no code implementations • CCL 2021 • Jing Li, Suge Wang, Xin Chen, Dian Wang
“在散文阅读理解的鉴赏类问题中, 对拟人句赏析考查比较频繁。目前, 已有的工作仅对拟人句中的本体要素进行识别并抽取, 存在要素抽取不完整的问题, 尤其是当句子中出现多个本体时, 需要确定拟人词与各个本体的对应关系。为解决这些问题, 本文提出了基于人物特征增强的拟人句要素抽取方法。该方法利用特定领域的特征, 增强句子的向量表示, 再利用条件随机场模型对拟人句中的本体和拟人词要素进行识别。在此基础上, 利用自注意力机制对要素之间的关系进行检测, 使用要素同步机制和关系同步机制进行信息交互, 用于要素识别和关系检测的输入更新。在自建的拟人数据集上进行<本体, 拟人词>抽取的比较实验, 结果表明本文提出的模型性能优于其他比较模型。”
1 code implementation • 26 Sep 2023 • Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhensu Chen, Xiaopeng Zhang, Qi Tian
Recently years have witnessed a rapid development of large language models (LLMs).
1 code implementation • 19 Sep 2023 • Ruiqi Xu, Yongfeng Huang, Xin Chen, Lin Zhang
In this work, we introduce the concept of complex text style transfer tasks, and constructed complex text datasets based on two widely applicable scenarios.
no code implementations • 18 Sep 2023 • Xin Chen, Jason M. Klusowski, Yan Shuo Tan
In this paper, we learn these weights analogously by minimizing an estimate of the population risk subject to a nonnegativity constraint.
1 code implementation • 6 Sep 2023 • Sijin Chen, Hongyuan Zhu, Mingsheng Li, Xin Chen, Peng Guo, Yinjie Lei, Gang Yu, Taihao Li, Tao Chen
Moreover, we argue that object localization and description generation require different levels of scene understanding, which could be challenging for a shared set of queries to capture.
no code implementations • 5 Sep 2023 • Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
Sleep stage classification is crucial for detecting patients' health conditions.
no code implementations • 18 Aug 2023 • Chenwei Wang, Xin Chen, You Qin, Siyi Luo, Yulin Huang, Jifang Pei, Jianyu Yang
Then, a feature discrimination approach with hybrid similarity measurement is introduced to measure and mitigate the structural and vector angle impacts of varying imaging conditions on the extracted features from SAR images.
1 code implementation • ICCV 2023 • Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu
The Bridge Module incorporates the high-level information of deep features into the shallow large-resolution features.
no code implementations • 7 Aug 2023 • Xin Chen, Hungpo Chao, Wenbo Shi, Na Li
This paper presents a comprehensive framework for advancing research and policy development related to decarbonization in electric power systems.
no code implementations • 1 Aug 2023 • Zijian Lv, Xin Chen, Zijian Feng
Accurate online transient stability prediction is critical for ensuring power system stability when facing disturbances.
no code implementations • 1 Aug 2023 • Yubao Zhang, Xin Chen, Yi Gu, Zhicheng Li, Wu Kai
On the grid side, load fluctuations and renewable energy consumption are considered, while on the EVA side, energy constraints and charging costs are considered.
no code implementations • 27 Jul 2023 • Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Wang, Samuel Marks, Charbel-Raphaël Segerie, Micah Carroll, Andi Peng, Phillip Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals.
no code implementations • 20 Jul 2023 • Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
In this paper, we propose a radiologist-inspired method to simulate the diagnostic process of radiologists, which is composed of context parsing and prototype recalling modules.
no code implementations • 10 Jul 2023 • Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang
In our experiments, the proposed method achieves a sensitivity of 85. 0% and specificity of 92. 6% for detecting gastric tumors on a hold-out test set consisting of 100 patients with cancer and 148 normal.
no code implementations • 7 Jul 2023 • Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
Graph neural network (GNN) has gained increasing popularity in recent years owing to its capability and flexibility in modeling complex graph structure data.
1 code implementation • 29 Jun 2023 • Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
We present a novel alignment-before-generation approach to tackle the challenging task of generating general 3D shapes based on 2D images or texts.
1 code implementation • 26 Jun 2023 • Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen
Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language.
no code implementations • 23 Jun 2023 • Long Huo, Xin Chen
A MECF-based unsupervised learning approach is applied in locating the source of the forced oscillation (FO), a periodic disturbance that detrimentally impacts power grids.
no code implementations • 12 Jun 2023 • Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
To address this issue, we propose a coupled attention-based neural network framework (CAN) for anomaly detection in multivariate time series data featuring dynamic variable relationships.
no code implementations • 10 Jun 2023 • Shuaida He, Jiarui Zhang, Xin Chen
Sliced inverse regression (SIR), which includes linear discriminant analysis (LDA) as a special case, is a popular and powerful dimension reduction tool.
no code implementations • 2 Jun 2023 • Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng
Vulnerability detection is a critical problem in software security and attracts growing attention both from academia and industry.
