no code implementations • 20 Nov 2001 • Ming Li, Xin Chen, Xin Li, Bin Ma, Paul Vitanyi
A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied.
2 code implementations • 1 Jun 2005 • Zhi-Hua Zhou, Ming Li
In many practical machine learning and data min-ing applications, unlabeled training examples arereadily available but labeled ones are fairly expen-sive to obtain.
1 code implementation • 15 Sep 2008 • Paul M. B. Vitanyi, Frank J. Balbach, Rudi L. Cilibrasi, Ming Li
These practical realizations of the normalized information distance can then be applied to machine learning tasks, expecially clustering, to perform feature-free and parameter-free data mining.
no code implementations • 29 Apr 2015 • Qi Guo, Zixuan Wang, Ming Li, Hamid Aghajan
The time people spend in front of computers has been increasing steadily due to the role computers play in modern society.
no code implementations • 24 Jul 2015 • Shitao Weng, Shushan Chen, Lei Yu, Xuewei Wu, Weicheng Cai, Zhi Liu, Ming Li
In order to detect these spoofed speech signals as a countermeasure, we propose a score level fusion approach with several different i-vector subsystems.
no code implementations • 7 Jan 2016 • Lijue Liu, Ming Li, Sha Wen
In this paper, a class of statistics named ART (the alternant recursive topology statistics) is proposed to measure the properties of correlation between two variables.
no code implementations • 2 May 2016 • Ming Li
A method named simple2complex for modeling and training deep neural networks is proposed.
no code implementations • 20 Jul 2016 • Kun Xiong, Anqi Cui, Zefeng Zhang, Ming Li
The novel contextual model generates diverse and robust responses, and is able to carry out conversations on a wide range of topics appropriately.
no code implementations • 10 Feb 2017 • Dianhui Wang, Ming Li
This paper contributes to a development of randomized methods for neural networks.
no code implementations • 15 Feb 2017 • Dianhui Wang, Ming Li
The kernel density estimation (KDE) method is employed to set the penalty weights for each training samples, so that some negative impacts, caused by noisy data or outliers, on the resulting learner model can be reduced.
no code implementations • 18 Feb 2017 • Dianhui Wang, Ming Li
This paper develops a randomized approach for incrementally building deep neural networks, where a supervisory mechanism is proposed to constrain the random assignment of the weights and biases, and all the hidden layers have direct links to the output layer.
21 code implementations • CVPR 2017 • Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song
This paper addresses deep face recognition (FR) problem under open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal inter-class distance under a suitably chosen metric space.
Ranked #1 on Face Verification on CK+
no code implementations • 26 May 2017 • Ming Li, Peilun Xiao, Ju Zhang
In this paper, we explore SPPIM-based text classification method, and the experiment reveals that the SPPIM method is equal to or even superior than SGNS method in text classification task on three international and standard text datasets, namely 20newsgroups, Reuters52 and WebKB.
2 code implementations • PNAS 2017 • Ngoc Hieu Tran, Xianglilan Zhang, Lei Xin, Baozhen Shan, Ming Li
In this study, we propose a deep neural network model, DeepNovo, for de novo peptide sequencing.
2 code implementations • 22 Sep 2017 • Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension.
1 code implementation • 8 Oct 2017 • Ngoc Hieu Tran, Zachariah Levine, Lei Xin, Baozhen Shan, Ming Li
We combine two modules de novo sequencing and database search into a single deep learning framework for peptide identification, and integrate de Bruijn graph assembly technique to offer a complete solution to reconstruct protein sequences from tandem mass spectrometry data.
no code implementations • 21 Nov 2017 • Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li
Computer poetry generation is our first step towards computer writing.
no code implementations • 9 Dec 2017 • Fatema Tuz Zohora, Ngoc Hieu Tran, Xianglilan Zhang, Lei Xin, Baozhen Shan, Ming Li
In this paper we propose a novel deep learning based model, DeepIso, that uses Convolutional Neural Networks (CNNs) to scan an LC-MS map to detect peptide features and estimate their abundance.
1 code implementation • 21 Mar 2018 • Ou Wu, Tao Yang, Mengyang Li, Ming Li
Lexical cues are useful for sentiment analysis, and they have been utilized in conventional studies.
no code implementations • 2 Apr 2018 • Weicheng Cai, Zexin Cai, Xiang Zhang, Xiaoqi Wang, Ming Li
A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification.
no code implementations • 2 Apr 2018 • Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li
After comparing with the state-of-the-art GMM i-vector methods, we give insights into CNN, and reveal its role and effect in the whole pipeline.
no code implementations • 6 Apr 2018 • Bo Jiang, Ming Li, Ravi Tandon
The notion of context-awareness is incorporated in LIP by the introduction of priors, which enables the design of privacy-preserving data aggregation with knowledge of priors.
1 code implementation • 14 Apr 2018 • Weicheng Cai, Jinkun Chen, Ming Li
In the end-to-end system, the encoding layer plays a role in aggregating the variable-length input sequence into an utterance level representation.
no code implementations • 10 May 2018 • Ming Li, Peilun Xiao, Ju Zhang
In this paper, we propose a novel approach based on cost-sensitive ensemble weighted extreme learning machine; we call this approach AE1-WELM.
no code implementations • 10 May 2018 • Ming Li, Peilun Xiao, Ju Zhang
In traditional ELM and its improved versions suffer from the problems of outliers or noises due to overfitting and imbalance due to distribution.
no code implementations • 11 May 2018 • Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou, YUAN, QI
This model can block fraud transactions in a large amount of money each day.
no code implementations • 6 Sep 2018 • Ming Li, Dianhui Wang
Stochastic configuration networks (SCNs) as a class of randomized learner model have been successfully employed in data analytics due to its universal approximation capability and fast modelling property.
1 code implementation • 9 Sep 2018 • Jinkun Chen, Weicheng Cai, Danwei Cai, Zexin Cai, Haibin Zhong, Ming Li
In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task.
