1 code implementation • ACL 2022 • Daniel Zhang-li, Jing Zhang, Jifan Yu, Xiaokang Zhang, Peng Zhang, Jie Tang, Juanzi Li
We investigate the usage of entity linking (EL)in downstream tasks and present the first modularized EL toolkit for easy task adaptation.
1 code implementation • COLING 2022 • Minghao Tang, Peng Zhang, Yongquan He, Yongxiu Xu, Chengpeng Chao, Hongbo Xu
Cross-domain named entity recognition aims to improve performance in a target domain with shared knowledge from a well-studied source domain.
Cross-Domain Named Entity Recognition Machine Reading Comprehension +2
no code implementations • EMNLP 2021 • Sixuan Wu, Jian Li, Peng Zhang, Yue Zhang
Recent research has investigated quantum NLP, designing algorithms that process natural language in quantum computers, and also quantum-inspired algorithms that improve NLP performance on classical computers.
no code implementations • ACL 2022 • Ningning Wang, Guobing Gan, Peng Zhang, Shuai Zhang, Junqiu Wei, Qun Liu, Xin Jiang
Other sparse methods use clustering patterns to select words, but the clustering process is separate from the training process of the target task, which causes a decrease in effectiveness.
no code implementations • 23 May 2023 • Hai Hu, Ziyin Zhang, Weifang Huang, Jackie Yan-Ki Lai, Aini Li, Yina Ma, Jiahui Huang, Peng Zhang, Rui Wang
Years have passed since the NLP community has last focused on linguistic acceptability.
no code implementations • 25 Apr 2023 • Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu
We propose a binary stochastic learning algorithm that modifies all elementary neural network operations, by introducing (i) stochastic binarization of both the forwarding signals and the activation function derivatives, (ii) signed binarization of the backpropagating errors, and (iii) step-wised weight updates.
no code implementations • 23 Apr 2023 • Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Specifically, TriSIM4Rec consists of 1) a dynamic ideal low-pass graph filter to dynamically mine co-occurrence information in user-item interactions, which is implemented by incremental singular value decomposition (SVD); 2) a parameter-free attention module to capture sequential information of user interactions effectively and efficiently; and 3) an item transition matrix to store the transition probabilities of item pairs.
no code implementations • 11 Mar 2023 • Junwen Xiong, Ganglai Wang, Peng Zhang, Wei Huang, Yufei zha, Guangtao Zhai
Incorporating the audio stream enables Video Saliency Prediction (VSP) to imitate the selective attention mechanism of human brain.
1 code implementation • 3 Mar 2023 • Chathura Gamage, Vimukthini Pinto, Cheng Xue, Peng Zhang, Ekaterina Nikonova, Matthew Stephenson, Jochen Renz
But is it enough to only have physical reasoning capabilities to operate in a real physical environment?
no code implementations • 10 Feb 2023 • Boyang Wang, Pan Chen, Peng Zhang, Shao Li
And we collected 25 formulae (with traditional effects related to Cold/Hot ZHENG) for CG and corresponding 89 Cold/Hot herbs (including Warm/Cool herbs) to discover features and construct target networks of Cold/Hot herbs on the basis of network target and enrichment analysis.
no code implementations • 4 Feb 2023 • Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
However, the interaction signal may not be sufficient to accurately characterize user interests and the low-pass filters may ignore the useful information contained in the high-frequency component of the observed signals, resulting in suboptimal accuracy.
no code implementations • 31 Jan 2023 • Bingchuan Li, Tianxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, Zili Yi
Specifically, in Phase I, a W-space-oriented StyleGAN inversion network is trained and used to perform image inversion and editing, which assures the editability but sacrifices reconstruction quality.
no code implementations • 23 Jan 2023 • Huifang Huang, Ting Gao, Pengbo Li, Jin Guo, Peng Zhang, Nan Du
With the fast development of quantitative portfolio optimization in financial engineering, lots of AI-based algorithmic trading strategies have demonstrated promising results, among which reinforcement learning begins to manifest competitive advantages.
1 code implementation • 19 Jan 2023 • Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou
Specifically, the bit-wise correlation calculates the element-wise attention weight through a multi-layer perceptron (MLP) based on the dense representations of two nodes and their edge; The feature-wise correlation is based on the one-hot representations of node attribute features for feature selection.
Ranked #1 on Node Property Prediction on ogbn-proteins
no code implementations • CVPR 2023 • Junwen Xiong, Ganglai Wang, Peng Zhang, Wei Huang, Yufei zha, Guangtao Zhai
Incorporating the audio stream enables Video Saliency Prediction (VSP) to imitate the selective attention mechanism of human brain.
