no code implementations • INLG (ACL) 2020 • Emiel van Miltenburg, Wei-Ting Lu, Emiel Krahmer, Albert Gatt, Guanyi Chen, Lin Li, Kees Van Deemter
Because our manipulated descriptions form minimal pairs with the reference descriptions, we are able to assess the impact of different kinds of errors on the perceived quality of the descriptions.
no code implementations • CCL 2022 • Renwei Wu, Lin Li, Zheng He, Jingling Yuan
“当前, 基于方面类别的情感分析研究旨在将方面类别检测和面向类别的情感分类两个任务协同进行。然而, 现有研究未能有效关注情感数据集中存在的噪声标签, 影响了情感分析的质量。基于此, 本文提出一种标签先验知识增强的方面类别情感分析方法(AP-LPK)。首先本文为面向类别的情感分类构建了自回归提示训练方式, 可以激发预训练语言模型的潜力。同时该方式通过自回归生成标签词, 以期获得比非自回归更好的语义一致性。其次, 每个类别的标签分布作为标签先验知识引入, 并通过伯努利分布对其进行进一步精炼, 以用于减轻噪声标签的干扰。然后, AP-LPK将上述两个步骤分别得到的情感类别分布进行融合, 以获得最终的情感类别预测概率。最后, 本文提出的AP-LPK方法在五个数据集上进行评估, 包括SemEval 2015和2016的四个基准数据集和AI Challenger 2018的餐厅领域大规模数据集。实验结果表明, 本文提出的方法在F1指标上优于现有方法。”
no code implementations • CCL 2020 • Lin Li, Kees Van Deemter, Denis Paperno
This paper presents our work in long and short form choice, a significant question of lexical choice, which plays an important role in many Natural Language Understanding tasks.
1 code implementation • 24 Jan 2023 • Lin Li, Michael Spratling
Data augmentation, which is effective at preventing overfitting in standard training, has been observed by many previous works to be ineffective in mitigating overfitting in adversarial training.
no code implementations • 19 Jan 2023 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya
The adoption of artificial intelligence (AI) in healthcare is growing rapidly.
1 code implementation • 9 Dec 2022 • Lin Li, Michael Spratling
Adversarial training is widely used to improve the robustness of deep neural networks to adversarial attack.
no code implementations • 24 Nov 2022 • Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li
By leveraging a series of material-specific transformations, we introduce CrystalCLR, a framework for constrastive learning of representations with crystal graph neural networks.
1 code implementation • 14 Nov 2022 • Dexin Liao, Tao Jiang, Feng Wang, Lin Li, Qingyang Hong
Transformer has achieved extraordinary performance in Natural Language Processing and Computer Vision tasks thanks to its powerful self-attention mechanism, and its variant Conformer has become a state-of-the-art architecture in the field of Automatic Speech Recognition (ASR).
no code implementations • 5 Oct 2022 • Lin Li, Esther Gupta, John Spaeth, Leslie Shing, Tristan Bepler, Rajmonda Sulo Caceres
Therapeutic antibody development has become an increasingly popular approach for drug development.
no code implementations • 24 Sep 2022 • Jie Wang, Yuji Liu, Binling Wang, Yiming Zhi, Song Li, Shipeng Xia, Jiayang Zhang, Feng Tong, Lin Li, Qingyang Hong
This paper describes a spatial-aware speaker diarization system for the multi-channel multi-party meeting.
no code implementations • 7 Aug 2022 • Lin Li, Long Chen, Hanrong Shi, Wenxiao Wang, Jian Shao, Yi Yang, Jun Xiao
To this end, we propose a novel model-agnostic Label Semantic Knowledge Distillation (LS-KD) for unbiased SGG.
no code implementations • 27 Jul 2022 • Lin Li, Long Chen, Hanrong Shi, Hanwang Zhang, Yi Yang, Wei Liu, Jun Xiao
To this end, we propose a novel NoIsy label CorrEction and Sample Training strategy for SGG: NICEST.