no code implementations • 30 May 2023 • Hengchao Chen, Xin Chen, Mohamad Elmasri, Qiang Sun
This paper investigates gradient descent for solving low-rank matrix approximation problems.
no code implementations • 25 May 2023 • David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause
We propose Convex Constraint Learning for Reinforcement Learning (CoCoRL), a novel approach for inferring shared constraints in a Constrained Markov Decision Process (CMDP) from a set of safe demonstrations with possibly different reward functions.
no code implementations • 18 May 2023 • Yuan Zhou, Xin Chen, Yanrong Guo, Shijie Hao, Richang Hong, Qi Tian
Incremental few-shot semantic segmentation (IFSS) aims to incrementally extend a semantic segmentation model to novel classes according to only a few pixel-level annotated data, while preserving its segmentation capability on previously learned base categories.
no code implementations • 17 May 2023 • Yubao Zhang, Xin Chen, Sumei Gong, Haojie Chen
Simulation results demonstrate that the proposed multivariate HCMAPPO can significantly increase wind farm power output compared to the traditional PID control, coordinated model-based predictive control, and multi-agent deep deterministic policy gradient algorithm.
no code implementations • 12 May 2023 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Zhiqiang Deng, Wenkai Sun, Xin Chen, Jian Zhang
Taking into consideration the semantic invariance of objects, we convert the object map to a topological map to provide semantic descriptors to enable multi-map matching.
no code implementations • 28 Apr 2023 • Xin Chen, Anzhu Yu, Qun Sun, Wenyue Guo, Qing Xu, Bowei Wen
However, obtaining bi-phase images for the same area is difficult, and complex post-processing methods are required to update the existing databases. To solve these problems, we proposed a road detection method based on semi-supervised learning (SRUNet) specifically for road-updating applications; in this approach, historical road information was fused with the latest images to directly obtain the latest state of the road. Considering that the texture of a road is complex, a multi-branch network, named the Map Encoding Branch (MEB) was proposed for representation learning, where the Boundary Enhancement Module (BEM) was used to improve the accuracy of boundary prediction, and the Residual Refinement Module (RRM) was used to optimize the prediction results.
1 code implementation • CVPR 2023 • Xin Chen, Houwen Peng, Dong Wang, Huchuan Lu, Han Hu
In this paper, we present a new sequence-to-sequence learning framework for visual tracking, dubbed SeqTrack.
Ranked #2 on
Visual Object Tracking
on TNL2K
no code implementations • 25 Apr 2023 • Mengyu Liu, Pengyuan Lu, Xin Chen, Fanxin Kong, Oleg Sokolsky, Insup Lee
We propose a model-free reinforcement learning solution, namely the ASAP-Phi framework, to encourage an agent to fulfill a formal specification ASAP.
no code implementations • 22 Apr 2023 • Xin Chen, Hengheng Zhang, Xiaotao Gu, Kaifeng Bi, Lingxi Xie, Qi Tian
The Mixture of Experts (MoE) model becomes an important choice of large language models nowadays because of its scalability with sublinear computational complexity for training and inference.
no code implementations • 20 Apr 2023 • Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu
Then, a novel multi-view prompt fusion module is developed to effectively fuse information from different views to bridge the gap between 3D point cloud data and 2D pre-trained models.
no code implementations • 18 Apr 2023 • Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He
The role of personality in our approach is twofold: (1) To estimate individual users' importance in a group and provide explainability; (2) to alleviate the data sparsity issue that occurred in ephemeral groups.
no code implementations • 11 Apr 2023 • Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie zhou
To address this issue, we present a novel framework, termed triple sequence learning for cross-domain recommendation (Tri-CDR), which jointly models the source, target, and mixed behavior sequences to highlight the global and target preference and precisely model the triple correlation in CDR.
no code implementations • 11 Apr 2023 • Xin Chen, Yuwen Qin, Weidong Zhao, Qiming Yang, Ningbo Cai, Kai Wu
Accurate state-of-health (SOH) estimation is critical to guarantee the safety, efficiency and reliability of battery-powered applications.
no code implementations • CVPR 2023 • Mingze Yuan, Yingda Xia, Hexin Dong, ZiFan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
Real-world medical image segmentation has tremendous long-tailed complexity of objects, among which tail conditions correlate with relatively rare diseases and are clinically significant.
1 code implementation • 31 Mar 2023 • YiXuan Wang, Weichao Zhou, Jiameng Fan, Zhilu Wang, Jiajun Li, Xin Chen, Chao Huang, Wenchao Li, Qi Zhu
We also present a novel approach to propagate TMs more efficiently and precisely across ReLU activation functions.
