no code implementations • NLP4ConvAI (ACL) 2022 • Tong Zhang, Yong liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
Conversational Recommendation Systems recommend items through language based interactions with users. In order to generate naturalistic conversations and effectively utilize knowledge graphs (KGs) containing background information, we propose a novel Bag-of-Entities loss, which encourages the generated utterances to mention concepts related to the item being recommended, such as the genre or director of a movie.
1 code implementation • ECCV 2020 • Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
However, most of their training data is constructed by 3D Morphable Model, whose space spanned is only a small part of the shape space.
no code implementations • CCL 2021 • Hao Wang, Junhui Li, ZhengXian Gong
“在汉语等其他有省略代词习惯的语言中, 通常会删掉可从上下文信息推断出的代词。尽管以Transformer为代表的的神经机器翻译模型取得了巨大的成功, 但这种省略现象依旧对神经机器翻译模型造成了很大的挑战。本文在Transformer基础上提出了一个融合零指代识别的翻译模型, 并引入篇章上下文来丰富指代信息。具体地, 该模型采用联合学习的框架, 在翻译模型基础上, 联合了一个分类任务, 即判别句子中省略代词在句子所表示的成分, 使得模型能够融合零指代信息辅助翻译。通过在中英对话数据集上的实验, 验证了本文提出方法的有效性, 与基准模型相比, 翻译性能提升了1. 48个BLEU值。”
no code implementations • 21 May 2022 • Hao Wang
Regularization is a popular technique to solve the overfitting problem of machine learning algorithms.
no code implementations • 11 May 2022 • Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich
This work provides the exact expression of the probability distribution of the hypervolume improvement (HVI) for bi-objective generalization of Bayesian optimization.
1 code implementation • 29 Apr 2022 • Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
In this paper, we explore how to bring interpretability to data-driven DSMD.
no code implementations • 28 Apr 2022 • Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
Bayesian Optimization (BO) is a surrogate-based global optimization strategy that relies on a Gaussian Process regression (GPR) model to approximate the objective function and an acquisition function to suggest candidate points.
no code implementations • 27 Apr 2022 • Hao Wang
Matrix Factorization is a widely adopted technique in the field of recommender system.
no code implementations • 27 Apr 2022 • Hao Wang
However, the initial formulation of GloVe is not theoretically sound in two aspects, namely the selection of the weighting function and its power exponent is ad-hoc.
no code implementations • 27 Apr 2022 • Hao Wang
In this paper, we take advantage of the MatMat framework, which factorizes matrices by matrix fitting to build a context-aware movie recommender system that is superior to classic matrix factorization and comparable in the fairness metric.
no code implementations • 27 Apr 2022 • Hao Wang
Recommender system has intrinsic problems such as sparsity and fairness.
no code implementations • 26 Apr 2022 • Jiawei Zhang, Jinwei Wang, Hao Wang, Xiangyang Luo
The destruction to DNNs brought by the adversarial attack sparks the potential that adversarial examples serve as a new protection mechanism for privacy security in social networks.
1 code implementation • 26 Apr 2022 • Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
Visual representations underlie object recognition tasks, but they often contain both robust and non-robust features.
no code implementations • 20 Apr 2022 • Diederick Vermetten, Hao Wang, Manuel López-Ibañez, Carola Doerr, Thomas Bäck
Particularly, we show that the number of runs used in many benchmarking studies, e. g., the default value of 15 suggested by the COCO environment, can be insufficient to reliably rank algorithms on well-known numerical optimization benchmarks.
no code implementations • 20 Apr 2022 • Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
In contrast to other recent work on online per-run algorithm selection, we warm-start the second optimizer using information accumulated during the first optimization phase.
no code implementations • 18 Apr 2022 • Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma
To that end, we propose a novel framework to promote cascade size prediction by enhancing the user preference modeling according to three stages, i. e., preference topics generation, preference shift modeling, and social influence activation.
no code implementations • 13 Apr 2022 • Xinyu Gao, Wenqiang Yi, Alexandros Agapitos, Hao Wang, Yuanwei Liu
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e. g. high transmit power contributes to large coverage but high inter-cell interference reduces the capacity performance.
no code implementations • 13 Apr 2022 • Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Lastly, with a sensitivity analysis, we find the actual performance gain is hugely affected by the switching point, and in some cases, the switching point yielding the best actual performance differs from the one computed from the theoretical gain.
5 code implementations • 10 Apr 2022 • Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, GuiBin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy
In this paper, we present the challenge setup and assessment of the state-of-the-art deep learning methods proposed by the participants during the challenge.
Ranked #1 on
Action Triplet Recognition
on CholecT50 (Challenge)
(using extra training data)
no code implementations • 9 Apr 2022 • Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori.
1 code implementation • ICCV 2021 • Xiaohu Huang, Duowang Zhu, Xinggang Wang, Hao Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng
Specifically, CSTL contains an adaptive temporal aggregation module that subsequently performs local relation modeling and global relation modeling to fuse the multi-scale features.
no code implementations • 3 Apr 2022 • Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu
In this paper, we theoretically demonstrate that ESMM suffers from the following two problems: (1) Inherent Estimation Bias (IEB), where the estimated CVR of ESMM is inherently higher than the ground truth; (2) Potential Independence Priority (PIP) for CTCVR estimation, where there is a risk that the ESMM overlooks the causality from click to conversion.