no code implementations • 22 Jul 2022 • Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, Guchun Zhang, Yinpeng Guo, Zhongqi Li, Qi Zhang, Meng Xiao, Bo Shen, Lin Li, Hao Yu, Li Yan, Pingyi Zhou, Xin Wang, Yuchi Ma, Ignacio Iacobacci, Yasheng Wang, Guangtai Liang, Jiansheng Wei, Xin Jiang, Qianxiang Wang, Qun Liu
We present PanGu-Coder, a pretrained decoder-only language model adopting the PanGu-Alpha architecture for text-to-code generation, i. e. the synthesis of programming language solutions given a natural language problem description.
no code implementations • 14 Jul 2022 • Zhou Liu, YuJun Li, Zhengying Liu, Lin Li, Zhenguo Li
We define the normalized form of trigonometric identities, design a set of rules for the proof and put forward a method which can generate theoretically infinite trigonometric identities.
no code implementations • 10 Jul 2022 • Lin Li, Chao Chen, Lei Pan, Yonghang Tai, Jun Zhang, Yang Xiang
It reduces the success rate of rPPG spoofing attacks in user authentication to 0. 05.
no code implementations • 3 Jul 2022 • Lin Li, Jingyi Liu, Shuo Wang, Xunkun Wang, Tian-Zhu Xiang
Trichomoniasis is a common infectious disease with high incidence caused by the parasite Trichomonas vaginalis, increasing the risk of getting HIV in humans if left untreated.
no code implementations • 17 Jun 2022 • Lin Li, Guoli Wang, Xuemei Guo
MeanShift algorithm has been widely used in tracking tasks because of its simplicity and efficiency.
1 code implementation • CVPR 2022 • Lin Li, Long Chen, Yifeng Huang, Zhimeng Zhang, Songyang Zhang, Jun Xiao
Then, in Pos-NSD, we use a clustering-based algorithm to divide all positive samples into multiple sets, and treat the samples in the noisiest set as noisy positive samples.
no code implementations • 28 May 2022 • Fuchuan Tong, Siqi Zheng, Haodong Zhou, Xingjia Xie, Qingyang Hong, Lin Li
While promising performance for speaker verification has been achieved by deep speaker embeddings, the advantage would reduce in the case of speaking-style variability.
1 code implementation • 24 May 2022 • Ming Li, Lin Li, Qing Xie, Jingling Yuan, Xiaohui Tao
A publicly available dataset specialising in meal recommendation research for the research community is in urgent demand.
no code implementations • 25 Apr 2022 • Fuchuan Tong, Siqi Zheng, Min Zhang, Yafeng Chen, Hongbin Suo, Qingyang Hong, Lin Li
In this work, we present a GCN-based approach for semi-supervised learning.
no code implementations • 22 Feb 2022 • Jianhao Ye, Hongbin Zhou, Zhiba Su, Wendi He, Kaimeng Ren, Lin Li, Heng Lu
Recent advances in cross-lingual text-to-speech (TTS) made it possible to synthesize speech in a language foreign to a monolingual speaker.
no code implementations • 14 Feb 2022 • Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu, Xiaohui Tao
The experiences in the form of the unlikelihood of correct responses are drawn from each other by MED, which provides mutual exclusivity knowledge to figure out implicitly hard interactions.
no code implementations • 19 Jan 2022 • Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
In addition, we conduct extensive experiments to analyze the impact of different graph encoders on DSGC, giving insights about how to better leverage the advantages of contrastive learning between different spaces.
1 code implementation • NeurIPS Workshop AI4Scien 2021 • Nathan C. Frey, Siddharth Samsi, Joseph McDonald, Lin Li, Connor W. Coley, Vijay Gadepally
Deep learning in molecular and materials sciences is limited by the lack of integration between applied science, artificial intelligence, and high-performance computing.
no code implementations • NeurIPS 2021 • Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang
With the new operation, vision transformers constructed using additions can also provide powerful feature representations.
no code implementations • 24 Nov 2021 • Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
Recent advances in path-based explainable recommendation systems have attracted increasing attention thanks to the rich information provided by knowledge graphs.
