • Rui Chen, Huizhu Jia, Xiaodong Xie, Wen Gao
The multiscale dictionary is considered as the product of oscillating dictionary and tolerance dictionary.
no code implementations • 17 May 2017 • Rui Chen, Huizhu Jia, Xiange Wen, Xiaodong Xie
Color artifacts of demosaicked images are often found at contours due to interpolation across edges and cross-channel aliasing.
no code implementations • 9 Dec 2017 • Rui Chen, Changshui Yang, Huizhu Jia, Xiaodong Xie
In this letter, we address the problem of estimating Gaussian noise level from the trained dictionaries in update stage.
1 code implementation • 27 Mar 2018 • Mustafa Abduljabbar, Mohammed Al Farhan, Noha Al-Harthi, Rui Chen, Rio Yokota, Hakan Bagci, David Keyes
With distributed memory optimizations, on the other hand, we report near-optimal efficiency in the weak scalability study with respect to both the logarithmic communication complexity as well as the theoretical scaling complexity of FMM.
Performance Computational Engineering, Finance, and Science Mathematical Software
no code implementations • 20 Aug 2018 • Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
To evaluate the performance of our solution, we collect real-world data from the Samsung Game Launcher platform that includes tens of thousands of games and hundreds of millions of user-app interactions.
no code implementations • 14 Nov 2018 • Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Thus the approach of adapting the existing methods to the streaming environment faces non-trivial technical challenges.
no code implementations • 14 Jan 2019 • Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
In this paper, we present the first large-scale churn analysis for mobile games that supports both micro-level churn prediction and macro-level churn ranking.
no code implementations • 20 Mar 2019 • Xiaotong Chen, Rui Chen, Zhiqiang Sui, Zhefan Ye, Yanqi Liu, R. Iris Bahar, Odest Chadwicke Jenkins
In this work, we propose Generative Robust Inference and Perception (GRIP) as a two-stage object detection and pose estimation system that aims to combine relative strengths of discriminative CNNs and generative inference methods to achieve robust estimation.
no code implementations • ECCV 2020 • Yunhao Ba, Alex Ross Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi
This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the realm of deep learning.
1 code implementation • ICCV 2019 • Rui Chen, Songfang Han, Jing Xu, Hao Su
More specifically, our method predicts the depth in a coarse-to-fine manner.
no code implementations • 14 Sep 2019 • Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao
One typical assumption in inverse reinforcement learning (IRL) is that human experts act to optimize the expected utility of a stochastic cost with a fixed distribution.
no code implementations • 20 Sep 2019 • Rui Chen, Haizhou Ai, Chong Shang, Long Chen, Zijie Zhuang
It remains very challenging to build a pedestrian detection system for real world applications, which demand for both accuracy and speed.
1 code implementation • 31 Oct 2019 • Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su
Grasping is among the most fundamental and long-lasting problems in robotics study.
1 code implementation • CVPR 2020 • Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su
We couple the learning of a multi-view normal estimation module and a multi-view depth estimation module.
no code implementations • 27 Jan 2020 • Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
With the explosive growth of online products and content, recommendation techniques have been considered as an effective tool to overcome information overload, improve user experience, and boost business revenue.
2 code implementations • CVPR 2020 • Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu
To further verify the scalability of our method, we propose a new large-scale multi-human dataset with 12 to 28 camera views.
Ranked #9 on 3D Multi-Person Pose Estimation on Campus
no code implementations • 30 Mar 2020 • Xiyi Wei, Yu-Tian Xiao, Jian Wang, Rui Chen, Wei zhang, Yue Yang, Daojun Lv, Chao Qin, Di Gu, Bo Zhang, Weidong Chen, Jianquan Hou, Ninghong Song, Guohua Zeng, Shancheng Ren
Objective: To conduct a meta-analysis of current studies that examined sex differences in severity and mortality in patients with COVID-19, and identify potential mechanisms underpinning these differences.