1 code implementation • Nature Methods 2018 • Ngoc Hieu Tran, Rui Qiao, Lei Xin, Xin Chen, Chuyi Liu, Xianglilan Zhang, Baozhen Shan, Ali Ghodsi, Ming Li
We present DeepNovo-DIA, a de novo peptide-sequencing method for data-independent acquisition (DIA) mass spectrometry data.
1 code implementation • NAACL 2019 • Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin
We demonstrate an end-to-end question answering system that integrates BERT with the open-source Anserini information retrieval toolkit.
Ranked #4 on Open-Domain Question Answering on SQuAD1.1 dev
no code implementations • 20 Feb 2019 • Weicheng Cai, Danwei Cai, Shen Huang, Ming Li
In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM).
no code implementations • 14 Apr 2019 • Wei Yang, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin
Recently, a simple combination of passage retrieval using off-the-shelf IR techniques and a BERT reader was found to be very effective for question answering directly on Wikipedia, yielding a large improvement over the previous state of the art on a standard benchmark dataset.
Ranked #3 on Open-Domain Question Answering on SQuAD1.1 dev
1 code implementation • 17 Apr 2019 • Rui Qiao, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li, Ali Ghodsi
Personalized cancer vaccines are envisioned as the next generation rational cancer immunotherapy.
no code implementations • 22 Apr 2019 • Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jin-Feng Yi, Bo-Wen Zhou, Zhi-Hua Zhou
We guide the optimization of label quality through a small amount of validation data, and to ensure the safeness of performance while maximizing performance gain.
no code implementations • 24 Apr 2019 • Zheng Ma, Ming Li, Yuguang Wang
In this paper, we propose PAN, a new graph convolution framework that involves every path linking the message sender and receiver with learnable weights depending on the path length, which corresponds to the maximal entropy random walk.
4 code implementations • 25 Apr 2019 • Ming Li, Chunyang Ye, Wei Li
Photorealistic style transfer aims to transfer the style of one image to another, but preserves the original structure and detail outline of the content image, which makes the content image still look like a real shot after the style transfer.
no code implementations • NAACL 2019 • Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin
Consumers dissatisfied with the normal dispute resolution process provided by an e-commerce company{'}s customer service agents have the option of escalating their complaints by filing grievances with a government authority.
no code implementations • 27 Jun 2019 • Chaoyang He, Ming Li
The spatial anti-aliasing technique for line joins (intersections of the road segments) on vector maps is exclusively crucial to visual experience and system performance.
Graphics Computational Geometry
no code implementations • 3 Jul 2019 • Zexin Cai, Yaogen Yang, Chuxiong Zhang, Xiaoyi Qin, Ming Li
This paper describes a conditional neural network architecture for Mandarin Chinese polyphone disambiguation.
no code implementations • 5 Jul 2019 • Weicheng Cai, Haiwei Wu, Danwei Cai, Ming Li
This paper describes our DKU replay detection system for the ASVspoof 2019 challenge.
no code implementations • 10 Jul 2019 • Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang
Graph Neural Networks (GNNs) have become a topic of intense research recently due to their powerful capability in high-dimensional classification and regression tasks for graph-structured data.
1 code implementation • 23 Jul 2019 • Qingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin, Claude Barras
More and more neural network approaches have achieved considerable improvement upon submodules of speaker diarization system, including speaker change detection and segment-wise speaker embedding extraction.
no code implementations • 24 Jul 2019 • Duo Wang, Ming Li, Nir Ben-Shlomo, C. Eduardo Corrales, Yu Cheng, Tao Zhang, Jagadeesan Jayender
The model is trained jointly in a multi-task learning setting.
no code implementations • 24 Jul 2019 • Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li
Our method is built as an end-to-end framework for segmentation and classification.
2 code implementations • 31 Jul 2019 • Quoc T. Le Gia, Ming Li, Yu Guang Wang
The forward FaVeST evaluates the Fourier coefficients and has a computational cost proportional to $N\log \sqrt{N}$ for $N$ number of evaluation points.
Numerical Analysis Computational Complexity Numerical Analysis 65T50, 37C10, 33C55, 65D30 F.2.1; G.4; G.1.4; G.1.2
no code implementations • WS 2019 • Wei Yang, Rui Qiao, Haocheng Qin, Amy Sun, Luchen Tan, Kun Xiong, Ming Li
We tackle the problem of context reconstruction in Chinese dialogue, where the task is to replace pronouns, zero pronouns, and other referring expressions with their referent nouns so that sentences can be processed in isolation without context.
no code implementations • 3 Sep 2019 • Rang Liu, Hongyu Li, Ming Li, Qian Liu
In this paper we investigate the problem of precoder design for a low-resolution IRS-based transmitter to implement multi-user MISO/MIMO wireless communications.
1 code implementation • 12 Sep 2019 • Tingle Li, Jia-Wei Chen, Haowen Hou, Ming Li
Convolutional Neural Network (CNN) or Long short-term memory (LSTM) based models with the input of spectrogram or waveforms are commonly used for deep learning based audio source separation.
Ranked #23 on Music Source Separation on MUSDB18
1 code implementation • ACL 2020 • Hamidreza Shahidi, Ming Li, Jimmy Lin
We consider neural table-to-text generation and neural question generation (NQG) tasks for text generation from structured and unstructured data, respectively.
1 code implementation • ICML 2020 • Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan
Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks.
no code implementations • 25 Sep 2019 • Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan
The input of each pooling layer is transformed by the compressive Haar basis of the corresponding clustering.
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.