1 code implementation • 1 Apr 2022 • Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li
Recently, the dense correlation volume method achieves state-of-the-art performance in optical flow.
1 code implementation • 29 Mar 2022 • WanYu Lin, Hao Lan, Hao Wang, Baochun Li
This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors.
no code implementations • 27 Mar 2022 • Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao liu, Bo Ren, Xiang Bai, Wenyu Liu
Recently, the semantics of scene text has been proven to be essential in fine-grained image classification.
1 code implementation • 17 Mar 2022 • Yuzhe Yang, Hao Wang, Dina Katabi
We formalize the task of Multi-Domain Long-Tailed Recognition (MDLT), which learns from multi-domain imbalanced data, addresses label imbalance, domain shift, and divergent label distributions across domains, and generalizes to all domain-class pairs.
no code implementations • 6 Mar 2022 • Hao He, Yuzhe Yang, Hao Wang
In this paper, we propose a new assumption, Factorizable Joint Shift (FJS), to handle the co-existence of sampling bias in covariates and labels.
1 code implementation • 1 Mar 2022 • Jinlai Zhang, Weiming Li, Shuang Liang, Hao Wang, Jihong Zhu
We also introduce a new U6DA-Linemod dataset for robustness study of the 6D pose estimation task.
no code implementations • 1 Mar 2022 • Jian Jin, Dong Yu, Weisi Lin, Lili Meng, Hao Wang, Huaxiang Zhang
Besides, the JND of the red and blue channels are larger than that of the green one according to the experimental results of the proposed model, which demonstrates that more changes can be tolerated in the red and blue channels, in line with the well-known fact that the human visual system is more sensitive to the green channel in comparison with the red and blue ones.
no code implementations • 13 Feb 2022 • Hao Wang, Yu Bai, Guangmin Sun, Jie Liu
Powerful recognition algorithms are widely used in the Internet or important medical systems, which poses a serious threat to personal privacy.
1 code implementation • ICLR 2022 • Zihao Xu, Hao He, Guang-He Lee, Yuyang Wang, Hao Wang
In this work, we relax such uniform alignment by using a domain graph to encode domain adjacency, e. g., a graph of states in the US with each state as a domain and each edge indicating adjacency, thereby allowing domains to align flexibly based on the graph structure.
no code implementations • 7 Feb 2022 • Hao Wang, Zhi Li, Chunpeng Ge, Willy Susilo
To address the issue of privacy-preserving in collaborative learning, secure outsourced computation and federated learning are two typical methods.
no code implementations • 1 Feb 2022 • Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang
Recurrent neural networks have proven effective in modeling sequential user feedbacks for recommender systems.
no code implementations • 27 Jan 2022 • Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head
An important application of DL methods is extracting driving safety metrics from traffic imagery.
no code implementations • 25 Jan 2022 • Jia Cui, Jiang Pan, Shunjiang Wang, Martin Onyeka Okoye, Junyou Yang, Yang Li, Hao Wang
With the widespread use of distributed energy sources, the advantages of smart buildings over traditional buildings are becoming increasingly obvious.
no code implementations • 17 Jan 2022 • Hao Wang, Yuxuan Qin, ChonLam Lao, Yanfang Le, Wenfei Wu, Kai Chen
However, switch memory is scarce compared to the volume of gradients transmitted in distributed training.
no code implementations • 17 Jan 2022 • Sarita Bugalia, Jai Prakash Tripathi, Hao Wang
To address the novel dynamics of the disease, we propose a dynamical model of two strains, namely native and mutant, transmission dynamics with mutation and imperfect vaccination.
1 code implementation • 16 Jan 2022 • Hao Wang, Yangguang Li, Zhen Huang, Yong Dou, Lingpeng Kong, Jing Shao
To alleviate feature suppression, we propose contrastive learning for unsupervised sentence embedding with soft negative samples (SNCSE).
no code implementations • 15 Jan 2022 • Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis
Recently, we created a method in forecasting the daily number of confirmed cases of infectious diseases by combining a mechanistic ordinary differential equation (ODE) model for infectious classes and a generalized boosting machine learning model (GBM) for predicting how public health policies and mobility data affect the transmission rate in the ODE model [WWR+].
no code implementations • 27 Dec 2021 • Yiqing Ma, Hao Wang, Yiming Zhang, Kai Chen
ByteScheduler partitions and rearranges tensor transmissions to improve the communication efficiency of distributed Deep Neural Network (DNN) training.
no code implementations • 22 Dec 2021 • Jinhao Li, Ruichang Zhang, Hao Wang, Zhi Liu, Hongyang Lai, Yanru Zhang
To solve the MOO problem, we develop a novel DRL algorithm leveraging the graphical information of the distribution network.
