no code implementations • Findings (EMNLP) 2021 • MengNan Qi, Hao liu, Yuzhuo Fu, Ting Liu
With the increasing abundance of meeting transcripts, meeting summary has attracted more and more attention from researchers.
no code implementations • ECCV 2020 • Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao liu
MABNet is based on a novel Multibranch Adjustable Bottleneck (MAB) module, which is less demanding on parameters and computation.
no code implementations • EMNLP 2020 • Yunjie Ji, Hao liu, Bolei He, Xinyan Xiao, Hua Wu, Yanhua Yu
To this end, we propose a novel Diversified Multiple Instance Learning Network (D-MILN), which is able to achieve aspect-level sentiment classification with only document-level weak supervision.
no code implementations • 12 May 2022 • Wei Fan, Kunpeng Liu, Hao liu, HengShu Zhu, Hui Xiong, Yanjie Fu
Feature selection and instance selection are two important techniques of data processing.
1 code implementation • 7 May 2022 • Ao Wang, Wenxing Xu, Hanshi Sun, Ninghao Pu, Zijin Liu, Hao liu
In this paper, a binarized convolutional neural network suitable for ECG monitoring is proposed, which is hardware-friendly and more suitable for use in resource-constrained wearable devices.
no code implementations • 20 Apr 2022 • Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab
Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in the research and clinical context.
no code implementations • 18 Apr 2022 • Hao liu, Xinghua Jiang, Xin Li, Antai Guo, Deqiang Jiang, Bo Ren
The self-supervised Masked Image Modeling (MIM) schema, following "mask-and-reconstruct" pipeline of recovering contents from masked image, has recently captured the increasing interest in the multimedia community, owing to the excellent ability of learning visual representation from unlabeled data.
no code implementations • 27 Mar 2022 • Yasser Abduallah, Vania K. Jordanova, Hao liu, Qin Li, Jason T. L. Wang, Haimin Wang
Solar energetic particles (SEPs) are an essential source of space radiation, which are hazards for humans in space, spacecraft, and technology in general.
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.
no code implementations • 23 Mar 2022 • Hao liu, Ye Guo, Haitian Liu, Hongbin Sun
We consider the problem of how multiple areas should jointly cover congestion rents of internal and tie-lines in an interconnected power system.
no code implementations • 18 Mar 2022 • Hao liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Recently, the authors proposed a color elastica model, which minimizes both the surface area and elastica of the image manifold.
no code implementations • Findings (ACL) 2022 • Wei Li, Can Gao, guocheng niu, Xinyan Xiao, Hao liu, Jiachen Liu, Hua Wu, Haifeng Wang
In particular, we propose to conduct grounded learning on both images and texts via a sharing grounded space, which helps bridge unaligned images and texts, and align the visual and textual semantic spaces on different types of corpora.
no code implementations • 2 Mar 2022 • Hao liu, Hui Yuan, Junhui Hou, Raouf Hamzaoui, Wei Gao
We propose a generative adversarial network for point cloud upsampling, which can not only make the upsampled points evenly distributed on the underlying surface but also efficiently generate clean high frequency regions.
no code implementations • 27 Feb 2022 • Hanshi Sun, Ao Wang, Ninghao Pu, Zhiqing Li, Junguang Huang, Hao liu, Zhi Qi
In order to adapt to our compression method, we need a smaller and simpler network.
no code implementations • 3 Feb 2022 • Tao Liu, Shu Guo, Hao liu, Rui Kang, Mingyang Bai, Jiyang Jiang, Wei Wen, Xing Pan, Jun Tai, JianXin Li, Jian Cheng, Jing Jing, Zhenzhou Wu, Haijun Niu, Haogang Zhu, Zixiao Li, Yongjun Wang, Henry Brodaty, Perminder Sachdev, Daqing Li
Degeneration and adaptation are two competing sides of the same coin called resilience in the progressive processes of brain aging or diseases.
no code implementations • 1 Feb 2022 • Michael Laskin, Hao liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
We introduce Contrastive Intrinsic Control (CIC), an algorithm for unsupervised skill discovery that maximizes the mutual information between state-transitions and latent skill vectors.