1 code implementation • 1 Dec 2022 • Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Many Click-Through Rate (CTR) prediction works focused on designing advanced architectures to model complex feature interactions but neglected the importance of feature representation learning, e. g., adopting a plain embedding layer for each feature, which results in sub-optimal feature representations and thus inferior CTR prediction performance.
1 code implementation • 21 Nov 2022 • Decai Chen, Peng Zhang, Ingo Feldmann, Oliver Schreer, Peter Eisert
Recent works on implicit neural representations have made significant strides.
no code implementations • 2 Nov 2022 • Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long
Reinforcement Learning (RL)-based control system has received considerable attention in recent decades.
no code implementations • 2 Nov 2022 • Peng Zhang, Ruoyin Xie, Jinsheng Sun, Weiqing Li, Zhiyong Su
Given an input point cloud of arbitrary size, we first perform a task-agnostic pre-sampling on the input point cloud to a specified sample size.
no code implementations • 2 Nov 2022 • Zhuheng Lu, Peng Zhang, Yuewei Dai, Weiqing Li, Zhiyong Su
Secondly, the WHCN takes the hypergraph as input and learns to predict high-precision point-level pseudo labels by label propagation.
1 code implementation • 27 Oct 2022 • Guobing Gan, Peng Zhang, Sunzhu Li, Xiuqing Lu, Benyou Wang
In the era of deep learning, word embeddings are essential when dealing with text tasks.
1 code implementation • 15 Oct 2022 • Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Dynamic interaction graphs have been widely adopted to model the evolution of user-item interactions over time.
1 code implementation • 14 Oct 2022 • Daiheng Gao, Yuliang Xiu, Kailin Li, Lixin Yang, Feng Wang, Peng Zhang, Bang Zhang, Cewu Lu, Ping Tan
Unity GUI is also provided to generate synthetic hand data with user-defined settings, e. g., pose, camera, background, lighting, textures, and accessories.
no code implementations • 8 Oct 2022 • Jie Liu, Jingjing Wang, Peng Zhang, Chunmao Wang, Di Xie, ShiLiang Pu
To overcome these limitations, we propose a multi-scale wavelet transformer framework for face forgery detection.
5 code implementations • 5 Oct 2022 • Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, WenGuang Chen, Peng Zhang, Yuxiao Dong, Jie Tang
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model with 130 billion parameters.
Ranked #1 on Language Modelling on CLUE (CMRC2018)
no code implementations • 29 Sep 2022 • Yeqing Lin, Rongen Dong, Peng Zhang, Feng Shu, Jiangzhou Wang
To reduce the computational complexity, a new method of maximizing receive power with zero-forcing constraint (Max-RP-ZFC) of only reflecting CM and no AN is proposed.
no code implementations • 5 Sep 2022 • Yice Cao, Yan Wu, Ming Li, Mingjie Zheng, Peng Zhang, Jili Wang
Finally, an adaptive weighting fusion (AWF) strategy is proposed to merge inference from different bands, so as to make the MF joint classification decisions of SIC and TPC.
no code implementations • 25 Aug 2022 • Fei Feng, Yifan Zhou, Peng Zhang
We devise neuro-dynamic state estimation (Neuro-DSE), a learning-based dynamic state estimation (DSE) algorithm for networked microgrids (NMs) under unknown subsystems.
no code implementations • 15 Aug 2022 • Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang
Paper recommendation with user-generated keyword is to suggest papers that simultaneously meet user's interests and are relevant to the input keyword.
Click-Through Rate Prediction Graph Representation Learning +1
no code implementations • 28 Jul 2022 • Ekaterina Nikonova, Cheng Xue, Vimukthini Pinto, Chathura Gamage, Peng Zhang, Jochen Renz
In this paper, we propose to define the novelty reaction difficulty as a relative difficulty of performing the known task after the introduction of the novelty.