1 code implementation • 13 Oct 2019 • Yu Gong, Hongming Shan, Yueyang Teng, Ning Tu, Ming Li, Guodong Liang, Ge Wang, Shan-Shan Wang
The contributions of this paper are twofold: i) a PT-WGAN framework is designed to denoise low-dose PET images without compromising structural details, and ii) a task-specific initialization based on transfer learning is developed to train PT-WGAN using trainable parameters transferred from a pretrained model, which significantly improves the training efficiency of PT-WGAN.
no code implementations • 27 Oct 2019 • Jin-Min Liang, Shu-Qian Shen, Ming Li, Lei LI
In this work, we present a quantum neighborhood preserving embedding and a quantum local discriminant embedding for dimensionality reduction and classification.
1 code implementation • 14 Nov 2019 • Ming Cheng, Kunjing Cai, Ming Li
In recent years, surveillance cameras are widely deployed in public places, and the general crime rate has been reduced significantly due to these ubiquitous devices.
Ranked #6 on Activity Recognition on RWF-2000
no code implementations • 3 Jan 2020 • Wayne Yuan Gao, Ming Li, Sheng Xu
This paper considers a semiparametric model of dyadic network formation under nontransferable utilities (NTU).
no code implementations • 8 Jan 2020 • Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
Click-through rate (CTR) prediction is an essential task in industrial applications such as video recommendation.
1 code implementation • 21 Jan 2020 • Ben Xie, Xiaofu Wu, Suofei Zhang, Shiliang Zhao, Ming Li
Learning diverse features is key to the success of person re-identification.
Ranked #3 on Person Re-Identification on Market-1501-C
1 code implementation • 21 Jan 2020 • Yanmao Man, Ming Li, Ryan Gerdes
In vision-based object classification systems imaging sensors perceive the environment and machine learning is then used to detect and classify objects for decision-making purposes; e. g., to maneuver an automated vehicle around an obstacle or to raise an alarm to indicate the presence of an intruder in surveillance settings.
no code implementations • 9 Feb 2020 • Xiaofu Wu, Ben Xie, Shiliang Zhao, Suofei Zhang, Yong Xiao, Ming Li
In particular, we show that the feature diversity can be well achieved with the use of multiple dropping branches by setting individual dropping ratio for each branch.
no code implementations • 12 Feb 2020 • Mohamed Seif, Ravi Tandon, Ming Li
In this paper, we study the problem of federated learning (FL) over a wireless channel, modeled by a Gaussian multiple access channel (MAC), subject to local differential privacy (LDP) constraints.
Cryptography and Security Information Theory Information Theory
no code implementations • 23 Feb 2020 • Qingjian Lin, Weicheng Cai, Lin Yang, Jun-Jie Wang, Jun Zhang, Ming Li
Our diarization system includes multiple modules, namely voice activity detection (VAD), segmentation, speaker embedding extraction, similarity scoring, clustering, resegmentation and overlap detection.
1 code implementation • ACL 2021 • He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Jie Liu, Ming Li
Experimental results show that the Chinese GPT2 can generate better essay endings with \eop.
no code implementations • 8 Apr 2020 • Qingfeng Wang, Ming Li, Christopher Monroe, Yunseong Nam
This framework, based on perturbation theory, is capable of improving the energy estimate at each cycle of the VQE progression, by about a factor of three closer to the known ground-state energy compared to the standard VQE approach in the test-bed, classically-accessible system of the water molecule.
Quantum Physics Emerging Technologies
1 code implementation • 30 Apr 2020 • He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li
To verify this, we propose a segment-aware Transformer (Segatron), by replacing the original token position encoding with a combined position encoding of paragraph, sentence, and token.
Ranked #20 on Language Modelling on WikiText-103
no code implementations • 1 May 2020 • Ming Li, Chengjia Wang, Heye Zhang, Guang Yang
In addition, for a better interpretation of pathophysiological processes, clinical decision-making and prognosis, such cardiac anatomy segmentation and quantitative analysis of various clinical indices should ideally be performed for the data covering the full cardiac cycle.
no code implementations • 7 May 2020 • Haiwei Wu, Yan Jia, Yuanfei Nie, Ming Li
In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario.
1 code implementation • 10 May 2020 • Zexin Cai, Chuxiong Zhang, Ming Li
The constraint is taken by an added loss related to the speaker identity, which is centralized to improve the speaker similarity between the synthesized speech and its natural reference audio.
no code implementations • 21 May 2020 • Zexin Cai, Yaogen Yang, Ming Li
In addition, we investigate the model's performance on the cross-lingual synthesis, with and without a bilingual dataset during training.
no code implementations • 24 May 2020 • Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Jun-Jie Wang, Ming Li
In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection.
no code implementations • 2 Jun 2020 • Wenhao Cai, Hongyu Li, Ming Li, Qian Liu
In this letter, we aim to investigate the phase-amplitude-frequency relationship of the reflected signals and propose a practical model of reflection coefficient for an IRS-aided wideband system.
no code implementations • 8 Jun 2020 • Aida Ahmadzadegan, Petar Simidzija, Ming Li, Achim Kempf
In effect, the network learns to use the correlated auxiliary noise as an approximate key to decipher its noisy input data.
1 code implementation • 21 Jun 2020 • Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, Ziming Zhang
General graphs are difficult for learning due to their irregular structures.
1 code implementation • NeurIPS 2020 • Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lio
Borrowing ideas from physics, we propose a path integral based graph neural networks (PAN) for classification and regression tasks on graphs.
no code implementations • 2 Jul 2020 • Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang
Therefore, the proposed model can provide a good foundation for assisting the clinical doctors to diagnose the glomerular membranous nephropathy.
no code implementations • 3 Jul 2020 • Yang Liu, Jun Zhao, Ming Li, Qingqing Wu
In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS).
no code implementations • 7 Jul 2020 • Jordan L. Melcher, Yao Zheng, Dylan Anthony, Matthew Troglia, Yanjun Pan, Ming Li, Thomas Yang, Alvin Yang, Samson Aggelopoulos
Their secrecy rate (bit generation rate) depends heavily on the randomness of the channel, which may reduce significantly in a stable environment.