1 code implementation • NeurIPS 2020 • Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
Graph neural networks (GNNs), which learn the representation of a node by aggregating its neighbors, have become an effective computational tool in downstream applications.
no code implementations • 2 Jul 2020 • Rui Chen, Wen-Xuan Long, Xiaodong Wang, Jiandong Li
To solve these problems, we propose an overall scheme of the line-of-sight multi-carrier and multi-mode OAM (LoS MCMM-OAM) communication based on uniform circular arrays (UCAs).
no code implementations • 21 Aug 2020 • Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
Different from previous work, in our model, factor discovery and representation learning are simultaneously conducted, and we are able to handle extra attribute information and knowledge.
no code implementations • 4 Dec 2020 • Yanan Wang, Yong Ge, Li Li, Rui Chen, Tong Xu
To improve adaptation efficiency, we learn to recover the user policy and reward from only a few interactions via an inverse reinforcement learning method to assist a meta-level recommendation agent.
Model-based Reinforcement Learning Recommendation Systems +2
no code implementations • 21 Dec 2020 • Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Miao Pan, Yuguang Fang
To address these challenges, in this paper, we attempt to take FL into the design of future wireless networks and develop a novel joint design of wireless transmission and weight quantization for energy efficient FL over mobile devices.
no code implementations • 13 Jan 2021 • Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang
The continuous convergence of machine learning algorithms, 5G and beyond (5G+) wireless communications, and artificial intelligence (AI) hardware implementation hastens the birth of federated learning (FL) over 5G+ mobile devices, which pushes AI functions to mobile devices and initiates a new era of on-device AI applications.
no code implementations • 27 Jan 2021 • Fu-Lai Wang, Xin-Dian Yang, Rui Chen, Xiang Liu
Our results suggest that the $\Omega_{c}\bar D_s^*$ state with $J^P={3}/{2}^{-}$ and the $\Omega_{c}^{*}\bar D_s^*$ state with $J^P={5}/{2}^{-}$ can be recommended as the candidates of the hidden-charm molecular pentaquark with triple strangeness.
High Energy Physics - Phenomenology High Energy Physics - Experiment
1 code implementation • 5 Feb 2021 • Rui Chen, Sanjeeb Dash, Tian Gao
The problem of finding an ancestral acyclic directed mixed graph (ADMG) that represents the causal relationships between a set of variables is an important area of research on causal inference.
no code implementations • 3 May 2021 • Rui Chen, Jared D. Huling, Guanhua Chen, Menggang Yu
The aim of this paper is to develop a weighting framework to mitigate the impact of such misspecification and thus facilitate the generalizability of optimal ITRs from a source population to a target population.
no code implementations • 25 Jun 2021 • Gabriel Appleby, Mateus Espadoto, Rui Chen, Samuel Goree, Alexandru Telea, Erik W Anderson, Remco Chang
Projection algorithms such as t-SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully.
1 code implementation • NeurIPS 2021 • Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
To this end, we analyze the bottleneck of deep GNNs by leveraging the Dirichlet energy of node embeddings, and propose a generalizable principle to guide the training of deep GNNs.
1 code implementation • 20 Jul 2021 • Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Shouye Lv, Bitao Jiang
This paper therefore introduces S2Looking, a building-change-detection dataset that contains large-scale side-looking satellite images captured at various off-nadir angles.
no code implementations • 30 Aug 2021 • Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Graph neural networks (GNNs), which learn the node representations by recursively aggregating information from its neighbors, have become a predominant computational tool in many domains.
no code implementations • ICLR 2022 • Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Instance-dependent label noise (IDN) widely exists in real-world datasets and usually misleads the training of deep neural networks.
no code implementations • ICLR 2022 • Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
Based on the implementation, we propose a memory-efficient framework called ``EXACT'', which for the first time demonstrate the potential and evaluate the feasibility of training GNNs with compressed activations.
no code implementations • 29 Sep 2021 • Jicong Fan, Rui Chen, Chris Ding
We provide theoretical analysis for NE-AECF to investigate the generalization ability of autoencoder and deep learning in collaborative filtering.
no code implementations • 18 Oct 2021 • Wen-Xuan Long, Rui Chen, Marco Moretti, Jiandong Li
Radio orbital angular momentum (OAM) communications require accurate alignment between the transmit and receive beam directions.
no code implementations • 29 Nov 2021 • Jiabei Fan, Rui Chen, Wen-Xuan Long, Marco Moretti, Jiandong Li
Orbital angular momentum (OAM) at radio-frequency provides a novel approach of multiplexing a set of orthogonal modes on the same frequency channel to achieve high spectral efficiencies.
no code implementations • CVPR 2022 • Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su
First, we demonstrate the transferability of our method to out-of-distribution real data by using a mixed domain learning strategy.
no code implementations • 7 Jan 2022 • Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
We introduce a novel masked graph autoencoder (MGAE) framework to perform effective learning on graph structure data.
no code implementations • 23 Jan 2022 • Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian
By treating vidar as spike trains in biological vision, we have further developed a spiking neural network-based machine vision system that combines the speed of the machine and the mechanism of biological vision, achieving high-speed object detection and tracking 1, 000x faster than human vision.