1 code implementation • CVPR 2023 • Jiawen Zhu, Simiao Lai, Xin Chen, Dong Wang, Huchuan Lu
To inherit the powerful representations of the foundation model, a natural modus operandi for multi-modal tracking is full fine-tuning on the RGB-based parameters.
no code implementations • 13 Mar 2023 • Zijian Feng, Xin Chen, Zijian Lv, Peiyuan Sun, Kai Wu
In particular, the highest accuracy reaches 99. 68\% in evaluation, which demonstrates a good knowledge transfer ability of the proposed model for power grid topology change.
no code implementations • CVPR 2023 • Yimeng Zhang, Xin Chen, Jinghan Jia, Sijia Liu, Ke Ding
In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of moments described by a text sentence within a long untrimmed video.
1 code implementation • 24 Feb 2023 • Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han
In this paper, we propose a universal and lightweight federated learning framework, named Federated Deep-Broad Learning (FedDBL), to achieve superior classification performance with limited training samples and only one-round communication.
1 code implementation • 7 Feb 2023 • Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai
Most previous studies neglect user's conformity and entangle interest with it, which may cause the recommender systems fail to provide satisfying results.
no code implementations • 2 Feb 2023 • Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun
This paper proposes a dual view of overparametrization suggesting that downsampling may also help generalize.
no code implementations • 28 Jan 2023 • Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang
A certain number of AI models need to be assembled non-trivially to match the diagnostic process of a human reading a CT scan.
no code implementations • 23 Jan 2023 • Siyuan Liang, Long Huo, Xin Chen, Peiyuan Sun
Wide-area damping control for inter-area oscillation (IAO) is critical to modern power systems.
no code implementations • ICCV 2023 • Chongshan Lu, Fukun Yin, Xin Chen, Tao Chen, Gang Yu, Jiayuan Fan
Meanwhile, a new benchmark for several outdoor NeRF-based tasks is established, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.
1 code implementation • CVPR 2023 • Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, Gang Yu
Compared with prior arts, our framework has several appealing advantages: 1) Without resorting to numerous hand-crafted components, our method is based on a full transformer encoder-decoder architecture with a learnable vote query driven object decoder, and a caption decoder that produces the dense captions in a set-prediction manner.
no code implementations • ICCV 2023 • Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang
Human readers or radiologists routinely perform full-body multi-organ multi-disease detection and diagnosis in clinical practice, while most medical AI systems are built to focus on single organs with a narrow list of a few diseases.
no code implementations • ICCV 2023 • Xin Chen, Bin Wang, Yongsheng Gao
Fine-grained leaf image retrieval (FGLIR) aims to search similar leaf images in subspecies level which involves very high interclass visual similarity and accordingly poses great challenges to leaf image description.
1 code implementation • CVPR 2023 • Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or textual descriptors.
Ranked #1 on
Motion Synthesis
on KIT Motion-Language
no code implementations • 21 Nov 2022 • Jiaru Jia, Mingzhe Liu, Jiake Xie, Xin Chen, Aiqing Yang, Xin Jiang, Hong Zhang, Yong Tang
Semantic segmentation models based on the conventional neural network can achieve remarkable performance in such tasks, while the dataset is crucial to the training model process.
no code implementations • 11 Nov 2022 • Yong Hong, Deren Li, Shupei Luo, Xin Chen, Yi Yang, Mi Wang
This study proposes an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-scale scenes based on the self-attentive mechanism of the transformer's encoder-decoder structure.
2 code implementations • 3 Nov 2022 • Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, Qi Tian
In this paper, we present Pangu-Weather, a deep learning based system for fast and accurate global weather forecast.
1 code implementation • 31 Oct 2022 • Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin
Heterogeneous graph neural network has unleashed great potential on graph representation learning and shown superior performance on downstream tasks such as node classification and clustering.
no code implementations • 29 Oct 2022 • Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian
We comprehensively compared 2D and 3D radiomic features' representation and discrimination capacity regarding GC, via three tasks.
no code implementations • 27 Oct 2022 • Xin Chen, Zhuo Su, Lingbo Yang, Pei Cheng, Lan Xu, Bin Fu, Gang Yu
To improve the generalization capacity of prior space, we propose a transformer-based variational autoencoder pretrained over marker-based 3D mocap data, with a novel style-mapping block to boost the generation quality.
no code implementations • 24 Oct 2022 • Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen
Explainability plays an increasingly important role in machine learning.
no code implementations • 20 Oct 2022 • Ningbo Cai, Yuwen Qin, Xin Chen, Kai Wu
A state-coupled co-estimation method named Deep Inter and Intra-Cycle Attention Network (DIICAN) is proposed in this paper to estimate SOC, SOH, and RUL, which organizes battery measurement data into the intra-cycle and inter-cycle time scales.
1 code implementation • 14 Oct 2022 • Ruizhe Li, Xin Chen
The final trained model was also evaluated on an independent test set by the CMRxMotion organisers, which achieved the classification accuracy of 72. 5% and Cohen's Kappa of 0. 6309 (ranked top 1 in this grand challenge).
no code implementations • 13 Oct 2022 • Zhendi Gong, Andrew P. French, Guoping Qiu, Xin Chen
We compared our method with many other state-of-the-art hybrid CNN and Transformer segmentation models on binary and multiple class image segmentation tasks using several public medical image datasets, including skin lesion, polyp, cell and brain tissue.
no code implementations • 13 Oct 2022 • Yubao Zhang, Xin Chen, Yuchen Zhang
Due to the increasing popularity of electric vehicles (EVs) and the technological advancement of EV electronics, the vehicle-to-grid (V2G) technique and large-scale scheduling algorithms have been developed to achieve a high level of renewable energy and power grid stability.
no code implementations • 27 Jul 2022 • Xin Chen, Ke Ding
Recent advances of semantic image segmentation greatly benefit from deeper and larger Convolutional Neural Network (CNN) models.
