no code implementations • IEEE International Conference on Computer Vision 2011 • Xiangyang Xue, Wei zhang, Jie Zhang, Bin Wu, Jianping Fan, Yao Lu
The cross-level label coherence en-codes the consistency between the labels at the image leveland the labels at the region level.
2 code implementations • 25 Aug 2012 • Wei Zhang, Xiaogang Wang, Deli Zhao, Xiaoou Tang
We explore the different roles of two fundamental concepts in graph theory, indegree and outdegree, in the context of clustering.
Ranked #1 on Image Clustering on Coil-20 (Accuracy metric)
no code implementations • 20 Mar 2014 • Wei Zhang, Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, Rui Kuang
Based on our observation that the abundances of the neighboring isoforms by domain-domain interactions in the network are positively correlated, Net-RSTQ models the expression of the neighboring transcripts as Dirichlet priors on the likelihood of the observed read alignments against the transcripts in one gene.
no code implementations • SIGIR 2014 • Peichao Zhang, Wei zhang, Wu-Jun Li, and Minyi Guo
Very recently, supervised hashing methods, which try to preserve the semantic structure constructed from the semantic labels of the training points, have exhibited higher accuracy than unsupervised methods.
no code implementations • 1 Aug 2014 • Jiankou Li, Wei zhang
Restricted Boltzman Machines (RBMs) have been successfully used in recommender systems.
no code implementations • CVPR 2015 • Wei Zhang, Sheng Zeng, Dequan Wang, xiangyang xue
Image semantic segmentation is the task of partitioning image into several regions based on semantic concepts.
no code implementations • 19 Aug 2015 • Wei Zhang, Yang Yu, Osho Gupta, Judith Gelernter
We collected and annotated data set by querying commercial web searches API with such spatiotemporal expressions as were missed by state-of-the- art parsers.
no code implementations • 19 Aug 2015 • Wei Zhang, Judith Gelernter
A metonym is a word with a figurative meaning, similar to a metaphor.
1 code implementation • 14 Sep 2015 • Suyog Gupta, Wei zhang, Fei Wang
This paper presents Rudra, a parameter server based distributed computing framework tuned for training large-scale deep neural networks.
no code implementations • 14 Oct 2015 • Wei Zhang, Yang Yu, Bo-Wen Zhou
Neural Turing Machines (NTM) contain memory component that simulates "working memory" in the brain to store and retrieve information to ease simple algorithms learning.
no code implementations • 26 Oct 2015 • Yang Yu, Wei zhang, Chung-Wei Hang, Bing Xiang, Bo-Wen Zhou
In this paper we explore deep learning models with memory component or attention mechanism for question answering task.
1 code implementation • 18 Nov 2015 • Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu
Deep neural networks have been shown to achieve state-of-the-art performance in several machine learning tasks.
no code implementations • ICCV 2015 • Kan Liu, Bingpeng Ma, Wei zhang, Rui Huang
Pedestrian re-identification is a difficult problem due to the large variations in a person's appearance caused by different poses and viewpoints, illumination changes, and occlusions.
no code implementations • ICCV 2015 • Dequan Wang, Zhiqiang Shen, Jie Shao, Wei zhang, xiangyang xue, Zheng Zhang
Fine-grained categorization, which aims to distinguish subordinate-level categories such as bird species or dog breeds, is an extremely challenging task.
1 code implementation • 22 Jun 2016 • Xingyi Zhou, Qingfu Wan, Wei zhang, xiangyang xue, Yichen Wei
For the first time, we show that embedding such a non-linear generative process in deep learning is feasible for hand pose estimation.
no code implementations • 14 Sep 2016 • Lei Han, Juanzhen Sun, Wei zhang, Yuanyuan Xiu, Hailei Feng, Yinjing Lin
Despite marked progress over the past several decades, convective storm nowcasting remains a challenge because most nowcasting systems are based on linear extrapolation of radar reflectivity without much consideration for other meteorological fields.
no code implementations • 17 Sep 2016 • Xingyi Zhou, Xiao Sun, Wei zhang, Shuang Liang, Yichen Wei
In this work, we propose to directly embed a kinematic object model into the deep neutral network learning for general articulated object pose estimation.
Ranked #307 on 3D Human Pose Estimation on Human3.6M
no code implementations • 28 Oct 2016 • Danis J. Wilson, Wei zhang
In this work, we consider the problem of hotel recommendation for travel planning services by integrating the location information and the user's preference for recommendation.
no code implementations • 31 Oct 2016 • Yang Yu, Wei zhang, Kazi Hasan, Mo Yu, Bing Xiang, Bo-Wen Zhou
This paper proposes dynamic chunk reader (DCR), an end-to-end neural reading comprehension (RC) model that is able to extract and rank a set of answer candidates from a given document to answer questions.
Ranked #49 on Question Answering on SQuAD1.1 dev
no code implementations • 18 Nov 2016 • Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bo-Wen Zhou, Fei Wang
By evaluating the NLC workloads, we show that only the conservative hyper-parameter setup (e. g., small mini-batch size and small learning rate) can guarantee acceptable model accuracy for a wide range of customers.
no code implementations • 12 Dec 2016 • Dongkuan Xu, Jia Wu, Wei zhang, Yingjie Tian
To the end, we propose a positive instance detection via graph updating for multiple instance learning, called PIGMIL, to detect TPI accurately.
no code implementations • 15 Feb 2017 • Wei Zhang, Lei Han, Juanzhen Sun, Hanyang Guo, Jie Dai
This paper describes the first attempt to nowcast storm initiation, growth, and advection simultaneously under a deep learning framework using multi-source meteorological data.
no code implementations • 21 Feb 2017 • Wei Zhang, Shengnan Hu, Kan Liu, Zheng-Jun Zha
This paper presents a novel approach for video-based person re-identification using multiple Convolutional Neural Networks (CNNs).
1 code implementation • 26 Feb 2017 • Wei zhang
By Birkhoff's ergodic theorem, one approach to estimate the mean value is to compute the time average along an infinitely long trajectory of an ergodic diffusion process on the level set whose invariant measure is {\mu}.
Probability 60J60, 53C17
no code implementations • 28 Feb 2017 • Raphael Petegrosso, Wei zhang, Zhuliu Li, Yousef Saad, Rui Kuang
The success of semi-supervised learning crucially relies on the scalability to a huge amount of unlabelled data that are needed to capture the underlying manifold structure for better classification.