1 code implementation • 22 Oct 2021 • Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li
This paper introduces a two-phase deep feature engineering framework for efficient learning of semantics enhanced joint embedding, which clearly separates the deep feature engineering in data preprocessing from training the text-image joint embedding model.
no code implementations • 16 Oct 2021 • Zhixin Sun, Xian Zhong, Shuqin Chen, Lin Li, Luo Zhong
Video captioning is a challenging task that captures different visual parts and describes them in sentences, for it requires visual and linguistic coherence.
no code implementations • 15 Oct 2021 • Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Chen, Lin Li, Dongfang Liu
The existing MOTS studies face two critical challenges: 1) the published datasets inadequately capture the real-world complexity for network training to address various driving settings; 2) the working pipeline annotation tool is under-studied in the literature to improve the quality of MOTS learning examples.
no code implementations • 11 Oct 2021 • Lin Li
We propose a novel portfolio trading system, which contains a feature preprocessing module and a trading module.
no code implementations • 11 Sep 2021 • Lin Li
Financial trading aims to build profitable strategies to make wise investment decisions in the financial market.
no code implementations • 7 Sep 2021 • Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
They utilize simple and fixed schemes, like neighborhood information aggregation or mathematical calculation of vectors, to fuse the embeddings of different user behaviors to obtain a unified embedding to represent a user's behavioral patterns which will be used in downstream recommendation tasks.
no code implementations • Findings (EMNLP) 2021 • Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu
Math word problem (MWP) is a challenging and critical task in natural language processing.
Ranked #1 on
Math Word Problem Solving
on Math23K
no code implementations • 6 Sep 2021 • Jie Wang, Fuchuang Tong, Zhicong Chen, Lin Li, Qingyang Hong, Haodong Zhou
This paper describes the XMUSPEECH speaker recognition and diarisation systems for the VoxCeleb Speaker Recognition Challenge 2021.
no code implementations • 3 Sep 2021 • Jiahui Li, Kun Kuang, Lin Li, Long Chen, Songyang Zhang, Jian Shao, Jun Xiao
Deep neural networks have demonstrated remarkable performance in many data-driven and prediction-oriented applications, and sometimes even perform better than humans.
no code implementations • 1 Sep 2021 • Juncai He, Lin Li, Jinchao Xu
This paper focuses on establishing $L^2$ approximation properties for deep ReLU convolutional neural networks (CNNs) in two-dimensional space.
1 code implementation • 31 Aug 2021 • Prianka Banik, Lin Li, Xishuang Dong
In this paper, we studied the problem of localizing a generic set of keypoints across multiple quadruped or four-legged animal species from images.
no code implementations • 15 Aug 2021 • Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang, Stephen Pulman, Lin Li, Megan Barnes, Jingjing Pan, Jason Williams, Alex Acero
Named entity recognition (NER) is usually developed and tested on text from well-written sources.
no code implementations • 9 Aug 2021 • Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong
This paper presents a three-tier modality alignment approach to learning text-image joint embedding, coined as JEMA, for cross-modal retrieval of cooking recipes and food images.