1 code implementation • 28 Jul 2022 • Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
Inductive link prediction for knowledge graph aims at predicting missing links between unseen entities, those not shown in training stage.
no code implementations • 14 Jul 2022 • Zhanzhan Cheng, Peng Zhang, Can Li, Qiao Liang, Yunlu Xu, Pengfei Li, ShiLiang Pu, Yi Niu, Fei Wu
Most existing methods divide this task into two subparts: the text reading part for obtaining the plain text from the original document images and the information extraction part for extracting key contents.
no code implementations • 6 Jul 2022 • Qingya Li, Xiangzhi Liu, Fuqiang Wang, Shuai Wang, Peng Zhang, Xiaoming Wu
In this paper, a novel framework based on generational and environmental response strategies (FGERS) is proposed, in which response strategies are run both in the environmental change stage and the environmental static stage to obtain population evolution information of those both stages.
no code implementations • 1 Jun 2022 • Peng Zhang, Yuwei Zhang, Nuo Xu
Faced with increasingly severe environmental problems, carbon trading markets and related financial activities aiming at limiting carbon dioxide emissions are booming.
no code implementations • 1 Jun 2022 • Hao Wu, Yifan Miao, Peng Zhang, Yang Tian, Hui Tian
Industrial Internet of Things is an ultra-large-scale system that is much more sophisticated and fragile than conventional industrial platforms.
no code implementations • 30 May 2022 • Huifang Huang, Ting Gao, Yi Gui, Jin Guo, Peng Zhang
Reinforcement learning (RL) is gaining attention by more and more researchers in quantitative finance as the agent-environment interaction framework is aligned with decision making process in many business problems.
no code implementations • 25 May 2022 • Yicong Zhu, Changnian Han, Peng Zhang, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
We have developed an AI-aided multiple time stepping (AI-MTS) algorithm and multiscale modeling framework (AI-MSM) and implemented them on the Summit-like supercomputer, AIMOS.
no code implementations • 27 Apr 2022 • Xichao Zhan, YiWen Chen, Feng Shu, Xin Cheng, Yuanyuan Wu, Qi Zhang, Yifang Li, Peng Zhang
In the proposed Max-RP-QI, a quadratic interpolation scheme is adopted to interpolate the three DOA values corresponding to the largest three receive powers of Max-RP.
1 code implementation • 19 Apr 2022 • Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
However, most methods only learn a fixed representation for each feature without considering the varying importance of each feature under different contexts, resulting in inferior performance.
no code implementations • 16 Apr 2022 • Di wu, Peng Zhang, Yi He, Xin Luo
High-dimensional and sparse (HiDS) matrices are omnipresent in a variety of big data-related applications.
no code implementations • CVPR 2022 • Yuzhe Yang, Liwu Xu, Leida Li, Nan Qie, Yaqian Li, Peng Zhang, Yandong Guo
To solve the dilemma, we conduct so far, the most comprehensive subjective study of personalized image aesthetics and introduce a new Personalized image Aesthetics database with Rich Attributes (PARA), which consists of 31, 220 images with annotations by 438 subjects.
no code implementations • 10 Mar 2022 • Ganglai Wang, Peng Zhang, Lei Xie, Wei Huang, Yufei zha, Yanning Zhang
DeepFake based digital facial forgery is threatening the public media security, especially when lip manipulation has been used in talking face generation, the difficulty of fake video detection is further improved.
no code implementations • 8 Mar 2022 • Ganglai Wang, Peng Zhang, Lei Xie, Wei Huang, Yufei zha
Rather than focusing on the unimportant regions of the face image, the proposed AttnWav2Lip model is able to pay more attention on the lip region reconstruction.
no code implementations • 5 Mar 2022 • Junwen Xiong, Peng Zhang, Lei Xie, Wei Huang, Yufei zha, Yanning Zhang
Multi-modal based speech separation has exhibited a specific advantage on isolating the target character in multi-talker noisy environments.
1 code implementation • 4 Mar 2022 • Junwen Xiong, Yu Zhou, Peng Zhang, Lei Xie, Wei Huang, Yufei zha
Active speaker detection and speech enhancement have become two increasingly attractive topics in audio-visual scenario understanding.
no code implementations • 23 Feb 2022 • Rui Gao, Fan Wan, Daniel Organisciak, Jiyao Pu, Junyan Wang, Haoran Duan, Peng Zhang, Xingsong Hou, Yang Long
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i. e., training a classifier with zero real data.
no code implementations • 21 Feb 2022 • Ying Bian, Peng Zhang, Jingjing Wang, Chunmao Wang, ShiLiang Pu
However, many other generalizable cues are unexplored for face anti-spoofing, which limits their performance under cross-dataset testing.
no code implementations • 10 Feb 2022 • Yingzhanghao Zhou, Xiang Chen, Peng Zhang, Jun Wang, Lei Wang, Hong Guo
Since proposed in the 70s, the Non-Equilibrium Green Function (NEGF) method has been recognized as a standard approach to quantum transport simulations.
no code implementations • 4 Feb 2022 • Shuaishuai Guo, Yanhu Wang, Peng Zhang
Semantic communications target to reliably convey the semantic meaning of messages.
no code implementations • 31 Dec 2021 • Dawei Wang, Lingping Gao, Ziquan Lan, Wei Li, Jiaping Ren, Jiahui Zhang, Peng Zhang, Pei Zhou, Shengao Wang, Jia Pan, Dinesh Manocha, Ruigang Yang
Recently, there have been many advances in autonomous driving society, attracting a lot of attention from academia and industry.