1 code implementation • 31 Jan 2022 • Denis Yarats, David Brandfonbrener, Hao liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto
In this work, we propose Exploratory data for Offline RL (ExORL), a data-centric approach to offline RL.
no code implementations • ICLR 2022 • Hao liu, Huaping Liu
Learning multiple tasks sequentially without forgetting previous knowledge, called Continual Learning(CL), remains a long-standing challenge for neural networks.
no code implementations • 1 Jan 2022 • Hao liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
Learning operators between infinitely dimensional spaces is an important learning task arising in wide applications in machine learning, imaging science, mathematical modeling and simulations, etc.
1 code implementation • 23 Dec 2021 • Denghui Zhang, Zixuan Yuan, Hao liu, Xiaodong Lin, Hui Xiong
Graph walking based on reinforcement learning (RL) has shown great success in navigating an agent to automatically complete various reasoning tasks over an incomplete knowledge graph (KG) by exploring multi-hop relational paths.
no code implementations • 1 Dec 2021 • Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
Also, the word co-occurrences guided semantic learning of pre-training models can be largely augmented by entity-level association knowledge.
1 code implementation • NeurIPS 2021 • Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao liu, Dejing Dou
To be specific, GDW unrolls the loss gradient to class-level gradients by the chain rule and reweights the flow of each gradient separately.
no code implementations • 26 Nov 2021 • Hao liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren
We also show that the proposed NCGM can modulate collaborative pattern of different modalities conditioned on the context of intra-modality cues, which is vital for diversified table cases.
1 code implementation • 25 Nov 2021 • Qian Yin, Qingyong Hu, Hao liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo
Satellite video cameras can provide continuous observation for a large-scale area, which is important for many remote sensing applications.
1 code implementation • 25 Nov 2021 • Hao liu, Xinghua Jiang, Xin Li, Zhimin Bao, Deqiang Jiang, Bo Ren
For the sake of trade-off between efficiency and performance, a group of works merely perform SA operation within local patches, whereas the global contextual information is abandoned, which would be indispensable for visual recognition tasks.
no code implementations • 11 Nov 2021 • Jiaxi Zhang, Liwei Ni, Shenggen Zheng, Hao liu, Xiangfu Zou, Feng Wang, Guojie Luo
In this paper, we introduce Boolean sensitivity into Boolean matching and design several sensitivity-related signatures to enhance fast Boolean matching.
1 code implementation • 29 Oct 2021 • Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao liu, Dejing Dou
To be specific, GDW unrolls the loss gradient to class-level gradients by the chain rule and reweights the flow of each gradient separately.
1 code implementation • 28 Oct 2021 • Michael Laskin, Denis Yarats, Hao liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel
Deep Reinforcement Learning (RL) has emerged as a powerful paradigm to solve a range of complex yet specific control tasks.
no code implementations • 27 Oct 2021 • Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang, Honglei Lv, Hao liu
In this work, we propose a method to learn emoji representations called EmoGraph2vec and design an emoji-aware co-attention network that learns the mutual emotional semantics between text and emojis on short texts of social media.
no code implementations • 27 Oct 2021 • Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang, Honglei Lv, Hao liu
In this paper, we propose an emoji-based co-attention network that learns the mutual emotional semantics between text and emojis on microblogs.
no code implementations • 19 Oct 2021 • Yimin Wei, Hao liu, TingTing Xie, Qiuhong Ke, Yulan Guo
We test the effectiveness our PST2 with two different tasks on point cloud sequences, i. e., 4D semantic segmentation and 3D action recognition.