3 code implementations • NeurIPS 2017 • Xiangru Lian, Ce Zhang, huan zhang, Cho-Jui Hsieh, Wei zhang, Ji Liu
On network configurations with low bandwidth or high latency, D-PSGD can be up to one order of magnitude faster than its well-optimized centralized counterparts.
no code implementations • 24 Jun 2017 • Tianyi Zhao, Jun Yu, Zhenzhong Kuang, Wei zhang, Jianping Fan
In this paper, a deep mixture of diverse experts algorithm is developed for seamlessly combining a set of base deep CNNs (convolutional neural networks) with diverse outputs (task spaces), e. g., such base deep CNNs are trained to recognize different subsets of tens of thousands of atomic object classes.
no code implementations • CVPR 2017 • Wei Zhang, Xiaochun Cao, Rui Wang, Yuanfang Guo, Zhineng Chen
Second, we further extend bMS to a more general form, namely contrastive binary mean shift (cbMS), which maximizes the contrastive density in binary space, for finding informative patterns that are both frequent and discriminative for the dataset.
no code implementations • 8 Jul 2017 • Tianyi Zhao, Baopeng Zhang, Wei zhang, Ning Zhou, Jun Yu, Jianping Fan
Our LMM model can provide an end-to-end approach for jointly learning: (a) the deep networks to extract more discriminative deep features for image and object class representation; (b) the tree classifier for recognizing large numbers of object classes hierarchically; and (c) the visual hierarchy adaptation for achieving more accurate indexing of large numbers of object classes hierarchically.
1 code implementation • 31 Aug 2017 • Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei zhang, Shiyu Chang, Gerald Tesauro, Bo-Wen Zhou, Jing Jiang
Second, we propose a novel method that jointly trains the Ranker along with an answer-generation Reader model, based on reinforcement learning.
Ranked #4 on Open-Domain Question Answering on Quasar
no code implementations • 19 Sep 2017 • Wei Zhang, Bo-Wen Zhou
Learning to remember long sequences remains a challenging task for recurrent neural networks.
3 code implementations • ICML 2018 • Xiangru Lian, Wei zhang, Ce Zhang, Ji Liu
Can we design an algorithm that is robust in a heterogeneous environment, while being communication efficient and maintaining the best-possible convergence rate?
1 code implementation • ICLR 2018 • Shuohang Wang, Mo Yu, Jing Jiang, Wei zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
We propose two methods, namely, strength-based re-ranking and coverage-based re-ranking, to make use of the aggregated evidence from different passages to better determine the answer.
Ranked #1 on Open-Domain Question Answering on Quasar
1 code implementation • 18 Nov 2017 • Pan Lu, Hongsheng Li, Wei zhang, Jianyong Wang, Xiaogang Wang
Existing VQA methods mainly adopt the visual attention mechanism to associate the input question with corresponding image regions for effective question answering.
no code implementations • 29 Nov 2017 • Qingfu Wan, Wei zhang, xiangyang xue
For the first time, we show that training regression network from skeleton map alone is capable of meeting the performance of state-of-theart 3D human pose estimation works.
1 code implementation • CVPR 2018 • Shuyang Sun, Zhanghui Kuang, Wanli Ouyang, Lu Sheng, Wei zhang
In this study, we introduce a novel compact motion representation for video action recognition, named Optical Flow guided Feature (OFF), which enables the network to distill temporal information through a fast and robust approach.
Ranked #36 on Action Recognition on UCF101
no code implementations • 7 Dec 2017 • Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei zhang, Kailash Gopalakrishnan
Highly distributed training of Deep Neural Networks (DNNs) on future compute platforms (offering 100 of TeraOps/s of computational capacity) is expected to be severely communication constrained.
no code implementations • ICLR 2018 • Wei Zhang, Qiuyu Chen, Jun Yu, Jianping Fan
In this paper, a deep boosting algorithm is developed to learn more discriminative ensemble classifier by seamlessly combining a set of base deep CNNs (base experts) with diverse capabilities, e. g., these base deep CNNs are sequentially trained to recognize a set of object classes in an easy-to-hard way according to their learning complexities.
no code implementations • 9 Jan 2018 • Yuanfang Guo, Xiaochun Cao, Wei zhang, Rui Wang
Based on our observations, i. e., potential traces in the hue, saturation, dark and bright channels, we propose two simple yet effective detection methods for fake colorized images: Histogram based Fake Colorized Image Detection (FCID-HIST) and Feature Encoding based Fake Colorized Image Detection (FCID-FE).
Multimedia
no code implementations • 11 Jan 2018 • Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei zhang, Min Zhang
First, we encode the context of entities on a dependency tree as sentence-level entity embedding based on tree-GRU.
no code implementations • 16 Jan 2018 • YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei zhang, Haofen Wang, Min Zhang
To quickly obtain new labeled data, we can choose crowdsourcing as an alternative way at lower cost in a short time.
Chinese Named Entity Recognition named-entity-recognition +2
no code implementations • 1 Mar 2018 • Yang Yu, Kazi Saidul Hasan, Mo Yu, Wei zhang, Zhiguo Wang
Relation detection is a core component for Knowledge Base Question Answering (KBQA).
3 code implementations • CVPR 2018 • Bairui Wang, Lin Ma, Wei zhang, Wei Liu
Unlike previous video captioning work mainly exploiting the cues of video contents to make a language description, we propose a reconstruction network (RecNet) with a novel encoder-decoder-reconstructor architecture, which leverages both the forward (video to sentence) and backward (sentence to video) flows for video captioning.
no code implementations • 10 May 2018 • Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei zhang
Deep CNNs have achieved great success in text detection.
no code implementations • 14 May 2018 • Qianqian Zhang, Wanqiu Huang, Yiqiao Gao, Yingtong Lv, Wei zhang, Zunjian Zhang, Fengguo Xu
Previous studies have revealed that saikosaponins are the major types of components that contribute to the hepatotoxicity of Radix Bupleuri.