1 code implementation • 27 Dec 2021 • Tianyi Zhang, Yunlu Feng, Yu Zhao, Guangda Fan, Aiming Yang, Shangqin Lyu, Peng Zhang, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Guanglei Zhang
Pancreatic cancer is one of the most malignant cancers in the world, which deteriorates rapidly with very high mortality.
no code implementations • 11 Dec 2021 • Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen
Correlations between imaging findings and clinical lab tests suggested the value of this system as a potential tool to assess disease severity of COVID-19.
1 code implementation • 10 Oct 2021 • Xiangyu Zhao, Peng Zhang, Fan Song, Chenbin Ma, Guangda Fan, Yangyang Sun, Youdan Feng, Guanglei Zhang
The proposed network can be regarded as a universal solution to multi-lesion segmentation in both 2D and 3D tasks.
no code implementations • 29 Sep 2021 • Jing Zhang, Peng Zhang, Yupeng He, Siwei Rao, Jun Wang, Guangjian Tian
In this framework, we derive the mathematical representation of the variable space, and then use a tensor network based on the idea of low-rank approximation to model the variable space.
1 code implementation • 22 Sep 2021 • Bingchuan Li, Shaofei Cai, Wei Liu, Peng Zhang, Qian He, Miao Hua, Zili Yi
To address these limitations, we design a Dynamic Style Manipulation Network (DyStyle) whose structure and parameters vary by input samples, to perform nonlinear and adaptive manipulation of latent codes for flexible and precise attribute control.
1 code implementation • 31 Aug 2021 • Cheng Xue, Vimukthini Pinto, Chathura Gamage, Ekaterina Nikonova, Peng Zhang, Jochen Renz
Inspired by how human IQ is calculated, we define the physical reasoning quotient (Phy-Q score) that reflects the physical reasoning intelligence of an agent using the physical scenarios we considered.
2 code implementations • 17 Aug 2021 • Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang
To achieve the contrastive objective, we design a graph neural network encoder that can infer and further remove suspicious links during message passing, as well as learn the global context of the input graph.
1 code implementation • 31 Jul 2021 • Jingxian Sun, Lichao Zhang, Yufei zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang
To solve this problem, we propose to distill representations of the TIR modality from the RGB modality with Cross-Modal Distillation (CMD) on a large amount of unlabeled paired RGB-TIR data.
1 code implementation • 17 Jun 2021 • Cheng Xue, Vimukthini Pinto, Chathura Gamage, Peng Zhang, Jochen Renz
In this paper, we propose a new benchmark for physical reasoning that allows us to test individual physical reasoning capabilities.
1 code implementation • 13 Jun 2021 • Yunzhe Hao, Jiaming Xu, Peng Zhang, Bo Xu
In the speaker extraction problem, it is found that additional information from the target speaker contributes to the tracking and extraction of the target speaker, which includes voiceprint, lip movement, facial expression, and spatial information.
no code implementations • 18 May 2021 • Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
PDN utilizes Trigger Net to capture the user's interest in each of his/her interacted item, and Similarity Net to evaluate the similarity between each interacted item and the target item based on these items' profile and CF information.
2 code implementations • 13 May 2021 • Qinkai Zheng, Houyi Li, Peng Zhang, Zhixiong Yang, Guowei Zhang, Xintan Zeng, Yongchao Liu
Graph neural networks (GNNs) have been popularly used in analyzing graph-structured data, showing promising results in various applications such as node classification, link prediction and network recommendation.
Ranked #1 on Node Property Prediction on ogbn-proteins
1 code implementation • 13 May 2021 • Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, ShiLiang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu
In this paper, we aim to obtain more reliable aligned bounding boxes by fully utilizing the visual information from both text regions in proposed local features and cell relations in global features.