2 code implementations • 18 Dec 2021 • Zixuan Ke, Bing Liu, Hao Wang, Lei Shu
In this setting, the CL system learns a sequence of SC tasks incrementally in a neural network, where each task builds a classifier to classify the sentiment of reviews of a particular product category or domain.
Ranked #4 on
Continual Learning
on DSC (10 tasks)
no code implementations • 13 Dec 2021 • Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin
Such a pricing scheme provides users with incentives to invest in behind-the-meter energy storage and to shift peak load towards low-price intervals.
no code implementations • 8 Dec 2021 • Glen Chou, Hao Wang, Dmitry Berenson
We propose a method for learning constraints represented as Gaussian processes (GPs) from locally-optimal demonstrations.
no code implementations • 8 Dec 2021 • Xiunan Wang, Hao Wang, Pouria Ramazi, Kyeongah Nah, Mark Lewis
Typically, a hypothesis is made on the form of the transmission rate with respect to time.
no code implementations • 8 Dec 2021 • Hao Wang, Yassine Qamsane, James Moyne, Kira Barton
In this work, we address point detection and time series classification for machine-part interactions with a deep Convolutional Neural Network (CNN) based framework.
no code implementations • 6 Dec 2021 • Hao Wang
Recommender system is an applicable technique in most E-commerce commercial product technical designs.
no code implementations • 6 Dec 2021 • Hao Wang
Our framework is friendly to multitask learning and side information incorporation.
no code implementations • 4 Dec 2021 • Tingting Zhai, Hongcheng Tang, Hao Wang
The key feature of our framework is that both scoring and thresholding models are included as important components of the online multi-label classifier and are incorporated into one online optimization problem.
no code implementations • 2 Dec 2021 • Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
In this work, we propose Prototype Graph Neural Network (ProtGNN), which combines prototype learning with GNNs and provides a new perspective on the explanations of GNNs.
no code implementations • 9 Nov 2021 • Boyuan Ma, Xiang Yin, Xiaojuan Ban, Haiyou Huang, Neng Zhang, Hao Wang, Weihua Xue
The core contributions are as follows: 1) the federated learning algorithm is introduced into the polycrystalline microstructure image segmentation task to make full use of different user data to carry out machine learning, break the data island and improve the model generalization ability under the condition of ensuring the privacy and security of user data; 2) A data sharing strategy based on style transfer is proposed.
1 code implementation • 7 Nov 2021 • Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
IOHexperimenter can be used as a stand-alone tool or as part of a benchmarking pipeline that uses other components of IOHprofiler such as IOHanalyzer, the module for interactive performance analysis and visualization.
no code implementations • 29 Oct 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun
The multi-relational Knowledge Base Question Answering (KBQA) system performs multi-hop reasoning over the knowledge graph (KG) to achieve the answer.
Knowledge Base Question Answering
Knowledge Graph Embedding
+1
no code implementations • 28 Oct 2021 • Kevin Maher, Zeyuan Huang, Jiancheng Song, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang
We further studied the usability of the system by speaking novices and experts on assisting analysis of inspirational speech effectiveness.
no code implementations • 28 Oct 2021 • Zhenyu Wang, XiaoYu Zhang, Hao Wang
In smart grids, distributed energy resources (DERs) have penetrated residential zones to provide a new form of electricity supply, mainly from renewable energy.
no code implementations • 27 Oct 2021 • Hao Wang, Yining Gao, Jiashan Wang, Hongying Liu
We also derive the sequential optimality conditions for both problems and study the conditions under which these conditions imply the first-order necessary conditions.
1 code implementation • 13 Oct 2021 • Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit
In this work, we show how data labeled with semantically continuous attributes can be utilized to conduct a quantitative evaluation of latent-space interpolation algorithms, for variational autoencoders.
no code implementations • 13 Oct 2021 • Zhiming Liu, Xuefei Zhang, Chongyang Liu, Hao Wang, Chao Sun, Bin Li, Weifeng Sun, Pu Huang, Qingjun Li, Yu Liu, Haipeng Kuang, Jihong Xiu
To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): 1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution.
no code implementations • 4 Oct 2021 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
We also validate the usefulness of our learned tree structures in the food cross-modal retrieval task, where the proposed model with tree representations can outperform state-of-the-art benchmark results.
1 code implementation • NeurIPS 2021 • Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
To bridge this gap, we propose Motif-based Graph Self-supervised Learning (MGSSL) by introducing a novel self-supervised motif generation framework for GNNs.
no code implementations • 1 Oct 2021 • ZiYun Wang, Hao Wang
The abrupt outbreak of the COVID-19 pandemic was the most significant event in 2020, which had profound and lasting impacts across the world.
no code implementations • 29 Sep 2021 • Xueyang Wu, Hengguan Huang, Hao Wang, Ye Wang, Qian Xu
However, it is challenging for GANs to model distributions of separate non-i. i. d.
no code implementations • 29 Sep 2021 • WanYu Lin, Hao Lan, Hao Wang, Baochun Li
This paper proposes a new explanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors.
