1 code implementation • 26 Apr 2024 • Xuan Zhang, Wei Gao
Retrieval-augmented language models have exhibited promising performance across various areas of natural language processing (NLP), including fact-critical tasks.
no code implementations • 25 Apr 2024 • Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, HaoNing Wu, Yixuan Gao, Yuqin Cao, ZiCheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Fengbin Guan, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao
A total of 196 participants have registered in the video track.
1 code implementation • 21 Apr 2024 • Bowen Qu, Xiaoyu Liang, Shangkun Sun, Wei Gao
The recent advancements in Text-to-Video Artificial Intelligence Generated Content (AIGC) have been remarkable.
no code implementations • 27 Mar 2024 • Bowen Qu, Haohui Li, Wei Gao
To solve this problem, we introduce IP-IQA (AGIs Quality Assessment via Image and Prompt), a multimodal framework for AGIQA via corresponding image and prompt incorporation.
no code implementations • 26 Mar 2024 • Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi, Yan Wang, Xuehui Wang, Jiangzhou Wang
In this paper, single large-scale IRS is divided to multiple small IRSs and a novel multi-IRS-aided multi-stream DM network is proposed to achieve a point-to-point multi-stream transmission by creating $K$ ($\geq3$) DoFs, where multiple small IRSs are placed distributively via multiple unmanned aerial vehicles (UAVs).
no code implementations • 2 Feb 2024 • Man-Jie Yuan, Zheng Zou, Wei Gao
We decompose the input data (e. g., some images) into sensitive and insensitive segments according to importance and privacy.
1 code implementation • 2 Feb 2024 • Shuqing Luo, Wei Gao
We propose a general method for deep learning based point cloud analysis, which is invariant to rotation on the inputs.
1 code implementation • 24 Jan 2024 • Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo wang, Ruichao Yang
Then we propose to fine-tune a small language model as the debate judge for harmfulness inference, to facilitate multimodal fusion between the harmfulness rationales and the intrinsic multimodal information within memes.
1 code implementation • 18 Jan 2024 • Xuan Zhang, Wei Gao
We propose a novel approach to predict viral rumors and vulnerable users using a unified graph neural network model.
no code implementations • 17 Jan 2024 • Songlin Fan, Zixuan Guo, Wei Gao, Ge Li
The evolution of compression and enhancement algorithms necessitates an accurate quality assessment for point clouds.
1 code implementation • 16 Jan 2024 • Fengzhu Zeng, Wei Gao
Justification is an explanation that supports the veracity assigned to a claim in fact-checking.
1 code implementation • 21 Dec 2023 • Kai Huang, Boyuan Yang, Wei Gao
To speed up on-device training, existing schemes select trainable NN portion offline or conduct unrecoverable selection at runtime, but the evolution of trainable NN portion is constrained and cannot adapt to the current need for training.
no code implementations • 21 Dec 2023 • Kai Huang, Wei Gao
With the wide adoption of AI applications, there is a pressing need of enabling real-time neural network (NN) inference on small embedded devices, but deploying NNs and achieving high performance of NN inference on these small devices is challenging due to their extremely weak capabilities.
1 code implementation • 13 Dec 2023 • Kai Huang, Boyuan Yang, Wei Gao
Large Language Models (LLMs) are capable of reasoning over diverse input data modalities through pre-trained encoders.
no code implementations • 11 Dec 2023 • Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li
Based on our analysis, we propose a label-aware point cloud downsampling strategy to increase the proportion of annotations involved in the training stage.
1 code implementation • 28 Nov 2023 • Shangkun Sun, Jiaming Liu, Thomas H. Li, Huaxia Li, Guoqing Liu, Wei Gao
To address this issue, multi-frame optical flow methods leverage adjacent frames to mitigate the local ambiguity.
1 code implementation • 25 Nov 2023 • Ruyang Liu, Jingjia Huang, Wei Gao, Thomas H. Li, Ge Li
Large-scale image-language pretrained models, e. g., CLIP, have demonstrated remarkable proficiency in acquiring general multi-modal knowledge through web-scale image-text data.
no code implementations • 15 Nov 2023 • YiFan Li, Feng Shu, Jun Zou, Wei Gao, Yaoliang Song, Jiangzhou Wang
To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly increase the number of output classifications and also produce a huge high model complexity.