no code implementations • 16 Jul 2020 • Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous, Ming Li, Avelino Javer, Oliver Carr, Stojan Jovanovic, Nadezda Lipunova, Benjamin Irving, Rabia T. Khan, Robert Dürichen
The proposed approach is compared to a standard clinical risk predictor (QRISK) and machine learning alternatives using 5-year data from a NHS Foundation Trust.
no code implementations • 22 Jul 2020 • Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao
In this paper, we propose a framework for graph neural networks with multiresolution Haar-like wavelets, or MathNet, with interrelated convolution and pooling strategies.
no code implementations • 26 Jul 2020 • Hongyu Li, Wenhao Cai, Yang Liu, Ming Li, Qian Liu, Qingqing Wu
Simulation results demonstrate that the proposed algorithm can offer significant average sum-rate enhancement compared to that achieved using the ideal IRS reflection model, which confirms the importance of the use of the practical model for the design of wideband systems.
no code implementations • 29 Jul 2020 • Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst, Qingqing Wu
Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-effective and hardware-efficient fashion.
no code implementations • 12 Aug 2020 • Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Jun-Jie Wang, Dong Zhang, Ming Li
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.
no code implementations • 12 Aug 2020 • Simin Wang, LiGuo Huang, Jidong Ge, Tengfei Zhang, Haitao Feng, Ming Li, He Zhang, Vincent Ng
To improve the applicability and generalizability of research results, we analyzed what ingredients in a study would facilitate an understanding of why a ML/DL technique was selected for a specific SE problem.
no code implementations • 19 Aug 2020 • Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
Despite the well-known fact that a neural network is a universal approximator, in this study, we mathematically show that when hidden parameters are distributed in a bounded domain, the network may not achieve zero approximation error.
no code implementations • EACL 2021 • Mohan Zhang, Luchen Tan, Zhengkai Tu, Zihang Fu, Kun Xiong, Ming Li, Jimmy Lin
The contribution of this work is a novel data generation technique using distant supervision that allows us to start with a pretrained sequence-to-sequence model and fine-tune a paraphrase generator that exhibits this behavior, allowing user-controllable paraphrase generation.
no code implementations • 1 Sep 2020 • Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang
Deep learning based LiDAR odometry (LO) estimation attracts increasing research interests in the field of autonomous driving and robotics.
no code implementations • 4 Sep 2020 • Zhixing Lin, Shuqian Sun, Jose Azana, Wei Li, Ninghua Zhu, Ming Li
This concept represents a novel one-dimensional realization of artificial neural networks, enabling an efficient application of optical deep learning methods to the analysis and processing of serial data signals, while offering a new overall perspective for the temporal signal processing.
1 code implementation • 15 Sep 2020 • Fatema Tuz Zohora, M Ziaur Rahman, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li
A promising technique of discovering disease biomarkers is to measure the relative protein abundance in multiple biofluid samples through liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics.
1 code implementation • 12 Oct 2020 • Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
We propose to utilize the Frank-Wolfe (FW) algorithm in this context.
1 code implementation • ICCV 2021 • Ming Li, Xinming Huang, Ziming Zhang
To learn distinguishable patterns, most of recent works in vehicle re-identification (ReID) struggled to redevelop official benchmarks to provide various supervisions, which requires prohibitive human labors.
no code implementations • 3 Nov 2020 • Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li
Confusing-words are commonly encountered in real-life keyword spotting applications, which causes severe degradation of performance due to complex spoken terms and various kinds of words that sound similar to the predefined keywords.
no code implementations • 22 Nov 2020 • Yang Liu, Jun Zhao, Ming Li, Qingqing Wu
In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS).
no code implementations • 1 Dec 2020 • Weicheng Cai, Ming Li
This paper proposes a unified deep speaker embedding framework for modeling speech data with different sampling rates.
no code implementations • 25 Dec 2020 • Wanning Yang, Hongyu Li, Ming Li, Yang Liu, Qian Liu
Different from the prior works which assume that IRS has an ideal reflection model, we perform channel estimation by considering amplitude-phase shift-frequency relationship for the response of practical IRS.
no code implementations • 5 Jan 2021 • Wenhao Cai, Rang Liu, Yang Liu, Ming Li, Qian Liu
Therefore, the practical phase shift model, which can describe the difference of IRS phase shift responses for the signals with different frequencies, should be utilized in the IRS optimization for wideband and multi-band systems.
no code implementations • 2 Feb 2021 • Ming Li, Vladimir V. Skokov
This paper is the first in a series of papers towards analytically completing the first saturation correction to physical observables in high energy proton-nucleus collisions.
High Energy Physics - Phenomenology Nuclear Theory
1 code implementation • 13 Feb 2021 • Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Lio, Ming Li, Guido Montufar
The graph neural networks with the proposed framelet convolution and pooling achieve state-of-the-art performance in many node and graph prediction tasks.
no code implementations • ICLR Workshop GTRL 2021 • Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
Geometric deep learning that employs the geometric and topological features of data has attracted increasing attention in deep neural networks.
2 code implementations • Nature Machine Intelligence 2021 • Rui Qiao, Ngoc Hieu Tran, Lei Xin, Xin Chen, Ming Li, Baozhen Shan, Ali Ghodsi
De novo peptide sequencing is the key technology for finding novel peptides from mass spectra.
no code implementations • 6 Apr 2021 • Tinglong Zhu, Xiaoyi Qin, Ming Li
Although deep neural networks are successful for many tasks in the speech domain, the high computational and memory costs of deep neural networks make it difficult to directly deploy highperformance Neural Network systems on low-resource embedded devices.
no code implementations • 11 Apr 2021 • Yechen Wang, Yan Jia, Murong Ma, Zexin Cai, Ming Li
This paper introduces the system submitted by the DKU-SMIIP team for the Auto-KWS 2021 Challenge.
no code implementations • 12 Apr 2021 • Jiyang Tang, Ming Li
In this paper, we propose an end-to-end Mandarin tone classification method from continuous speech utterances utilizing both the spectrogram and the short-term context information as the input.