1 code implementation • 12 Jul 2022 • Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
The success of deep learning is usually accompanied by the growth in neural network depth.
no code implementations • 10 Jul 2022 • Jiawen Zhu, Xin Chen, Pengyu Zhang, Xinying Wang, Dong Wang, Wenda Zhao, Huchuan Lu
Trackers tend to lose the target object due to the limited search region or be interfered with by distractors due to the excessive search region.
1 code implementation • 6 Jul 2022 • Xin Chen, Alex Reibman, Sanjay Arora
Timeliness and contextual accuracy of recommendations are increasingly important when delivering contemporary digital marketing experiences.
no code implementations • 7 Jun 2022 • Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
Spatial-temporal data contains rich information and has been widely studied in recent years due to the rapid development of relevant applications in many fields.
1 code implementation • 2 Jun 2022 • Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen
By combining the structural reparameterization and PaS, we successfully searched out a new family of VGG-like and lightweight networks, which enable the flexibility of arbitrary width with respect to each layer instead of each stage.
no code implementations • 25 May 2022 • Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
In this paper, we propose Region-aware Knowledge Distillation ReKo to compress image-to-image translation models.
2 code implementations • 16 May 2022 • Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
We propose a modular framework for constructing representation learning algorithms, then use our framework to evaluate the utility of representation learning for imitation across several environment suites.
no code implementations • 5 May 2022 • Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei
In Meituan, one of the largest e-commerce platform in China, an item is typically displayed with its image and whether a user clicks the item or not is usually influenced by its image, which implies that user's image behaviors are helpful for understanding user's visual preference and improving the accuracy of CTR prediction.
no code implementations • 13 Apr 2022 • Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu
According to the technical reports of the top-tier teams, CAM is still the most popular approach in WSSS.
Data Augmentation
Weakly supervised Semantic Segmentation
+1
1 code implementation • CVPR 2022 • Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang
It is able to find top 0. 16\% and 0. 29\% architectures on average on two search spaces under the budget of only 50 models.
1 code implementation • 25 Mar 2022 • Xin Chen, Ben Kang, Dong Wang, Dongdong Li, Huchuan Lu
Most state-of-the-art trackers are satisfied with the real-time speed on powerful GPUs.
1 code implementation • 25 Mar 2022 • Xin Chen, Bin Yan, Jiawen Zhu, Huchuan Lu, Xiang Ruan, Dong Wang
First, we present a transformer tracking (named TransT) method based on the Siamese-like feature extraction backbone, the designed attention-based fusion mechanism, and the classification and regression head.
1 code implementation • 20 Mar 2022 • Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
We argue that MBR models should: (1) model the coarse-grained commonalities between different behaviors of a user, (2) consider both individual sequence view and global graph view in multi-behavior modeling, and (3) capture the fine-grained differences between multiple behaviors of a user.
no code implementations • 13 Mar 2022 • Jiaxin Wu, Xin Chen, Sobhan Badakhshan, Jie Zhang, Pingfeng Wang
Establishing cleaner energy generation therefore improving the sustainability of the power system is a crucial task in this century, and one of the key strategies being pursued is to shift the dependence on fossil fuel to renewable technologies such as wind, solar, and nuclear.
no code implementations • CVPR 2022 • Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
Instead of directly distilling the generated images of teachers, wavelet knowledge distillation first decomposes the images into different frequency bands with discrete wavelet transformation and then only distills the high frequency bands.
no code implementations • 28 Feb 2022 • Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu
In this paper, we formulated stain normalization as a digital re-staining process and proposed a self-supervised learning model, which is called RestainNet.
no code implementations • 21 Feb 2022 • Yuwen Qin, Ningbo Cai, Chen Gao, Yadong Zhang, Yonghong Cheng, Xin Chen
The degradation-related features extracted from the sensor streaming data with neural networks can dramatically improve the accuracy of the RUL prediction.
no code implementations • 16 Feb 2022 • Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King
In each non-output layer of the GCN, this framework uses a hub attention mechanism to assign new weights to connected non-hub vertices based on their common information with hub vertices.
no code implementations • 14 Feb 2022 • Yadong Zhang, Chenye Zou, Xin Chen
The battery capacity in different cycles can be measured with the temporal patterns extracted from the streaming sensor data based on the attention mechanism.
no code implementations • 23 Jan 2022 • Peiyuan Sun, Long Huo, Siyuan Liang, Xin Chen
Transient stability prediction is critically essential to the fast online assessment and maintaining the stable operation in power systems.