1 code implementation • journal 2023 • Wei Gao, Shangkun Sun, Huiming Zheng, Yuyang Wu, Hua Ye, Yongchi Zhang
Video streaming has become an essential component of our everyday routines.
1 code implementation • 25 Oct 2023 • Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
This model only requires bag-level labels for training but is capable of inferring both sentence-level misinformation and article-level veracity, aided by relevant social media conversations that are attentively contextualized with news sentences.
no code implementations • 15 Oct 2023 • Hong Zhang, Prasanta Bhattacharya, Wei Gao, Liang Ze Wong, Brandon Siyuan Loh, Joseph J. P. Simons, Jisun An
The results highlight the importance of considering deeper psychological attributes in stance analysis and underscores the role of moral foundations in guiding online social behavior.
1 code implementation • 30 Sep 2023 • Xuan Zhang, Wei Gao
While large pre-trained language models (LLMs) have shown their impressive capabilities in various NLP tasks, they are still under-explored in the misinformation domain.
1 code implementation • 24 Sep 2023 • Haoming Wang, Wei Gao
Device heterogeneity is defined as the clients' variant latencies in uploading their local model updates due to heterogeneous conditions of local hardware resources, and causes the problem of staleness when being addressed by asynchronous FL.
1 code implementation • 22 Sep 2023 • Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
With the fast growth of LLM-enabled AI applications and democratization of open-souced LLMs, fine-tuning has become possible for non-expert individuals, but intensively performed LLM fine-tuning worldwide could result in significantly high energy consumption and carbon footprint, which may bring large environmental impact.
no code implementations • 7 Aug 2023 • Songlin Fan, Wei Gao
To accurately illustrate the perceptual quality differences of 3D stimuli, our software can simultaneously render the source stimulus and impaired stimulus and allows both stimuli to respond synchronously to viewer interactions.
1 code implementation • NAACL 2022 • Fengzhu Zeng, Wei Gao
Little attention has been paid on \underline{EA}rly \underline{R}umor \underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing.
1 code implementation • 5 Jun 2023 • Fengzhu Zeng, Wei Gao
Few-shot or zero-shot fact verification only relies on a few or no labeled training examples.
1 code implementation • 21 Mar 2023 • Hong Zhang, Haewoon Kwak, Wei Gao, Jisun An
People who share similar opinions towards controversial topics could form an echo chamber and may share similar political views toward other topics as well.
no code implementations • CVPR 2023 • Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li
Recently, self-attention networks achieve impressive performance in point cloud segmentation due to their superiority in modeling long-range dependencies.
2 code implementations • ICCV 2023 • Lvfang Tao, Wei Gao, Ge Li, Chenhao Zhang
Compressive autoencoders (CAEs) play an important role in deep learning-based image compression, but large-scale CAEs are computationally expensive.
no code implementations • 25 Oct 2022 • Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms.
no code implementations • 23 Sep 2022 • Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong
In addition to conducting experiments on a popular dataset (ReDial), we also include a multi-domain dataset (OpenDialKG) to show the effectiveness of our model.
no code implementations • 11 Aug 2022 • Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.
1 code implementation • 25 Jul 2022 • Songlin Fan, Wei Gao, Ge Li
This paper researches the unexplored task-point cloud salient object detection (SOD).
3 code implementations • 17 Jul 2022 • Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li, Cong Wang, Yao Zhao, Sam Kwong
The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload.
no code implementations • 14 Jul 2022 • Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS).
no code implementations • 9 Jun 2022 • Yiqing Xu, Wei Gao, David Hsu
Inverse reinforcement learning (IRL) seeks to infer a cost function that explains the underlying goals and preferences of expert demonstrations.
no code implementations • 24 May 2022 • Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
Deep learning (DL) shows its prosperity in a wide variety of fields.
no code implementations • 29 Apr 2022 • Meng-Zhang Qian, Zheng Ai, Teng Zhang, Wei Gao
Margin has played an important role on the design and analysis of learning algorithms during the past years, mostly working with the maximization of the minimum margin.
1 code implementation • 29 Apr 2022 • Xiaoqing Fan, Ge Li, Dingquan Li, Yurui Ren, Wei Gao, Thomas H. Li
Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission.