1 code implementation • 24 May 2018 • Pan Lu, Lei Ji, Wei zhang, Nan Duan, Ming Zhou, Jianyong Wang
To better utilize semantic knowledge in images, we propose a novel framework to learn visual relation facts for VQA.
no code implementations • 31 May 2018 • Yu Zhao, Xiang Li, Wei zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Simultaneous modeling of the spatio-temporal variation patterns of brain functional network from 4D fMRI data has been an important yet challenging problem for the field of cognitive neuroscience and medical image analysis.
no code implementations • 4 Jul 2018 • Lu Wang, Wei zhang, Xiaofeng He, Hongyuan Zha
Prior relevant studies recommend treatments either use supervised learning (e. g. matching the indicator signal which denotes doctor prescriptions), or reinforcement learning (e. g. maximizing evaluation signal which indicates cumulative reward from survival rates).
no code implementations • 4 Aug 2018 • Guanbin Li, Xiang He, Wei zhang, Huiyou Chang, Le Dong, Liang Lin
Single image rain streaks removal has recently witnessed substantial progress due to the development of deep convolutional neural networks.
4 code implementations • 13 Aug 2018 • Shitao Tang, Litong Feng, Zhangkui Kuang, Yimin Chen, Wei zhang
In order to train a high-performance shot transition detector, we contribute a new database ClipShots, which contains 128636 cut transitions and 38120 gradual transitions from 4039 online videos.
Ranked #3 on Camera shot boundary detection on ClipShots (using extra training data)
no code implementations • 15 Aug 2018 • Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei zhang
Secondly, TSD significantly reduces the computations to run video action recognition with compressed frames on the cloud, while maintaining high recognition accuracies.
1 code implementation • ICLR 2019 • Xu Zhang, Felix Xinnan Yu, Svebor Karaman, Wei zhang, Shih-Fu Chang
Metric learning aims at learning a distance which is consistent with the semantic meaning of the samples.
no code implementations • EMNLP 2018 • Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei zhang, Hai Zhu, Huajun Chen
This paper proposes a label-free distant supervision method, which makes no use of the relation labels under this inadequate assumption, but only uses the prior knowledge derived from the KG to supervise the learning of the classifier directly and softly.
1 code implementation • NeurIPS 2018 • Xiaodong Cui, Wei zhang, Zoltán Tüske, Michael Picheny
We propose a population-based Evolutionary Stochastic Gradient Descent (ESGD) framework for optimizing deep neural networks.
no code implementations • 28 Nov 2018 • Bo Shen, Wei zhang, Haiyan Zhao, Zhi Jin, Yanhong Wu
And through feedback, each player is provided with personalized feedback information based on the current COG and the player's exploration result, in order to accelerate his/her puzzle-solving process.
no code implementations • 13 Dec 2018 • Hao Huang, Luowei Zhou, Wei zhang, Jason J. Corso, Chenliang Xu
Video action recognition, a critical problem in video understanding, has been gaining increasing attention.
no code implementations • ICLR 2019 • Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei zhang, Liang Lin
Reinforcement learning agents need exploratory behaviors to escape from local optima.
2 code implementations • 22 Dec 2018 • Aravind Sankar, Yanhong Wu, Liang Gou, Wei zhang, Hao Yang
Learning latent representations of nodes in graphs is an important and ubiquitous task with widespread applications such as link prediction, node classification, and graph visualization.
1 code implementation • EMNLP 2018 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei zhang, Huajun Chen
A capsule is a group of neurons, whose activity vector represents the instantiation parameters of a specific type of entity.
1 code implementation • 2 Jan 2019 • Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei zhang, Yimin Chen
ADL enlarges the distillation loss for hard-to-learn and hard-to-mimic samples and reduces distillation loss for the dominant easy samples, enabling distillation to work on the single-stage detector first time, even if the student and the teacher are identical.
no code implementations • 3 Jan 2019 • Weidong Zhang, Wei zhang, Jason Gu
More specifically, we present an encoder-decoder network with shared encoder and two separate decoders, which are composed of multiple deconvolution (transposed convolution) layers, to jointly learn the edge maps and semantic labels of a room image.
no code implementations • 9 Jan 2019 • Chuhui Xue, Shijian Lu, Wei zhang
State-of-the-art scene text detection techniques predict quadrilateral boxes that are prone to localization errors while dealing with straight or curved text lines of different orientations and lengths in scenes.
no code implementations • ICCV 2019 • Yuanzhi Liang, Yalong Bai, Wei zhang, Xueming Qian, Li Zhu, Tao Mei
Relationships encode the interactions among individual instances, and play a critical role in deep visual scene understanding.
no code implementations • 2 Feb 2019 • Bairui Wang, Lin Ma, Wei zhang, Wenhao Jiang, Feng Zhang
In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling.
Ranked #5 on Image-guided Story Ending Generation on VIST-E
1 code implementation • 13 Feb 2019 • Wei zhang, Stefan Klus, Tim Conrad, Christof Schütte
We develop a data-driven method to learn chemical reaction networks from trajectory data.
Optimization and Control 92C42, 62M86
1 code implementation • 15 Feb 2019 • Xinyue Zhang, Yanfang Wang, Wei zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho
In combination with current and upcoming data from cosmological observations, our method has the potential to answer fundamental questions about our Universe with the highest accuracy.
1 code implementation • 3 Mar 2019 • Gongjie Zhang, Shijian Lu, Wei zhang
This paper presents a novel object detection network (CAD-Net) that exploits attention-modulated features as well as global and local contexts to address the new challenges in detecting objects from remote sensing images.
no code implementations • NAACL 2019 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei zhang, Huajun Chen
Here, the challenge is to learn accurate "few-shot" models for classes existing at the tail of the class distribution, for which little data is available.
no code implementations • 12 Mar 2019 • Wen Zhang, Bibek Paudel, Wei zhang, Abraham Bernstein, Huajun Chen
Knowledge graph embedding aims to learn distributed representations for entities and relations, and is proven to be effective in many applications.
no code implementations • 21 Mar 2019 • Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei zhang, Abraham Bernstein, Huajun Chen
We also evaluate the efficiency of rule learning and quality of rules from IterE compared with AMIE+, showing that IterE is capable of generating high quality rules more efficiently.