no code implementations • 20 Jan 2022 • Rong Liang, Tiehua Zhang, Yujie Lu, Yuze Liu, Zhen Huang, Xin Chen
Specifically, we collect a sheer number of source codes (both Java and Python) from the Alipay code repository and incorporate both syntactic and semantic code knowledge into our model through the help of code parsers, in which AST information of the source codes can be interpreted and integrated.
no code implementations • IEEE 2022 • Yijie Wang, Xin Chen, Ying Chen, Shougang Du
In recent years, driven by the commercialization of the 6th Generation Communication Technology (6G), an increasing number of 6G devices connected to mobile networks produces computation-intensive tasks such as ultra-high-resolution video streaming, inter-active visual reality (VR) gaming, augmented reality (AR).
no code implementations • 29 Dec 2021 • Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng
Graph representation learning has drawn increasing attention in recent years, especially for learning the low dimensional embedding at both node and graph level for classification and recommendations tasks.
no code implementations • 23 Dec 2021 • Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang
Prostate Imaging Reporting and Data System (PI-RADS) based on multi-parametric MRI classi\^ees patients into 5 categories (PI-RADS 1-5) for routine clinical diagnosis guidance.
no code implementations • NeurIPS 2021 • Yifan Hu, Xin Chen, Niao He
We consider stochastic optimization when one only has access to biased stochastic oracles of the objective, and obtaining stochastic gradients with low biases comes at high costs.
1 code implementation • 14 Oct 2021 • Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu
In the segmentation phase, we achieved tissue semantic segmentation by our proposed Multi-Layer Pseudo-Supervision.
Weakly supervised Semantic Segmentation
Weakly-Supervised Semantic Segmentation
+1
no code implementations • 5 Oct 2021 • Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen
Deterministic models, such as ray tracing based on physical laws of wave propagation, are more accurate and site specific.
no code implementations • 10 Sep 2021 • Yanjun Gao, Lulu Liu, Jason Wang, Xin Chen, Huayan Wang, Rui Zhang
Given a query and an untrimmed video, the temporal grounding model predicts the target interval, and the predicted video clip is fed into a video translation task by generating a simplified version of the input query.
no code implementations • 7 Sep 2021 • Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Yanfeng Wang, Ya zhang, Xin Chen, Qi Tian
In this paper, we target self-supervised representation learning for zero-shot tumor segmentation.
no code implementations • 3 Sep 2021 • Xin Chen, Qi Zhao, Xinyang Liu
And the result shows that the performance of NER will be improved if the word specificity is incorporated into existing NER methods.
1 code implementation • Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) 2021 • Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yizhi Liu, Flora D Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang
Researchers have explored advanced methods from computer vision and natural language processing to incorporate medical domain knowledge for the generation of readable medical reports.
1 code implementation • 3 Aug 2021 • Ruizhe Li, Matteo Bastiani, Dorothee Auer, Christian Wagner, Xin Chen
The proposed method was evaluated on a public brain MRI data set for age estimation.
no code implementations • 1 Aug 2021 • Guoxing Sun, Xin Chen, Yizhang Chen, Anqi Pang, Pei Lin, Yuheng Jiang, Lan Xu, Jingya Wang, Jingyi Yu
In this paper, we propose a neural human performance capture and rendering system to generate both high-quality geometry and photo-realistic texture of both human and objects under challenging interaction scenarios in arbitrary novel views, from only sparse RGB streams.
no code implementations • 27 Jul 2021 • Daping Zhang, Xin Chen, Yujia Zhang, Shihan Qin
Agriculture is the fundamental industry of the society, which is the basis of food supply and an important source of employment and GDP increase.
no code implementations • 14 Jul 2021 • Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu
To fill this gap, in this paper we propose a few-shot neural human rendering approach (FNHR) from only sparse RGBD inputs, which exploits the temporal and spatial redundancy to generate photo-realistic free-view output of human activities.
2 code implementations • 25 Jun 2021 • Chao Huang, Jiameng Fan, Zhilu Wang, YiXuan Wang, Weichao Zhou, Jiajun Li, Xin Chen, Wenchao Li, Qi Zhu
We present POLAR, a polynomial arithmetic-based framework for efficient bounded-time reachability analysis of neural-network controlled systems (NNCSs).
no code implementations • 11 Jun 2021 • Sinan Onal, Xin Chen, Madagedara Maduka Balasooriya
Thus, our method offers robust automatic image segmentation that is simpler to use and less time-consuming than traditional snake models
2 code implementations • CVPR 2021 • Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
While existing NAS methods mostly design architectures on a single task, algorithms that look beyond single-task search are surging to pursue a more efficient and universal solution across various tasks.
1 code implementation • 23 Apr 2021 • Xin Chen, Anqi Pang, Wei Yang, Yuexin Ma, Lan Xu, Jingyi Yu
In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
1 code implementation • CVPR 2021 • Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu
The correlation operation is a simple fusion manner to consider the similarity between the template and the search region.
