no code implementations • 10 Mar 2024 • Shouheng Li, Dongwoo Kim, Qing Wang
In this work, we propose to study the generalization of GNNs through a novel perspective - analyzing the entropy of graph homomorphism.
1 code implementation • 10 Mar 2024 • Shouheng Li, Dongwoo Kim, Qing Wang
Specifically, we propose a new vertex colouring scheme and demonstrate that classical search algorithms can efficiently compute graph representations that extend beyond the 1-WL.
no code implementations • 5 Mar 2024 • Zhiyuan Chang, Mingyang Li, Junjie Wang, Cheng Li, Qing Wang
Visual entailment (VE) is a multimodal reasoning task consisting of image-sentence pairs whereby a promise is defined by an image, and a hypothesis is described by a sentence.
no code implementations • 2 Mar 2024 • Zhiyuan Chang, Mingyang Li, Junjie Wang, Cheng Li, Boyu Wu, Fanjiang Xu, Qing Wang
To this end, we propose PEELING, a text perturbation approach via image-aware property reduction for adversarial testing of the VG model.
no code implementations • 22 Feb 2024 • Yuepei Li, Kang Zhou, Qiao Qiao, Qing Wang, Qi Li
This paper delves into Named Entity Recognition (NER) under the framework of Distant Supervision (DS-NER), where the main challenge lies in the compromised quality of labels due to inherent errors such as false positives, false negatives, and positive type errors.
no code implementations • 14 Feb 2024 • Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, Yang Liu
With the development of LLMs, the security threats of LLMs are getting more and more attention.
1 code implementation • 31 Jan 2024 • Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu
By employing one shared BERT-type network to refine textual and cross-modal features simultaneously, SNP is lightweight and could support various downstream applications.
no code implementations • 13 Jan 2024 • Hefeng Wu, Guangzhi Ye, Ziyang Zhou, Ling Tian, Qing Wang, Liang Lin
Specifically, an instance-view data hallucination module hallucinates each sample of a novel class to generate new data by employing local semantic correlated attention and global semantic feature fusion derived from base classes.
no code implementations • 14 Dec 2023 • Asela Hevapathige, Qing Wang
In this work, we study the expressive power of graph neural networks through the lens of graph partitioning.
no code implementations • 13 Dec 2023 • Bowen Zhao, Changkai Ji, Yuejie Zhang, Wen He, Yingwen Wang, Qing Wang, Rui Feng, Xiaobo Zhang
With the Generative Pre-trained Transformer 3. 5 (GPT-3. 5) exhibiting remarkable reasoning and comprehension abilities in Natural Language Processing (NLP), most Question Answering (QA) research has primarily centered around general QA tasks based on GPT, neglecting the specific challenges posed by Complex Table QA.
no code implementations • 7 Dec 2023 • Huan Zhao, Li Zhang, Yue Li, Yannan Wang, Hongji Wang, Wei Rao, Qing Wang, Lei Xie
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems.
1 code implementation • 1 Dec 2023 • Qing Wang, Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li
We also identify the limitation of noise-contrastive estimation (NCE) loss for relation representation learning and propose to apply margin loss for sentence pairs.
1 code implementation • 30 Nov 2023 • Qing Wang, Haojie Jia, Wenfei Song, Qi Li
In this paper, we observe and address the challenges of the coordination recognition task.
no code implementations • 2 Oct 2023 • Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang
The main idea is to enhance the model's 2D perception of 3D geometry by learning a normal-adapted diffusion model and a normal-aligned diffusion model.
no code implementations • 28 Sep 2023 • Xiang Lyu, Yuhang Cao, Qing Wang, JingJing Yin, Yuguang Yang, Pengpeng Zou, Yanni Hu, Heng Lu
Speaker-attributed automatic speech recognition (SA-ASR) improves the accuracy and applicability of multi-speaker ASR systems in real-world scenarios by assigning speaker labels to transcribed texts.
1 code implementation • 23 Sep 2023 • Rongxuan Tan, Qing Wang, Xueyan Wang, Chao Yan, Yang Sun, Youyang Feng
We design a multi-scale windows PatchMatch (mPM) to obtain reliable depth of untextured areas.
1 code implementation • 20 Sep 2023 • Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi
We thereby present a new Triplet Partial Margin Contrastive Learning (TPM-CL) module to construct partial order triplet samples by automatically generating fine-grained hard negatives for matched text-video pairs.