no code implementations • 29 Sep 2021 • Eric Zhao, De-An Huang, Hao liu, Zhiding Yu, Anqi Liu, Olga Russakovsky, Anima Anandkumar
In real-world applications, however, there are multiple protected attributes yielding a large number of intersectional protected groups.
no code implementations • 29 Sep 2021 • Zhuoran Xu, Hao liu, Bo Dong
In this paper we propose a novel idea, "There are free lunches" (TAFL) Theorem, which states that some algorithms can achieve the best performance in all possible tasks, in the condition that tasks are given in a specific order.
no code implementations • 17 Sep 2021 • Hongxuan Tang, Hao liu, Xinyan Xiao, Hua Wu
Based on this, we propose a multimodal sentiment analysis dataset, named baiDu Video Sentiment dataset (DuVideoSenti), and introduce a new sentiment system which is designed to describe the sentimental style of a video on recommendation scenery.
no code implementations • 7 Sep 2021 • Hao liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
Most of existing statistical theories on deep neural networks have sample complexities cursed by the data dimension and therefore cannot well explain the empirical success of deep learning on high-dimensional data.
no code implementations • 31 Aug 2021 • Hao liu, Pieter Abbeel
We introduce a new unsupervised pretraining objective for reinforcement learning.
no code implementations • 30 Aug 2021 • Lijie Wang, Hao liu, Shuyuan Peng, Hongxuan Tang, Xinyan Xiao, Ying Chen, Hua Wu, Haifeng Wang
Therefore, in order to systematically evaluate the factors for building trustworthy systems, we propose a novel and well-annotated sentiment analysis dataset to evaluate robustness and interpretability.
no code implementations • 9 Aug 2021 • Zhuoran Xu, Hao liu
Artificial Intelligence has been developed for decades with the achievement of great progress.
no code implementations • 4 Aug 2021 • Hao liu, Xue-Cheng Tai, Roland Glowinski
In our method, we decouple the full nonlinearity of Gaussian curvature from differential operators by introducing two matrix- and vector-valued functions.
no code implementations • 12 Jul 2021 • Weijia Zhang, Hao liu, Lijun Zha, HengShu Zhu, Ji Liu, Dejing Dou, Hui Xiong
Real estate appraisal refers to the process of developing an unbiased opinion for real property's market value, which plays a vital role in decision-making for various players in the marketplace (e. g., real estate agents, appraisers, lenders, and buyers).
no code implementations • 8 Jun 2021 • Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng
Although a few studies use multi-agent reinforcement learning to set up a cooperative game, they still suffer the following drawbacks: (1) They fail to avoid collusion solutions where all the advertisers involved in an auction collude to bid an extremely low price on purpose.
1 code implementation • 3 Jun 2021 • Hao liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, daxiang dong, Dejing Dou, Haoyi Xiong
In this work, we present JIZHI - a Model-as-a-Service system - that per second handles hundreds of millions of online inference requests to huge deep models with more than trillions of sparse parameters, for over twenty real-time recommendation services at Baidu, Inc.
no code implementations • 30 Apr 2021 • Junru Chen, Shiqing Geng, Yongluan Yan, Danyang Huang, Hao liu, Yadong Li
Vehicle Re-identification aims to identify a specific vehicle across time and camera view.
no code implementations • 30 Mar 2021 • Bo Dong, Hao liu, Yu Bai, Jinbiao Lin, Zhuoran Xu, Xinyu Xu, Qi Kong
Predicting future trajectories of surrounding obstacles is a crucial task for autonomous driving cars to achieve a high degree of road safety.
1 code implementation • NeurIPS 2021 • Hao liu, Pieter Abbeel
We introduce a new unsupervised pre-training method for reinforcement learning called APT, which stands for Active Pre-Training.
1 code implementation • CVPR 2021 • Zongyong Deng, Hao liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun
In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification.
1 code implementation • 15 Feb 2021 • Weijia Zhang, Hao liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Electric Vehicle (EV) has become a preferable choice in the modern transportation system due to its environmental and energy sustainability.