1 code implementation • 2 Aug 2021 • Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong
We present a Multi-modal Semantics enhanced Joint Embedding approach (MSJE) for learning a common feature space between the two modalities (text and image), with the ultimate goal of providing high-performance cross-modal retrieval services.
no code implementations • 2 Aug 2021 • Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong
This paper introduces a two-phase deep feature calibration framework for efficient learning of semantics enhanced text-image cross-modal joint embedding, which clearly separates the deep feature calibration in data preprocessing from training the joint embedding model.
no code implementations • 23 Jul 2021 • Binling Wang, Wenxuan Hu, Jing Li, Yiming Zhi, Zheng Li, Qingyang Hong, Lin Li, Dong Wang, Liming Song, Cheng Yang
In addition to the Language Identification (LID) tasks, multilingual Automatic Speech Recognition (ASR) tasks are introduced to OLR 2021 Challenge for the first time.
no code implementations • 5 Jul 2021 • Jing Li, Binling Wang, Yiming Zhi, Zheng Li, Lin Li, Qingyang Hong, Dong Wang
The fifth Oriental Language Recognition (OLR) Challenge focuses on language recognition in a variety of complex environments to promote its development.
1 code implementation • 1 Jul 2021 • Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong liu
We also present a two-step global semantic ICP to obtain the 3D pose (x, y, yaw) used to align the point cloud to improve matching performance.
Ranked #1 on
Visual Place Recognition
on KITTI
no code implementations • 30 Jun 2021 • Dexin Liao, Jing Li, Yiming Zhi, Song Li, Qingyang Hong, Lin Li
For the SV system, we proposed a multi-task learning network, where phonetic branch is trained with the character label of the utterance, and speaker branch is trained with the label of the speaker.
no code implementations • 25 Jun 2021 • Yan Liu, Zheng Li, Lin Li, Qingyang Hong
This paper proposes a multi-task learning network with phoneme-aware and channel-wise attentive learning strategies for text-dependent Speaker Verification (SV).
no code implementations • 22 Jun 2021 • Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong liu
LiDAR-based SLAM system is admittedly more accurate and stable than others, while its loop closure detection is still an open issue.
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 • NAACL 2021 • Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Lin Li, Hong Yu
In this work, we propose a novel joint learning framework of modeling coreference resolution and query rewriting for complex, multi-turn dialogue understanding.
no code implementations • 11 May 2021 • Lixin Xu, Lin Li, Kunniang Liu, Jiarui Zhang, Yuanning Chang, Yunpeng Fang, Hao Yuan, Zhiyuan Yang, Jingyuan Chen, Yiyao Wang, Yajun Fang
ransportation systems have revolutionized the form of society.
no code implementations • 10 May 2021 • Juncai He, Lin Li, Jinchao Xu
We study ReLU deep neural networks (DNNs) by investigating their connections with the hierarchical basis method in finite element methods.
no code implementations • 20 Mar 2021 • Ke Zhang, Hanbo Ying, Hong-Ning Dai, Lin Li, Yuangyuang Peng, Keyi Guo, Hongfang Yu
Deep Neural Networks (DNNs) have shown great success in completing complex tasks.
no code implementations • 4 Mar 2021 • Peng Yang, Lin Li, Zhiming Li, Mingmei Xu, Yeyin Zhao, Yuanfang Wu
Radial flow can be directly extracted from the azimuthal distribution of mean transverse rapidity.
Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment
no code implementations • 17 Dec 2020 • Andrei Afanasev, Jaseer Ahmed, Igor Akushevich, Jan C. Bernauer, Peter G. Blunden, Andrea Bressan, Duane Byer, Ethan Cline, Markus Diefenthaler, Jan M. Friedrich, Haiyan Gao, Alexandr Ilyichev, Ulrich D. Jentschura, Vladimir Khachatryan, Lin Li, Wally Melnitchouk, Richard Milner, Fred Myhrer, Chao Peng, Jianwei Qiu, Udit Raha, Axel Schmidt, Vanamali C. Shastry, Hubert Spiesberger, Stan Srednyak, Steffen Strauch, Pulak Talukdar, Weizhi Xiong
Current precision scattering experiments and even more so many experiments planed for the Electron Ion Collider will be limited by systematics.
Nuclear Theory
no code implementations • COLING 2020 • Wenyu Zhao, Dong Zhou, Lin Li, Jinjun Chen
Our second method refines word representations by aligning original and re-fined embedding spaces based on local tangent space instead of performing weighted locally linear combination twice.