Ranked #4 on Video Retrieval on MSR-VTT-1kA
no code implementations • 20 Sep 2023 • Chen Jiang, Kaiming Huang, Sifeng He, Xudong Yang, Wei zhang, Xiaobo Zhang, Yuan Cheng, Lei Yang, Qing Wang, Furong Xu, Tan Pan, Wei Chu
SSAN is based on two newly proposed modules in video retrieval: (1) An efficient Self-supervised Keyframe Extraction (SKE) module to reduce redundant frame features, (2) A robust Similarity Pattern Detection (SPD) module for temporal alignment.
no code implementations • 11 Sep 2023 • Haotian Wang, Yuxuan Xi, Hang Chen, Jun Du, Yan Song, Qing Wang, Hengshun Zhou, Chenxi Wang, Jiefeng Ma, Pengfei Hu, Ya Jiang, Shi Cheng, Jie Zhang, Yuzhe Weng
Three different structures based on attention-guided feature gathering (AFG) are designed for deep feature fusion.
2 code implementations • 25 Aug 2023 • Yiyang Yao, Peng Liu, Tiancheng Zhao, Qianqian Zhang, Jiajia Liao, Chunxin Fang, Kyusong Lee, Qing Wang
Extensive experimental results show that existing top OVD models all fail on the new tasks except for simple object types, demonstrating the value of the proposed dataset in pinpointing the weakness of current OVD models and guiding future research.
Ranked #1 on Negation on OVDEval
no code implementations • 17 Aug 2023 • Junkai Qian, Yuning Jiang, Xin Liu, Qing Wang, Ting Wang, Yuanming Shi, Wei Chen
To effectively learn the optimal EV charging control strategy, a federated deep reinforcement learning algorithm named FedSAC is further proposed.
no code implementations • CVPR 2023 • Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Qing Wang
In principle, our new implicit neural camera model has the potential to benefit a wide array of other inverse imaging tasks.
no code implementations • CVPR 2023 • Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang
To solve this problem, we propose LIRF to aggregate the information from conical frustums to construct a ray.
no code implementations • 12 Apr 2023 • Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao
We then define an adjacency space for mismatched states and design a plug-and-play module for value iteration, which enables agents to infer more precise returns.
no code implementations • The Eleventh International Conference on Learning Representations 2023 • Qing Wang, Dillon Chen, Asiri Wijesinghe, Shouheng Li, Muhammad Farhan
The expressive power of Graph Neural Networks (GNNs) is fundamental for understanding their capabilities and limitations, i. e., what graph properties can or cannot be learnt by a GNN.
no code implementations • CVPR 2023 • Qi Zhang, Hongdong Li, Qing Wang
Despite the proliferation of ultra wide-angle lenses on smartphone cameras, such lenses often come with severe image distortion (e. g. curved linear structure, unnaturally skewed faces).
1 code implementation • CVPR 2023 • Tian Gan, Qing Wang, Xingning Dong, Xiangyuan Ren, Liqiang Nie, Qingpei Guo
Though there are certain methods studying the Chinese video-text pre-training, they pre-train their models on private datasets whose videos and text are unavailable.
1 code implementation • 29 Dec 2022 • Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu
In this paper, we build the first evolving object counting dataset and propose a unified object counting network as the first attempt to address this task.
no code implementations • 29 Nov 2022 • Quan-Lin Li, Yan-Xia Chang, Qing Wang
We believe that the basic theory with mathematical methods, algorithms and simulations of blockchain systems discussed in this paper will strongly support future development and continuous innovation of blockchain technology.
no code implementations • 16 Nov 2022 • Dongfang Zhao, Shisong Li, Fuping Wang, Wei Zhao, Songling Huang, Qing Wang
The diffusion of nonlinear loads and power electronic devices in power systems deteriorates the signal environment and increases the difficulty of measuring harmonic phasors.
no code implementations • 6 Nov 2022 • Jixun Yao, Yi Lei, Qing Wang, Pengcheng Guo, Ziqian Ning, Lei Xie, Hai Li, Junhui Liu, Danming Xie
Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios.
no code implementations • 6 Nov 2022 • Jixun Yao, Qing Wang, Yi Lei, Pengcheng Guo, Lei Xie, Namin Wang, Jie Liu
By directly scaling the formant and F0, the speaker distinguishability degradation of the anonymized speech caused by the introduction of other speakers is prevented.