no code implementations • 29 Sep 2021 • Hao Wang, Longyin Wen, Libo Zhang, Tiejian Luo
In this way, the three branches of transformers can support each other to exploit the most discriminative semantic information in different modalities for accurate predictions of captions, especially for the subject, predicate, and object parts in a sentence.
no code implementations • NeurIPS Workshop ICBINB 2021 • Yuhui Zhang, Hao Ding, Zeren Shui, Yifei Ma, James Zou, Anoop Deoras, Hao Wang
Pre-trained language models (PLMs) such as BERT and GPT learn general text representations and encode extensive world knowledge; thus, they can be efficiently and accurately adapted to various downstream tasks.
no code implementations • 21 Sep 2021 • Haewon Jeong, Hao Wang, Flavio P. Calmon
We investigate the fairness concerns of training a machine learning model using data with missing values.
no code implementations • 20 Sep 2021 • Chen Long, Wenxiao Zhang, Ruihui Li, Hao Wang, Zhen Dong, Bisheng Yang
Point cloud upsampling is to densify a sparse point set acquired from 3D sensors, providing a denser representation for the underlying surface.
1 code implementation • 14 Sep 2021 • Fushun Zhu, Shan Zhao, Peng Wang, Hao Wang, Hua Yan, Shuaicheng Liu
We propose a semi-supervised network for wide-angle portraits correction.
no code implementations • 12 Sep 2021 • Gang Yan, Hao Wang, Jian Li
In this work, we show that the final test accuracy of FL is dramatically affected by the early phase of the training process, i. e., FL exhibits critical learning periods, in which small gradient errors can have irrecoverable impact on the final test accuracy.
no code implementations • 6 Sep 2021 • Christopher M. Heggerud, King-Yeung Lam, Hao Wang
The paradox of the plankton highlights the apparent contradiction between Gause's law of competitive exclusion and the observed diversity of phytoplankton.
no code implementations • 6 Sep 2021 • Xingjian He, Weining Wang, Zhiyong Xu, Hao Wang, Jie Jiang, Jing Liu
Compared with image scene parsing, video scene parsing introduces temporal information, which can effectively improve the consistency and accuracy of prediction.
no code implementations • 4 Sep 2021 • Yexing Hu, Berkan Lafci, Artur Luzgin, Hao Wang, Jan Klohs, Xose Luis Dean-Ben, Ruiqing Ni, Daniel Razansky, Wuwei Ren
Multi-spectral optoacoustic tomography (MSOT) is an emerging optical imaging method providing multiplex molecular and functional information from the rodent brain.
1 code implementation • 30 Aug 2021 • Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images.
no code implementations • 28 Aug 2021 • Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park
Serverless computing automates fine-grained resource scaling and simplifies the development and deployment of online services with stateless functions.
no code implementations • 26 Aug 2021 • Hao Wang, Zheng-Jun Zha, Liang Li, Xuejin Chen, Jiebo Luo
We propose a novel MultiModulation Network (M2N) to learn the above correlation and leverage it as semantic guidance to modulate the related auditory, visual, and fused features.
no code implementations • 18 Aug 2021 • Yilin Liao, Hao Wang, Zhaoran Liu, Haozhe Li, Xinggao Liu
The effectiveness of shortcut/skip-connection has been widely verified, which inspires massive explorations on neural architecture design.
no code implementations • 14 Aug 2021 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
Video captioning targets interpreting the complex visual contents as text descriptions, which requires the model to fully understand video scenes including objects and their interactions.
no code implementations • 12 Aug 2021 • Meng Cao, HaoZhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
Compared with the state-of-the-art facial image editing methods, our framework generates video portraits that are more photo-realistic and temporally smooth.
2 code implementations • ICCV 2021 • Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang
Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks.
Ranked #1 on
Object Detection
on SIXray
1 code implementation • 4 Aug 2021 • Hao Wang, Yue Deng, Linyuan Lü, Guanrong Chen
Graphs can be used to describe complex systems.
no code implementations • 3 Aug 2021 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
In this paper, we propose a novel unified framework of Cycle-consistent Inverse GAN (CI-GAN) for both text-to-image generation and text-guided image manipulation tasks.
no code implementations • 23 Jul 2021 • Afshin Ghassemi, Laura Soares, Hao Wang, Zhimin Xi
Electric vehicles (EVs) provide an alternative solution that decreases the dependency on traditional fuels such as gasoline and reduces hazardous gas emissions.
1 code implementation • 17 Jul 2021 • Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
In this paper, we present a probabilistic ordinary differential equation (ODE), called STochastic boundaRy ODE (STRODE), that learns both the timings and the dynamics of time series data without requiring any timing annotations during training.
1 code implementation • 16 Jul 2021 • Hao Wang, Euijoon Ahn, Jinman Kim
To address these problems, we present a novel self-supervised spatiotemporal learning framework for remote physiological signal representation learning, where there is a lack of labelled training data.
1 code implementation • 1 Jul 2021 • Waleed Tahir, Hao Wang, Lei Tian
In addition, we show that by training the DSN entirely on simulated data, the network can generalize to experiments and achieve robust 3D descattering.