1 code implementation • 29 Jan 2021 • Haoran Xin, Xinjiang Lu, Tong Xu, Hao liu, Jingjing Gu, Dejing Dou, Hui Xiong
Second, a user-specific travel intention is formulated as an aggregation combining home-town preference and generic travel intention together, where the generic travel intention is regarded as a mixture of inherent intentions that can be learned by Neural Topic Model (NTM).
no code implementations • 28 Jan 2021 • Carter Blum, Hao liu, Hui Xiong
Electric vehicles have been rapidly increasing in usage, but stations to charge them have not always kept up with demand, so efficient routing of vehicles to stations is critical to operating at maximum efficiency.
no code implementations • 17 Jan 2021 • Anqi Liu, Hao liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar
Thus, we provide a principled approach to tackling the joint problem of causal discovery and latent variable inference.
no code implementations • 16 Jan 2021 • Ruocheng Guo, Pengchuan Zhang, Hao liu, Emre Kiciman
Nevertheless, we find that the performance of IRM can be dramatically degraded under \emph{strong $\Lambda$ spuriousness} -- when the spurious correlation between the spurious features and the class label is strong due to the strong causal influence of their common cause, the domain label, on both of them (see Fig.
no code implementations • 8 Jan 2021 • Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao liu, Hui Xiong
We design a novel multi-task learning model called MPR (short for Multi-level POI Recommendation), where each task aims to return the top-k POIs at a certain spatial granularity level.
no code implementations • 1 Jan 2021 • Hao liu, Pieter Abbeel
On DMControl suite, APT beats all baselines in terms of asymptotic performance and data efficiency and dramatically improves performance on tasks that are extremely difficult for training from scratch.
3 code implementations • ACL 2021 • Wei Li, Can Gao, guocheng niu, Xinyan Xiao, Hao liu, Jiachen Liu, Hua Wu, Haifeng Wang
Existed pre-training methods either focus on single-modal tasks or multi-modal tasks, and cannot effectively adapt to each other.
Ranked #2 on
Image Captioning
on COCO
no code implementations • 31 Dec 2020 • Jaan Kasak, James Creswell, Hao liu, Pavel Naselsky
We show that the total number density of non-polarized points of the E- and B-families is closely related to the presence of lensing and the tensor-to-scalar ratio $r$.
Cosmology and Nongalactic Astrophysics
no code implementations • 30 Dec 2020 • Jindong Han, Hao liu, HengShu Zhu, Hui Xiong, Dejing Dou
Specifically, we first propose a heterogeneous recurrent graph neural network to model the spatiotemporal autocorrelation among air quality and weather monitoring stations.
no code implementations • 24 Dec 2020 • Shu-Yu Liu, Shuang-Xing Zhu, Qi-Yi Wu, Chen Zhang, Peng-Bo Song, You-Guo Shi, Hao liu, Zi-Teng Liu, Jiao-Jiao Song, Fan-Ying Wu, Yin-Zou Zhao, Xiao-Fang Tang, Ya-Hua Yuan, Han Huang, Jun He, H. Y. Liu, Yu-Xia Duan, Jian-Qiao Meng
Two distinct carrier and coherent phonons relaxation processes were identified in the 5 K - 300 K range.
Materials Science Superconductivity
no code implementations • 13 Nov 2020 • Yu Yun, Xin Li, Arashdeep Singh Thind, Yuewei Yin, Hao liu, Qiang Li, Wenbin Wang, Alpha T. N Diaye, Corbyn Mellinger, Xuanyuan Jiang, Rohan Mishra, Xiaoshan Xu
The coupling between ferroelectric and magnetic orders in multiferroic materials and the nature of magnetoelectric (ME) effects are enduring experimental challenges.