no code implementations • 26 Oct 2022 • Qing Wang, Hang Chen, Ya Jiang, Zhe Wang, Yuyang Wang, Jun Du, Chin-Hui Lee
In this paper, we propose a deep learning based multi-speaker direction of arrival (DOA) estimation with audio and visual signals by using permutation-free loss function.
no code implementations • 26 Oct 2022 • Bowen Pang, Huan Zhao, Gaosheng Zhang, Xiaoyue Yang, Yang Sun, Li Zhang, Qing Wang, Lei Xie
In this challenge, we explore three kinds of typical speaker diarization systems, which are spectral clustering(SC) based diarization, target-speaker voice activity detection(TS-VAD) and end-to-end neural diarization(EEND) respectively.
no code implementations • 24 Sep 2022 • Jixun Yao, Qing Wang, Li Zhang, Pengcheng Guo, Yuhao Liang, Lei Xie
Our system consists of four modules, including feature extractor, acoustic model, anonymization module, and neural vocoder.
no code implementations • 21 Sep 2022 • Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li
Modern meta-reinforcement learning (Meta-RL) methods are mainly developed based on model-agnostic meta-learning, which performs policy gradient steps across tasks to maximize policy performance.
1 code implementation • 14 Sep 2022 • Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang
Then, we treat the comment of the retrieved code as the initial draft and input it with the code and keywords into DECOM to start the iterative deliberation process.
no code implementations • 27 Aug 2022 • Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li
Federated learning (FL) is a new distributed machine learning framework that can achieve reliably collaborative training without collecting users' private data.
no code implementations • 19 Aug 2022 • Ghodai Abdelrahman, Sherif Abdelfattah, Qing Wang, Yu Lin
This is known as the \emph{Knowledge Tracing} problem in the literature.
no code implementations • 6 Jun 2022 • Shouheng Li, Dongwoo Kim, Qing Wang
While a growing body of literature has been studying new Graph Neural Networks (GNNs) that work on both homophilic and heterophilic graphs, little has been done on adapting classical GNNs to less-homophilic graphs.
Ranked #26 on Node Classification on Actor
2 code implementations • 20 Apr 2022 • Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, WangMeng Zuo, Pavel Ostyakov, Vyal Dmitry, Shakarim Soltanayev, Chervontsev Sergey, Zhussip Magauiya, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
This challenge includes three tracks.
no code implementations • 1 Apr 2022 • Qi Zhang, Xin Huang, Ying Feng, Xue Wang, Hongdong Li, Qing Wang
A two-stage network is developed for novel view synthesis.
no code implementations • 1 Apr 2022 • Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang
Existing light field representations, such as epipolar plane image (EPI) and sub-aperture images, do not consider the structural characteristics across the views, so they usually require additional disparity and spatial structure cues for follow-up tasks.
no code implementations • 30 Mar 2022 • Weizheng Wang, Marco Zuniga, Qing Wang
In this work, we analyze cardiac signals collected in more realistic (uncontrolled) scenarios and show that their high signal variability (i. e., irregularity) makes it harder to obtain stable and distinct user features.
no code implementations • 25 Mar 2022 • Xiaofeng Liu, Qing Wang, Yunfeng Shao, Yinchuan Li
To this end, we propose a personalized FL algorithm using a hierarchical proximal mapping based on the moreau envelop, named sparse federated learning with hierarchical personalized models (sFedHP), which significantly improves the global model performance facing diverse data.
1 code implementation • 17 Mar 2022 • Qing Wang, Jiaming Zhang, Kailun Yang, Kunyu Peng, Rainer Stiefelhagen
While detector-based methods coupled with feature descriptors struggle in low-texture scenes, CNN-based methods with a sequential extract-to-match pipeline, fail to make use of the matching capacity of the encoder and tend to overburden the decoder for matching.
no code implementations • 7 Mar 2022 • Qing Wang, Jun Du, Siyuan Zheng, Yunqing Li, Yajian Wang, Yuzhong Wu, Hu Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Yannan Wang, Chin-Hui Lee
In this paper, we propose two techniques, namely joint modeling and data augmentation, to improve system performances for audio-visual scene classification (AVSC).