1 code implementation • 22 Jun 2021 • Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng
Most existing methods regard ZS-SBIR as a traditional classification problem and employ a cross-entropy or triplet-based loss to achieve retrieval, which neglect the problems of the domain gap between sketches and natural images and the large intra-class diversity in sketches.
no code implementations • CVPR 2021 • Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang
In addition, we propose a deep reinforcement learning scheme with a latitude adaptive reward, in order to automatically select optimal upscaling factors for different latitude bands.
no code implementations • CVPR 2021 • Hao Wang, Zheng-Jun Zha, Liang Li, Dong Liu, Jiebo Luo
In particular, for cross-modal interaction, we interact the sentence-level query with the whole moment while interact the word-level query with content and boundary, as in a coarse-to-fine manner.
no code implementations • CCL 2021 • Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu
Question generation (QG) is to generate natural and grammatical questions that can be answered by a specific answer for a given context.
1 code implementation • 13 Jun 2021 • Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang
Link prediction methods are frequently applied in recommender systems, e. g., to suggest citations for academic papers or friends in social networks.
1 code implementation • 11 Jun 2021 • Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Finding the best configuration of algorithms' hyperparameters for a given optimization problem is an important task in evolutionary computation.
no code implementations • 9 Jun 2021 • Yinan Zhang, Boyang Li, Yong liu, Hao Wang, Chunyan Miao
In this work, we propose a new initialization scheme for user and item embeddings called Laplacian Eigenmaps with Popularity-based Regularization for Isolated Data (LEPORID).
1 code implementation • 7 Jun 2021 • Fengtong Xiao, Lin Li, Weinan Xu, Jingyu Zhao, Xiaofeng Yang, Jun Lang, Hao Wang
In this paper, we propose a Deep Multi-behavior Graph Networks (DMBGN) to shed light on this field for the voucher redemption rate prediction.
1 code implementation • 5 Jun 2021 • Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
Then we design a graph auto-encoder module to efficiently exploit graph topology, node attributes, and target model parameters for edge inference.
no code implementations • 4 Jun 2021 • Zhuo Wei, Hao Wang
We develop a deep neural network (DNN) to analyze the relationship between users' load patterns and their demographic and socioeconomic features.
no code implementations • 1 Jun 2021 • Yongsheng Cao, Hao Wang, Demin Li, Guanglin Zhang
First, we formulate an EV charging problem to minimize the electricity bill of the EV fleet and study the EV charging problem in an online setting without knowing future information.
1 code implementation • 1 Jun 2021 • Hao Wang
We demonstrate that our approach can boost the fairness of the algorithm and enhances performance evaluated by traditional metrics.
1 code implementation • 25 May 2021 • Guoqing Zhang, Yu Ge, Zhicheng Dong, Hao Wang, yuhui Zheng, ShengYong Chen
Compared with the state-of-the-art methods, our proposed PS-HRNet improves 3. 4\%, 6. 2\%, 2. 5\%, 1. 1\% and 4. 2\% at Rank-1 on MLR-Market-1501, MLR-CUHK03, MLR-VIPeR, MLR-DukeMTMC-reID, and CAVIAR datasets, respectively.
no code implementations • 18 May 2021 • Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang
This poses a chicken-and-egg problem for early-stage products, whose amount of data, in turn, relies on the performance of their RS.
no code implementations • 18 May 2021 • Tong Zhang, Yong liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
The chit-chat-based conversational recommendation systems (CRS) provide item recommendations to users through natural language interactions.
no code implementations • 14 May 2021 • Rick Boks, Anna V. Kononova, Hao Wang
Constraint handling is one of the most influential aspects of applying metaheuristics to real-world applications, which can hamper the search progress if treated improperly.
no code implementations • 11 May 2021 • Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
Hence, the ability to generate suitable clarifying questions is the key to timely tracing users' dynamic preferences and achieving successful recommendations.
no code implementations • 10 May 2021 • Pengwei Wang, Xin Ye, Xiaohuan Zhou, Jinghui Xie, Hao Wang
In contrast to conventional pipeline Spoken Language Understanding (SLU) which consists of automatic speech recognition (ASR) and natural language understanding (NLU), end-to-end SLU infers the semantic meaning directly from speech and overcomes the error propagation caused by ASR.
Automatic Speech Recognition
Natural Language Understanding
+3
no code implementations • 10 May 2021 • Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
We find that anisotropy is very rare, and even in cases where it is present, there are clear tests for SB which do not rely on any assumptions of isotropy, so we can safely expand the suite of SB tests to encompass these kinds of deficiencies not found by the original tests.
no code implementations • 8 May 2021 • Yangjie Mei, Hao Wang
Over the past decades, more and more methods gain a giant development due to the development of technology.
no code implementations • 1 May 2021 • Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang
In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.
no code implementations • 1 May 2021 • Qing Yang, Hao Wang
This work develops a novel distributed method for the residential transactive energy system that enables multiple users to interactively optimize their energy management of HVAC systems and behind-the-meter batteries.