1 code implementation • CVPR 2019 • Sijie Song, Wei zhang, Jiaying Liu, Tao Mei
Firstly, a semantic generative network is proposed to transform between semantic parsing maps, in order to simplify the non-rigid deformation learning.
no code implementations • 10 Apr 2019 • Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung, Michael Picheny
We show that we can train the LSTM model using ADPSGD in 14 hours with 16 NVIDIA P100 GPUs to reach a 7. 6% WER on the Hub5- 2000 Switchboard (SWB) test set and a 13. 1% WER on the CallHome (CH) test set.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • Advances in Knowledge Discovery and Data Mining (PAKDD 2019) 2019 • Yuanquan Lu, Wei zhang, Pan Lu, Jianyong Wang
Nowadays, the online interactions between users and items become diverse, and may include textual reviews as well as numerical ratings.
no code implementations • 20 Apr 2019 • Xinyu Li, Wei zhang, Tong Shen, Tao Mei
Selfie and cartoon are two popular artistic forms that are widely presented in our daily life.
no code implementations • ICLR 2019 • Haihong Yang, Han Wang, Shuang Guo, Wei zhang, Huajun Chen
Our model consists of two parts: (i) a novel learning-to-decompose agent that learns a policy to decompose a compound question into simple questions and (ii) three independent simple-question answerers that classify the corresponding relations for each simple question.
no code implementations • 3 May 2019 • Xuan Cao, Yanhao Ge, Ying Tai, Wei zhang, Jian Li, Chengjie Wang, Jilin Li, Feiyue Huang
In this work, we propose a novel framework named Region-Aware Network (RANet), which learns the ability of anti-confusing in case of heavy occlusion, nearby person and symmetric appearance, for human pose estimation.
no code implementations • 6 May 2019 • Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei zhang
Early and accurate congestion estimation is of great benefit to guide the optimization in HLS and improve the efficiency of implementation.
no code implementations • 7 May 2019 • Bowen Weng, Huaqing Xiong, Wei zhang
This paper studies accelerations in Q-learning algorithms.
no code implementations • 12 May 2019 • Danlu Chen, Xu-Yao Zhang, Wei zhang, Yao Lu, Xiuli Li, Tao Mei
Taking scene text detection as the application, where no suitable ensemble learning strategy exists, PEL can significantly improve the performance, compared to either individual state-of-the-art models, or the fusion of multiple models by non-maximum suppression.
no code implementations • 3 Jun 2019 • Wei Zhang, Bairui Wang, Lin Ma, Wei Liu
Unlike previous video captioning work mainly exploiting the cues of video contents to make a language description, we propose a reconstruction network (RecNet) in a novel encoder-decoder-reconstructor architecture, which leverages both forward (video to sentence) and backward (sentence to video) flows for video captioning.
no code implementations • 2019 IEEE 35th International Conference on Data Engineering (ICDE) 2019 • Ning Liu, Pan Lu, Wei zhang, Jianyong Wang
To address the above issues, we propose novel Knowledge-aware Deep Dual Networks (K-DDN) for the text-based mortality prediction task.
no code implementations • 10 Jul 2019 • Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David Kung, Michael Picheny
On commonly used public SWB-300 and SWB-2000 ASR datasets, ADPSGD can converge with a batch size 3X as large as the one used in SSGD, thus enable training at a much larger scale.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 10 Jul 2019 • Khoi-Nguyen C. Mac, Xiaodong Cui, Wei zhang, Michael Picheny
In automatic speech recognition (ASR), wideband (WB) and narrowband (NB) speech signals with different sampling rates typically use separate acoustic models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • WS 2019 • Zhiguo Wang, Yue Zhang, Mo Yu, Wei zhang, Lin Pan, Linfeng Song, Kun Xu, Yousef El-Kurdi
Self-explaining text categorization requires a classifier to make a prediction along with supporting evidence.
no code implementations • 20 Jul 2019 • Wei zhang, Shafei Wang, Ye Pan, Qiang Li, Jingran Lin, Xiaoxiao Wu
This paper considers computation offloading in fog-radio access networks (F-RAN), where multiple user equipments (UEs) offload their computation tasks to the F-RAN through a number of fog nodes.
no code implementations • 25 Jul 2019 • Yun Ye, Yixin Li, Bo Wu, Wei zhang, Ling-Yu Duan, Tao Mei
For "hard" attributes with insufficient training data, Deact brings more stable synthetic samples for training and further improve the performance.
1 code implementation • 29 Jul 2019 • Tong Shen, Dong Gong, Wei zhang, Chunhua Shen, Tao Mei
To tackle the unsupervised domain adaptation problem, we explore the possibilities to generate high-quality labels as proxy labels to supervise the training on target data.
no code implementations • 2 Aug 2019 • Jingxuan Jiang, Chundong Wang, Sudipta Chattopadhyay, Wei zhang
With such ongoing road context, RAIDS validates corresponding frames observed on the in-vehicle network.
no code implementations • 22 Aug 2019 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei zhang, Huajun Chen
However, the human annotation is expensive, while human-crafted patterns suffer from semantic drift and distant supervision samples are usually noisy.
1 code implementation • ICCV 2019 • Bairui Wang, Lin Ma, Wei zhang, Wenhao Jiang, Jingwen Wang, Wei Liu
In this paper, we propose to guide the video caption generation with Part-of-Speech (POS) information, based on a gated fusion of multiple representations of input videos.
no code implementations • 2 Sep 2019 • Hongdong Zheng, Yalong Bai, Wei zhang, Tao Mei
In our framework, a spatial constraint module is designed to fit reasonable scaling and spatial layout of object pairs with considering relationship between them.
no code implementations • 3 Sep 2019 • Tim van Leent, Matthias Bock, Robert Garthoff, Kai Redeker, Wei zhang, Tobias Bauer, Wenjamin Rosenfeld, Christoph Becher, Harald Weinfurter
Here we report on the generation and observation of entanglement between a Rb-87 atom and a photon at telecom wavelength over 20 km optical fiber.
Quantum Physics
1 code implementation • IJCNLP 2019 • Mingyang Chen, Wen Zhang, Wei zhang, Qiang Chen, Huajun Chen
Link prediction is an important way to complete knowledge graphs (KGs), while embedding-based methods, effective for link prediction in KGs, perform poorly on relations that only have a few associative triples.
no code implementations • 10 Sep 2019 • Shuo Yang, Wei zhang, Weizhi Lu, Hesheng Wang, Yibin Li
However, the general video captioning methods focus more on the understanding of the full frame, lacking of consideration on the specific object of interests in robotic manipulations.
no code implementations • 23 Sep 2019 • Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li
Alibaba has China's largest e-commerce platform.
no code implementations • 25 Sep 2019 • Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei zhang
Differently from the popular Deep Q-Network (DQN) learning, Alternating Q-learning (AltQ) does not fully fit a target Q-function at each iteration, and is generally known to be unstable and inefficient.
no code implementations • 1 Oct 2019 • Wei Zhang, Wei Li, Lei Han
Very short-term convective storm forecasting, termed nowcasting, has long been an important issue and has attracted substantial interest.
no code implementations • 3 Oct 2019 • Guillermo A. Castillo, Bowen Weng, Wei zhang, Ayonga Hereid
This paper presents a novel model-free reinforcement learning (RL) framework to design feedback control policies for 3D bipedal walking.
no code implementations • 4 Oct 2019 • Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
Graph representation learning, aiming to learn low-dimensional representations which capture the geometric dependencies between nodes in the original graph, has gained increasing popularity in a variety of graph analysis tasks, including node classification and link prediction.
no code implementations • 13 Oct 2019 • Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Das Mahashweta, Bendre Mangesh, Feifei Li, Wei zhang, Jeff M. Phillips
Embeddings are already essential tools for large language models and image analysis, and their use is being extended to many other research domains.