Ranked #6 on Table Recognition on PubTabNet
no code implementations • 13 May 2021 • Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, ShiLiang Pu, Yi Niu, Fei Wu
To address the above limitations, we propose a unified framework VSR for document layout analysis, combining vision, semantics and relations.
no code implementations • 11 May 2021 • Wenkai Liang, Yan Wu, Ming Li, Peng Zhang, Yice Cao, Xin Hu
To address this problem, a novel end-to-end supervised classification method is proposed for HR SAR images by considering both spatial context and statistical features.
1 code implementation • 21 Apr 2021 • Yongchao Liu, Houyi Li, Guowei Zhang, Xintan Zeng, Yongyong Li, Bin Huang, Peng Zhang, Zhao Li, Xiaowei Zhu, Changhua He, WenGuang Chen
Herein, we present GraphTheta, the first distributed and scalable graph learning system built upon vertex-centric distributed graph processing with neural network operators implemented as user-defined functions.
no code implementations • 10 Apr 2021 • Yifan Zhou, Peng Zhang
Transient stability assessment (TSA) is a cornerstone for resilient operations of today's interconnected power grids.
no code implementations • CVPR 2021 • Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin
To address this limitation, we propose to Learn position and target Consistency framework for Memory-based video object segmentation, termed as LCM.
One-shot visual object segmentation Semantic Segmentation +1
no code implementations • 5 Apr 2021 • Liangrui Pan, Peng Zhang, Chalongrat Daengngam, Mitchai Chongcheawchamnan
This review summarizes the work of Raman spectroscopy in identifying the composition of substances and reviews the preprocessing process of Raman spectroscopy, the analysis methods and applications of artificial intelligence.
1 code implementation • 3 Mar 2021 • Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang
Academic knowledge services have substantially facilitated the development of the science enterprise by providing a plenitude of efficient research tools.
1 code implementation • 1 Mar 2021 • Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
In CogDL, we propose a unified design for the training and evaluation of GNN models for various graph tasks, making it unique among existing graph learning libraries.
1 code implementation • 10 Feb 2021 • Xiangyu Zhao, Peng Zhang, Fan Song, Guangda Fan, Yangyang Sun, Yujia Wang, Zheyuan Tian, Luqi Zhang, Guanglei Zhang
In this paper we propose a dilated dual attention U-Net (D2A U-Net) for COVID-19 lesion segmentation in CT slices based on dilated convolution and a novel dual attention mechanism to address the issues above.
no code implementations • 13 Jan 2021 • Yifan Zhou, Peng Zhang
A neural ordinary differential equations network (ODE-Net)-enabled reachability method (Neuro-Reachability) is devised for the dynamic verification of networked microgrids (NMs) with unidentified subsystems and heterogeneous uncertainties.
no code implementations • 1 Jan 2021 • Peng Zhang, Furui Liu, Zhitang Chen, Jianye Hao, Jun Wang
Reinforcement Learning (RL) has shown great potential to deal with sequential decision-making problems.
no code implementations • 1 Jan 2021 • Peng Zhang, Jing Zhang, Xindian Ma, Siwei Rao, Guangjian Tian, Jun Wang
As a novel model that bridges machine learning and quantum theory, tensor network (TN) has recently gained increasing attention and successful applications for processing natural images.
no code implementations • 23 Dec 2020 • Jérôme Weiss, Peng Zhang, Oguz Umut Salman, Gang Liu, Lev Truskinovsky
We link this new size effect with other related phenomena like size dependence of strength ("smaller is stronger") and the size induced switch between different hardening mechanisms.
Mesoscale and Nanoscale Physics Materials Science Statistical Mechanics Computational Physics
no code implementations • 22 Dec 2020 • Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao GAO, Shi-Ju Ran
Tensor network, which originates from quantum physics, is emerging as an efficient tool for classical and quantum machine learning.
1 code implementation • 17 Dec 2020 • Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang
Our method can compensate for the data biases by generating balanced data without introducing external annotations.
no code implementations • 15 Dec 2020 • Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen
To handle different types of Many-Objective Optimization Problems (MaOPs), Many-Objective Evolutionary Algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space.
2 code implementations • 14 Dec 2020 • Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang
In this paper, we propose CODE, which first pre-trains an expert linking model by contrastive learning on AMiner such that it can capture the representation and matching patterns of experts without supervised signals, then it is fine-tuned between AMiner and external sources to enhance the models transferability in an adversarial manner.
no code implementations • 29 Nov 2020 • Peng Zhang, Jiaming Xu, Jing Shi, Yunzhe Hao, Bo Xu
In our model, we use the face detector to detect the number of speakers in the scene and use visual information to avoid the permutation problem.
no code implementations • 15 Nov 2020 • Peng Zhang, Yongchun Fang, Xiao Liang, He Lin, wei he
Due to the limitation of the drone's load capacity, various specific tasks need to be accomplished by multiple drones in collaboration.