Ranked #5 on
Visual Tracking
on TNL2K
2 code implementations • CVPR 2021 • Yannan He, Anqi Pang, Xin Chen, Han Liang, Minye Wu, Yuexin Ma, Lan Xu
We propose a hybrid motion inference stage with a generation network, which utilizes a temporal encoder-decoder to extract the motion details from the pair-wise sparse-view reference, as well as a motion discriminator to utilize the unpaired marker-based references to extract specific challenging motion characteristics in a data-driven manner.
no code implementations • 29 Jan 2021 • Xin Chen, Panki Kim, Jian Wang
In this paper, we consider symmetric $\alpha$-stable processes on (unbounded) horn-shaped regions which are non-uniformly $C^{1, 1}$ near infinity.
Probability
no code implementations • 27 Jan 2021 • Xin Chen, Guannan Qu, Yujie Tang, Steven Low, Na Li
With large-scale integration of renewable generation and distributed energy resources, modern power systems are confronted with new operational challenges, such as growing complexity, increasing uncertainty, and aggravating volatility.
no code implementations • 14 Jan 2021 • Xin Chen, Anderson Y. Zhang
We study the clustering task under anisotropic Gaussian Mixture Models where the covariance matrices from different clusters are unknown and are not necessarily the identical matrix.
no code implementations • ICCV 2021 • Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei zhang, Zhenguo Li, Luc van Gool
Here we present a novel self-supervised 3D Object detection framework that seamlessly integrates the geometry-aware contrast and clustering harmonization to lift the unsupervised 3D representation learning, named GCC-3D.
2 code implementations • 1 Jan 2021 • Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
While existing NAS methods mostly design architectures on one single task, algorithms that look beyond single-task search are surging to pursue a more efficient and universal solution across various tasks.
2 code implementations • 9 Dec 2020 • Yadong Zhang, Xin Chen
Considering the quasi-periodic characteristics of ECG signals, the dynamic features can be extracted from the TMF images with the transfer learning pre-trained convolutional neural network (CNN) models.
1 code implementation • 3 Dec 2020 • Yanmin Wu, Yunzhou Zhang, Delong Zhu, Xin Chen, Sonya Coleman, Wenkai Sun, Xinggang Hu, Zhiqiang Deng
The framework is built on an object SLAM system integrated with a simultaneous multi-object pose estimation process that is optimized for robotic grasping.
1 code implementation • NeurIPS 2020 • Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang
Graph Neural Networks (GNNs) have achieved remarkable performance in the task of the semi-supervised node classification.
no code implementations • NeurIPS 2020 • Yifan Hu, Siqi Zhang, Xin Chen, Niao He
Conditional stochastic optimization covers a variety of applications ranging from invariant learning and causal inference to meta-learning.
no code implementations • 25 Nov 2020 • Qinyan Huang, Weiwen Zhou, Minjie Wan, Xin Chen, Qian Chen, Guohua Gu
Active contour model (ACM) is one of the most widely used image segmentation tools at present, but the existing methods only utilize the local or global single feature information of image to minimize the energy function, which is easy to cause false segmentations in IR images.
1 code implementation • 25 Nov 2020 • Anzhu Yu, Wenyue Guo, Bing Liu, Xin Chen, Xin Wang, Xuefeng Cao, Bingchuan Jiang
This strategy estimates the depth map at coarsest level, while the depth maps at finer levels are considered as the upsampled depth map from previous level with pixel-wise depth residual.
1 code implementation • 22 Oct 2020 • Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu
Drug-drug interaction(DDI) prediction is an important task in the medical health machine learning community.
1 code implementation • ACM International Conference on Information and Knowledge Management 2020 • Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin
User profiling is one of the most important components in recommendation systems, where a user is profiled using demographic (e. g. gender, age, and location) and user behavior information (e. g. browsing and search history).
no code implementations • 11 Oct 2020 • Xin Chen, YingYing Li, Jun Shimada, Na Li
This paper studies the automated control method for regulating air conditioner (AC) loads in incentive-based residential demand response (DR).
no code implementations • IEEE 2020 • Ying Chen, Zhiyong Liu, Yongchao Zhang, Yuan Wu, Xin Chen, Lian Zhao
In order to minimize the long-term average delay of the tasks, theoriginal problem is transformed into a Markov decision process (MDP).
no code implementations • 4 Aug 2020 • Lingxi Xie, Xin Chen, Kaifeng Bi, Longhui Wei, Yuhui Xu, Zhengsu Chen, Lanfei Wang, An Xiao, Jianlong Chang, Xiaopeng Zhang, Qi Tian
Neural architecture search (NAS) has attracted increasing attentions in both academia and industry.
no code implementations • 2 Aug 2020 • Yu-Jun Zheng, Xin Chen, Tie-Er Gan, Min-Xia Zhang, Wei-Guo Sheng, Ling Wang
In this paper, we present an approach that first transforms the original high-dimensional, constrained multiobjective optimization problem to a low-dimensional, unconstrained multiobjective optimization problem, and then evaluates each solution to the transformed problem by solving a set of simple single-objective optimization subproblems, such that the problem can be efficiently solved by existing evolutionary multiobjective algorithms.
no code implementations • ECCV 2020 • Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li
In spite of its remarkable progress, many algorithms are restricted to particular search spaces.