1 code implementation • CVPR 2022 • Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji
Most existing methods either take the end-to-end supervised learning based manner, where large amounts of pairs of sparse input and dense ground-truth are exploited as supervision information; or treat up-scaling of different scale factors as independent tasks, and have to build multiple networks to handle upsampling with varying factors.
no code implementations • 6 Apr 2022 • Ruichao Yang, Jing Ma, Hongzhan Lin, Wei Gao
The diffusion of rumors on microblogs generally follows a propagation tree structure, that provides valuable clues on how an original message is transmitted and responded by users over time.
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 • 25 Feb 2022 • Wei Gao, David Hsu, Wee Sun Lee
To solve these issues, we present Context Hierarchy IRL(CHIRL), a new IRL algorithm that exploits the context to scale up IRL and learn reward functions of complex behaviors.
1 code implementation • COLING 2022 • Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu
Therefore, we make the first attempt to recommend medications with the conversations between doctors and patients.
1 code implementation • 12 Feb 2022 • Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu
In point cloud compression, sufficient contexts are significant for modeling the point cloud distribution.
1 code implementation • 12 Feb 2022 • Xianghao Zang, Ge Li, Wei Gao
To fuse multi-scale feature representation, this paper presents a pyramid structure containing global-level information and many pieces of local-level information from different scales.
no code implementations • 10 Jan 2022 • Yuyang Wu, Wei Gao
The whole process is comprised of two sub-processes, named pre-processing of depth maps and deep lossless compression of processed depth maps.
1 code implementation • 10 Nov 2021 • Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu
In this way, the complex scenes in the ReID task are effectively disentangled, and the burden of each branch is relieved.
Ranked #2 on Person Re-Identification on P-DukeMTMC-reID
1 code implementation • 9 Nov 2021 • Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu
A local-aware module is employed to explore the poentials of local-level feature for unsupervised learning.
Ranked #1 on Unsupervised Person Re-Identification on PRID2011
Unsupervised Person Re-Identification Video-Based Person Re-Identification
no code implementations • 16 Sep 2021 • Bo Ai, Wei Gao, Vinay, David Hsu
Importantly, we integrate the multiple neural network modules into a unified controller that achieves robust performance for visual navigation in complex, partially observable environments.
no code implementations • 14 Sep 2021 • Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang
The recursive least-squares algorithm with $\ell_1$-norm regularization ($\ell_1$-RLS) exhibits excellent performance in terms of convergence rate and steady-state error in identification of sparse systems.
no code implementations • 15 Aug 2021 • Shao-Qun Zhang, Wei Gao, Zhi-Hua Zhou
Complex-valued neural networks have attracted increasing attention in recent years, while it remains open on the advantages of complex-valued neural networks in comparison with real-valued networks.
no code implementations • CVPR 2021 • Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu
However, deep CNNs are vulnerable to adversarial patches, which are physically realizable and stealthy, raising new security concerns on the real-world applications of these models.
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.
2 code implementations • ICCV 2021 • Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, Qixiang Ye
TS-CAM finally couples the patch tokens with the semantic-agnostic attention map to achieve semantic-aware localization.
no code implementations • 4 Feb 2021 • Bhavtosh Rath, Wei Gao, Jaideep Srivastava
In this paper we base our idea on Computational Trust in social networks to propose a novel Community Health Assessment model against fake news.
Community Detection Social and Information Networks
no code implementations • 21 Jan 2021 • Florian Rupprecht, Sören Enge, Kornelius Schmidt, Wei Gao, Clemens Kirschbaum, Robert Miller
While there are many different methods for peak detection, no automatic methods for marking peak boundaries to calculate area under the curve (AUC) and signal-to-noise ratio (SNR) estimation exist.
no code implementations • 12 Jan 2021 • Wei Gao, Jie Chen, Cédric Richard
Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient convergence behavior has been reported yet.
no code implementations • COLING 2020 • Jing Ma, Wei Gao
Rumors are manufactured with no respect for accuracy, but can circulate quickly and widely by {``}word-of-post{''} through social media conversations.
no code implementations • NeurIPS 2020 • Wei Gao, Zhi-Hua Zhou
We get a convergence rate O(n^{-{1}/(d+2)}(\ln n)^{{1}/(d+2)}) for the variant of random forests, which reaches the minimax rate, except for a factor (\ln n)^{{1}/(d+2)}, of the optimal plug-in classifier under the L-Lipschitz assumption.