Materials Science Other Condensed Matter
no code implementations • 3 Nov 2020 • Minshuo Chen, Hao liu, Wenjing Liao, Tuo Zhao
Our theory shows that deep neural networks are adaptive to the low-dimensional geometric structures of the covariates, and partially explains the success of deep learning for causal inference.
no code implementations • 2 Oct 2020 • Wei Fan, Kunpeng Liu, Hao liu, Yong Ge, Hui Xiong, Yanjie Fu
In this journal version, we propose a novel interactive and closed-loop architecture to simultaneously model interactive reinforcement learning (IRL) and decision tree feedback (DTF).
no code implementations • 2 Sep 2020 • Lufan Chang, Wenjing Zhuang, Richeng Wu, Sai Feng, Hao liu, Jing Yu, Jia Ding, Ziteng Wang, Jia-Qi Zhang
Our platform is consists of a radiomics module and a deep learning module.
no code implementations • 27 Aug 2020 • Wei Fan, Kunpeng Liu, Hao liu, Pengyang Wang, Yong Ge, Yanjie Fu
Motivated by such a computational dilemma, this study is to develop a novel feature space navigation method.
3 code implementations • 27 Aug 2020 • Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao liu, Jason T. L. Wang, Haimin Wang
Deep learning has drawn a lot of interest in recent years due to its effectiveness in processing big and complex observational data gathered from diverse instruments.
no code implementations • 19 Aug 2020 • Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski
Here, we introduce an addition to the Polyakov action for color images that minimizes the color manifold curvature.
no code implementations • IEEE 2020 • Hao liu, Y ulan Guo, Y anni Ma, Yinjie Lei, and Gongjian Wen
In this paper, we propose a simple yet effective Point Context Encoding (PointCE) module to capture semantic contexts of a point cloud and adaptively highlight intermediate feature maps.
1 code implementation • 17 Jul 2020 • Hao Liu, Pieter Abbeel
In this paper we show that through the perspective of hybrid discriminative-generative training of energy-based models we can make a direct connection between contrastive learning and supervised learning.
no code implementations • 11 Jul 2020 • Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong
Then, we introduce a general route search algorithm coupled with an efficient station binding method for efficient route candidate generation.
no code implementations • IEEE 2020 • Y anni Ma, Y ulan Guo, Hao liu, Yinjie Lei
In this paper, we propose a Point Global Context Reasoning (PointGCR) module to capture global contextual information along the channel dimension.
5 code implementations • ACL 2020 • Hao Tian, Can Gao, Xinyan Xiao, Hao liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
In particular, the prediction of aspect-sentiment pairs is converted into multi-label classification, aiming to capture the dependency between words in a pair.
no code implementations • 8 May 2020 • Hao Liu, Yan Xu, Jiasheng Wang, Ju Jing, Chang Liu, Jason T. L. Wang, Haimin Wang
By learning the latent patterns in the training data prepared by the physics-based ME tool, the proposed CNN method is able to infer vector magnetic fields from the Stokes profiles of GST/NIRIS.
Solar and Stellar Astrophysics
no code implementations • 26 Feb 2020 • Hao Liu, Antai Guo, Deqiang Jiang, Yiqing Hu, Bo Ren
Recently, a series of decomposition-based scene text detection methods has achieved impressive progress by decomposing challenging text regions into pieces and linking them in a bottom-up manner.
2 code implementations • 22 Feb 2020 • Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang
We present two recurrent neural networks (RNNs), one based on gated recurrent units and the other based on long short-term memory, for predicting whether an active region (AR) that produces an M- or X-class flare will also produce a coronal mass ejection (CME).
no code implementations • 22 Jan 2020 • Yuchen He, Sung Ha Kang, Hao Liu
We propose a variational functional and fast algorithms to reconstruct implicit surface from point cloud data with a curvature constraint.
no code implementations • 22 Jan 2020 • Hao Liu, Wenjing Liao
The estimation error of this variance quantity is also given in this paper.