1 code implementation • 9 Mar 2022 • Alvin Shek, Bo Ying Su, Rui Chen, Changliu Liu
For robots to be effectively deployed in novel environments and tasks, they must be able to understand the feedback expressed by humans during intervention.
no code implementations • 31 Mar 2022 • Andres S. Chavez Armijos, Rui Chen, Christos G. Cassandras, Yasir K. Al-Nadawi, Hossein Noukhiz Mahjoub, Hidekazu Araki
We derive optimal control policies for a Connected Automated Vehicle (CAV) and cooperating neighboring CAVs to carry out a lane change maneuver consisting of a longitudinal phase where the CAV properly positions itself relative to the cooperating neighbors and a lateral phase where it safely changes lanes.
no code implementations • 11 May 2022 • Wen-Xuan Long, Rui Chen, Marco Moretti, Wei zhang, Jiandong Li
In details, we first propose an OAM-based three-dimensional (3-D) super-resolution position estimation and rotation velocity detection method, which can accurately estimate the 3-D position and rotation velocity of multiple targets.
no code implementations • 19 May 2022 • Rui Chen, Dian Shi, Xiaoqi Qin, Dongjie Liu, Miao Pan, Shuguang Cui
In this paper, we propose a service delay efficient FL (SDEFL) scheme over mobile devices.
no code implementations • 10 Jun 2022 • Rui Chen, Yongqiang Tang, Wensheng Zhang, Wenlong Feng
Multi-view clustering has attracted much attention thanks to the capacity of multi-source information integration.
1 code implementation • 8 Oct 2022 • Yun Liu, Xiaomeng Xu, Weihang Chen, Haocheng Yuan, He Wang, Jing Xu, Rui Chen, Li Yi
When manipulating an object to accomplish complex tasks, humans rely on both vision and touch to keep track of the object's 6D pose.
1 code implementation • 20 Oct 2022 • Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
Creation of 3D content by stylization is a promising yet challenging problem in computer vision and graphics research.
1 code implementation • 6 Dec 2022 • Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
In this work, we explicitly factor in the uncertainty of estimated ad impression values and model the risk preference of a DSP under a specific state and market environment via a sequential decision process.
1 code implementation • 23 Dec 2022 • Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
To bridge the gap, we introduce a Personalized Subgraph Selector (PS2) as a plug-and-play framework to automatically, personally, and inductively identify optimal subgraphs for different edges when performing GNNLP.
no code implementations • ICCV 2023 • Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan
However, practical deployment of FL over mobile devices is very challenging because (i) conventional FL incurs huge training latency for mobile devices due to interleaved local computing and communications of model updates, (ii) there are heterogeneous training data across mobile devices, and (iii) mobile devices have hardware heterogeneity in terms of computing and communication capabilities.
no code implementations • 6 Feb 2023 • WeiYe Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
Despite the tremendous success of Reinforcement Learning (RL) algorithms in simulation environments, applying RL to real-world applications still faces many challenges.
1 code implementation • 9 Feb 2023 • Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
Generalizable manipulation skills, which can be composed to tackle long-horizon and complex daily chores, are one of the cornerstones of Embodied AI.
no code implementations • 12 Feb 2023 • Jianfa Lai, Manyun Xu, Rui Chen, Qian Lin
We perform a study on the generalization ability of the wide two-layer ReLU neural network on $\mathbb{R}$.
1 code implementation • 12 Feb 2023 • Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li
In practical recommendation scenarios, users often interact with items under multi-typed behaviors (e. g., click, add-to-cart, and purchase).
1 code implementation • NeurIPS 2023 • Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
Motivated by these sufficient conditions, we propose robust fairness regularization (RFR) by considering the worst case within the model weight perturbation ball for each sensitive attribute group.
3 code implementations • ICCV 2023 • Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia
Key to Fantasia3D is the disentangled modeling and learning of geometry and appearance.