1 code implementation • 22 Apr 2021 • Yaogen Yang, Haozhe Zhang, Xiaoyi Qin, Shanshan Liang, Huahua Cui, Mingyang Xu, Ming Li
We achieve cross-lingual VC between Mandarin speech with multiple speakers and English speech with multiple speakers by applying bilingual bottleneck features.
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.
no code implementations • 27 Jun 2021 • Sifan Liu, Pengfei Ni, Rang Liu, Yang Liu, Ming Li, Qian Liu
During the dynamical access process, an iterative algorithm is proposed to alternatively obtain the active and passive beamforming.
no code implementations • 3 Jul 2021 • Ming Li, Pradeep K. Murukannaiah, Catholijn M. Jonker
Our approach includes a data generation method for an agent to generate domain-independent sequences by negotiating with a variety of opponents across domains, a feature engineering method for representing negotiation data as time series with time-step features and overall features, and a hybrid (recurrent neural network-based) deep learning method for recognizing an opponent's strategy from the time series of bids.
no code implementations • 24 Jul 2021 • Yanan Ma, Rang Liu, Yang Liu, Ming Li, Qian Liu
Reconfigurable intelligent surfaces (RISs) have been deemed as one of potential components of future wireless communication systems because they can adaptively manipulate the wireless propagation environment with low-cost passive devices.
no code implementations • 11 Aug 2021 • Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst
In this paper, we consider multi-input multi-output (MIMO) DFRC systems and focus on transmit beamforming designs to provide both radar sensing and multi-user communications.
no code implementations • 5 Sep 2021 • Weiqing Wang, Danwei Cai, Qingjian Lin, Lin Yang, Junjie Wang, Jin Wang, Ming Li
This report describes the submission of the DKU-DukeECE-Lenovo team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2021 track 4.
no code implementations • 7 Sep 2021 • Danwei Cai, Ming Li
Taking advantage of DNN's ability to learn from data with label noise, we propose to cluster the speaker embedding obtained from the previous speaker network and use the subsequent class assignments as pseudo labels to train a new DNN.
no code implementations • 29 Sep 2021 • Pengfei Tang, Wenjie Wang, Xiaolan Gu, Jian Lou, Li Xiong, Ming Li
To solve this challenge, a reconstruction network is built before the public pre-trained classifiers to offer certified robustness and defend against adversarial examples through input perturbation.
1 code implementation • 29 Sep 2021 • Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke
We propose a set of metrics that measure the repeat/explore ratio and performance of NBR models.
no code implementations • 3 Oct 2021 • Ming Li
This paper proposes a random coefficient panel model where the regressors are correlated with the time-varying random coefficients in each period, a critical feature in many economic applications.
no code implementations • 8 Oct 2021 • Ming Li, Chenhao Guo
Computer vision is widely used in the fields of driverless, face recognition and 3D reconstruction as a technology to help or replace human eye perception images or multidimensional data through computers.
no code implementations • 12 Oct 2021 • Wei Mei, Ming Li, Yuanzeng Cheng, Limin Liu
This paper managed to induce probability theory (sigma system) and possibility theory (max system) respectively from randomness and fuzziness, through which the premature theory of possibility is expected to be well founded.
no code implementations • 22 Oct 2021 • Xiaolan Gu, Ming Li, Li Xiong
In this paper, we develop a framework called PRECAD, which simultaneously achieves differential privacy (DP) and enhances robustness against model poisoning attacks with the help of cryptography.
1 code implementation • 6 Nov 2021 • Haozhe Zhang, Zexin Cai, Xiaoyi Qin, Ming Li
Moreover, speaker information control is added to our system to maintain the voice cloning performance.
no code implementations • 20 Nov 2021 • Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
To overcome the aforementioned problems, we introduce a novel self-supervised graph representation learning algorithm via Graph Contrastive Adjusted Zooming, namely G-Zoom, to learn node representations by leveraging the proposed adjusted zooming scheme.
no code implementations • 27 Nov 2021 • Yucong Zhang, Qinjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li
To ensure the low latency in the online setting, we introduce a variant of AHC, namely chkpt-AHC, to cluster the speakers.
no code implementations • 16 Dec 2021 • Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Reconfigurable intelligent surface (RIS) is a promising technology for 6G networks owing to its superior ability to enhance the capacity and coverage of wireless communications by smartly creating a favorable propagation environment.
no code implementations • 27 Dec 2021 • Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao
At last, we develop an Ensemble Prediction Network (EPN) which incorporates the output of FRN and DMN to make the final CVR prediction.
no code implementations • 3 Jan 2022 • Ming Li
Therefore, we propose Clustering and Filter of Tokens (CaFT) with Vision Transformer (ViT) backbone to solve this problem in another way.
1 code implementation • 23 Jan 2022 • Jiasi Weng, Jian Weng, Gui Tang, Anjia Yang, Ming Li, Jia-Nan Liu
First, a CNN model to be tested is strategically partitioned into a private part kept locally by the model developer, and a public part outsourced to an outside server.
no code implementations • 26 Jan 2022 • Zexin Cai, Ming Li
In this paper, we propose an invertible deep learning framework called INVVC for voice conversion.
no code implementations • 6 Feb 2022 • Weiqing Wang, Xiaoyi Qin, Ming Li
The multi-channel TS-VAD further reduces the DER by 28% and achieves a DER of 2. 26%.