1 code implementation • CVPR 2022 • Sifeng He, Xudong Yang, Chen Jiang, Gang Liang, Wei zhang, Tan Pan, Qing Wang, Furong Xu, Chunguang Li, Jingxiong Liu, Hui Xu, Kaiming Huang, Yuan Cheng, Feng Qian, Xiaobo Zhang, Lei Yang
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset.
1 code implementation • 10 Jan 2022 • Qing Wang, Jia Zhu, Hongji Shu, Kwame Omono Asamoah, Jianyang Shi, Cong Zhou
Large-scale pre-trained models have brought a new trend to this problem.
Multi Label Text Classification Multi-Label Text Classification +1
no code implementations • 8 Jan 2022 • Ghodai Abdelrahman, Qing Wang, Bernardo Pereira Nunes
A human teacher can track the knowledge of students to customize the teaching on students needs.
no code implementations • CVPR 2022 • Zexing Du, Xue Wang, Guoqing Zhou, Qing Wang
To deal with the great number of untrimmed videos produced every day, we propose an efficient unsupervised action segmentation method by detecting boundaries, named action boundary detection (ABD).
no code implementations • 5 Dec 2021 • Qing Wang, Qing Liu, Zihao Zhang, HaoYu Fang, Xi Zheng
Artificial intelligence (AI) based device identification improves the security of the internet of things (IoT), and accelerates the authentication process.
no code implementations • 2 Dec 2021 • Zhongyun Hu, Ntumba Elie Nsampi, Xue Wang, Qing Wang
Before solving these two sub-problems, we first learn a shading-aware illumination descriptor via a well-designed neural rendering framework, of which the key is a shading bases module that generates multiple shading bases from the foreground image.
no code implementations • CVPR 2022 • Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
The key to our method is to model the physical imaging process, which dictates that the radiance of a scene point transforms to a pixel value in the LDR image with two implicit functions: a radiance field and a tone mapper.
no code implementations • 13 Nov 2021 • Ghodai Abdelrahman, Qing Wang
In this paper, we propose a novel method, called Knowledge Augmented Data Teaching (KADT), which can optimize a data teaching strategy for a student model by tracing its knowledge progress over multiple learning concepts in a learning task.
1 code implementation • 6 Oct 2021 • Asiri Wijesinghe, Qing Wang, Stephen Gould
This framework provides a novel optimal transport distance metric, namely Regularized Wasserstein (RW) discrepancy, which can preserve both features and structure of graphs via Wasserstein distances on features and their local variations, local barycenters and global connectivity.
no code implementations • 29 Sep 2021 • Liyue Zhang, Qing Wang, Haozhi Wang
Intelligent reflecting surface (IRS) are able to amend radio propagation condition tasks on account of its functional properties in phase shift optimizing.
1 code implementation • ICLR 2022 • Asiri Wijesinghe, Qing Wang
To elaborate this framework, we propose a novel neural model, called GraphSNN, and prove that this model is strictly more expressive than the Weisfeiler Lehman test in distinguishing graph structures.
no code implementations • 18 Aug 2021 • Ghodai Abdelrahman, Qing Wang
Further, this model has the capability of learning relationships between latent concepts from a dynamic latent concept graph in light of a student's evolving knowledge states.
no code implementations • 12 Aug 2021 • Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, Qing Wang
In the second stage, the deep visual, shallow visual, and text features are extracted for fusion to identify the category blocks of documents.
no code implementations • 12 Jul 2021 • Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng
By incorporating an approximated L1-norm and the correlation between client models and global model into standard FL loss function, the performance on statistical diversity data is improved and the communicational and computational loads required in the network are reduced compared with non-sparse FL.
no code implementations • 12 Jul 2021 • Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng
Structured pruning is an effective compression technique to reduce the computation of neural networks, which is usually achieved by adding perturbations to reduce network parameters at the cost of slightly increasing training loss.
no code implementations • 3 Jul 2021 • Hao Yen, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Qing Wang, Yuyang Wang, Xianjun Xia, Yuanjun Zhao, Yuzhong Wu, Yannan Wang, Jun Du, Chin-Hui Lee
We propose a novel neural model compression strategy combining data augmentation, knowledge transfer, pruning, and quantization for device-robust acoustic scene classification (ASC).
no code implementations • 1 Jul 2021 • Qing Wang
In today's business marketplace, many high-tech Internet enterprises constantly explore innovative ways to provide optimal online user experiences for gaining competitive advantages.