Ranked #12 on
Neural Architecture Search
on NAS-Bench-201, ImageNet-16-120
(Accuracy (Val) metric)
1 code implementation • 7 Jul 2020 • Kaifeng Bi, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian
There has been a large literature of neural architecture search, but most existing work made use of heuristic rules that largely constrained the search flexibility.
1 code implementation • Methods 2020 • Xin Chen, Xien Liu, Ji Wu
To alleviate this problem, we investigate the utilization of the end-to-end graph representation learning for the DDI prediction task.
1 code implementation • 27 May 2020 • Xin Chen, Yuwei Li, Xi Luo, Tianjia Shao, Jingyi Yu, Kun Zhou, Youyi Zheng
We base our work on the assumption that most human-made objects are constituted by parts and these parts can be well represented by generalized primitives.
3 code implementations • International Symposium on Intelligence Computation and Applications 2020 • Jie Chen, Gang Liu, Xin Chen
The existing methods usually have some problems, among which significant problems mainly include: 1) the generated images have no obvious animated style textures; 2) the generated images lose the content of the original images; 3) the parameters of the network require the large memory capacity.
no code implementations • 20 May 2020 • Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
This paper presents a novel meta learning framework for feature selection (FS) based on fuzzy similarity.
no code implementations • 11 May 2020 • Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
The optimized framework was also compared with other six classical filter-based feature selection methods.
no code implementations • 11 May 2020 • Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets.
no code implementations • 7 May 2020 • Xin Chen, Na Li
This method is applicable to aggregate only the active (or reactive) power, and the joint active-reactive power domain.
1 code implementation • 28 Apr 2020 • Mina Jafari, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen
In comparison with ResNet-based, DenseNet-based and attention network (AttnNet) based methods within the same encoder-decoder network structure, our method achieves significantly higher segmentation accuracy with fewer number of model parameters than DenseNet and AttnNet.
1 code implementation • 28 Apr 2020 • Mina Jafari, Ruizhe Li, Yue Xing, Dorothee Auer, Susan Francis, Jonathan Garibaldi, Xin Chen
In this paper, we present a generic deep convolutional neural network (DCNN) for multi-class image segmentation.
1 code implementation • 20 Apr 2020 • Ning Zhang, Susan Francis, Rayaz Malik, Xin Chen
Most state-of-the-art deep learning methods require a large number of accurately annotated examples for model training.
no code implementations • 17 Apr 2020 • Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian
We alleviate this issue by training a graph convolutional network to fit the performance of sampled sub-networks so that the impact of random errors becomes minimal.
1 code implementation • 16 Apr 2020 • Ruizhe Li, Dorothee Auer, Christian Wagner, Xin Chen
To address this problem, we propose a generic semi-supervised learning framework for image segmentation based on a deep convolutional neural network (DCNN).
no code implementations • 26 Mar 2020 • Yadong Zhang, Xin Chen
Inspired by the well-known permutation entropy (PE), an effective image encoding scheme for chaotic time series, Triad State Space Construction (TSSC), is proposed.
1 code implementation • ECCV 2020 • Longhui Wei, An Xiao, Lingxi Xie, Xin Chen, Xiaopeng Zhang, Qi Tian
AutoAugment has been a powerful algorithm that improves the accuracy of many vision tasks, yet it is sensitive to the operator space as well as hyper-parameters, and an improper setting may degenerate network optimization.
Ranked #172 on
Image Classification
on ImageNet
no code implementations • 7 Mar 2020 • Xin Chen, Yutong Nie, Na Li
Residential loads have great potential to enhance the efficiency and reliability of electricity systems via demand response (DR) programs.
no code implementations • 25 Feb 2020 • Yifan Hu, Siqi Zhang, Xin Chen, Niao He
Conditional Stochastic Optimization (CSO) covers a variety of applications ranging from meta-learning and causal inference to invariant learning.
no code implementations • 21 Jan 2020 • Yadong Zhang, Xin Chen
Inspired by the convolutional neural network (CNN) classifier based on the image representations of time series, motif difference field (MDF) is proposed.
1 code implementation • 17 Jan 2020 • Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Bowen Shi, Qi Tian, Hongkai Xiong
However, these methods suffer the difficulty in optimizing network, so that the searched network is often unfriendly to hardware.
2 code implementations • 23 Dec 2019 • Xin Chen, Lingxi Xie, Jun Wu, Qi Tian
With the rapid development of neural architecture search (NAS), researchers found powerful network architectures for a wide range of vision tasks.
no code implementations • 13 Dec 2019 • Runxiong Wu, Xin Chen
Sufficient dimension reduction (SDR) using distance covariance (DCOV) was recently proposed as an approach to dimension-reduction problems.