Dynamical Systems Systems and Control Systems and Control
no code implementations • 9 Sep 2020 • Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitcham Chongcheawchamnan
It is shown that output SNR of the proposed noise reduction technology is 10. 24 dB greater than that of the wavelet noise reduction method while the RMSE and the MAPE are 292. 63 and 10. 09, which are much better than the proposed technique.
no code implementations • 3 Aug 2020 • Shuaishuai Guo, Jia Ye, Peng Zhang, Haixia Zhang, Mohamed-Slim Alouini
Reconfigurable intelligent surface (RIS) based communications have emerged as a new paradigm.
no code implementations • 28 Jul 2020 • Shuai Zhang, Peng Zhang, Xindian Ma, Junqiu Wei, Ningning Wang, Qun Liu
Transformer has been widely-used in many Natural Language Processing (NLP) tasks and the scaled dot-product attention between tokens is a core module of Transformer.
no code implementations • 23 Jun 2020 • Shuaishuai Guo, Haixia Zhang, Peng Zhang, Shuping Zhang, Chengcheng Xu, Mohamed-Slim Alouini
Specifically, we firstly propose a joint optimization based signal shaping (JOSS) approach, in which the symbol vector sets used for all analog precoder activation states are jointly optimized by solving a series of quadratically constrained quadratic programming (QCQP) problems.
1 code implementation • 27 May 2020 • Peng Zhang, Yunlu Xu, Zhanzhan Cheng, ShiLiang Pu, Jing Lu, Liang Qiao, Yi Niu, Fei Wu
Since real-world ubiquitous documents (e. g., invoices, tickets, resumes and leaflets) contain rich information, automatic document image understanding has become a hot topic.
no code implementations • 6 May 2020 • De-Sheng Wang, Jiawei Liu, Xiang Qi, Baolin Sun, Peng Zhang
The results demonstrate the effectiveness of our method, which outperforms the baseline on 10 kinds of data and achieves nearly 50 percent improvement on average.
no code implementations • 9 Apr 2020 • You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy
However, it is challenging to use low-cost IoT devices for robust unsupervised localization (i. e., localization without training data that have known location labels).
1 code implementation • 5 Mar 2020 • Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang
This article presents an automatic approach to quickly derive a good solution for hardware resource partition and task granularity for task-based parallel applications on heterogeneous many-core architectures.
no code implementations • 18 Feb 2020 • Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
Our framework consists of a fuzzy rule controller to represent human knowledge and a refine module to fine-tune suboptimal prior knowledge.
1 code implementation • ICLR 2020 • Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen
The benefit of continuous functions over variable positions is that word representations shift smoothly with increasing positions.
no code implementations • 18 Dec 2019 • Shuaishuai Guo, Shuheng Lv, Haixia Zhang, Jia Ye, Peng Zhang
This paper proposes a reflecting modulation (RM) scheme for RIS-based communications, where both the reflecting patterns and transmit signals can carry information.
1 code implementation • 11 Nov 2019 • Shiming Chen, Peng Zhang, Guo-Sen Xie, Qinmu Peng, Zehong Cao, Wei Yuan, Xinge You
Dynamic texture (DT) exhibits statistical stationarity in the spatial domain and stochastic repetitiveness in the temporal dimension, indicating that different frames of DT possess a high similarity correlation that is critical prior knowledge.
1 code implementation • 8 Nov 2019 • Christopher Harshaw, Fredrik Sävje, Daniel Spielman, Peng Zhang
The design of experiments involves an inescapable compromise between covariate balance and robustness.
Methodology Data Structures and Algorithms Statistics Theory Statistics Theory
1 code implementation • 29 Sep 2019 • Yice Cao, Yan Wu, Peng Zhang, Wenkai Liang, Ming Li
CV-FCN employs a complex downsampling-then-upsampling scheme to extract dense features.
no code implementations • 25 Sep 2019 • Xindian Ma, Peng Zhang, Xiaoliu Mao, Yehua Zhang, Nan Duan, Yuexian Hou, Ming Zhou.