1 code implementation • 11 Feb 2022 • Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang
We demonstrate the effectiveness of our model with the combination of limited labelled data and sufficient unlabelled data or weakly-labelled data.
no code implementations • 14 Feb 2022 • Xin Zheng, Yi Wang, Yixin Liu, Ming Li, Miao Zhang, Di Jin, Philip S. Yu, Shirui Pan
In the end, we point out the potential directions to advance and stimulate more future research and applications on heterophilic graph learning with GNNs.
no code implementations • 17 Feb 2022 • Yuhan Yao, Yuhe Zhao, Yanxian Wei, Feng Zhou, Daigao Chen, Yuguang Zhang, Xi Xiao, Ming Li, Jianji Dong, Shaohua Yu, Xinliang Zhang
We demonstrate a fully-integrated multipurpose microwave frequency identification system on silicon-on-insulator platform.
no code implementations • 1 Mar 2022 • Rang Liu, Ming Li, A. Lee Swindlehurst
In this paper, we investigate the potential of employing reconfigurable intelligent surface (RIS) in integrated sensing and communication (ISAC) systems.
no code implementations • 13 Apr 2022 • Wenhao Cai, Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an energy/spectrum/hardware-efficient manner.
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.
1 code implementation • 30 May 2022 • Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao
Learning efficient graph representation is the key to favorably addressing downstream tasks on graphs, such as node or graph property prediction.
no code implementations • 15 Jun 2022 • Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R Hancock
To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general task is to enrich a KG using triples from an open corpus, where the obtained triples contain noisy entities and relations.
no code implementations • 17 Jun 2022 • Bang Zeng, Hongbing Suo, Yulong Wan, Ming Li
The common target speech separation directly estimate the target source, ignoring the interrelationship between different speakers at each frame.
no code implementations • 17 Jun 2022 • Rang Liu, Ming Li, Honghao Luo, Qian Liu, A. Lee Swindlehurst
Integrated sensing and communication (ISAC) is emerging as a key enabler to address the growing spectrum congestion problem and satisfy increasing demands for ubiquitous sensing and communication.
no code implementations • 18 Jun 2022 • Danwei Cai, Zexin Cai, Ming Li
An automatic speaker verification system aims to verify the speaker identity of a speech signal.
no code implementations • 22 Jun 2022 • Ming Li, Jie Wu, Jinhang Cai, Jie Qin, Yuxi Ren, Xuefeng Xiao, Min Zheng, Rui Wang, Xin Pan
Recently, Synthetic data-based Instance Segmentation has become an exceedingly favorable optimization paradigm since it leverages simulation rendering and physics to generate high-quality image-annotation pairs.
no code implementations • 23 Jun 2022 • Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin
Most real-world problems that machine learning algorithms are expected to solve face the situation with 1) unknown data distribution; 2) little domain-specific knowledge; and 3) datasets with limited annotation.
1 code implementation • 27 Jun 2022 • Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan
This brings up a new question: is it possible to combine learning from limited real data in offline RL and unrestricted exploration through imperfect simulators in online RL to address the drawbacks of both approaches?
no code implementations • 1 Jul 2022 • Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan
In this paper, we propose the Discriminator-guided Model-based offline Imitation Learning (DMIL) framework, which introduces a discriminator to simultaneously distinguish the dynamics correctness and suboptimality of model rollout data against real expert demonstrations.
1 code implementation • 13 Jul 2022 • Xiaoyi Qin, Na Li, Chao Weng, Dan Su, Ming Li
In this paper, we mine cross-age test sets based on the VoxCeleb dataset and propose our age-invariant speaker representation(AISR) learning method.
no code implementations • 13 Jul 2022 • Weiqing Wang, Qingjian Lin, Ming Li
We iteratively extract the results for each block and update the target speaker embedding until reaching the end of the signal.
no code implementations • 15 Jul 2022 • Xingming Wang, Xiaoyi Qin, Yikang Wang, Yunfei Xu, Ming Li
For CM systems, we propose two methods on top of the challenge baseline to further improve the performance, namely Embedding Random Sampling Augmentation (ERSA) and One-Class Confusion Loss(OCCL).
no code implementations • 3 Aug 2022 • Honghao Luo, Rang Liu, Ming Li, Yang Liu, Qian Liu
Integrated sensing and communication (ISAC) has been envisioned as a promising technology to tackle the spectrum congestion problem for future networks.
no code implementations • 10 Aug 2022 • Pengfei Ni, Rang Liu, Ming Li, Qian Liu
In an effort to further exploit multiple-antenna diversities, we also consider the dynamic subarray architecture and propose a novel antenna design algorithm for the analog beamforming design.
no code implementations • 10 Aug 2022 • Pengfei Ni, Ming Li, Rang Liu, Qian Liu
Cell-free networks are regarded as a promising technology to meet higher rate requirements for beyond fifth-generation (5G) communications.
no code implementations • 14 Aug 2022 • Haoyuan He, WangZhou Dai, Ming Li
Integrating logical reasoning and machine learning by approximating logical inference with differentiable operators is a widely used technique in Neuro-Symbolic systems.
1 code implementation • 22 Aug 2022 • Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang
Consequently, we offer the first attempt to provide lightweight SSSS models via a novel multi-granularity distillation (MGD) scheme, where multi-granularity is captured from three aspects: i) complementary teacher structure; ii) labeled-unlabeled data cooperative distillation; iii) hierarchical and multi-levels loss setting.
Knowledge Distillation Semi-Supervised Semantic Segmentation
no code implementations • 1 Sep 2022 • Wenhao Cai, Ming Li, Qian Liu
Intelligent reflecting surface (IRS) has emerged as a promising and revolutionizing technology for future wireless networks.
no code implementations • 1 Sep 2022 • Wenhao Cai, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Intelligent reflecting surface (IRS) has been widely considered as one of the key enabling techniques for future wireless communication networks owing to its ability of dynamically controlling the phase shift of reflected electromagnetic (EM) waves to construct a favorable propagation environment.
no code implementations • 5 Sep 2022 • Yanan Ma, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Reconfigurable intelligent surface (RIS) has been deemed as one of potential components of future wireless communication systems because it can adaptively manipulate the wireless propagation environment with low-cost passive devices.
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.