Ranked #4 on Text to 3D on T$^3$Bench
1 code implementation • 23 Apr 2023 • Rui Chen, Tao Chen, Qiong Wang, Yazhou Yao
The most common approach is to generate pseudo-labels for unlabeled images to augment the training data.
1 code implementation • 23 May 2023 • WeiYe Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
Due to the diversity of algorithms and tasks, it remains difficult to compare existing safe RL algorithms.
no code implementations • 24 May 2023 • Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
However, model editing for graph neural networks (GNNs) is rarely explored, despite GNNs' widespread applicability.
no code implementations • 20 Jun 2023 • Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
Second, it is difficult to ensure interactive safety due to uncertainty in human behaviors.
1 code implementation • 21 Jun 2023 • WeiYe Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu
In particular, we introduce the framework of Maximum Markov Decision Process, and prove that the worst-case safety violation is bounded under SCPO.
no code implementations • 5 Aug 2023 • Duolan Huang, Quan Chen, Zhun Wei, Rui Chen
Subsequently, the reconstruction is achieved by optimizing a directional albedo model with SS regularization using fast iterative shrinkage-thresholding algorithm.
no code implementations • 7 Aug 2023 • Junyi Zeng, Chong Bao, Rui Chen, Zilong Dong, Guofeng Zhang, Hujun Bao, Zhaopeng Cui
Recently, Neural Radiance Fields (NeRF) has exhibited significant success in novel view synthesis, surface reconstruction, etc.
1 code implementation • 11 Aug 2023 • Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen
To balance efficiency and effectiveness, the vast majority of existing methods follow the two-pass approach, in which the first pass samples a fixed number of unobserved items by a simple static distribution and then the second pass selects the final negative items using a more sophisticated negative sampling strategy.
no code implementations • 18 Sep 2023 • Liuyu Bian, Pengyang Shi, Weihang Chen, Jing Xu, Li Yi, Rui Chen
By approximating and optimizing the utility function, we can optimize the probing locations given a fixed touching budget to better improve the network's performance on real objects.
no code implementations • 21 Sep 2023 • Rui Chen, WeiYe Zhao, Changliu Liu
This paper introduces an approach for synthesizing feasible safety indices to derive safe control laws under state-dependent control spaces.
no code implementations • 23 Sep 2023 • Anirudh Chari, Rui Chen, Jaskaran Grover, Changliu Liu
Given these results, the main contribution of our framework is its versatility in a wide spectrum of influence objectives and mixed-autonomy configurations.
1 code implementation • 4 Oct 2023 • Weiyu Li, Rui Chen, Xuelin Chen, Ping Tan
Therefore, we improve the consistency by aligning the 2D geometric priors in diffusion models with well-defined 3D shapes during the lifting, addressing the vast majority of the problem.
1 code implementation • 20 Oct 2023 • WeiYe Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu
In recent years, trust region on-policy reinforcement learning has achieved impressive results in addressing complex control tasks and gaming scenarios.
no code implementations • 2 Nov 2023 • Chen Qian, Rui Chen, Peiyao Shen, Yongchun Fang, Jifu Yan, Tiefeng Li
This work firstly achieves the closed-loop integration of trajectory generation and control for real 3-dimensional flight of an underactuated FWAV to a practical level.
no code implementations • 1 Jan 2024 • Zifan Wang, Junyu Chen, Ziqing Chen, Pengwei Xie, Rui Chen, Li Yi
We further introduce a distillation-friendly demonstration generation method that automatically generates a million high-quality demonstrations suitable for learning.
1 code implementation • 10 Jan 2024 • Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen
Negative sampling is essential for implicit collaborative filtering to provide proper negative training signals so as to achieve desirable performance.
no code implementations • 31 Jan 2024 • Riwei Lai, Li Chen, Rui Chen, Chi Zhang
Recommender systems (RSs) have become an essential tool for mitigating information overload in a range of real-world applications.
no code implementations • 29 Feb 2024 • Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu
Our aim is to raise awareness of the potential risks under the emerging share-and-play scenario, so as to proactively prevent potential consequences caused by LoRA-as-an-Attack.
1 code implementation • 7 Mar 2024 • Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song
In the second stage, we devise a self-augmentation module to augment sequences to alleviate OUPs.