3 code implementations • CVPR 2021 • Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu
Comprehensive evaluations demonstrate that the policies discovered by our method can defeat existing reconstruction attacks in collaborative learning, with high efficiency and negligible impact on the model performance.
1 code implementation • 22 Oct 2020 • Jinxu Liu, Wei Gao, Zhanyi Hu
Unlike loose coupling approaches and the EKF-based approaches in the literature, we propose an optimization-based visual-inertial SLAM tightly coupled with raw Global Navigation Satellite System (GNSS) measurements, a first attempt of this kind in the literature to our knowledge.
Robotics
no code implementations • 14 Oct 2020 • Dinghao Yang, Wei Gao
In this paper, we propose a point cloud classification method based on graph neural network and manifold learning.
Ranked #67 on 3D Point Cloud Classification on ModelNet40
no code implementations • 24 Mar 2020 • Xiaolei Li, Wenhua Song, Dazhi Gao, Wei Gao, Haozhong Wan
A U-Net is trained to recover acoustic interference striations (AISs) from distorted ones.
no code implementations • 1 Feb 2020 • Jinxu Liu, Wei Gao, Zhanyi Hu
the extrinsic parameters before the first turning, which is a complement of the existing results of observability analyses.
Robotics
no code implementations • IJCNLP 2019 • Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang
Customers ask questions and customer service staffs answer their questions, which is the basic service model via multi-turn customer service (CS) dialogues on E-commerce platforms.
no code implementations • 25 Sep 2019 • Junren Luo, Wei Gao, Zhiyong Liao, Weilin Yuan, Wanpeng Zhang, Shaofei Chen
Goal recognition based on the observations of the behaviors collected online has been used to model some potential applications.
no code implementations • 22 Sep 2019 • Jiangtao Duan, Wei Gao, Hao Qu, Hon Keung Tony
The factor loadings are assumed to be in different subspaces and the subspace clustering for factor loadings are considered.
no code implementations • 16 Sep 2019 • Wei Gao, Russ Tedrake
Using the proposed hybrid object representation, we formulate the manipulation task as a motion planning problem which encodes both the object target configuration and physical feasibility for a category of objects.
no code implementations • 17 Jul 2019 • Bin-Bin Yang, Song-Qing Shen, Wei Gao
Decision trees have attracted much attention during the past decades.
no code implementations • ACL 2019 • Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong
Claim verification is generally a task of verifying the veracity of a given claim, which is critical to many downstream applications.
no code implementations • ICLR 2019 • Wei Gao, Yi Wei, Quanquan Li, Hongwei Qin, Wanli Ouyang, Junjie Yan
Hints can improve the performance of student model by transferring knowledge from teacher model.
1 code implementation • 30 Apr 2019 • Wei Gao, Russ Tedrake
We contribute a dense SLAM system that takes a live stream of depth images as input and reconstructs non-rigid deforming scenes in real time, without templates or prior models.
no code implementations • 16 Apr 2019 • Bin Wen, Jianhou Gan, Juan L. G. Guirao, Wei Gao
With the rise of knowledge management and knowledge economy, the knowledge elements that directly link and embody the knowledge system have become the research focus and hotspot in certain areas.
no code implementations • 15 Mar 2019 • Lucas Manuelli, Wei Gao, Peter Florence, Russ Tedrake
However, representing an object with a parameterized transformation defined on a fixed template cannot capture large intra-category shape variation, and specifying a target pose at a category level can be physically infeasible or fail to accomplish the task -- e. g. knowing the pose and size of a coffee mug relative to some canonical mug is not sufficient to successfully hang it on a rack by its handle.
Robotics
no code implementations • 28 Feb 2019 • Wei Gao, Yongqing Huo, Yan Qiao
And numerous researches are concentrated on spatial domain and jpeg domain.