1 code implementation • 17 Oct 2019 • Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho
Cosmological simulations play an important role in the interpretation of astronomical data, in particular in comparing observed data to our theoretical expectations.
no code implementations • ICML 2020 • Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei zhang, Yingbin Liang
In this paper, we propose a novel scheme, which eliminates backtracking line search but still exploits the information along optimization path by adapting the batch size via history stochastic gradients.
1 code implementation • 25 Oct 2019 • Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei zhang, Huajun Chen
Differing from vanilla prototypical networks simply computing event prototypes by averaging, which only consume event mentions once, our model is more robust and is capable of distilling contextual information from event mentions for multiple times due to the multi-hop mechanism of DMNs.
no code implementations • NeurIPS 2020 • Mingrui Liu, Wei zhang, Youssef Mroueh, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das
Despite recent progress on decentralized algorithms for training deep neural networks, it remains unclear whether it is possible to train GANs in a decentralized manner.
no code implementations • 7 Nov 2019 • Wei Zhang, Feifei Lin, Xiaodong Wang, Zhenshuang Liang, Zhen Huang
However, when the translation task involves Chinese, semantic granularity remains at the word and character level, so there is still need more fine-grained translation model of Chinese.
no code implementations • 8 Nov 2019 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoayan Chen, Wei zhang, Huajun Chen
Specifically, the framework takes advantage of a relation discriminator to distinguish between samples from different relations, and help learn relation-invariant features more transferable from source relations to target relations.
no code implementations • 10 Nov 2019 • Wei Zhang, Youyuan Lin, Ruoran Ren, Xiaodong Wang, Zhenshuang Liang, Zhen Huang
We present the detailed mathematical construction of our method.
no code implementations • 14 Nov 2019 • Lei Han, Juanzhen Sun, Wei zhang
On the first layer of CNN, a cross-channel 3D convolution was proposed to fuse 3D raw data.
1 code implementation • 20 Nov 2019 • Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei zhang, Yuzhong Qu
As the direct neighbors of counterpart entities are usually dissimilar due to the schema heterogeneity, AliNet introduces distant neighbors to expand the overlap between their neighborhood structures.
Ranked #29 on Entity Alignment on DBP15k zh-en
no code implementations • 21 Nov 2019 • Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei zhang, Chuanhui Yu, Yuan Zhou
However, few works focus on the understanding of furniture within the scenes and a large-scale dataset is also lacked to advance the field.
no code implementations • 22 Nov 2019 • Lewei Yao, Hang Xu, Wei zhang, Xiaodan Liang, Zhenguo Li
In this paper, we present a two-stage coarse-to-fine searching strategy named Structural-to-Modular NAS (SM-NAS) for searching a GPU-friendly design of both an efficient combination of modules and better modular-level architecture for object detection.
no code implementations • 26 Nov 2019 • Pingchuan Ma, Yao Zhou, Yu Lu, Wei zhang
To this end, we propose the video shuffle, a parameter-free plug-in component that efficiently reallocates the inputs of 2D convolution so that its receptive field can be extended to the temporal dimension.
no code implementations • 26 Nov 2019 • Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong, Wei zhang, Feng Wu
Contrast enhancement and noise removal are coupled problems for low-light image enhancement.
no code implementations • 28 Nov 2019 • Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei zhang, Guanchun Wang, Min Zhang
We present a novel approach to improve the performance of distant supervision relation extraction with Positive and Unlabeled (PU) Learning.
no code implementations • NeurIPS 2019 • Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi (Viji) Srinivasan, Xiaodong Cui, Wei zhang, Kailash Gopalakrishnan
Reducing the numerical precision of data and computation is extremely effective in accelerating deep learning training workloads.
1 code implementation • 7 Dec 2019 • Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity.
no code implementations • 8 Dec 2019 • Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
Relying on this, the representation learning and clustering for short texts are seamlessly integrated into a unified model.
1 code implementation • 10 Dec 2019 • Zhuo Wang, Wei zhang, Ning Liu, Jianyong Wang
In this paper, we propose a new hierarchical rule-based model for classification tasks, named Concept Rule Sets (CRS), which has both a strong expressive ability and a transparent inner structure.
no code implementations • 12 Dec 2019 • Jia Li, Tong Shen, Wei zhang, Hui Ren, Dan Zeng, Tao Mei
The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society.
1 code implementation • 13 Dec 2019 • Jiahang Wang, Wei zhang, Weizhong Liu, Tao Mei
However, existing methods can hardly preserve the details in clothing texture and facial identity (face, hair) while fitting novel clothes and poses onto a person.
no code implementations • 26 Dec 2019 • Tao Mei, Wei zhang, Ting Yao
The real-world deployment or services of vision and language are elaborated as well.
no code implementations • ICLR 2020 • Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei zhang, Xiaodong Cui, Payel Das, Tianbao Yang
Then we propose an adaptive variant of OSG named Optimistic Adagrad (OAdagrad) and reveal an \emph{improved} adaptive complexity $O\left(\epsilon^{-\frac{2}{1-\alpha}}\right)$, where $\alpha$ characterizes the growth rate of the cumulative stochastic gradient and $0\leq \alpha\leq 1/2$.
no code implementations • 11 Jan 2020 • Dongyang Jin, Saiping Zhang, Xiao Huo, Wei zhang, Fuzheng Yang
The proposed method is able to reuse traditional camera calibration methods for the direction parameter set.