1 code implementation • 12 Sep 2022 • Xiaoyi Qin, Ming Li, Hui Bu, Shrikanth Narayanan, Haizhou Li
In addition, a supplementary set for the FFSVC2020 dataset is released this year.
no code implementations • 19 Sep 2022 • Changli Li, Zheng Han, Yange Li, Ming Li, Weidong Wang
To show the performance of the RC-ESN model, we also provide a sensitivity analysis of the prediction accuracy concerning the key parameters including training set size, reservoir size, and spectral radius.
no code implementations • 4 Oct 2022 • Weiqing Wang, Xiaoyi Qin, Ming Cheng, Yucong Zhang, Kangyue Wang, Ming Li
This paper discribes the DKU-DukeECE submission to the 4th track of the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22).
no code implementations • 5 Oct 2022 • Qi Zhu, Ming Li, Rang Liu, Yang Liu, Qian Liu
Affected by the "double fading" effect, however, conventional passive RIS cannot bring considerable performance improvement when users are not close enough to RIS.
no code implementations • 13 Oct 2022 • Yuxiang Zhang, Jingze Lu, Xingming Wang, Zhuo Li, Runqiu Xiao, Wenchao Wang, Ming Li, Pengyuan Zhang
The overfitting of the model to the training set leads to extreme values of the scores and low correlation of the score distributions, which makes score fusion difficult.
1 code implementation • 18 Oct 2022 • Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li
Based on the RibSeg v2, we develop a pipeline including deep learning-based methods for rib labeling, and a skeletonization-based method for centerline extraction.
no code implementations • 18 Oct 2022 • Ming Li, Ruihong Huang
Complex feature extractors are widely employed for text representation building.
no code implementations • 25 Oct 2022 • Rang Liu, Zhu Bo, Ming Li, Qian Liu
To overcome the performance bottleneck of these approaches, in this letter we propose an end-to-end learning based approach to jointly optimize the modulation orders, the transmit precoding and the receive detection for an SLP communication system.
no code implementations • 28 Oct 2022 • Ming Cheng, Weiqing Wang, Yucong Zhang, Xiaoyi Qin, Ming Li
Target-speaker voice activity detection is currently a promising approach for speaker diarization in complex acoustic environments.
no code implementations • 28 Oct 2022 • Yuke Lin, Xiaoyi Qin, Huahua Cui, Zhenyi Zhu, Ming Li
We collect a set of clips with laughter components by conducting a laughter detection script on VoxCeleb and part of the CN-Celeb dataset.
no code implementations • 1 Nov 2022 • Zexin Cai, Weiqing Wang, Ming Li
The present paper proposes a waveform boundary detection system for audio spoofing attacks containing partially manipulated segments.
no code implementations • 5 Nov 2022 • Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
In this work, we propose a family of novel quantum kernels, namely the Hierarchical Aligned Quantum Jensen-Shannon Kernels (HAQJSK), for un-attributed graphs.
no code implementations • 1 Dec 2022 • Jinjin Chu, Rang Liu, Ming Li, Yang Liu, Qian Liu
Integrated sensing and communication (ISAC), which allows individual radar and communication systems to share the same spectrum bands, is an emerging and promising technique for alleviating spectrum congestion problems.
no code implementations • 5 Dec 2022 • Quanxi Shao, Ming Li, Joel Janek Dabrowski, Shuvo Bakar, Ashfaqur Rahman, Andrea Powell, Brent Henderson
With increasing number of crowdsourced private automatic weather stations (called TPAWS) established to fill the gap of official network and obtain local weather information for various purposes, the data quality is a major concern in promoting their usage.
1 code implementation • 8 Dec 2022 • Jiageng Zhong, Ming Li, Hanqi Zhang, Jiangying Qin
Corals are the primary habitat-building life-form on reefs that support a quarter of the species in the ocean.
no code implementations • CVPR 2023 • Ming Li, Qingli Li, Yan Wang
The second key element is that we design class balanced adaptive thresholds via considering the empirical distribution of all training data in local clients, to encourage a balanced training process.
no code implementations • 3 Jan 2023 • Zhiying Jiang, Rui Wang, Dongbo Bu, Ming Li
We aim to bridge the gap between our common-sense few-sample human learning and large-data machine learning.
no code implementations • 7 Jan 2023 • Jiageng Zhong, Ming Li, Jiangying Qin, Hanqi Zhang
The emerging drone aerial survey has the advantages of low cost, high efficiency, and flexible use.
no code implementations • ICCV 2023 • Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan
For the first time, we introduce vision Transformers into PPAR by treating a video as a tubelet sequence, and accordingly design two complementary mechanisms, i. e., sparsification and anonymization, to remove privacy from a spatio-temporal perspective.
no code implementations • 26 Jan 2023 • Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst
Two optimization problems are formulated for maximizing the achievable sum-rate of the multi-user communications under an SNR constraint for target detection or a CRB constraint for parameter estimation, the transmit power budget, and the unit-modulus constraint of the RIS reflection coefficients.
1 code implementation • 5 Feb 2023 • Ming Li, Xinming Huang, Ziming Zhang
To learn distinguishable patterns, most of recent works in vehicle re-identification (ReID) struggled to redevelop official benchmarks to provide various supervisions, which requires prohibitive human labors.
1 code implementation • 19 Feb 2023 • Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Kristen A. Lindquist, Zhiyuan Liu, Dan Zhang
Humans no doubt use language to communicate about their emotional experiences, but does language in turn help humans understand emotions, or is language just a vehicle of communication?
no code implementations • 21 Feb 2023 • Qi Zhu, Ming Li, Rang Liu, Qian Liu
Integrated sensing and communication (ISAC) is recognized as a promising technology with great potential in saving hardware and spectrum resources, since it simultaneously realizes radar detection and user communication functions in the fully-shared platform.
no code implementations • 22 Feb 2023 • Honghao Luo, Rang Liu, Ming Li, Qian Liu
Integrated sensing and communication (ISAC) has been envisioned as a promising technique to alleviate the spectrum congestion problem.
no code implementations • 4 Mar 2023 • Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
For pairwise graphs, the proposed AERK kernel is defined by computing a reproducing kernel based similarity between the quantum Shannon entropies of their each pair of aligned vertices.
no code implementations • 17 Mar 2023 • Ming Li, Chengfeng Lin, Wei Chen, Yusheng Liu, Shuming Gao, Qiang Zou
As such, it can establish a direct mapping between design models and analysis models, which in turn enables automatic updates on simulation results for design modifications, and vice versa -- effectively a closed loop between CAD and CAE.
no code implementations • CVPR 2023 • Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang
Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more general-purpose application scenarios.