1 code implementation • 27 Apr 2021 • Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
Moreover, modeling and inferring complex relations of one-to-many (1-N), many-to-one (N-1), and many-to-many (N-N) by previous knowledge graph completion approaches requires high model complexity and a large amount of training instances.
no code implementations • 16 Apr 2021 • Jacob de Nobel, Hao Wang, Thomas Bäck
From our analysis, we saw that the features can classify the CMA-ES variants, or the function groups decently, and show a potential for predicting the performance of those variants.
no code implementations • 12 Apr 2021 • Wenjun Tang, Hao Wang, Xian-Long Lee, Hong-Tzer Yang
We model consumption patterns by representative loads and reveal the relationship between load patterns and socioeconomic characteristics.
no code implementations • 7 Apr 2021 • Hao Wang, Xiangyu Yang, Wei Jiang
Specifically, if the current iterate is in the interior of the feasible set, then the weighted $\ell_{1}$ ball is formed by linearizing the $\ell_{p}$ norm at the current iterate.
no code implementations • 4 Apr 2021 • Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
In WIDEN, we propose a novel inductive, meta path-free message passing scheme that packs up heterogeneous node features with their associated edges from both low- and high-order neighbor nodes.
1 code implementation • CVPR 2021 • Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu
Such a task is usually realized by matching a query text to the recognized words, outputted by an end-to-end scene text spotter.
1 code implementation • ICCV 2021 • Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
We find that images contain intrinsic structure that enables the reversal of many adversarial attacks.
no code implementations • 23 Mar 2021 • Zhaolong Ling, Kui Yu, Hao Wang, Lin Liu, Jiuyong Li
We study an interesting and challenging problem, learning any part of a Bayesian network (BN) structure.
no code implementations • 8 Mar 2021 • Kezhang Zhu, Junhua Mei, Yuming Su, Pingping Dai, Nicola D'Ascenzo, Hao Wang, Peng Xiao, Lin Wan, Qingguo Xie
After processing 30, 000 randomly-chosen pulses sampled by the oscilloscope with a 22Na point source, our method achieves an energy resolution of 17. 50% within a 450-650 KeV energy window, which is 2. 44% better than the result of traditional MVT with same thresholds; and we get a count number at 15225 in the same energy window while the result of MVT is at 14678.
no code implementations • 28 Feb 2021 • Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Local causal structure learning aims to discover and distinguish direct causes (parents) and direct effects (children) of a variable of interest from data.
no code implementations • 25 Feb 2021 • Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
However, when introducing a new component into an existing algorithm, assessing its potential benefits is a challenging task.
no code implementations • 22 Feb 2021 • Hao Jiang, Shuangkaisheng Bi, Linglong Dai, Hao Wang, Jiankun Zhang
However, the gradient vanishing and overfitting problems of GAN will result in the serious performance degradation of E2E learning of communication system.
no code implementations • 19 Feb 2021 • Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao
Joint event and causality extraction is a challenging yet essential task in information retrieval and data mining.
1 code implementation • 18 Feb 2021 • Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen, Hao Wang, Dina Katabi
We define Deep Imbalanced Regression (DIR) as learning from such imbalanced data with continuous targets, dealing with potential missing data for certain target values, and generalizing to the entire target range.
1 code implementation • 17 Feb 2021 • Hao Wang, Weining Wang, Jing Liu
Video semantic segmentation requires to utilize the complex temporal relations between frames of the video sequence.
Ranked #1 on
Video Semantic Segmentation
on Cityscapes val
no code implementations • 13 Feb 2021 • Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Hao Wang, Yuyang Wang
Recently, deep neural networks have gained increasing popularity in the field of time series forecasting.
no code implementations • NeurIPS 2021 • Hao Wang, Rui Gao, Flavio P. Calmon
In this paper, we analyze the generalization of models trained by noisy iterative algorithms.
no code implementations • 3 Feb 2021 • Shengkui Zhao, Hao Wang, Trung Hieu Nguyen, Bin Ma
Cross-lingual voice conversion (VC) is an important and challenging problem due to significant mismatches of the phonetic set and the speech prosody of different languages.
no code implementations • 22 Jan 2021 • Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang
The majority of current MTL studies adopt the hard parameter sharing structure, where hard layers tend to learn general representations over all tasks and specific layers are prone to learn specific representations for each task.
no code implementations • 11 Jan 2021 • Qing Yang, Hao Wang
Further, we design an efficient blockchain system tailored for IoT devices and develop the smart contract to support the holistic transactive energy management system.
1 code implementation • 7 Jan 2021 • Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit
Single-beam scanning electron microscopes (SEM) are widely used to acquire massive data sets for biomedical study, material analysis, and fabrication inspection.
2 code implementations • 5 Jan 2021 • Xiangyu Yang, Jiashan Wang, Hao Wang
This paper primarily focuses on computing the Euclidean projection of a vector onto the $\ell_{p}$ ball in which $p\in(0, 1)$.
no code implementations • 1 Jan 2021 • Hao Wang, Yifei Ma, Hao Ding, Bernie Wang
Recurrent neural networks have proven effective in modeling sequential user feedbacks for recommender systems.