1 code implementation • ICLR 2020 • Junjie Yan, Ruosi Wan, Xiangyu Zhang, Wei zhang, Yichen Wei, Jian Sun
Therefore many modified normalization techniques have been proposed, which either fail to restore the performance of BN completely, or have to introduce additional nonlinear operations in inference procedure and increase huge consumption.
no code implementations • 30 Jan 2020 • Sheng Zhou, Xinjiang Wang, Ping Luo, Litong Feng, Wenjie Li, Wei zhang
This phenomenon is caused by the normalization effect of BN, which induces a non-trainable region in the parameter space and reduces the network capacity as a result.
1 code implementation • 1 Feb 2020 • Qianming Xue, Wei zhang, Hongyuan Zha
To improve domain-adapted sentiment classification by learning sentiment from the target domain as well, we devise a novel deep adversarial mutual learning approach involving two groups of feature extractors, domain discriminators, sentiment classifiers, and label probers.
no code implementations • AAAI Conference on Artificial Intelligence (AAAI 2020) 2020 • Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha
Personalized image caption, a natural extension of the standard image caption task, requires to generate brief image descriptions tailored for users’ writing style and traits, and is more practical to meet users’ real demands.
no code implementations • 4 Feb 2020 • Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David Kung, Michael Picheny
Decentralized Parallel SGD (D-PSGD) and its asynchronous variant Asynchronous Parallel SGD (AD-PSGD) is a family of distributed learning algorithms that have been demonstrated to perform well for large-scale deep learning tasks.
2 code implementations • 10 Feb 2020 • Chihao Zhang, Yang Yang, Wei zhang, Shihua Zhang
Such a method should scale up well, model the heterogeneous noise, and address the communication issue in a distributed system.
no code implementations • 15 Feb 2020 • Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei zhang
Despite the wide applications of Adam in reinforcement learning (RL), the theoretical convergence of Adam-type RL algorithms has not been established.
1 code implementation • ICML 2020 • Wei Zhang, Thomas Kobber Panum, Somesh Jha, Prasad Chalasani, David Page
We study the problem of learning Granger causality between event types from asynchronous, interdependent, multi-type event sequences.
1 code implementation • 19 Feb 2020 • Wen Wang, Wei zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Specifically, we build a Multi-Relational Item Graph (MRIG) based on all behavior sequences from all sessions, involving target and auxiliary behavior types.
no code implementations • 20 Feb 2020 • Yuanyuan Jin, Wei zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
Given a set of symptoms to treat, we aim to generate an overall syndrome representation by effectively fusing the embeddings of all the symptoms in the set, to mimic how a doctor induces the syndromes.
no code implementations • 24 Feb 2020 • Xiaodong Cui, Wei zhang, Ulrich Finkler, George Saon, Michael Picheny, David Kung
The past decade has witnessed great progress in Automatic Speech Recognition (ASR) due to advances in deep learning.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 1 Mar 2020 • Zhenbo Xu, Wei zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang
The pipeline of ZoomNet begins with an ordinary 2D object detection model which is used to obtain pairs of left-right bounding boxes.
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.
2 code implementations • CVPR 2020 • Mohan Zhou, Yalong Bai, Wei zhang, Tiejun Zhao, Tao Mei
Specifically, we first propose an object-extent learning module for localizing the object according to the visual patterns shared among the instances in the same category.
Ranked #17 on Fine-Grained Image Classification on CUB-200-2011
no code implementations • CVPR 2020 • Qiuyu Chen, Wei zhang, Ning Zhou, Peng Lei, Yi Xu, Yu Zheng, Jianping Fan
Specifically, the fractional dilated kernel is adaptively constructed according to the image aspect ratios, where the interpolation of nearest two integers dilated kernels is used to cope with the misalignment of fractional sampling.
no code implementations • 19 May 2020 • Yuang Liu, Wei zhang, Jun Wang
Knowledge Distillation (KD) is an effective framework for compressing deep learning models, realized by a student-teacher paradigm requiring small student networks to mimic the soft target generated by well-trained teachers.
no code implementations • 20 May 2020 • Rui Zhang, Conrad Albrecht, Wei zhang, Xiaodong Cui, Ulrich Finkler, David Kung, Siyuan Lu
Accurately and globally mapping human infrastructure is an important and challenging task with applications in routing, regulation compliance monitoring, and natural disaster response management etc..
6 code implementations • CVPR 2021 • Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei zhang, Chao Xu, Chunjing Xu, DaCheng Tao, Chang Xu
To achieve an extremely fast NAS while preserving the high accuracy, we propose to identify the vital blocks and make them the priority in the architecture search.
no code implementations • 5 Jun 2020 • Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei zhang, Shaojie Shen
To reduce the design effort and achieve the right balance, we propose FP-Stereo for building high-performance stereo matching pipelines on FPGAs automatically.
1 code implementation • 5 Jun 2020 • Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei zhang, Hao Yang, Hari Sundaram
We study the problem of making item recommendations to ephemeral groups, which comprise users with limited or no historical activities together.
1 code implementation • 3 Jul 2020 • Zhenbo Xu, Wei zhang, Xiao Tan, Wei Yang, Xiangbo Su, Yuchen Yuan, Hongwu Zhang, Shilei Wen, Errui Ding, Liusheng Huang
In this work, we present PointTrack++, an effective on-line framework for MOTS, which remarkably extends our recently proposed PointTrack framework.
1 code implementation • ECCV 2020 • Zhenbo Xu, Wei zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang
The resulting online MOTS framework, named PointTrack, surpasses all the state-of-the-art methods including 3D tracking methods by large margins (5. 4% higher MOTSA and 18 times faster over MOTSFusion) with the near real-time speed (22 FPS).
Multi-Object Tracking Multi-Object Tracking and Segmentation +1
no code implementations • 10 Jul 2020 • Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei zhang, Liang Wang
We use experiments on real-world merchant transaction data to demonstrate the effectiveness of our proposed model.
no code implementations • 15 Jul 2020 • Xiang Zhang, Wei zhang, Jinye Peng, Jianping Fan
A Guided Filter Network (GFN) is first developed to learn the segmentation knowledge from a source domain, and such GFN then transfers such segmentation knowledge to generate coarse object masks in the target domain.
no code implementations • 15 Jul 2020 • Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei zhang
In this paper, we first characterize the convergence rate for Q-AMSGrad, which is the Q-learning algorithm with AMSGrad update (a commonly adopted alternative of Adam for theoretical analysis).