1 code implementation • 17 Jun 2021 • Fangbing Liu, Qing Wang
Few-shot learning aims to learn a classifier using a few labelled instances for each class.
1 code implementation • 27 May 2021 • Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen
Our framework provides the functionality to control the movement of the drone with simple arm gestures and to follow the user while keeping a safe distance.
no code implementations • 26 Apr 2021 • Tao Ni, Qing Wang, Gabriela Ferraro
Extracting multiple relations from text sentences is still a challenge for current Open Relation Extraction (Open RE) tasks.
1 code implementation • 21 Apr 2021 • Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, XiaoYu Zhang, Linjie Zhou, Sixin Lin, Ru Wang
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.
no code implementations • 26 Mar 2021 • Sean Li, Dongwoo Kim, Qing Wang
The proposed model is shown to generalize well to both homophilic and heterophilic graphs.
no code implementations • Sensors 2021 • Xiaotao Shao, Qing Wang, Wei Yang, Yun Chen, Yi Xie, Yan Shen, Zhongli Wang
MFPN includes two modules, namely double feature pyramid network (FPN) integrated with ResNet (DFR) and repulsion loss of minimum (RLM).
1 code implementation • 26 Feb 2021 • Jingyong Hou, Li Zhang, Yihui Fu, Qing Wang, Zhanheng Yang, Qijie Shao, Lei Xie
This paper describes the system developed by the NPU team for the 2020 personalized voice trigger challenge.
no code implementations • 17 Feb 2021 • Jinho Hwang, Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar, Michael Nidd
The process of continuous integration/deployment (CICD) in cloud connects developers who need to deliver value faster and more transparently with site reliability engineers (SREs) who need to manage applications reliably.
no code implementations • 28 Jan 2021 • Dmitrii Kochkov, Jamie A. Smith, Ayya Alieva, Qing Wang, Michael P. Brenner, Stephan Hoyer
Numerical simulation of fluids plays an essential role in modeling many physical phenomena, such as weather, climate, aerodynamics and plasma physics.
no code implementations • 23 Jan 2021 • Yaning Li, Xue Wang, Hao Zhu, Guoqing Zhou, Qing Wang
Based on these two observations, we propose a learning-based FSS reconstruction approach for one-time aliasing removing over the whole focal stack.
no code implementations • 18 Jan 2021 • Qing-Sen Chen, Hui-Feng Fu, Yong-Liang Ma, Qing Wang
We derive the chiral effective Lagrangian for excited heavy-light mesons from QCD under proper approximations.
High Energy Physics - Phenomenology
no code implementations • 1 Jan 2021 • Shouheng Li, Dongwoo Kim, Qing Wang
The proposed model has been shown to generalize well to both assortative and disassortative graphs.
no code implementations • 18 Dec 2020 • Jingyu Shao, Qing Wang, Asiri Wijesinghe, Erhard Rahm
Entity resolution targets at identifying records that represent the same real-world entity from one or more datasets.
no code implementations • 7 Dec 2020 • Qing-Sen Chen, Hui-Feng Fu, Yong-Liang Ma, Qing Wang
The low energy constants in the effective Lagrangian are expressed in terms of the light quark self-energy and heavy quark mass $m_Q$.
High Energy Physics - Phenomenology
no code implementations • COLING 2020 • Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li
Emotion lexicons have been shown effective for emotion classification (Baziotis et al., 2018).
1 code implementation • 13 Nov 2020 • Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen
In this paper, we develop a computation efficient yet accurate network based on the proposed attentive auxiliary features (A$^2$F) for SISR.
no code implementations • 8 Nov 2020 • Koen Oostermeijer, Qing Wang, Jun Du
One of the strengths of traditional convolutional neural networks (CNNs) is their inherent translational invariance.
no code implementations • 15 Oct 2020 • Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-fan Chen, John Anderson
Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness.
2 code implementations • 27 Sep 2020 • Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P. S, Melvin Kuriakose, Jiji C. V, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng
The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i. e., light source position).
no code implementations • 28 Jan 2020 • Shoubin Li, Wenzao Cui, Yujiang Liu, Xuran Ming, Jun Hu, YuanzheHu, Qing Wang
Pre-trained models such as BERT are widely used in NLP tasks and are fine-tuned to improve the performance of various NLP tasks consistently.