Then, we show that the lower bound of such a separation rank can reveal the quantitative relation between the network structure (e. g. depth/width) and the modeling ability for the contextual dependency.
no code implementations • 25 Sep 2019 • Peng Zhang, Xiaoliu Mao, Xindian Ma, Benyou Wang, Jing Zhang, Jun Wang, Dawei Song
We prove that by a mapping (via the trace operator) on the high-dimensional matching matrix, a low-dimensional attention matrix can be derived.
no code implementations • IJCNLP 2019 • Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab
In this work, we propose a context-aware self-attentive NLU (CASA-NLU) model that uses multiple signals, such as previous intents, slots, dialog acts and utterances over a variable context window, in addition to the current user utterance.
no code implementations • 15 Sep 2019 • Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang
By defining reward as a function of NDCG, we can optimize our model directly on the ranking performance measure.
1 code implementation • 28 Aug 2019 • Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
Finally, by sequentially examining each state transition in the video graph, our method can detect and explain how those actions are executed with prior knowledge, just like the logical manner of thinking by humans.
no code implementations • 6 Aug 2019 • Peng Zhang, Xinyu Zhu, Zhanzhan Cheng, Shuigeng Zhou, Yi Niu
Fine-grained image recognition has been a hot research topic in computer vision due to its various applications.
no code implementations • 12 Jul 2019 • Yazhou Zhang, Lingling Song, Dawei Song, Peng Guo, Junwei Zhang, Peng Zhang
Existing sentiment analysis approaches are insufficient in modelling the interactions among people.
no code implementations • 1 Jul 2019 • Wenyao Liu, Lu Cao, Shiyu Zhu, Lingyuan Kong, Guangwei Wang, Michal Papaj, Peng Zhang, Yabin Liu, Hui Chen, Geng Li, Fazhi Yang, Takeshi Kondo, Shixuan Du, Guanghan Cao, Shik Shin, Liang Fu, Zhiping Yin, Hong-Jun Gao, Hong Ding
On the other hand, some iron-pnictide (Fe-As) superconductors, such as LiFeAs, have been demonstrated to have a similar topological band structure, yet no MZM has been observed in its vortex cores, raising a question of universality of MZM presence in iron-based superconductors.
Superconductivity Strongly Correlated Electrons
1 code implementation • NeurIPS 2019 • Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Dawei Song, Ming Zhou
In this paper, based on the ideas of tensor decomposition and parameters sharing, we propose a novel self-attention model (namely Multi-linear attention) with Block-Term Tensor Decomposition (BTD).
1 code implementation • 30 May 2019 • Tommy Liu, Jochen Renz, Peng Zhang, Matthew Stephenson
Over the past few years the Angry Birds AI competition has been held in an attempt to develop intelligent agents that can successfully and efficiently solve levels for the video game Angry Birds.
no code implementations • 10 May 2019 • Peng Zhang, Xiaoyu Ge, Jochen Renz
Understanding physical relations between objects, especially their support relations, is crucial for robotic manipulation.
2 code implementations • 22 Apr 2019 • Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
Face Anti-spoofing gains increased attentions recently in both academic and industrial fields.
1 code implementation • 22 Apr 2019 • Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
On node classification tasks, GraphNAS can design a novel network architecture that rivals the best human-invented architecture in terms of test set accuracy.
Ranked #11 on Node Classification on PPI
no code implementations • 1 Apr 2019 • Leyang Xue, Peng Zhang, An Zeng
Notably, an optimal parameter n* of ARL existed in long-term recommendation, indicating that there is a trade-off between keeping diversity of item and user's preference to maximize the long-term recommendation accuracy.
no code implementations • 29 Mar 2019 • Peng Zhang, Leyang Xue, An Zeng
The results show that the higher recommendation accuracy based on diffusion algorithms can still be achieved by optimizing the way of resource allocation on a density network.
1 code implementation • 19 Feb 2019 • Chaojie Zhao, Peng Zhang, Jian Zhu, Chengrui Wu, Huaimin Wang, Kele Xu
A challenge in speech production research is to predict future tongue movements based on a short period of past tongue movements.
no code implementations • 9 Feb 2019 • Chu Qin, Ying Tan, Shang Ying Chen, Xian Zeng, Xingxing Qi, Tian Jin, Huan Shi, Yiwei Wan, Yu Chen, Jingfeng Li, Weidong He, Yali Wang, Peng Zhang, Feng Zhu, Hongping Zhao, Yuyang Jiang, Yuzong Chen
We ex-plored the superior learning capability of deep autoencoders for unsupervised clustering of 1. 39 mil-lion bioactive molecules into band-clusters in a 3-dimensional latent chemical space.