1 code implementation • ECCV 2020 • Haoran Wang, Tong Shen, Wei zhang, Ling-Yu Duan, Tao Mei
To fully exploit the supervision in the source domain, we propose a fine-grained adversarial learning strategy for class-level feature alignment while preserving the internal structure of semantics across domains.
Ranked #15 on Image-to-Image Translation on SYNTHIA-to-Cityscapes
1 code implementation • ECCV 2020 • Hang Xu, Shaoju Wang, Xinyue Cai, Wei zhang, Xiaodan Liang, Zhenguo Li
In this paper, we propose a novel lane-sensitive architecture search framework named CurveLane-NAS to automatically capture both long-ranged coherent and accurate short-range curve information while unifying both architecture search and post-processing on curve lane predictions via point blending.
Ranked #12 on Lane Detection on CurveLanes
no code implementations • 25 Jul 2020 • Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang, Wei zhang, Junpeng Wang
New challenges have surfaced in monitoring and guaranteeing the integrity of payment processing systems.
no code implementations • 27 Jul 2020 • Wei Zhang, Zuoxiang Zeng
With the improvement of computer performance and the increase of data volume, the object detection based on convolutional neural network (CNN) has become the main algorithm for object detection.
no code implementations • 30 Jul 2020 • Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei zhang
For the infinite state-action space case, we establish the convergence guarantee for MomentumQ with linear function approximations and Markovian sampling.
no code implementations • 6 Aug 2020 • Mark P Little, Wei zhang, Roy van Dusen, Nobuyuki Hamada
For 7 studies that evaluated post-inoculation radiation exposure (more relevant to LDRT for COVID-19 pneumonia) the results are heterogeneous, with 2 studies showing a significant increase (p<0. 001) and another showing a significant decrease (p<0. 001) in mortality associated with radiation exposure.
no code implementations • ECCV 2020 • Weidong Zhang, Wei zhang, yinda zhang
The task of room layout estimation is to locate the wall-floor, wall-ceiling, and wall-wall boundaries.
1 code implementation • 15 Aug 2020 • Qiuyu Chen, Wei zhang, Jianping Fan
Instance-level alignment is widely exploited for person re-identification, e. g. spatial alignment, latent semantic alignment and triplet alignment.
Ranked #30 on Person Re-Identification on DukeMTMC-reID
no code implementations • 21 Aug 2020 • Jie Xu, Wei zhang, Fei Wang
A popular distributed learning strategy is federated learning, where there is a central server storing the global model and a set of local computing nodes updating the model parameters with their corresponding data.
1 code implementation • 24 Aug 2020 • Yalong Bai, Yuxiang Chen, Wei Yu, Linfang Wang, Wei zhang
With the rapid development of electronic commerce, the way of shopping has experienced a revolutionary evolution.
no code implementations • 30 Aug 2020 • Yue Fan, Shilei Chu, Wei zhang, Ran Song, Yibin Li
Extensive experiments are conducted to demonstrate the accuracy of the proposed imitating learning process as well as the reliability of the holistic system for autonomous drone navigation.
no code implementations • 3 Sep 2020 • Zhe Lin, Sharad Sinha, Wei zhang
We further present a high-performance, hardware-efficient and scalable online decision tree learning system on a field-programmable gate array (FPGA) with system-level optimization techniques.
no code implementations • 3 Sep 2020 • Zhe Lin, Wei zhang, Sharad Sinha
A flexible architecture of the hardware power monitoring is proposed, which can be instrumented in any RTL design for runtime power estimation, dispensing with the need for extra power measurement devices.
no code implementations • 3 Sep 2020 • Zhe Lin, Sharad Sinha, Wei zhang
As field-programmable gate arrays become prevalent in critical application domains, their power consumption is of high concern.
no code implementations • 13 Sep 2020 • Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei zhang, Huajun Chen
In DualDE, we propose a soft label evaluation mechanism to adaptively assign different soft label and hard label weights to different triples, and a two-stage distillation approach to improve the student's acceptance of the teacher.
no code implementations • 23 Sep 2020 • Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei zhang
Our proposed framework utilizes a set of entity-relation-matrices as the input, which quantifies the affinities among different entities in the database.
5 code implementations • EMNLP 2020 • Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu
Transformer-based pre-training models like BERT have achieved remarkable performance in many natural language processing tasks. However, these models are both computation and memory expensive, hindering their deployment to resource-constrained devices.
no code implementations • NeurIPS 2020 • Yixing Xu, Chang Xu, Xinghao Chen, Wei zhang, Chunjing Xu, Yunhe Wang
A convolutional neural network (CNN) with the same architecture is simultaneously initialized and trained as a teacher network, features and weights of ANN and CNN will be transformed to a new space to eliminate the accuracy drop.
no code implementations • NeurIPS 2020 • Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei zhang
Although Q-learning is one of the most successful algorithms for finding the best action-value function (and thus the optimal policy) in reinforcement learning, its implementation often suffers from large overestimation of Q-function values incurred by random sampling.
1 code implementation • EMNLP 2020 • Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei zhang, Huajun Chen
We introduce a prototype model and provide an open-source and extensible toolkit called OpenUE for various extraction tasks.
Ranked #3 on Joint Entity and Relation Extraction on WebNLG
1 code implementation • EMNLP 2020 • Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei zhang, Yichi Zhang, Hao Kong, Suhui Wu
On the one hand, sparse KGs contain less information, which makes it difficult for the model to choose correct paths.
1 code implementation • EMNLP 2020 • Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei zhang
Capturing associations for knowledge graphs (KGs) through entity alignment, entity type inference and other related tasks benefits NLP applications with comprehensive knowledge representations.