Ranked #6 on Open Vocabulary Panoptic Segmentation on ADE20K
no code implementations • 4 Apr 2023 • Ming Li, Zhiyong Sun, Zirui Liao, Siep Weiland
Model predictive control (MPC) with control barrier functions (CBF) is a promising solution to address the moving obstacle collision avoidance (MOCA) problem.
no code implementations • 10 Apr 2023 • Yu Hou, Cong Tran, Ming Li, Won-Yong Shin
In social networks, the discovery of community structures has received considerable attention as a fundamental problem in various network analysis tasks.
1 code implementation • 10 Apr 2023 • Ming Li, Naiyin Liu, Xiaofeng Pan, Yang Huang, Ningning Li, Yingmin Su, Chengjun Mao, Bo Cao
Then the frequency spectrum is modulated by category information of the target item to model the bias that both the upper bound of fatigue and users' patience is different for different categories.
no code implementations • 18 May 2023 • Xin-Ye Li, Jiang-Tian Xue, Zheng Xie, Ming Li
We demonstrate that Brainstorm significantly enhances the ability of LLMs to solve competition-level programming problems, resulting in a more than 50% increase in the pass@$k$ metrics for ChatGPT on the CodeContests benchmark, achieving state-of-the-art performance.
no code implementations • 20 May 2023 • Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li
For a single-layer GCN, we establish an explicit theoretical understanding of GCN with the $\ell_p$-regularized stochastic learning by analyzing the stability of our SGD proximal algorithm.
no code implementations • 23 May 2023 • Zheng Xie, Yu Liu, Hao-Yuan He, Ming Li, Zhi-Hua Zhou
Since acquiring perfect supervision is usually difficult, real-world machine learning tasks often confront inaccurate, incomplete, or inexact supervision, collectively referred to as weak supervision.
no code implementations • 25 May 2023 • Zheng Xie, Yu Liu, Ming Li
In this paper, we study the problem of building an AUC (area under ROC curve) optimization model from multiple unlabeled datasets, which maximizes the pairwise ranking ability of the classifier.
no code implementations • 30 May 2023 • Peishi Li, Zichao Xiao, Ming Li, Rang Liu, Qian Liu
Integrated sensing and communication (ISAC) is a promising technology in future wireless systems owing to its efficient hardware and spectrum utilization.
1 code implementation • 2 Jun 2023 • Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Pietro Lió
In this study, we propose a feature reuse framework that guides the step-by-step texture reconstruction process through different stages, reducing the negative impacts of perceptual and adversarial loss.
1 code implementation • 7 Jun 2023 • Jianfei Li, Ruigang Zheng, Han Feng, Ming Li, Xiaosheng Zhuang
The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network models and suggests aggregations beyond the 1-hop neighborhood.
1 code implementation • 23 Jun 2023 • Tom Tongjia Chen, Hongshan Yu, Zhengeng Yang, Ming Li, Zechuan Li, Jingwen Wang, Wei Miao, Wei Sun, Chen Chen
Affordance-Centric Question-driven Task Completion (AQTC) has been proposed to acquire knowledge from videos to furnish users with comprehensive and systematic instructions.
no code implementations • 3 Jul 2023 • Bo Jiang, Tianchi Zhao, Ming Li
This paper investigates the problem of regret minimization for multi-armed bandit (MAB) problems with local differential privacy (LDP) guarantee.
no code implementations • 5 Jul 2023 • Shaogao Lv, Gang Wen, Shiyu Liu, Linsen Wei, Ming Li
Overall, our research highlights the importance of integrating feature and graph information alignment in GSL, as inspired by our derived theoretical result, and showcases the superiority of our approach in handling noisy graph structures through comprehensive experiments on real-world datasets.
1 code implementation • ICCV 2023 • Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan
To this end, we propose AlignDet, a unified pre-training framework that can be adapted to various existing detectors to alleviate the discrepancies.
1 code implementation • 2 Aug 2023 • Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
In next basket recommendation (NBR), it is useful to distinguish between repeat items, i. e., items that a user has consumed before, and explore items, i. e., items that a user has not consumed before.
no code implementations • 7 Aug 2023 • Zichao Xiao, Rang Liu, Ming Li, Qian Liu
Therefore, the proposed joint estimation algorithm can achieve larger processing gains and higher resolution by fully exploiting echo signals and jointly estimating the angle-range-velocity information.
no code implementations • 14 Aug 2023 • Yuke Lin, Xiaoyi Qin, Guoqing Zhao, Ming Cheng, Ning Jiang, Haiyang Wu, Ming Li
In this paper, we introduce a large-scale and high-quality audio-visual speaker verification dataset, named VoxBlink.
no code implementations • 14 Aug 2023 • Cynthia Huang, Yuqing Xie, Zhiying Jiang, Jimmy Lin, Ming Li
Leveraging the approximated information distance, our method allows the direct application of GPT models in quantitative text similarity measurements.
no code implementations • 15 Aug 2023 • Ming Cheng, Weiqing Wang, Xiaoyi Qin, Yuke Lin, Ning Jiang, Guoqing Zhao, Ming Li
This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23).
no code implementations • 17 Aug 2023 • Ze Li, Yuke Lin, Xiaoyi Qin, Ning Jiang, Guoqing Zhao, Ming Li
For Track 1, we utilize a network structure based on ResNet for training.