3 code implementations • 27 Dec 2019 • Yulan Guo, Hanyun Wang, Qingyong Hu, Hao liu, Li Liu, Mohammed Bennamoun
To stimulate future research, this paper presents a comprehensive review of recent progress in deep learning methods for point clouds.
no code implementations • 20 Dec 2019 • Hao Liu, Hui Yuan, Qi Liu, Junhui Hou, Ju Liu
Point cloud based 3D visual representation is becoming popular due to its ability to exhibit the real world in a more comprehensive and immersive way.
no code implementations • 16 Dec 2019 • Congcong Zhu, Hao liu, Zhenhua Yu, Xuehong Sun
In this paper, we propose a spatial-temporal relational reasoning networks (STRRN) approach to investigate the problem of omni-supervised face alignment in videos.
1 code implementation • 24 Nov 2019 • Weijia Zhang, Hao liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
However, it is a non-trivial task for predicting citywide parking availability because of three major challenges: 1) the non-Euclidean spatial autocorrelation among parking lots, 2) the dynamic temporal autocorrelation inside of and between parking lots, and 3) the scarcity of information about real-time parking availability obtained from real-time sensors (e. g., camera, ultrasonic sensor, and GPS).
no code implementations • 13 Nov 2019 • Anqi Liu, Hao liu, Anima Anandkumar, Yisong Yue
Ours is a general approach that can be used to augment any existing OPE method that utilizes the direct method.
no code implementations • 25 Sep 2019 • Hao liu, Richard Socher, Caiming Xiong
In this work, we propose a guided adaptive credit assignment method to do effectively credit assignment for policy gradient methods.
1 code implementation • 24 Jun 2019 • Feng Dai, Hao liu, Yike Ma, Juan Cao, Qiang Zhao, Yongdong Zhang
The key component of our network is the dense dilated convolution block, in which each dilation layer is densely connected with the others to preserve information from continuously varied scales.
no code implementations • CVPR 2019 • Hao Liu, Xiangyu Zhu, Zhen Lei, Stan Z. Li
Training large-scale unbalanced data is the central topic in face recognition.
2 code implementations • 17 May 2019 • Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang
The essence of our approach is to model data samples in an AR as time series and use LSTMs to capture temporal information of the data samples.
no code implementations • ICLR 2019 • Xuanyang Zhang, Hao liu, Zhanxing Zhu, Zenglin Xu
Deep neural networks have achieved outstanding performance in many real-world applications with the expense of huge computational resources.
no code implementations • ICLR 2019 • Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
We propose a novel method called competitive experience replay, which efficiently supplements a sparse reward by placing learning in the context of an exploration competition between a pair of agents.
no code implementations • 20 Nov 2018 • Hao Liu, Jingjing Wu, Jianguo Jiang, Meibin Qi, Bo Ren
Attribute recognition has become crucial because of its wide applications in many computer vision tasks, such as person re-identification.
1 code implementation • NeurIPS 2018 • Dilin Wang, Hao liu, Qiang Liu
Variational inference with {\alpha}-divergences has been widely used in modern probabilistic machine learning.
no code implementations • 27 Sep 2018 • Yihao Feng, Hao liu, Jian Peng, Qiang Liu
Deep reinforcement learning has achieved remarkable successes in solving various challenging artificial intelligence tasks.
no code implementations • COLING 2018 • Yanchao Hao, Hao liu, Shizhu He, Kang Liu, Jun Zhao
Question Answering over Knowledge Bases (KB-QA), which automatically answer natural language questions based on the facts contained by a knowledge base, is one of the most important natural language processing (NLP) tasks.
no code implementations • 8 Jun 2018 • Xiangyu Zhu, Hao liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guo-Jun Qi, Stan Z. Li
In this paper, we propose a deep learning based large-scale bisample learning (LBL) method for IvS face recognition.
no code implementations • 25 Dec 2017 • Bai Li, Changyou Chen, Hao liu, Lawrence Carin
Significant success has been realized recently on applying machine learning to real-world applications.
no code implementations • WS 2017 • Jianbo Zhao, Hao liu, Zuyi Bao, Xiaopeng Bai, Si Li, Zhiqing Lin
Detection and correction of Chinese grammatical errors have been two of major challenges for Chinese automatic grammatical error diagnosis. This paper presents an N-gram model for automatic detection and correction of Chinese grammatical errors in NLPTEA 2017 task.