1 code implementation • 31 Jan 2019 • Lipeng Zhang, Peng Zhang, Xindian Ma, Shuqin Gu, Zhan Su, Dawei Song
Theoretically, we prove that such tensor representation is a generalization of the n-gram language model.
no code implementations • 4 Jan 2019 • Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang
To this end, we introduce a new non-convex integrated transformed $\ell_1$ regularizer to promote sparsity for DNNs, which removes both redundant connections and unnecessary neurons simultaneously.
1 code implementation • 19 Nov 2018 • Peng Zhang, Shujian Yu, Jiamiao Xu, Xinge You, Xiubao Jiang, Xiao-Yuan Jing, DaCheng Tao
It remains a huge challenge to design effective and efficient trackers under complex scenarios, including occlusions, illumination changes and pose variations.
2 code implementations • ICDM 2018 • Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
To this end, we present a Binarized Attributed Network Embedding model (BANE for short) to learn binary node representation.
Ranked #1 on Link Prediction on Wiki
1 code implementation • IEEE Transactions on Image Processing 2019 • Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
Moreover, our method achieves better performance than the best unsupervised offline algorithm on the DAVIS-2016 benchmark dataset.
1 code implementation • 28 Aug 2018 • Peng Zhang, Zhan Su, Lipeng Zhang, Benyou Wang, Dawei Song
The recently proposed quantum language model (QLM) aimed at a principled approach to modeling term dependency by applying the quantum probability theory.
no code implementations • 6 Aug 2018 • Yinglong Ma, Peng Zhang, Jiangang Ma
By utilizing domain ontologies for judgment documents, the core semantics of Chinese judgment documents is summarized based on knowledge blocks.
no code implementations • 30 Jul 2018 • Jason Cong, Peng Wei, Cody Hao Yu, Peng Zhang
Such a well-defined template is able to support efficient accelerator designs for a broad class of computation kernels, and more importantly, drastically reduce the design space.
Distributed, Parallel, and Cluster Computing Hardware Architecture
1 code implementation • ECCV 2018 • Chaojian Yu, Xinyi Zhao, Qi Zheng, Peng Zhang, Xinge You
Fine-grained visual recognition is challenging because it highly relies on the modeling of various semantic parts and fine-grained feature learning.
no code implementations • 9 May 2018 • Yong Shi, Minglong Lei, Peng Zhang, Lingfeng Niu
In order to solve the limitations, we propose in this paper a network diffusion based embedding method.
no code implementations • 14 Mar 2018 • Matthew Stephenson, Jochen Renz, Xiaoyu Ge, Peng Zhang
This paper presents an overview of the sixth AIBIRDS competition, held at the 26th International Joint Conference on Artificial Intelligence.
no code implementations • 8 Feb 2018 • Peng Zhang, Jianbin Fang, Tao Tang, Canqun Yang, Zheng Wang
In this paper, we present an automatic approach to determine the hardware resource partition and the task granularity for any given application, targeting the Intel XeonPhi architecture.
3 code implementations • 30 May 2017 • Jun Wang, Lantao Yu, Wei-Nan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the discriminative retrieval focusing on predicting relevancy given a query-document pair.
no code implementations • 5 Apr 2017 • Archana Paladugu, Parag S. Chandakkar, Peng Zhang, Baoxin Li
Outdoor shopping complexes (OSC) are extremely difficult for people with visual impairment to navigate.
no code implementations • 20 Dec 2016 • Haishuai Wang, Jia Wu, Peng Zhang, Chengqi Zhang
For example, social network users are considered to be social sensors that continuously generate social signals (tweets) represented as a time series.
no code implementations • CVPR 2016 • Peng Zhang, Yash Goyal, Douglas Summers-Stay, Dhruv Batra, Devi Parikh
If the concept can be found in the image, the answer to the question is "yes", and otherwise "no".
no code implementations • CVPR 2015 • Peng Zhang, Wengang Zhou, Lei Wu, Houqiang Li
We propose to extract two types of features, one to measure the semantic obviousness of the image and the other to discover local characteristic.
Image Quality Estimation No-Reference Image Quality Assessment
no code implementations • CVPR 2014 • Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh
We show that a surprisingly straightforward and general approach, that we call ALERT, can predict the likely accuracy (or failure) of a variety of computer vision systems semantic segmentation, vanishing point and camera parameter estimation, and image memorability prediction on individual input images.