1 code implementation • NeurIPS 2019 • Qing Wang, Yingru Li, Jiechao Xiong, Tong Zhang
In deep reinforcement learning, policy optimization methods need to deal with issues such as function approximation and the reuse of off-policy data.
no code implementations • 29 Oct 2019 • Ghodai Abdelrahman, Qing Wang
Although these deep learning models have shown promising results, they have limitations: either lack the ability to go deeper to trace how specific concepts in a knowledge state are mastered by a student, or fail to capture long-term dependencies in an exercise sequence.
1 code implementation • NeurIPS 2019 • Asiri Wijesinghe, Qing Wang
We propose a novel spectral convolutional neural network (CNN) model on graph structured data, namely Distributed Feedback-Looped Networks (DFNets).
Ranked #1 on Node Classification on NELL
no code implementations • 10 Sep 2019 • Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Yaoming Zhu, Ming Zhou, Wei-Nan Zhang, Qing Wang, Yong Yu
Although existing works formulate this problem into a centralized learning with decentralized execution framework, which avoids the non-stationary problem in training, their decentralized execution paradigm limits the agents' capability to coordinate.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 9 Sep 2019 • Jingyu Shao, Qing Wang, Fangbing Liu
However, current learning-based active learning approaches still require sufficient training data so as to generalize meta-learning models for active learning.
2 code implementations • 20 Jul 2019 • Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang
We introduce Arena, a toolkit for multi-agent reinforcement learning (MARL) research.
no code implementations • 15 May 2019 • Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, Liang Lin
Finally, a GCC module is applied to model the correlation between all regions by computing a global correlation feature as a weighted sum of all regional features, with the weights being calculated as the similarity between the corresponding region pairs.
no code implementations • 22 Apr 2019 • Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin
Specifically, by analyzing the symbiosis and mutual exclusion of AUs in various facial expressions, we organize the facial AUs in the form of structured knowledge-graph and integrate a Gated Graph Neural Network (GGNN) in a multi-scale CNN framework to propagate node information through the graph for generating enhanced AU representation.
no code implementations • 16 Apr 2019 • Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, Ville Vestman, Jing Huang, Guohong Ding, Hanwu Sun, Anthony Larcher, Rohan Kumar Das, Haizhou Li, Mickael Rouvier, Pierre-Michel Bousquet, Wei Rao, Qing Wang, Chunlei Zhang, Fahimeh Bahmaninezhad, Hector Delgado, Jose Patino, Qiongqiong Wang, Ling Guo, Takafumi Koshinaka, Jiacen Zhang, Koichi Shinoda, Trung Ngo Trong, Md Sahidullah, Fan Lu, Yun Tang, Ming Tu, Kah Kuan Teh, Huy Dat Tran, Kuruvachan K. George, Ivan Kukanov, Florent Desnous, Jichen Yang, Emre Yilmaz, Longting Xu, Jean-Francois Bonastre, Cheng-Lin Xu, Zhi Hao Lim, Eng Siong Chng, Shivesh Ranjan, John H. L. Hansen, Massimiliano Todisco, Nicholas Evans
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE).
no code implementations • 19 Mar 2019 • Yuefeng Chen, Qing Wang
However, the self-updating scheme makes these methods suffer from drifting problem because of the incorrect labels of weak classifiers in training samples.
no code implementations • 15 Feb 2019 • Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly
We prove that the light field is a 2D series, thus, a specifically designed CNN-LSTM network is proposed to capture the continuity property of the EPI.
no code implementations • 10 Dec 2018 • Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, Liang Lin
In this paper, we propose a novel cascaded backbone-branches fully convolutional neural network~(BB-FCN) for rapidly and accurately localizing facial landmarks in unconstrained and cluttered settings.
1 code implementation • NeurIPS 2018 • Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang
We consider deep policy learning with only batched historical trajectories.
5 code implementations • 10 Oct 2018 • Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu
Most existing deep reinforcement learning (DRL) frameworks consider either discrete action space or continuous action space solely.