2 code implementations • 30 Oct 2017 • Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu
Policy gradient methods have achieved remarkable successes in solving challenging reinforcement learning problems.
3 code implementations • 13 Oct 2017 • Oscar Li, Hao liu, Chaofan Chen, Cynthia Rudin
This architecture contains an autoencoder and a special prototype layer, where each unit of that layer stores a weight vector that resembles an encoded training input.
1 code implementation • NeurIPS 2017 • Zhe Gan, Liqun Chen, Wei-Yao Wang, Yunchen Pu, Yizhe Zhang, Hao liu, Chunyuan Li, Lawrence Carin
The generators are designed to learn the two-way conditional distributions between the two domains, while the discriminators implicitly define a ternary discriminative function, which is trained to distinguish real data pairs and two kinds of fake data pairs.
Image-to-Image Translation
Semi-Supervised Image Classification
+1
5 code implementations • NeurIPS 2017 • Chunyuan Li, Hao liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin
We investigate the non-identifiability issues associated with bidirectional adversarial training for joint distribution matching.
no code implementations • ICCV 2017 • Hao Liu, Jiashi Feng, Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan
We investigate the problem of person search in the wild in this work.
Ranked #4 on
Person Re-Identification
on CUHK-SYSU
1 code implementation • 13 Jun 2017 • Hao liu, Zequn Jie, Karlekar Jayashree, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng
Video based person re-identification plays a central role in realistic security and video surveillance.
no code implementations • 24 May 2017 • Hao Liu, Haoli Bai, Lirong He, Zenglin Xu
Inheriting these advantages of stochastic neural sequential models, we propose a structured and stochastic sequential neural network, which models both the long-term dependencies via recurrent neural networks and the uncertainty in the segmentation and labels via discrete random variables.
no code implementations • 17 Apr 2017 • Bo Zhao, Xiao Wu, Zhi-Qi Cheng, Hao liu, Zequn Jie, Jiashi Feng
This paper addresses a challenging problem -- how to generate multi-view cloth images from only a single view input.
no code implementations • 21 Jan 2017 • Manjesh K. Hanawal, Hao liu, Henghui Zhu, Ioannis Ch. Paschalidis
We assume that the policy belongs to a class of parameterized policies which are defined using features associated with the state-action pairs.
no code implementations • 1 Jan 2017 • Hao Liu, Zequn Jie, Karlekar Jayashree, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng
Video based person re-identification plays a central role in realistic security and video surveillance.
no code implementations • 15 Dec 2016 • Hao Liu, Yang Yang, Fumin Shen, Lixin Duan, Heng Tao Shen
Along with the prosperity of recurrent neural network in modelling sequential data and the power of attention mechanism in automatically identify salient information, image captioning, a. k. a., image description, has been remarkably advanced in recent years.
1 code implementation • 9 Dec 2016 • Hanbyul Joo, Tomas Simon, Xulong Li, Hao liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
The core challenges in capturing social interactions are: (1) occlusion is functional and frequent; (2) subtle motion needs to be measured over a space large enough to host a social group; (3) human appearance and configuration variation is immense; and (4) attaching markers to the body may prime the nature of interactions.
no code implementations • 14 Jun 2016 • Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, Shuicheng Yan
The CAN model is able to learn which parts of images are relevant for discerning persons and automatically integrates information from different parts to determine whether a pair of images belongs to the same person.
no code implementations • ICCV 2015 • Hanbyul Joo, Hao liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh
We present an approach to capture the 3D structure and motion of a group of people engaged in a social interaction.