Ranked #28 on Entity Alignment on DBP15k zh-en
no code implementations • Findings of the Association for Computational Linguistics 2020 • Javid Ebrahimi, Dhruv Gelda, Wei zhang
For $\mathcal{D}_2$, we find that SA$^-$ completely breaks down on long sequences whereas the accuracy of SA$^+$ is 58. 82$\%$.
no code implementations • 16 Oct 2020 • Zhaowen Wang, Wei zhang, Zhiming Wang
Differentiable Architecture Search (DARTS) provides a baseline for searching effective network architectures based gradient, but it is accompanied by huge computational overhead in searching and training network architecture.
no code implementations • 20 Oct 2020 • Kerui Peng, Yana Safonova, Mikhail Shugay, Alice Popejoy, Oscar Rodriguez, Felix Breden, Petter Brodin, Amanda M. Burkhardt, Carlos Bustamante, Van-Mai Cao-Lormeau, Martin M. Corcoran, Darragh Duffy, Macarena Fuentes Guajardo, Ricardo Fujita, Victor Greiff, Vanessa D. Jonsson, Xiao Liu, Lluis Quintana-Murci, Maura Rossetti, Jianming Xie, Gur Yaari, Wei zhang, Malak S. Abedalthagafi, Khalid O. Adekoya, Rahaman A. Ahmed, Wei-Chiao Chang, Clive Gray, Yusuke Nakamura, William D. Lees, Purvesh Khatri, Houda Alachkar, Cathrine Scheepers, Corey T. Watson, Gunilla B. Karlsson Hedestam, Serghei Mangul
With the advent of high-throughput sequencing technologies, the fields of immunogenomics and adaptive immune receptor repertoire research are facing both opportunities and challenges.
no code implementations • 20 Oct 2020 • Wei zhang, Ning Liu, Yunfeng Zhang
Deep reinforcement learning (DRL) demonstrates great potential in mapless navigation domain.
10 code implementations • 28 Oct 2020 • Kai Han, Yunhe Wang, Qiulin Zhang, Wei zhang, Chunjing Xu, Tong Zhang
To this end, we summarize a tiny formula for downsizing neural architectures through a series of smaller models derived from the EfficientNet-B0 with the FLOPs constraint.
Ranked #692 on Image Classification on ImageNet
1 code implementation • COLING 2020 • Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei zhang, Min Zhang
The experimental results show that the ranking lists of the comparison systems on the DS-labelled test data and human-annotated test data are different.
no code implementations • COLING 2020 • Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei zhang, Huajun Chen
Current supervised relational triple extraction approaches require huge amounts of labeled data and thus suffer from poor performance in few-shot settings.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei zhang, Huajun Chen
It is desirable to generate answer summaries for online search engines, particularly summaries that can reveal direct answers to questions.
1 code implementation • 3 Nov 2020 • Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Yixing Xu, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models.
no code implementations • 5 Nov 2020 • Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei zhang
In this work, we approach this problem from a multi-modal learning perspective, where we use not only the merchant time series data but also the information of merchant-merchant relationship (i. e., affinity) to verify the self-reported business type (i. e., merchant category) of a given merchant.
no code implementations • 24 Nov 2020 • Mingrui Liu, Wei zhang, Francesco Orabona, Tianbao Yang
As a result, Adam$^+$ requires few parameter tuning, as Adam, but it enjoys a provable convergence guarantee.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
3 code implementations • NeurIPS 2020 • Kai Han, Yunhe Wang, Qiulin Zhang, Wei zhang, Chunjing Xu, Tong Zhang
To this end, we summarize a tiny formula for downsizing neural architectures through a series of smaller models derived from the EfficientNet-B0 with the FLOPs constraint.
1 code implementation • NeurIPS 2020 • Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei zhang, Jiashi Feng, Tong Zhang
In particular, we propose a novel joint-training framework to train plain CNN by leveraging the gradients of the ResNet counterpart.
no code implementations • NeurIPS 2020 • Ke Song, Wei zhang, Ran Song, Yibin Li
A deep visual tracker is typically based on either object detection or template matching while each of them is only suitable for a particular group of scenes.
1 code implementation • COLING 2020 • Rongtao Huang, Bowei Zou, Yu Hong, Wei zhang, AiTi Aw, Guodong Zhou
Most existing RC models are developed on formal datasets such as news articles and Wikipedia documents, which severely limit their performances when directly applied to the noisy and informal texts in social media.
1 code implementation • COLING 2020 • Junjie Yu, Tong Zhu, Wenliang Chen, Wei zhang, Min Zhang
In this paper, we propose an alternative approach to improve RE systems via enriching diverse expressions by relational paraphrase sentences.
no code implementations • 3 Dec 2020 • Wei zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel
Human judgments of word similarity have been a popular method of evaluating the quality of word embedding.
no code implementations • 11 Dec 2020 • Zhe Lin, Sharad Sinha, Wei zhang
Following this, we present Hard-ODT, a high-performance, hardware-efficient and scalable online decision tree learning system on a field-programmable gate array (FPGA) with system-level optimization techniques.
no code implementations • 24 Dec 2020 • Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao GAO, Haitao Long, Quan Yuan
In this paper, we will share the key insights and optimizations on efficient imitation learning and reinforcement learning for StarCraft II full game.
no code implementations • 28 Dec 2020 • Hilal Saglam, Changjiang Liu, Yi Li, Joseph Sklenar, Jonathan Gibbons, Deshun Hong, Vedat Karakas, John E. Pearson, Ozhan Ozatay, Wei zhang, Anand Bhattacharya, Axel Hoffmann
Antiferromagnets with tunable phase transitions are promising for future spintronics applications.
Materials Science
1 code implementation • ACL 2021 • Haoli Bai, Wei zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King
In this paper, we propose BinaryBERT, which pushes BERT quantization to the limit by weight binarization.
no code implementations • ICCV 2021 • Yanning Zhou, Hang Xu, Wei zhang, Bin Gao, Pheng-Ann Heng
The semi-supervised semantic segmentation methods utilize the unlabeled data to increase the feature discriminative ability to alleviate the burden of the annotated data.
no code implementations • 1 Jan 2021 • Zhuo Wang, Wei zhang, Ning Liu, Jianyong Wang
Rule-based models, e. g., decision trees, are widely used in scenarios demanding high model interpretability for their transparent inner structures and good model expressivity.
no code implementations • 1 Jan 2021 • Lin Zhao, Huaqing Xiong, Yingbin Liang, Wei zhang
Double Q-learning (Hasselt 2010) has gained significant success in practice due to its effectiveness in overcoming the overestimation issue of Q-learning.
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.
no code implementations • 1 Jan 2021 • Wei zhang, Mingrui Liu, Yu Feng, Brian Kingsbury, Yuhai Tu
We conduct extensive studies over 12 state-of-the-art DL models/tasks and demonstrate that DPSGD consistently outperforms SSGD in the large batch setting; and DPSGD converges in cases where SSGD diverges for large learning rates.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 12 Jan 2021 • Xuanyu He, Wei zhang, Ran Song, Qian Zhang, Xiangyuan Lan, Lin Ma
By studying two unsupervised person re-ID methods in a cross-method way, we point out a hard negative problem is handled implicitly by their designs of data augmentations and PK sampler respectively.