3 code implementations • 19 Sep 2018 • Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang
Both TStarBot1 and TStarBot2 are able to defeat the built-in AI agents from level 1 to level 10 in a full game (1v1 Zerg-vs-Zerg game on the AbyssalReef map), noting that level 8, level 9, and level 10 are cheating agents with unfair advantages such as full vision on the whole map and resource harvest boosting.
no code implementations • 7 Aug 2018 • Qi Zhang, Chunping Zhang, Jinbo Ling, Qing Wang, Jingyi Yu
Based on the MPC model and projective transformation, we propose a calibration algorithm to verify our light field camera model.
no code implementations • 14 Jun 2018 • Mantang Guo, Hao Zhu, Guoqing Zhou, Qing Wang
A light field records numerous light rays from a real-world scene.
no code implementations • 19 May 2018 • Qing Wang, Long Chen, Wei Tian
Imitation learning for end-to-end autonomous driving has drawn attention from academic communities.
no code implementations • 9 Mar 2018 • Gregory Kiar, Robert J. Anderson, Alex Baden, Alexandra Badea, Eric W. Bridgeford, Andrew Champion, Vikram Chandrashekhar, Forrest Collman, Brandon Duderstadt, Alan C. Evans, Florian Engert, Benjamin Falk, Tristan Glatard, William R. Gray Roncal, David N. Kennedy, Jeremy Maitin-Shepard, Ryan A. Marren, Onyeka Nnaemeka, Eric Perlman, Sharmishtaas Seshamani, Eric T. Trautman, Daniel J. Tward, Pedro Antonio Valdés-Sosa, Qing Wang, Michael I. Miller, Randal Burns, Joshua T. Vogelstein
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales.
1 code implementation • ICLR 2018 • Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Yang Zheng, Lei Han, Haobo Fu, Xiangru Lian, Carson Eisenach, Haichuan Yang, Emmanuel Ekwedike, Bei Peng, Haoyue Gao, Tong Zhang, Ji Liu, Han Liu
Most existing deep reinforcement learning (DRL) frameworks consider action spaces that are either discrete or continuous space.
no code implementations • 20 Dec 2017 • Xianqiang Lv, Hao Zhu, Qing Wang
The large volume of input data and the redundancy of light field make it an open challenge.
no code implementations • IJCNLP 2017 • Wei Xue, Wubai Zhou, Tao Li, Qing Wang
Online reviews are valuable resources not only for consumers to make decisions before purchase, but also for providers to get feedbacks for their services or commodities.
no code implementations • 10 Aug 2017 • Qing Wang, Chunqiu Zeng, Wubai Zhou, Tao Li, Larisa Shwartz, Genady Ya. Grabarnik
To address these issues, collaborative filtering (CF), one of the recommendation techniques relying on the interaction data only, as well as the online multi-armed bandit mechanisms, capable of achieving the balance between exploitation and exploration, are adopted in the online interactive recommendation settings, by assuming independent items (i. e., arms).
no code implementations • CVPR 2017 • Hao Zhu, Qi Zhang, Qing Wang
Superpixel segmentation of 2D image has been widely used in many computer vision tasks.
no code implementations • 24 Jan 2017 • Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu
In this paper, we propose a graph-based recursive neural network framework for collective vertex classification.
no code implementations • 22 Sep 2016 • Yueming Sun, Ye Yang, He Zhang, Wen Zhang, Qing Wang
[Conclusions]: The approach of using ontology could effectively and efficiently support the conducting of systematic literature review.
4 code implementations • 16 Sep 2016 • Joshua T. Vogelstein, Eric Bridgeford, Qing Wang, Carey E. Priebe, Mauro Maggioni, Cencheng Shen
Understanding the relationships between different properties of data, such as whether a connectome or genome has information about disease status, is becoming increasingly important in modern biological datasets.
no code implementations • 16 Aug 2016 • Chunping Zhang, Zhe Ji, Qing Wang
The geometry of the recovered scene structure is affected by the calibration of the plenoptic camera significantly.
no code implementations • 15 Aug 2016 • Hao Zhu, Qing Wang, Jingyi Yu
Occlusion is one of the most challenging problems in depth estimation.
no code implementations • 15 Apr 2016 • Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang
The past decade has witnessed the rapid development of feature representation learning and distance metric learning, whereas the two steps are often discussed separately.
Ranked #7 on Person Re-Identification on SYSU-30k (using extra training data)
no code implementations • 3 Feb 2015 • Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, Jian-Huang Lai
In the first step, the references are selected by jointly matching their appearances with the target as well as the semantics (i. e. the assigned labels of the target and the references).
no code implementations • CVPR 2014 • Zhaolin Xiao, Qing Wang, Guoqing Zhou, Jingyi Yu
When using plenoptic camera for digital refocusing, angular undersampling can cause severe (angular) aliasing artifacts.