1 code implementation • EMNLP 2020 • Jianpeng Cheng, Devang Agrawal, Hector Martinez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Shaona Ghosh, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D Williams, Hong Yu, Diarmuid O Seaghdha, Anders Johannsen
We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog.
no code implementations • 5 Oct 2020 • Lin Li, Charles K. Chui, Qingtang Jiang
In this paper, we propose an adaptive signal separation operation (ASSO) for effective and accurate separation of a single-channel blind-source multi-component signal, via introducing a time-varying parameter that adapts locally to IFs and using linear chirp (linear frequency modulation) signals to approximate components at each time instant.
no code implementations • 4 Oct 2020 • Lin Li, Ningning Han, Qingtang Jiang, Charles K. Chui
We use the chirplet transform (CT) to represent a multicomponent signal in the three-dimensional space of time, frequency and chirp rate and introduce a CT-based signal separation scheme (CT3S) to retrieve modes.
no code implementations • 22 Aug 2020 • Jian Lu, Qingtang Jiang, Lin Li
The WSST with a time-varying parameter, called the adaptive WSST, was introduced very recently in the paper "Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation".
1 code implementation • 21 Jul 2020 • Xian Zhong, Cheng Gu, Wenxin Huang, Lin Li, Shuqin Chen, Chia-Wen Lin
As a result, a meta-learner cannot be trained well in a high-dimensional parameter space to generalize to new tasks.
Ranked #17 on
Few-Shot Image Classification
on FC100 5-way (5-shot)
no code implementations • 4 Jun 2020 • Zheng Li, Miao Zhao, Qingyang Hong, Lin Li, Zhiyuan Tang, Dong Wang, Li-Ming Song, Cheng Yang
Based on Kaldi and Pytorch, recipes for i-vector and x-vector systems are also conducted as baselines for the three tasks.
no code implementations • NAACL 2021 • Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao, Xiao Yang, Justine Kao, Stephen Pulman, Atish Kothari, Ray Shen, Yinying Pan, Vivek Kaul, Mubarak Seyed Ibrahim, Gang Xiang, Nan Dun, Yidan Zhou, Andy O, Yuan Zhang, Pooja Chitkara, Xuan Wang, Alkesh Patel, Kushal Tayal, Roger Zheng, Peter Grasch, Jason D. Williams, Lin Li
Named Entity Recognition (NER) and Entity Linking (EL) play an essential role in voice assistant interaction, but are challenging due to the special difficulties associated with spoken user queries.
1 code implementation • Radiology 2020 • Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song, Kunlin Cao, Daliang Liu, Guisheng Wang, Qizhong Xu, Xisheng Fang, Shiqin Zhang, Juan Xia, Jun Xia
Materials and Methods In this retrospective and multi-center study, a deep learning model, COVID-19 detection neural network (COVNet), was developed to extract visual features from volumetric chest CT exams for the detection of COVID-19.
no code implementations • 14 Jan 2020 • Lingyun Zhao, Lin Li, Xinhao Zheng
Aiming at the issue, we propose a sentiment analysis and key entity detection approach based on BERT, which is applied in online financial text mining and public opinion analysis in social media.
no code implementations • 24 Nov 2019 • Jing Huang, Hengfeng Miao, Lin Li, Yuanqiao Wen, Changshi Xiao
This paper attempts to find a solution to guarantee the effectiveness of waterline detection for inland maritime applications with general digital camera sensor.
no code implementations • 23 Nov 2019 • Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych
Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference visits, and preparing paper submissions using a unified interface based on natural language inputs and responses.
no code implementations • WS 2019 • Lin Li, Kees Van Deemter, Denis Paperno, Jingyu Fan
Between 80{\%} and 90{\%} of all Chinese words have long and short form such as 老虎/虎 (lao-hu/hu , tiger) (Duanmu:2013).