1 code implementation • ICCV 2021 • Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan
Vessel segmentation is critically essential for diagnosinga series of diseases, e. g., coronary artery disease and retinal disease.
1 code implementation • 24 Dec 2020 • Hao Wang, Ce Yu, Bo Zhang, Jian Xiao, Qi Luo
Gridding operation, which is to map non-uniform data samples onto a uniformly distributedgrid, is one of the key steps in radio astronomical data reduction process.
Instrumentation and Methods for Astrophysics
1 code implementation • CVPR 2021 • Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick
We introduce a framework for learning robust visual representations that generalize to new viewpoints, backgrounds, and scene contexts.
no code implementations • 17 Dec 2020 • Haile Liu, Yonghui Li, Si Sun, Qi Xin, Shuhu Liu, Xiaoyu Mu, Xun Yuan, Ke Chen, Hao Wang, Kalman Varga, Wenbo Mi, Jiang Yang, Xiao-Dong Zhang
Emerging artificial enzymes with reprogrammed and augmented catalytic activity and substrate selectivity have long been pursued with sustained efforts.
Biological Physics Medical Physics
1 code implementation • 15 Dec 2020 • Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, Andre' Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter
In this short note, we describe our submission to the NeurIPS 2020 BBO challenge.
no code implementations • 15 Dec 2020 • Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao
Experimental results on two large-scale datasets support our hypothesis and show that our model can produce more accurate and commonsense-aware emotional responses and achieve better human ratings than state-of-the-art models that only specialize in one aspect.
no code implementations • 15 Dec 2020 • Peixiang Zhong, Yong liu, Hao Wang, Chunyan Miao
We study the problem of imposing conversational goals/keywords on open-domain conversational agents, where the agent is required to lead the conversation to a target keyword smoothly and fast.
no code implementations • 3 Dec 2020 • Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao
In this paper, we propose the FedHumor approach for the recognition of humorous content in a personalized manner through Federated Learning (FL).
1 code implementation • 2 Dec 2020 • Chaofeng Chen, Dihong Gong, Hao Wang, Zhifeng Li, Kwan-Yee K. Wong
Visualization of the attention maps shows that our spatial attention network can capture the key face structures well even for very low resolution faces (e. g., $16\times16$).
1 code implementation • 1 Dec 2020 • Hao Wang, Carlos Igncio Hernández Castellanos, Tome Eftimov
Assessing the empirical performance of Multi-Objective Evolutionary Algorithms (MOEAs) is vital when we extensively test a set of MOEAs and aim to determine a proper ranking thereof.
no code implementations • COLING 2020 • Hao Wang, Shuai Wang, Sahisnu Mazumder, Bing Liu, Yan Yang, Tianrui Li
After each sentiment classification task is learned, its knowledge is retained to help future task learning.
no code implementations • COLING 2020 • Hao Wang, Zhen Huang, Yong Dou, Yu Hong
Recent research mainly models the task as a sequence tagging problem and deal with all the argumentation components at word level.
no code implementations • CVPR 2021 • Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li
Detecting digital face manipulation has attracted extensive attention due to fake media's potential harms to the public.
no code implementations • 12 Nov 2020 • Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
In this paper, we study the cases where at the training phase the target domain data is unavailable and only well-labeled source domain data is available, called robust domain adaptation.
no code implementations • 9 Nov 2020 • Hao Wang, Bing Ruan
Recommender systems is one of the most successful AI technologies applied in the internet cooperations.
1 code implementation • 1 Nov 2020 • Bas van Stein, Hao Wang, Thomas Bäck
Neural Architecture Search (NAS) aims to optimize deep neural networks' architecture for better accuracy or smaller computational cost and has recently gained more research interests.
no code implementations • 26 Oct 2020 • Qing Yang, Hao Wang
However, how to scale up HVAC energy management for a group of users while persevering users' privacy remains a big challenge.
no code implementations • 26 Oct 2020 • Hao Wang, Gonzague Henri, Chin-Woo Tan, Ram Rajagopal
Electricity consumed by residential consumers counts for a significant part of global electricity consumption and utility companies can collect high-resolution load data thanks to the widely deployed advanced metering infrastructure.
no code implementations • 19 Oct 2020 • Hao Wang, Jia Zhang, Yingce Xia, Jiang Bian, Chao Zhang, Tie-Yan Liu
However, most existing studies overlook the code's intrinsic structural logic, which indeed contains a wealth of semantic information, and fails to capture intrinsic features of codes.
1 code implementation • 16 Oct 2020 • Shengkui Zhao, Trung Hieu Nguyen, Hao Wang, Bin Ma
With these data, three neural TTS models -- Tacotron2, Transformer and FastSpeech are applied for building bilingual and code-switched TTS.
no code implementations • 2 Oct 2020 • Chao Tao, Ji Qi, Weipeng Lu, Hao Wang, Haifeng Li
With the development of deep learning, supervised learning methods perform well in remote sensing images (RSIs) scene classification.
no code implementations • 26 Sep 2020 • Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin
We also show that the proposed contracts can reduce the system social cost by over 30%, compared with no storage investment benchmark.