1 code implementation • 25 Oct 2019 • Kaifeng Bi, Changping Hu, Lingxi Xie, Xin Chen, Longhui Wei, Qi Tian
Our approach bridges the gap from two aspects, namely, amending the estimation on the architectural gradients, and unifying the hyper-parameter settings in the search and re-training stages.
no code implementations • 25 Oct 2019 • Zhenming Xu, Xin Chen, Ronghan Chen, Xin Li, Hong Zhu
In this work, the face-centered cubic (fcc) anion frameworks were creatively constructed to study the effects of anion charge and lattice volume on the stability of lithium ion occupation and lithium ion migration.
Applied Physics
no code implementations • 25 Sep 2019 • Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, Guoping Qiu
The extensive experiments and ablation study demonstrate the effectiveness of our approach on the domain adaptive segmentation task.
no code implementations • 19 Sep 2019 • Zhuoxun He, Lingxi Xie, Xin Chen, Ya zhang, Yan-Feng Wang, Qi Tian
Data augmentation has been widely applied as an effective methodology to improve generalization in particular when training deep neural networks.
7 code implementations • ICLR 2020 • Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong
Differentiable architecture search (DARTS) provided a fast solution in finding effective network architectures, but suffered from large memory and computing overheads in jointly training a super-network and searching for an optimal architecture.
Ranked #20 on
Neural Architecture Search
on CIFAR-10
1 code implementation • NeurIPS 2019 • Ying-Ying Li, Xin Chen, Na Li
In addition, we provide a fundamental limit of the dynamic regret for any online algorithms by considering linear quadratic tracking problems.
Optimization and Control
1 code implementation • 25 Jun 2019 • Chao Huang, Jiameng Fan, Wenchao Li, Xin Chen, Qi Zhu
In this work, we propose a new reachability analysis approach based on Bernstein polynomials that can verify neural-network controlled systems with a more general form of activation functions, i. e., as long as they ensure that the neural networks are Lipschitz continuous.
no code implementations • 28 May 2019 • Yifan Hu, Xin Chen, Niao He
In this paper, we study a class of stochastic optimization problems, referred to as the \emph{Conditional Stochastic Optimization} (CSO), in the form of $\min_{x \in \mathcal{X}} \EE_{\xi}f_\xi\Big({\EE_{\eta|\xi}[g_\eta(x,\xi)]}\Big)$, which finds a wide spectrum of applications including portfolio selection, reinforcement learning, robust learning, causal inference and so on.
4 code implementations • ICCV 2019 • Xin Chen, Lingxi Xie, Jun Wu, Qi Tian
Recently, differentiable search methods have made major progress in reducing the computational costs of neural architecture search.
no code implementations • 5 Apr 2019 • Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg
To this end, we make use of attention modules that learn to highlight regions in the video and aggregate features for recognition.
Ranked #36 on
Action Recognition
on UCF101
1 code implementation • 4 Apr 2019 • Xin Chen, Anqi Pang, Yang Wei, Lan Xui, Jingyi Yu
In this paper, we present TightCap, a data-driven scheme to capture both the human shape and dressed garments accurately with only a single 3D human scan, which enables numerous applications such as virtual try-on, biometrics and body evaluation.
no code implementations • 11 Mar 2019 • Xin Chen, Wei Chu, Jinxi Guo, Ning Xu
F0 and aperiodic are obtained through the original singing voice, and used with acoustic features to reconstruct the target singing voice through a vocoder.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
no code implementations • 18 Dec 2018 • Yichao Zhou, Wei Chu, Sam Young, Xin Chen
In the learning stage, a sequence of stylistically uniform, multiple-channel music samples was modeled by a RNN.
no code implementations • 2 Dec 2018 • Eman T. Hassan, Xin Chen, David Crandall
The results suggest that selfensembling is better than simple data augmentation with the newly generated data and a single model trained this way can have the best performance across all different transfer tasks.
no code implementations • 26 Nov 2018 • Mengting Wan, Xin Chen
We study the problem of providing recommended responses to customer service agents in live-chat dialogue systems.
no code implementations • 6 Sep 2018 • Chuhan Min, Aosen Wang, Yiran Chen, Wenyao Xu, Xin Chen
To overcome this challenge, we propose a novel filter-pruning framework, two-phase filter pruning based on conditional entropy, namely \textit{2PFPCE}, to compress the CNN models and reduce the inference time with marginal performance degradation.
no code implementations • 18 Feb 2018 • Yongxi Tan, Jin Yang, Xin Chen, Qitao Song, Yunjun Chen, Zhangxiang Ye, Zhenqiang Su
Mobile network that millions of people use every day is one of the most complex systems in the world.
no code implementations • 7 Feb 2018 • Xin Chen, Hua Zhou, Yuxiang Gao, Yu Zhu
Therefore, MiMatrix intrinsically solves the bandwidth bottleneck of central node in parameter server framework that is widely used in distributed DL tasks.