1 code implementation • CVPR 2019 • Wei Gao, Russ Tedrake
Additionally, we present a simple and efficient twist parameterization that generalizes our method to the registration of articulated and deformable objects.
no code implementations • 31 Oct 2018 • Guoqiang Zhong, Wencong Jiao, Wei Gao
Based on reinforcement learning and taking advantages of the superiority of these networks, we propose a novel automatic process to design a multi-block neural network, whose architecture contains multiple types of blocks mentioned above, with the purpose to do structure learning of deep neural networks and explore the possibility whether different blocks can be composed together to form a well-behaved neural network.
no code implementations • EMNLP 2018 • Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
Then the attention-based CNN model is incorporated into a novel adversarial cross-lingual learning framework, in which with the help of user properties as bridge between languages, we can extract the language-specific features and language-independent features to enrich the user post representation so as to alleviate the data insufficiency problem.
1 code implementation • 11 Jul 2018 • Guoqiang Zhong, Wei Gao, Yongbin Liu, Youzhao Yang
The deep convolutional generative adversarial networks (DCGANs) were then proposed to leverage the quality of generated images.
1 code implementation • ACL 2018 • Jing Ma, Wei Gao, Kam-Fai Wong
Automatic rumor detection is technically very challenging.
2 code implementations • 16 Oct 2017 • Wei Gao, David Hsu, Wee Sun Lee, ShengMei Shen, Karthikk Subramanian
How can a delivery robot navigate reliably to a destination in a new office building, with minimal prior information?
no code implementations • ACL 2017 • Jing Ma, Wei Gao, Kam-Fai Wong
How fake news goes viral via social media?
no code implementations • 19 Apr 2017 • Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou
Despite being so vital to success of Support Vector Machines, the principle of separating margin maximisation is not used in deep learning.
no code implementations • NeurIPS 2018 • Ming Pang, Wei Gao, Min Tao, Zhi-Hua Zhou
This work considers a different attack style: unorganized malicious attacks, where attackers individually utilize a small number of user profiles to attack different items without any organizer.
no code implementations • 26 Jul 2016 • Wei Gao, Bin-Bin Yang, Zhi-Hua Zhou
The theoretical results show that, for asymmetric noises, k-nearest neighbor is robust enough to classify most data correctly, except for a handful of examples, whose labels are totally misled by random noises.
no code implementations • 26 Apr 2016 • Rizhen Qin, Wei Gao, Huarong Xu, Zhanyi Hu
The classification results show that the personality traits "Rule-consciousness" and "Vigilance" can be predicted reliably, and that the traits of females can be predicted more accurately than those of male.
no code implementations • 24 Nov 2015 • Ashwin Nanjappa, Li Cheng, Wei Gao, Chi Xu, Adam Claridge-Chang, Zoe Bichler
We focus on the challenging problem of efficient mouse 3D pose estimation based on static images, and especially single depth images.
no code implementations • SEMEVAL 2015 • Massimo Nicosia, Simone Filice, Alberto Barr{\'o}n-Cede{\~n}o, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Aless Moschitti, ro, Kareem Darwish, Llu{\'\i}s M{\`a}rquez, Shafiq Joty, Walid Magdy
no code implementations • LREC 2014 • Kareem Darwish, Wei Gao
Despite many recent papers on Arabic Named Entity Recognition (NER) in the news domain, little work has been done on microblog NER.
no code implementations • 16 Feb 2014 • Wei Gao, Zhi-Hua Zhou
Great successes of deep neural networks have been witnessed in various real applications.
no code implementations • 31 Oct 2013 • Jie Chen, Wei Gao, Cédric Richard, Jose-Carlos M. Bermudez
In addition to choosing a reproducing kernel and setting filter parameters, designing a KLMS adaptive filter requires to select a so-called dictionary in order to get a finite-order model.
no code implementations • 22 Jun 2013 • Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang
Unfortunately, an undesirable characteristic of these methods is that the order of the filters grows linearly with the number of input data.
no code implementations • 7 May 2013 • Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou
AUC is an important performance measure and many algorithms have been devoted to AUC optimization, mostly by minimizing a surrogate convex loss on a training data set.
no code implementations • 3 Aug 2012 • Wei Gao, Zhi-Hua Zhou
Based on this result, we prove that exponential loss and logistic loss are consistent with AUC, but hinge loss is inconsistent.
no code implementations • 19 Sep 2010 • Wei Gao, Zhi-Hua Zhou
Margin theory provides one of the most popular explanations to the success of \texttt{AdaBoost}, where the central point lies in the recognition that \textit{margin} is the key for characterizing the performance of \texttt{AdaBoost}.