Systems and Control Systems and Control
no code implementations • 6 Sep 2020 • Dengpan Ye, Chuanxi Chen, Changrui Liu, Hao Wang, Shunzhi Jiang
Our experimental results of some representative adversarial attacks on common datasets including ImageNet and popular models show that our method can detect all the attacks with high detection success rate effectively.
1 code implementation • ECCV 2020 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
We investigate an open research task of generating cooking instructions based on only food images and ingredients, which is similar to the image captioning task.
no code implementations • 20 Aug 2020 • Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong
In this paper, we first present CAESAR, which combines HE and SS to build secure large-scale sparse logistic regression model and achieves both efficiency and security.
no code implementations • 16 Aug 2020 • Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang
Communication overhead poses an important obstacle to distributed DNN training and draws increasing attention in recent years.
no code implementations • 31 Jul 2020 • Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen
Then, we build a novel computer-aided prescription model by learning the relation between observed symptoms and prescription drug.
no code implementations • 27 Jul 2020 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
Recipe generation from food images and ingredients is a challenging task, which requires the interpretation of the information from another modality.
4 code implementations • 8 Jul 2020 • Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
An R programming interface is provided for users preferring to have a finer control over the implemented functionalities.
1 code implementation • 7 Jul 2020 • Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee
Here we propose a novel framework called Active Semi-supervised Graph Neural Network (ASGN) by incorporating both labeled and unlabeled molecules.
no code implementations • ICML 2020 • Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang
Lying at the core of human intelligence, relational thinking is characterized by initially relying on innumerable unconscious percepts pertaining to relations between new sensory signals and prior knowledge, consequently becoming a recognizable concept or object through coupling and transformation of these percepts.
no code implementations • 3 Jul 2020 • Meng Cao, Hao-Zhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
Compared with the state-of-the-art facial image editing methods, our framework generates video portraits that are more photo-realistic and temporally smooth.
1 code implementation • ICML 2020 • Hao Wang, Hao He, Dina Katabi
Our empirical results show that our approach outperforms the state-of-the-art domain adaption methods on both synthetic and real-world medical datasets.
Ranked #1 on
Domain Adaptation
on Rotating MNIST
1 code implementation • 2 Jul 2020 • Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr
Bayesian Optimization (BO) is a surrogate-assisted global optimization technique that has been successfully applied in various fields, e. g., automated machine learning and design optimization.
no code implementations • ACL 2020 • Nianzu Ma, Sahisnu Mazumder, Hao Wang, Bing Liu
This paper studies the task of comparative preference classification (CPC).
1 code implementation • ICML 2020 • Hao Wang, Hao He, Dina Katabi
Our empirical results show that our approach outperforms the state-of-the-art domain adaption methods on both synthetic and real-world medical datasets.
1 code implementation • 21 Jun 2020 • Rick Boks, Hao Wang, Thomas Bäck
In swarm intelligence, Particle Swarm Optimization (PSO) and Differential Evolution (DE) have been successfully applied in many optimization tasks, and a large number of variants, where novel algorithm operators or components are implemented, has been introduced to boost the empirical performance.
1 code implementation • 11 Jun 2020 • Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
One of the most challenging problems in evolutionary computation is to select from its family of diverse solvers one that performs well on a given problem.
no code implementations • 10 Jun 2020 • Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
Moreover, we observe that the ``fast'' mutation scheme with its are power-law distributed mutation strengths outperforms standard bit mutation on complex optimization tasks when it is combined with crossover, but performs worse in the absence of crossover.
3 code implementations • 20 May 2020 • Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang
In this paper, we address the text and image matching in cross-modal retrieval of the fashion industry.
1 code implementation • WS 2020 • Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang
In e-commerce system, category prediction is to automatically predict categories of given texts.
1 code implementation • EMNLP 2020 • Peixiang Zhong, Chen Zhang, Hao Wang, Yong liu, Chunyan Miao
To this end, we propose a new task towards persona-based empathetic conversations and present the first empirical study on the impact of persona on empathetic responding.
no code implementations • 10 Apr 2020 • Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang
Nowadays, the utilization of the ever expanding amount of data has made a huge impact on web technologies while also causing various types of security concerns.
no code implementations • 3 Apr 2020 • Hao Wang, Cheng Deng, Fan Ma, Yi Yang
Actor and action video segmentation with language queries aims to segment out the expression referred objects in the video.
Ranked #7 on
Referring Expression Segmentation
on J-HMDB
no code implementations • 22 Mar 2020 • Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang
Specifically, with the supervision of original semantic knowledge, PDFD decomposes visual features into domain features and semantic ones, and then the semantic features are projected into common space as retrieval features for ZS-SBIR.
no code implementations • 9 Mar 2020 • Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc.
Ranked #5 on
Cross-Modal Retrieval
on Recipe1M
no code implementations • 2 Mar 2020 • Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu
Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life.