no code implementations • 18 Sep 2019 • Deepak Muralidharan, Justine Kao, Xiao Yang, Lin Li, Lavanya Viswanathan, Mubarak Seyed Ibrahim, Kevin Luikens, Stephen Pulman, Ashish Garg, Atish Kothari, Jason Williams
Personal assistant AI systems such as Siri, Cortana, and Alexa have become widely used as a means to accomplish tasks through natural language commands.
no code implementations • 10 Aug 2019 • Peipei Wang, Lin Li, Yi Yu, Guandong Xu
To tackle the issue of preference aggregation for group recommendation, we propose a novel attentive aggregation representation learning method based on sociological theory for group recommendation, namely SIAGR (short for "Social Influence-based Attentive Group Recommendation"), which takes attention mechanisms and the popular method (BERT) as the aggregation representation for group profile modeling.
no code implementations • 4 Jul 2019 • Weibin Lin, Lin Li
There are rich formats of information in the network, such as rating, text, image, and so on, which represent different aspects of user preferences.
no code implementations • 3 Jul 2019 • Dong Li, Lin Li
The Q&A community has become an important way for people to access knowledge and information from the Internet.
no code implementations • 3 Jul 2019 • Donghang Pan, Jingling Yuan, Lin Li, Deming Sheng
Based on the Bi-LSTM model, the classification model of word-level attention mechanism is studied.
no code implementations • 27 Apr 2019 • Lin Li, Mengjing Zhang, Zhaohui Chao, Jianwen Xiang
With the rapid development of knowledge bases(KBs), question answering(QA)based on KBs has become a hot research issue.
no code implementations • 9 Oct 2018 • Zhaohui Chao, Lin Li
With the rapid development of knowledge base, question answering based on knowledge base has been a hot research issue.
no code implementations • 4 Oct 2018 • Chengyao Du, Jingling Yuan, Jiansheng Dong, Lin Li, Mincheng Chen, Tao Li
In order to solve these problems, we propose a real-time panoramic video stitching framework. The framework we propose mainly consists of three algorithms, LORB image feature extraction algorithm, feature point matching algorithm based on LSH and GPU parallel video stitching algorithm based on CUDA. The experiment results show that the algorithm mentioned can improve the performance in the stages of feature extraction of images stitching and matching, the running speed of which is 11 times than that of the traditional ORB algorithm and 639 times than that of the traditional SIFT algorithm.
no code implementations • 4 Oct 2018 • Zhongwei Xie, Lin Li, Xian Zhong, Luo Zhong
In this paper, we propose an end-to-end neural network framework for image-to-video person reidentification by leveraging cross-modal embeddings learned from extra information. Concretely speaking, cross-modal embeddings from image captioning and video captioning models are reused to help learned features be projected into a coordinated space, where similarity can be directly computed.
no code implementations • 7 May 2018 • Wu Zheng, Lin Li, Zhao-Xiang Zhang, Yan Huang, Liang Wang
We introduce the Recurrent Relational Network to learn the spatial features in a single skeleton, followed by a multi-layer LSTM to learn the temporal features in the skeleton sequences.
Ranked #74 on
Skeleton Based Action Recognition
on NTU RGB+D
no code implementations • 24 Jun 2016 • Lin Li, Ananthram Swami, Anna Scaglione
We propose a probabilistic modeling framework for learning the dynamic patterns in the collective behaviors of social agents and developing profiles for different behavioral groups, using data collected from multiple information sources.
no code implementations • 17 Mar 2016 • Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng
In this letter, an effective image saliency detection method is proposed by constructing some novel spaces to model the background and redefine the distance of the salient patches away from the background.
no code implementations • 15 Mar 2014 • Bibo Hao, Lin Li, Rui Gao, Ang Li, Tingshao Zhu
Nowadays, people are motivated to share their experiences and feelings on social media, so we propose to sense SWB from the vast user generated data on social media.